diff --git a/Code/Niko/DBCrawl.py b/Code/Niko/DBCrawl.py
index 4588f8c9b6796d863b3734b5aa37ae20366c733f..7a87c36eb3d12bc6c0e7b4ce8c78e0df31b8b3cf 100644
--- a/Code/Niko/DBCrawl.py
+++ b/Code/Niko/DBCrawl.py
@@ -17,18 +17,29 @@ __date__ = 2016-03-25
# ### Function to iterate through given directory and return images paths and classLabels
-def imgCrawl(path, sClassLabels, nameDB):
+def imgCrawl(path, sClassLabels, nameDB, nbClasses):
df = pd.DataFrame()
+
+ i = 0
for subdir, dirs, files in os.walk(path): # loop through subdirectories
- for file in files:
+ # sort dirs and files
+ dirs.sort(key=lambda y: y.lower())
+ files.sort(key=lambda y: y.lower())
+
+ # if the amount of classes to be evalauated is limited
+ if(i>=nbClasses):
+ break
+
+ # loop througe files and create df
+ for file in files:
pathOfFile = os.path.join(subdir, file) #path of file
head, classLabel = os.path.split(os.path.split(pathOfFile)[0]) # get directoryname of file as classLabel
# assign integer label for dataframe
classLabel = sClassLabels[sClassLabels == classLabel].index[0]
df = df.append({'classLabel': classLabel, 'pathOfFile': pathOfFile}, ignore_index=True)
-
+ i+=1
# DatabaseName: if name is given use it, if not will use name of the Folder of DB
if(nameDB==""):
@@ -39,9 +50,15 @@ def imgCrawl(path, sClassLabels, nameDB):
# ### Function to determine Class-Labels with Integer representation
# function to determine Class-labels and return Series
-def getClassLabels(path):
+def getClassLabels(path, nbClasses):
data = os.listdir(path) # listdir returns all subdirectories
- index = range(0,len(data))
+ data.sort(key=lambda y: y.lower())
+
+ if(len(data)>nbClasses):
+ data = data[0:nbClasses]
+ index = range(0,nbClasses)
+ else:
+ index = range(0,len(data))
# return Class-Labels
return pd.Series(data,index)
\ No newline at end of file
diff --git a/Code/Niko/ExecClassifMonoView.py b/Code/Niko/ExecClassifMonoView.py
index 5815c92ccdf55888f17605206ebd5b396c4ffa8b..9dbe50428d4543db2cc0ebca5439aaf75166985b 100644
--- a/Code/Niko/ExecClassifMonoView.py
+++ b/Code/Niko/ExecClassifMonoView.py
@@ -11,7 +11,8 @@ import os # to geth path of the running script
# Import 3rd party modules
import numpy as np # for reading CSV-files and Series
import pandas as pd # for Series and DataFrames
-import logging # To create Log-Files
+import logging # To create Log-Files
+from sklearn import metrics # For stastics on classification
# Import own modules
import ClassifMonoView # Functions for classification
@@ -29,10 +30,11 @@ description='This methods permits to execute a multiclass classification with on
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
groupStandard = parser.add_argument_group('necessary arguments')
-groupStandard.add_argument('--name', metavar='STRING', action='store', help='Name of Database (default: %(default)s)', default='Caltech')
+groupStandard.add_argument('--name', metavar='STRING', action='store', help='Name of Database (default: %(default)s)', default='DB')
groupStandard.add_argument('--feat', metavar='STRING', action='store', help='Name of Feature for Classification (default: %(default)s)', default='RGB')
groupStandard.add_argument('--pathF', metavar='STRING', action='store', help='Path to the features (default: %(default)s)', default='Results-FeatExtr/')
groupStandard.add_argument('--fileCL', metavar='STRING', action='store', help='Name of classLabels CSV-file (default: %(default)s)', default='classLabels.csv')
+groupStandard.add_argument('--fileCLD', metavar='STRING', action='store', help='Name of classLabels-Description CSV-file (default: %(default)s)', default='classLabels-Description.csv')
groupStandard.add_argument('--fileFeat', metavar='STRING', action='store', help='Name of feature CSV-file (default: %(default)s)', default='feature.csv')
groupStandard.add_argument('-log', action='store_true', help='Use option to activate Logging to Console')
@@ -40,7 +42,7 @@ groupClass = parser.add_argument_group('Classification arguments')
groupClass.add_argument('--CL_split', metavar='FLOAT', action='store', help='Determine the the train size', type=float, default=0.8)
groupClass.add_argument('--CL_RF_trees', metavar='STRING', action='store', help='GridSearch: Determine the trees', default='25 75 125 175')
groupClass.add_argument('--CL_RF_CV', metavar='INT', action='store', help='Number of k-folds for CV', type=int, default=10)
-groupClass.add_argument('--CL_RF_Cores', metavar='INT', action='store', help='Number of cores', type=int, default=1)
+groupClass.add_argument('--CL_RF_Cores', metavar='INT', action='store', help='Number of cores, -1 for all', type=int, default=1)
args = parser.parse_args()
num_estimators = map(int, args.CL_RF_trees.split())
@@ -70,7 +72,7 @@ if(args.log):
logging.debug("### Main Programm for Classification MonoView")
logging.debug("### Classification - Database:" + str(args.name) + " Feature:" + str(args.feat) + " train_size:" + str(args.CL_split) + ", GridSearch of Trees:" + args.CL_RF_trees + ", CrossValidation k-folds:" + str(args.CL_RF_CV) + ", cores:" + str(args.CL_RF_Cores))
-# Einlesen von Features
+# Read the features
logging.debug("Start:\t Read CSV Files")
X = np.genfromtxt(args.pathF + args.fileFeat, delimiter=';')
@@ -100,7 +102,7 @@ df_class_res = df_class_res.append({'a_class_time':t_end, 'b_cl_desc': cl_desc,
'd_cl_score': cl_res.best_score_}, ignore_index=True)
logging.debug("Info:\t Time for Classification: " + str(t_end) + "[s]")
-logging.debug("End:\t Classification")
+logging.debug("Done:\t Classification")
# CSV Export
logging.debug("Start:\t Exporting to CSV")
@@ -109,6 +111,33 @@ filename = datetime.datetime.now().strftime("%Y_%m_%d") + "-CMV-" + args.name +
ExportResults.exportPandasToCSV(df_class_res, dir, filename)
logging.debug("Done:\t Exporting to CSV")
+# Stats Result
+y_test_pred = cl_res.predict(X_test)
+classLabelsDesc = pd.read_csv(args.pathF + args.fileCLD, sep=";", names=['label', 'name'])
+classLabelsNames = classLabelsDesc.name
+#logging.debug("" + str(classLabelsNames))
+classLabelsNamesList = classLabelsNames.values.tolist()
+#logging.debug(""+ str(classLabelsNamesList))
+
+logging.debug("Start:\t Statistic Results")
+logging.debug("Info:\t Accuracy classification score:" + ExportResults.accuracy_score(y_test, y_test_pred))
+logging.debug("Info:\t Classification report:")
+filename = datetime.datetime.now().strftime("%Y_%m_%d") + "-CMV-" + args.name + "-" + args.feat + "-Report"
+logging.debug("\n" + str(metrics.classification_report(y_test, y_test_pred, labels = range(0,len(classLabelsDesc.name)), target_names=classLabelsNamesList)))
+scores_df = ExportResults.classification_report_df(dir, filename, y_test, y_test_pred, range(0,len(classLabelsDesc.name)), classLabelsNamesList)
+logging.debug("Info:\t Statistics:")
+filename = datetime.datetime.now().strftime("%Y_%m_%d") + "-CMV-" + args.name + "-" + args.feat + "-Stats"
+stats_df = ExportResults.classification_stats(dir,filename,scores_df)
+logging.debug("\n" + stats_df.to_string())
+logging.debug("Info:\t Calculate Confusionmatrix")
+filename = datetime.datetime.now().strftime("%Y_%m_%d") + "-CMV-" + args.name + "-" + args.feat + "-ConfMatrix"
+df_conf_norm = ExportResults.confusion_matrix_df(dir, filename, y_test, y_test_pred, classLabelsNamesList)
+filename = datetime.datetime.now().strftime("%Y_%m_%d") + "-CMV-" + args.name + "-" + args.feat + "-ConfMatrixImg"
+ExportResults.plot_confusion_matrix(dir, filename, df_conf_norm)
+#logging.debug("\n" + str(metrics.confusion_matrix(y_test, y_test_pred, labels=classLabelsNamesList)))
+logging.debug("Done:\t Statistic Results")
+
+
# Plot Result
logging.debug("Start:\t Plot Result")
np_score = ExportResults.calcScorePerClass(y_test, cl_res.predict(X_test).astype(int))
@@ -117,4 +146,3 @@ ExportResults.showResults(dir, filename, args.name, args.feat, np_score)
logging.debug("Done:\t Plot Result")
-
diff --git a/Code/Niko/ExecFeatExtraction.py b/Code/Niko/ExecFeatExtraction.py
index 5392de5fb881dd2af604078514423dbb39205371..ab437ab6d77933ad7438ef6051d588c985694074 100644
--- a/Code/Niko/ExecFeatExtraction.py
+++ b/Code/Niko/ExecFeatExtraction.py
@@ -29,7 +29,7 @@ formatter_class=argparse.ArgumentDefaultsHelpFormatter)
groupStandard = parser.add_argument_group('necessary arguments')
groupStandard.add_argument('--name', metavar='STRING', action='store', help='Select a name of DB, e.g. Caltech (default: %(default)s)', default='DB')
-groupStandard.add_argument('--path', metavar='STRING', action='store', help='Path to the database (default: %(default)s)', default='D:\\CaltechMini')
+groupStandard.add_argument('--path', metavar='STRING', action='store', help='Path to the database (default: %(default)s)', default='../DB/Caltech')
groupStandard.add_argument('-log', action='store_true', help='Use option to activate Logging to Console')
groupRGB = parser.add_argument_group('RGB arguments')
@@ -155,7 +155,7 @@ if(args.HSV):
h_bins = args.HSV_H_Bins
s_bins = args.HSV_S_Bins
v_bins = args.HSV_V_Bins
- histSize = [h_bins, s_bins, v_bins]
+ histSize = [h_bins,s_bins,v_bins]
# Infos
logging.debug("HSV:\t HSVBins=[" + str(h_bins) + "," + str(s_bins) + "," + str(v_bins) + "], Norm=" + boolNormToStr(args.HSV_NMinMax))
diff --git a/Code/Niko/ExecFeatParaOpt.py b/Code/Niko/ExecFeatParaOpt.py
index 04577ac48a4af6d3b09e5e19201883ef4ee74723..e396bf773d2b812b7ef9afd5fe0aa06196a27116 100644
--- a/Code/Niko/ExecFeatParaOpt.py
+++ b/Code/Niko/ExecFeatParaOpt.py
@@ -29,10 +29,12 @@ formatter_class=argparse.ArgumentDefaultsHelpFormatter)
groupStandard = parser.add_argument_group('necessary arguments')
groupStandard.add_argument('--name', metavar='STRING', action='store', help='Select a name of DB, e.g. Caltech (default: %(default)s)', default='DB')
-groupStandard.add_argument('--path', metavar='STRING', action='store', help='Path to the database (default: %(default)s)', default='D:\\CaltechMini')
+groupStandard.add_argument('--path', metavar='STRING', action='store', help='Path to the database (default: %(default)s)', default='../DB/Caltech')
+groupStandard.add_argument('--nbClasses', metavar='INT', action='store', help='To limit the number of classes evaluated (default: %(default)s)', default=1000)
groupStandard.add_argument('-log', action='store_true', help='Use option to activate Logging to Console')
groupStandard.add_argument('-show', action='store_true', help='Use option to show results instead of saving it')
+
groupOpt = parser.add_argument_group('Optimisation arguments')
groupOpt.add_argument('--feat', choices=['RGB', 'HSV', 'SURF', 'SIFT', 'HOG'], help='Set feature from list (RGB, HSV, ..)', default='RGB')
groupOpt.add_argument('--param', choices=['RGB_Bins', 'RGB_CI', 'HSV_H_Bins', 'HSV_S_Bins', 'HSV_V_Bins', 'SIFT_Cluster', 'SURF_Cluster', 'HOG_Cluster'], help='Parameter to optimise (remember depends on feature)', default='RGB_Bins')
@@ -70,7 +72,7 @@ groupClass = parser.add_argument_group('Classification arguments')
groupClass.add_argument('--CL_split', metavar='FLOAT', action='store', help='Determine the train size', type=float, default=0.8)
groupClass.add_argument('--CL_RF_trees', metavar='STRING', action='store', help='GridSearch: Determine the trees', default='25 75 125 175')
groupClass.add_argument('--CL_RF_CV', metavar='INT', action='store', help='Number of k-folds for CV', type=int, default=10)
-groupClass.add_argument('--CL_RF_Cores', metavar='INT', action='store', help='Number of cores', type=int, default=1)
+groupClass.add_argument('--CL_RF_Cores', metavar='INT', action='store', help='Number of cores, -1 for all', type=int, default=1)
@@ -118,10 +120,10 @@ logging.debug('### Optimisation - Feature:' + str(args.feat) + " Parameter:" + s
logging.debug("Start:\t Exportation of images from DB")
# get dictionary to link classLabels Text to Integers
-sClassLabels = DBCrawl.getClassLabels(path)
+sClassLabels = DBCrawl.getClassLabels(path, args.nbClasses)
# Get all path from all images inclusive classLabel as Integer
-dfImages,nameDB = DBCrawl.imgCrawl(path, sClassLabels, nameDB)
+dfImages,nameDB = DBCrawl.imgCrawl(path, sClassLabels, nameDB, nbClasses)
logging.debug("Done:\t Exportation of Images from DB ")
diff --git a/Code/Niko/ExportResults.py b/Code/Niko/ExportResults.py
index 72d9dda0b366a24afc334877550c3a70bdcfc50c..1fd48c778f2778172b158d38514673d571182d26 100644
--- a/Code/Niko/ExportResults.py
+++ b/Code/Niko/ExportResults.py
@@ -11,11 +11,9 @@ import pandas as pd # for Se
import numpy as np # for Numpy Arrays
import matplotlib.pyplot as plt # for Plots
from scipy.interpolate import interp1d # to Interpolate Data
-import matplotlib
-# Force matplotlib to not use any Xwindows backend.
-matplotlib.use('Agg')
from matplotlib.offsetbox import AnchoredOffsetbox, TextArea, HPacker # to generate the Annotations in plot
from pylab import rcParams # to change size of plot
+from sklearn import metrics # For stastics on classification
# Import own modules
@@ -177,4 +175,110 @@ def showResults(dir, filename, db, feat, score):
#instead of saving - decomment plt.show()
- #plt.show()
\ No newline at end of file
+ #plt.show()
+
+# Function to calculate the accuracy score for test data
+def accuracy_score(y_test, y_test_pred):
+ return str(metrics.accuracy_score(y_test, y_test_pred))
+
+# Function to calculate a report of classifiaction and store it
+def classification_report_df(dir, filename, y_test, y_test_pred, labels, target_names):
+
+ # Calculate the metrics
+ precision, recall, f1score, support = metrics.precision_recall_fscore_support(y_test, y_test_pred, beta=1.0, labels=labels, pos_label=None, average=None)
+
+ # turn result into DataFrame
+ scores_df = pd.DataFrame(data = [precision, recall, f1score, support])
+ scores_df.index = ["Precision", "Recall", "F1", "Support"]
+ scores_df.columns = target_names
+ scores_df = scores_df.transpose()
+
+ # Store result as CSV
+ exportPandasToCSV(scores_df, dir, filename)
+
+ # return the results
+ return scores_df
+
+
+# Function to calculate a report of classifiaction and store it
+def confusion_matrix_df(dir, filename, y_test, y_test_pred, target_names):
+
+ # Transform into pd Series
+ y_actu = pd.Series(y_test, name='Actual')
+ y_pred = pd.Series(y_test_pred, name='Predicted')
+
+ # Calculate confusion matrix
+ df_confusion = pd.crosstab(y_actu, y_pred, rownames=['Actual'], colnames=['Predicted'], margins=True)
+
+ # Normalization of confusion matrix
+ df_conf_norm = df_confusion / df_confusion.sum(axis=1)
+ df_conf_norm.index = target_names + ['All']
+ df_conf_norm.columns = target_names + ['All']
+
+ # Add Row: Actual / Column: Predicted into first cell [0,0]
+
+
+ # Store result as CSV
+ exportPandasToCSV(df_conf_norm, dir, filename)
+
+ return df_conf_norm
+
+def plot_confusion_matrix(dir, filename, df_confusion, title='Confusion matrix', cmap=plt.cm.gray_r):
+ plt.matshow(df_confusion, cmap=cmap) # imshow
+ #plt.title(title)
+ plt.colorbar()
+ tick_marks = np.arange(len(df_confusion.columns))
+ plt.xticks(tick_marks, df_confusion.columns, rotation=45)
+ plt.yticks(tick_marks, df_confusion.index)
+ #plt.tight_layout()
+ plt.ylabel(df_confusion.index.name)
+ plt.xlabel(df_confusion.columns.name)
+
+ if os.path.isfile(file + ".png"):
+ for i in range(1,20):
+ testFileName = filename + "-" + str(i) + ".png"
+ if os.path.isfile(dir + testFileName )!=True:
+ plt.savefig(dir + testFileName)
+ break
+
+ else:
+ plt.savefig(file)
+
+
+def classification_stats(dir,filename,scores_df):
+ # Top 10 classes by F1-Score
+ top10 = scores_df.sort(columns="F1", ascending=False).head(10).ix[:,0]
+
+ # Worst 10 classes by F1-Score
+ worst10 = scores_df.sort(columns="F1", ascending=True).head(10).ix[:,0]
+
+ # Ratio of classes with F1-Score==0 of all classes
+ ratio_zero = float(float(len(scores_df[scores_df.F1 == 0]))/float(len(scores_df)))
+
+ # Mean of F1-Score of top 10 classes by F1-Score
+ mean_10 = np.mean(scores_df.sort(columns="F1", ascending=False).head(10).F1)
+
+ # Mean of F1-Score of top 20 classes by F1-Score
+ mean_20 = np.mean(scores_df.sort(columns="F1", ascending=False).head(20).F1)
+
+ # Mean of F1-Score of top 30 classes by F1-Score
+ mean_30 = np.mean(scores_df.sort(columns="F1", ascending=False).head(30).F1)
+
+ # Create DataFrame with stats
+ d = {'Statistic' : ['Top 10 classes by F1-Score', 'Worst 10 classes by F1-Score', 'Ratio of classes with F1-Score==0 of all classes', 'Mean of F1-Score of top 10 classes by F1-Score', 'Mean of F1-Score of top 20 classes by F1-Score', 'Mean of F1-Score of top 30 classes by F1-Score'], 'Values' : [top10, worst10, ratio_zero, mean_10, mean_20, mean_30]}
+ df_stats = pd.DataFrame(d)
+
+ # Store result as CSV
+ exportPandasToCSV(df_stats, dir, filename)
+
+ # return pandas
+ return df_stats
+
+
+
+
+
+
+
+
+
diff --git a/Code/Niko/FeatExtraction.py b/Code/Niko/FeatExtraction.py
index ccc135b7c4b2a4bab2402aee2a2a6f4868dce73c..c8a6a6168279f84467c0c348eaa8bec34eeeec25 100644
--- a/Code/Niko/FeatExtraction.py
+++ b/Code/Niko/FeatExtraction.py
@@ -120,6 +120,7 @@ def calcHSVColorHisto(nameDB, dfImages, histSize_, boolNormMinMax):
norm = "Distr"
param = "Bins_" + str(histSize) + "-" + "Norm_" + norm
+ param = param.replace(" ", "")
description = nameDB + "-HSV-" + param
diff --git a/Code/Niko/FeatParaOpt.py b/Code/Niko/FeatParaOpt.py
index 138a4d04e6f6d3f6291624b1558a42128f0e662b..70bd0e58f25c7785ffa0ff5f50be6a4b93761b93 100644
--- a/Code/Niko/FeatParaOpt.py
+++ b/Code/Niko/FeatParaOpt.py
@@ -99,7 +99,7 @@ def perfFeatMonoV(nameDB, dfImages, para_opt, para_RGB, para_HSV, para_SIFT, par
elif(parameter=="HSV_V_Bins"):
v_bins = valuePara
- histSize = [h_bins, s_bins, v_bins]
+ histSize = [h_bins,s_bins,v_bins]
# Extract Feature from DB
feat_desc,f_extr_res = FeatExtraction.calcHSVColorHisto(nameDB, dfImages, histSize, boolNormMinMax)
diff --git a/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB-LOG.log b/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB-LOG.log
deleted file mode 100644
index 8ddbb1cbb3879686384e75d1244eb4c9db150265..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB-LOG.log
+++ /dev/null
@@ -1,16 +0,0 @@
-2016-03-22 16:40:43,005 DEBUG:### Main Programm for Classification MonoView
-2016-03-22 16:40:43,005 DEBUG:### Info: Database:CTMini Feature:RGB train_size:0.8, GridSearch of Trees:50 100 150 200, CrossValidation k-folds:8, cores:1
-2016-03-22 16:40:43,006 DEBUG:### Start: Read CSV Files
-2016-03-22 16:40:43,016 DEBUG:### Info: Shape of Feature:(97L, 48L), Length of classLabels vector:(97L,)
-2016-03-22 16:40:43,016 DEBUG:### Done: Read CSV Files
-2016-03-22 16:40:43,016 DEBUG:### Start: Determine Train/Test split
-2016-03-22 16:40:43,016 DEBUG:### Info: Shape X_train:(77L, 48L), Length of y_train:77
-2016-03-22 16:40:43,017 DEBUG:### Info: Shape X_test:(20L, 48L), Length of y_test:20
-2016-03-22 16:40:43,017 DEBUG:### Done: Determine Train/Test split
-2016-03-22 16:40:43,017 DEBUG:### Start: Classification
-2016-03-22 16:40:45,684 DEBUG:### Info: Time for Classification: 2.67600011826[s]
-2016-03-22 16:40:45,684 DEBUG:### End: Classification
-2016-03-22 16:40:45,684 DEBUG:### Start: Exporting to CSV
-2016-03-22 16:40:45,690 DEBUG:### Done: Exporting to CSV
-2016-03-22 16:40:45,690 DEBUG:### Start: Plot Result
-2016-03-22 16:40:45,839 DEBUG:### Done: Plot Result
diff --git a/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB.png b/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB.png
deleted file mode 100644
index 7436b1b170954eb25349e7a9b6f10cded50857e8..0000000000000000000000000000000000000000
Binary files a/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB.png and /dev/null differ
diff --git a/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-ConfMatrix.csv b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-ConfMatrix.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4007efc7be006d14a67ad3040f0d3d7b5b31456e
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-ConfMatrix.csv
@@ -0,0 +1,104 @@
+;accordion;airplanes;anchor;ant;BACKGROUND_Google;barrel;bass;beaver;binocular;bonsai;brain;brontosaurus;buddha;butterfly;camera;cannon;car_side;ceiling_fan;cellphone;chair;chandelier;cougar_body;cougar_face;crab;crayfish;crocodile;crocodile_head;cup;dalmatian;dollar_bill;dolphin;dragonfly;electric_guitar;elephant;emu;euphonium;ewer;Faces;Faces_easy;ferry;flamingo;flamingo_head;garfield;gerenuk;gramophone;grand_piano;hawksbill;headphone;hedgehog;helicopter;ibis;inline_skate;joshua_tree;kangaroo;ketch;lamp;laptop;Leopards;llama;lobster;lotus;mandolin;mayfly;menorah;metronome;minaret;Motorbikes;nautilus;octopus;okapi;pagoda;panda;pigeon;pizza;platypus;pyramid;revolver;rhino;rooster;saxophone;schooner;scissors;scorpion;sea_horse;snoopy;soccer_ball;stapler;starfish;stegosaurus;stop_sign;strawberry;sunflower;tick;trilobite;umbrella;watch;water_lilly;wheelchair;wild_cat;windsor_chair;wrench;yin_yang;All
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diff --git a/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-LOG.log b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..b49124d47639c691a6a45cf77fa2fb85007acccf
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-LOG.log
@@ -0,0 +1,136 @@
+2016-03-24 14:20:58,079 DEBUG: ### Main Programm for Classification MonoView
+2016-03-24 14:20:58,079 DEBUG: ### Classification - Database:Caltech Feature:HOG train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:-1
+2016-03-24 14:20:58,080 DEBUG: Start: Read CSV Files
+2016-03-24 14:20:58,291 DEBUG: Info: Shape of Feature:(9144, 20), Length of classLabels vector:(9144,)
+2016-03-24 14:20:58,291 DEBUG: Done: Read CSV Files
+2016-03-24 14:20:58,291 DEBUG: Start: Determine Train/Test split
+2016-03-24 14:20:58,293 DEBUG: Info: Shape X_train:(7315, 20), Length of y_train:7315
+2016-03-24 14:20:58,293 DEBUG: Info: Shape X_test:(1829, 20), Length of y_test:1829
+2016-03-24 14:20:58,293 DEBUG: Done: Determine Train/Test split
+2016-03-24 14:20:58,293 DEBUG: Start: Classification
+2016-03-24 14:21:29,958 DEBUG: Info: Time for Classification: 31.8721821308[s]
+2016-03-24 14:21:29,958 DEBUG: Done: Classification
+2016-03-24 14:21:29,958 DEBUG: Start: Exporting to CSV
+2016-03-24 14:21:29,960 DEBUG: Done: Exporting to CSV
+2016-03-24 14:21:30,515 DEBUG: Start: Statistic Results
+2016-03-24 14:21:30,516 DEBUG: Info: Accuracy classification score:0.375068343357
+2016-03-24 14:21:30,516 DEBUG: Info: Classification report:
+2016-03-24 14:21:30,520 DEBUG:
+ precision recall f1-score support
+
+ accordion 0.86 0.92 0.89 13
+ airplanes 0.67 0.95 0.79 150
+ anchor 0.00 0.00 0.00 9
+ ant 0.00 0.00 0.00 11
+BACKGROUND_Google 0.18 0.37 0.25 91
+ barrel 0.00 0.00 0.00 13
+ bass 0.00 0.00 0.00 17
+ beaver 0.50 0.10 0.17 10
+ binocular 0.00 0.00 0.00 6
+ bonsai 0.19 0.27 0.22 30
+ brain 0.22 0.29 0.25 21
+ brontosaurus 0.00 0.00 0.00 8
+ buddha 0.10 0.06 0.07 17
+ butterfly 0.11 0.11 0.11 18
+ camera 0.43 0.33 0.38 9
+ cannon 0.00 0.00 0.00 9
+ car_side 0.59 0.94 0.72 18
+ ceiling_fan 0.00 0.00 0.00 7
+ cellphone 0.67 0.67 0.67 9
+ chair 0.00 0.00 0.00 13
+ chandelier 0.22 0.10 0.14 20
+ cougar_body 0.00 0.00 0.00 11
+ cougar_face 0.11 0.07 0.09 14
+ crab 0.22 0.12 0.15 17
+ crayfish 0.14 0.08 0.10 13
+ crocodile 0.09 0.22 0.13 9
+ crocodile_head 0.09 0.10 0.10 10
+ cup 0.00 0.00 0.00 4
+ dalmatian 0.00 0.00 0.00 12
+ dollar_bill 0.33 0.20 0.25 10
+ dolphin 0.67 0.17 0.27 12
+ dragonfly 0.17 0.25 0.20 8
+ electric_guitar 0.00 0.00 0.00 15
+ elephant 0.00 0.00 0.00 9
+ emu 0.00 0.00 0.00 12
+ euphonium 0.50 0.08 0.14 12
+ ewer 0.14 0.13 0.14 15
+ Faces 0.36 0.69 0.47 74
+ Faces_easy 0.38 0.78 0.52 96
+ ferry 0.44 0.25 0.32 16
+ flamingo 0.00 0.00 0.00 12
+ flamingo_head 0.67 0.25 0.36 8
+ garfield 0.20 0.20 0.20 5
+ gerenuk 0.12 0.17 0.14 6
+ gramophone 0.00 0.00 0.00 11
+ grand_piano 0.67 0.26 0.38 23
+ hawksbill 0.16 0.41 0.23 17
+ headphone 0.33 0.08 0.13 12
+ hedgehog 0.12 0.08 0.10 12
+ helicopter 0.10 0.07 0.08 15
+ ibis 0.00 0.00 0.00 15
+ inline_skate 0.00 0.00 0.00 5
+ joshua_tree 0.23 0.27 0.25 11
+ kangaroo 0.38 0.24 0.29 21
+ ketch 0.32 0.26 0.29 23
+ lamp 0.00 0.00 0.00 7
+ laptop 0.62 0.28 0.38 18
+ Leopards 0.35 0.65 0.46 40
+ llama 0.05 0.08 0.06 13
+ lobster 0.00 0.00 0.00 11
+ lotus 0.33 0.11 0.17 18
+ mandolin 0.00 0.00 0.00 13
+ mayfly 0.50 0.12 0.20 8
+ menorah 0.33 0.06 0.10 17
+ metronome 0.00 0.00 0.00 5
+ minaret 0.77 0.89 0.83 19
+ Motorbikes 0.57 0.96 0.72 165
+ nautilus 0.00 0.00 0.00 14
+ octopus 1.00 0.11 0.20 9
+ okapi 0.00 0.00 0.00 5
+ pagoda 0.43 0.67 0.52 9
+ panda 0.00 0.00 0.00 11
+ pigeon 0.00 0.00 0.00 8
+ pizza 0.25 0.12 0.17 16
+ platypus 0.00 0.00 0.00 6
+ pyramid 0.00 0.00 0.00 10
+ revolver 0.60 0.19 0.29 16
+ rhino 0.00 0.00 0.00 12
+ rooster 1.00 0.10 0.18 10
+ saxophone 0.00 0.00 0.00 9
+ schooner 0.00 0.00 0.00 7
+ scissors 0.75 0.33 0.46 9
+ scorpion 0.00 0.00 0.00 17
+ sea_horse 0.00 0.00 0.00 8
+ snoopy 1.00 0.11 0.20 9
+ soccer_ball 0.22 0.14 0.17 14
+ stapler 0.00 0.00 0.00 10
+ starfish 0.11 0.12 0.12 16
+ stegosaurus 0.00 0.00 0.00 13
+ stop_sign 0.33 0.08 0.12 13
+ strawberry 0.00 0.00 0.00 5
+ sunflower 0.10 0.06 0.07 17
+ tick 0.00 0.00 0.00 8
+ trilobite 0.57 0.72 0.63 18
+ umbrella 0.38 0.16 0.22 19
+ watch 0.25 0.29 0.27 58
+ water_lilly 0.00 0.00 0.00 4
+ wheelchair 0.00 0.00 0.00 16
+ wild_cat 0.00 0.00 0.00 10
+ windsor_chair 0.00 0.00 0.00 11
+ wrench 0.50 0.25 0.33 4
+ yin_yang 0.38 0.30 0.33 10
+
+ avg / total 0.31 0.38 0.31 1829
+
+2016-03-24 14:21:30,528 DEBUG: Info: Confusion matrix:
+2016-03-24 14:21:30,620 DEBUG:
+[[0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ ...,
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]]
+2016-03-24 14:21:30,620 DEBUG: Done: Statistic Results
+2016-03-24 14:21:30,621 DEBUG: Start: Plot Result
diff --git a/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-Report.csv b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-Report.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1cc1b99344500609ee4bb9c44c18fc0c8c96d166
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG-Report.csv
@@ -0,0 +1,103 @@
+;Precision;Recall;F1;Support
+accordion;0.857142857143;0.923076923077;0.888888888889;13.0
+airplanes;0.672985781991;0.946666666667;0.786703601108;150.0
+anchor;0.0;0.0;0.0;9.0
+ant;0.0;0.0;0.0;11.0
+BACKGROUND_Google;0.182795698925;0.373626373626;0.245487364621;91.0
+barrel;0.0;0.0;0.0;13.0
+bass;0.0;0.0;0.0;17.0
+beaver;0.5;0.1;0.166666666667;10.0
+binocular;0.0;0.0;0.0;6.0
+bonsai;0.190476190476;0.266666666667;0.222222222222;30.0
+brain;0.222222222222;0.285714285714;0.25;21.0
+brontosaurus;0.0;0.0;0.0;8.0
+buddha;0.1;0.0588235294118;0.0740740740741;17.0
+butterfly;0.111111111111;0.111111111111;0.111111111111;18.0
+camera;0.428571428571;0.333333333333;0.375;9.0
+cannon;0.0;0.0;0.0;9.0
+car_side;0.586206896552;0.944444444444;0.723404255319;18.0
+ceiling_fan;0.0;0.0;0.0;7.0
+cellphone;0.666666666667;0.666666666667;0.666666666667;9.0
+chair;0.0;0.0;0.0;13.0
+chandelier;0.222222222222;0.1;0.137931034483;20.0
+cougar_body;0.0;0.0;0.0;11.0
+cougar_face;0.111111111111;0.0714285714286;0.0869565217391;14.0
+crab;0.222222222222;0.117647058824;0.153846153846;17.0
+crayfish;0.142857142857;0.0769230769231;0.1;13.0
+crocodile;0.0909090909091;0.222222222222;0.129032258065;9.0
+crocodile_head;0.0909090909091;0.1;0.0952380952381;10.0
+cup;0.0;0.0;0.0;4.0
+dalmatian;0.0;0.0;0.0;12.0
+dollar_bill;0.333333333333;0.2;0.25;10.0
+dolphin;0.666666666667;0.166666666667;0.266666666667;12.0
+dragonfly;0.166666666667;0.25;0.2;8.0
+electric_guitar;0.0;0.0;0.0;15.0
+elephant;0.0;0.0;0.0;9.0
+emu;0.0;0.0;0.0;12.0
+euphonium;0.5;0.0833333333333;0.142857142857;12.0
+ewer;0.142857142857;0.133333333333;0.137931034483;15.0
+Faces;0.359154929577;0.689189189189;0.472222222222;74.0
+Faces_easy;0.384615384615;0.78125;0.515463917526;96.0
+ferry;0.444444444444;0.25;0.32;16.0
+flamingo;0.0;0.0;0.0;12.0
+flamingo_head;0.666666666667;0.25;0.363636363636;8.0
+garfield;0.2;0.2;0.2;5.0
+gerenuk;0.125;0.166666666667;0.142857142857;6.0
+gramophone;0.0;0.0;0.0;11.0
+grand_piano;0.666666666667;0.260869565217;0.375;23.0
+hawksbill;0.162790697674;0.411764705882;0.233333333333;17.0
+headphone;0.333333333333;0.0833333333333;0.133333333333;12.0
+hedgehog;0.125;0.0833333333333;0.1;12.0
+helicopter;0.1;0.0666666666667;0.08;15.0
+ibis;0.0;0.0;0.0;15.0
+inline_skate;0.0;0.0;0.0;5.0
+joshua_tree;0.230769230769;0.272727272727;0.25;11.0
+kangaroo;0.384615384615;0.238095238095;0.294117647059;21.0
+ketch;0.315789473684;0.260869565217;0.285714285714;23.0
+lamp;0.0;0.0;0.0;7.0
+laptop;0.625;0.277777777778;0.384615384615;18.0
+Leopards;0.351351351351;0.65;0.456140350877;40.0
+llama;0.05;0.0769230769231;0.0606060606061;13.0
+lobster;0.0;0.0;0.0;11.0
+lotus;0.333333333333;0.111111111111;0.166666666667;18.0
+mandolin;0.0;0.0;0.0;13.0
+mayfly;0.5;0.125;0.2;8.0
+menorah;0.333333333333;0.0588235294118;0.1;17.0
+metronome;0.0;0.0;0.0;5.0
+minaret;0.772727272727;0.894736842105;0.829268292683;19.0
+Motorbikes;0.574007220217;0.963636363636;0.719457013575;165.0
+nautilus;0.0;0.0;0.0;14.0
+octopus;1.0;0.111111111111;0.2;9.0
+okapi;0.0;0.0;0.0;5.0
+pagoda;0.428571428571;0.666666666667;0.521739130435;9.0
+panda;0.0;0.0;0.0;11.0
+pigeon;0.0;0.0;0.0;8.0
+pizza;0.25;0.125;0.166666666667;16.0
+platypus;0.0;0.0;0.0;6.0
+pyramid;0.0;0.0;0.0;10.0
+revolver;0.6;0.1875;0.285714285714;16.0
+rhino;0.0;0.0;0.0;12.0
+rooster;1.0;0.1;0.181818181818;10.0
+saxophone;0.0;0.0;0.0;9.0
+schooner;0.0;0.0;0.0;7.0
+scissors;0.75;0.333333333333;0.461538461538;9.0
+scorpion;0.0;0.0;0.0;17.0
+sea_horse;0.0;0.0;0.0;8.0
+snoopy;1.0;0.111111111111;0.2;9.0
+soccer_ball;0.222222222222;0.142857142857;0.173913043478;14.0
+stapler;0.0;0.0;0.0;10.0
+starfish;0.111111111111;0.125;0.117647058824;16.0
+stegosaurus;0.0;0.0;0.0;13.0
+stop_sign;0.333333333333;0.0769230769231;0.125;13.0
+strawberry;0.0;0.0;0.0;5.0
+sunflower;0.1;0.0588235294118;0.0740740740741;17.0
+tick;0.0;0.0;0.0;8.0
+trilobite;0.565217391304;0.722222222222;0.634146341463;18.0
+umbrella;0.375;0.157894736842;0.222222222222;19.0
+watch;0.25;0.293103448276;0.269841269841;58.0
+water_lilly;0.0;0.0;0.0;4.0
+wheelchair;0.0;0.0;0.0;16.0
+wild_cat;0.0;0.0;0.0;10.0
+windsor_chair;0.0;0.0;0.0;11.0
+wrench;0.5;0.25;0.333333333333;4.0
+yin_yang;0.375;0.3;0.333333333333;10.0
diff --git a/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB.csv b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG.csv
similarity index 58%
rename from Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB.csv
rename to Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG.csv
index 2372e9cc8d8dc26c835aa4caeb6527d7acc809cc..0d71912330ade0a3044fd8199ad887ac235c3718 100644
--- a/Code/Niko/Results-ClassMonoView/2016_03_22-CMV-CTMini-RGB.csv
+++ b/Code/Niko/Results-ClassMonoView/HOG-Cluster_20/2016_03_24-CMV-Caltech-HOG.csv
@@ -1,12 +1,11 @@
;a_class_time;b_cl_desc;c_cl_res;d_cl_score
-0;2.67600011826;Classif_RF-CV_8-Trees_50;"GridSearchCV(cv=8, error_score='raise',
+0;31.8721821308;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features='auto', max_leaf_nodes=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
oob_score=False, random_state=None, verbose=0,
warm_start=False))]),
- fit_params={}, iid=True, loss_func=None, n_jobs=1,
- param_grid={'classifier__n_estimators': [50, 100, 150, 200]},
- pre_dispatch='2*n_jobs', refit=True, score_func=None,
- scoring='accuracy', verbose=0)";0.948051948052
+ fit_params={}, iid=True, n_jobs=-1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";0.380724538619
diff --git a/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-ConfMatrix.csv b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-ConfMatrix.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e847cb4d8fc5a82d02cc40cfd2f7f02a2eced44f
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-ConfMatrix.csv
@@ -0,0 +1,104 @@
+;accordion;airplanes;anchor;ant;BACKGROUND_Google;barrel;bass;beaver;binocular;bonsai;brain;brontosaurus;buddha;butterfly;camera;cannon;car_side;ceiling_fan;cellphone;chair;chandelier;cougar_body;cougar_face;crab;crayfish;crocodile;crocodile_head;cup;dalmatian;dollar_bill;dolphin;dragonfly;electric_guitar;elephant;emu;euphonium;ewer;Faces;Faces_easy;ferry;flamingo;flamingo_head;garfield;gerenuk;gramophone;grand_piano;hawksbill;headphone;hedgehog;helicopter;ibis;inline_skate;joshua_tree;kangaroo;ketch;lamp;laptop;Leopards;llama;lobster;lotus;mandolin;mayfly;menorah;metronome;minaret;Motorbikes;nautilus;octopus;okapi;pagoda;panda;pigeon;pizza;platypus;pyramid;revolver;rhino;rooster;saxophone;schooner;scissors;scorpion;sea_horse;snoopy;soccer_ball;stapler;starfish;stegosaurus;stop_sign;strawberry;sunflower;tick;trilobite;umbrella;watch;water_lilly;wheelchair;wild_cat;windsor_chair;wrench;yin_yang;All
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diff --git a/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-LOG.log b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..f131848ab72fab32c90148265fff266a3dcd084c
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-LOG.log
@@ -0,0 +1,136 @@
+2016-03-24 14:10:57,425 DEBUG: ### Main Programm for Classification MonoView
+2016-03-24 14:10:57,425 DEBUG: ### Classification - Database:Caltech Feature:RGB train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:-1
+2016-03-24 14:10:57,425 DEBUG: Start: Read CSV Files
+2016-03-24 14:10:57,973 DEBUG: Info: Shape of Feature:(9144, 48), Length of classLabels vector:(9144,)
+2016-03-24 14:10:57,973 DEBUG: Done: Read CSV Files
+2016-03-24 14:10:57,973 DEBUG: Start: Determine Train/Test split
+2016-03-24 14:10:57,976 DEBUG: Info: Shape X_train:(7315, 48), Length of y_train:7315
+2016-03-24 14:10:57,977 DEBUG: Info: Shape X_test:(1829, 48), Length of y_test:1829
+2016-03-24 14:10:57,977 DEBUG: Done: Determine Train/Test split
+2016-03-24 14:10:57,977 DEBUG: Start: Classification
+2016-03-24 14:11:44,909 DEBUG: Info: Time for Classification: 47.4799399376[s]
+2016-03-24 14:11:44,909 DEBUG: Done: Classification
+2016-03-24 14:11:44,909 DEBUG: Start: Exporting to CSV
+2016-03-24 14:11:44,911 DEBUG: Done: Exporting to CSV
+2016-03-24 14:11:45,358 DEBUG: Start: Statistic Results
+2016-03-24 14:11:45,359 DEBUG: Info: Accuracy classification score:0.354291962821
+2016-03-24 14:11:45,359 DEBUG: Info: Classification report:
+2016-03-24 14:11:45,361 DEBUG:
+ precision recall f1-score support
+
+ accordion 0.18 0.27 0.22 15
+ airplanes 0.46 0.93 0.62 160
+ anchor 0.00 0.00 0.00 6
+ ant 0.00 0.00 0.00 9
+BACKGROUND_Google 0.15 0.29 0.20 102
+ barrel 0.00 0.00 0.00 9
+ bass 0.50 0.10 0.17 10
+ beaver 0.00 0.00 0.00 9
+ binocular 0.00 0.00 0.00 9
+ bonsai 0.31 0.20 0.24 20
+ brain 0.48 0.43 0.45 23
+ brontosaurus 0.00 0.00 0.00 8
+ buddha 0.60 0.19 0.29 16
+ butterfly 0.00 0.00 0.00 13
+ camera 0.00 0.00 0.00 7
+ cannon 0.00 0.00 0.00 8
+ car_side 0.36 0.69 0.47 26
+ ceiling_fan 0.50 0.12 0.20 8
+ cellphone 0.00 0.00 0.00 10
+ chair 0.50 0.17 0.25 6
+ chandelier 0.00 0.00 0.00 19
+ cougar_body 0.00 0.00 0.00 11
+ cougar_face 0.00 0.00 0.00 16
+ crab 0.20 0.07 0.10 15
+ crayfish 0.33 0.06 0.11 16
+ crocodile 0.00 0.00 0.00 11
+ crocodile_head 0.00 0.00 0.00 7
+ cup 0.00 0.00 0.00 11
+ dalmatian 0.50 0.07 0.12 15
+ dollar_bill 0.29 0.50 0.36 4
+ dolphin 0.00 0.00 0.00 12
+ dragonfly 0.00 0.00 0.00 11
+ electric_guitar 0.00 0.00 0.00 20
+ elephant 0.00 0.00 0.00 11
+ emu 0.00 0.00 0.00 12
+ euphonium 0.67 0.24 0.35 17
+ ewer 0.00 0.00 0.00 14
+ Faces 0.27 0.61 0.37 95
+ Faces_easy 0.34 0.74 0.47 81
+ ferry 1.00 0.06 0.11 17
+ flamingo 0.25 0.06 0.10 16
+ flamingo_head 0.00 0.00 0.00 7
+ garfield 0.60 0.38 0.46 8
+ gerenuk 0.20 0.11 0.14 9
+ gramophone 1.00 0.09 0.17 11
+ grand_piano 0.36 0.38 0.37 21
+ hawksbill 0.30 0.26 0.28 23
+ headphone 0.00 0.00 0.00 14
+ hedgehog 0.00 0.00 0.00 8
+ helicopter 0.25 0.05 0.08 21
+ ibis 0.12 0.06 0.08 16
+ inline_skate 1.00 0.33 0.50 9
+ joshua_tree 0.20 0.09 0.13 11
+ kangaroo 0.06 0.08 0.07 13
+ ketch 0.31 0.21 0.25 24
+ lamp 0.00 0.00 0.00 12
+ laptop 0.00 0.00 0.00 17
+ Leopards 0.69 1.00 0.82 38
+ llama 1.00 0.07 0.13 14
+ lobster 0.00 0.00 0.00 9
+ lotus 0.40 0.18 0.25 11
+ mandolin 0.00 0.00 0.00 10
+ mayfly 0.25 0.20 0.22 5
+ menorah 0.12 0.08 0.10 12
+ metronome 0.50 0.17 0.25 6
+ minaret 0.41 0.58 0.48 12
+ Motorbikes 0.50 0.92 0.64 163
+ nautilus 0.00 0.00 0.00 11
+ octopus 1.00 0.25 0.40 12
+ okapi 0.00 0.00 0.00 4
+ pagoda 0.50 0.20 0.29 15
+ panda 0.00 0.00 0.00 5
+ pigeon 0.00 0.00 0.00 11
+ pizza 0.17 0.11 0.13 9
+ platypus 1.00 0.33 0.50 3
+ pyramid 0.33 0.06 0.11 16
+ revolver 0.00 0.00 0.00 12
+ rhino 0.33 0.07 0.11 15
+ rooster 0.00 0.00 0.00 9
+ saxophone 0.20 0.14 0.17 7
+ schooner 0.00 0.00 0.00 12
+ scissors 0.00 0.00 0.00 7
+ scorpion 0.29 0.10 0.15 20
+ sea_horse 0.00 0.00 0.00 12
+ snoopy 0.50 0.20 0.29 5
+ soccer_ball 0.67 0.13 0.22 15
+ stapler 0.00 0.00 0.00 4
+ starfish 0.27 0.25 0.26 16
+ stegosaurus 0.75 0.18 0.29 17
+ stop_sign 0.86 0.46 0.60 13
+ strawberry 1.00 0.22 0.36 9
+ sunflower 0.52 0.46 0.49 24
+ tick 0.50 0.10 0.17 10
+ trilobite 0.45 0.53 0.49 19
+ umbrella 0.00 0.00 0.00 7
+ watch 0.22 0.18 0.20 45
+ water_lilly 0.00 0.00 0.00 7
+ wheelchair 0.00 0.00 0.00 13
+ wild_cat 0.00 0.00 0.00 7
+ windsor_chair 0.50 0.17 0.25 12
+ wrench 0.75 0.30 0.43 10
+ yin_yang 0.12 0.14 0.13 7
+
+ avg / total 0.32 0.35 0.28 1829
+
+2016-03-24 14:11:45,366 DEBUG: Info: Confusion matrix:
+2016-03-24 14:11:45,419 DEBUG:
+[[0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ ...,
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]]
+2016-03-24 14:11:45,419 DEBUG: Done: Statistic Results
+2016-03-24 14:11:45,419 DEBUG: Start: Plot Result
diff --git a/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-Report.csv b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-Report.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52a23edfd40beaf3950586a37bb9ef328d547255
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB-Report.csv
@@ -0,0 +1,103 @@
+;Precision;Recall;F1;Support
+accordion;0.181818181818;0.266666666667;0.216216216216;15.0
+airplanes;0.4625;0.925;0.616666666667;160.0
+anchor;0.0;0.0;0.0;6.0
+ant;0.0;0.0;0.0;9.0
+BACKGROUND_Google;0.150753768844;0.294117647059;0.199335548173;102.0
+barrel;0.0;0.0;0.0;9.0
+bass;0.5;0.1;0.166666666667;10.0
+beaver;0.0;0.0;0.0;9.0
+binocular;0.0;0.0;0.0;9.0
+bonsai;0.307692307692;0.2;0.242424242424;20.0
+brain;0.47619047619;0.434782608696;0.454545454545;23.0
+brontosaurus;0.0;0.0;0.0;8.0
+buddha;0.6;0.1875;0.285714285714;16.0
+butterfly;0.0;0.0;0.0;13.0
+camera;0.0;0.0;0.0;7.0
+cannon;0.0;0.0;0.0;8.0
+car_side;0.36;0.692307692308;0.473684210526;26.0
+ceiling_fan;0.5;0.125;0.2;8.0
+cellphone;0.0;0.0;0.0;10.0
+chair;0.5;0.166666666667;0.25;6.0
+chandelier;0.0;0.0;0.0;19.0
+cougar_body;0.0;0.0;0.0;11.0
+cougar_face;0.0;0.0;0.0;16.0
+crab;0.2;0.0666666666667;0.1;15.0
+crayfish;0.333333333333;0.0625;0.105263157895;16.0
+crocodile;0.0;0.0;0.0;11.0
+crocodile_head;0.0;0.0;0.0;7.0
+cup;0.0;0.0;0.0;11.0
+dalmatian;0.5;0.0666666666667;0.117647058824;15.0
+dollar_bill;0.285714285714;0.5;0.363636363636;4.0
+dolphin;0.0;0.0;0.0;12.0
+dragonfly;0.0;0.0;0.0;11.0
+electric_guitar;0.0;0.0;0.0;20.0
+elephant;0.0;0.0;0.0;11.0
+emu;0.0;0.0;0.0;12.0
+euphonium;0.666666666667;0.235294117647;0.347826086957;17.0
+ewer;0.0;0.0;0.0;14.0
+Faces;0.267281105991;0.610526315789;0.371794871795;95.0
+Faces_easy;0.340909090909;0.740740740741;0.466926070039;81.0
+ferry;1.0;0.0588235294118;0.111111111111;17.0
+flamingo;0.25;0.0625;0.1;16.0
+flamingo_head;0.0;0.0;0.0;7.0
+garfield;0.6;0.375;0.461538461538;8.0
+gerenuk;0.2;0.111111111111;0.142857142857;9.0
+gramophone;1.0;0.0909090909091;0.166666666667;11.0
+grand_piano;0.363636363636;0.380952380952;0.372093023256;21.0
+hawksbill;0.3;0.260869565217;0.279069767442;23.0
+headphone;0.0;0.0;0.0;14.0
+hedgehog;0.0;0.0;0.0;8.0
+helicopter;0.25;0.047619047619;0.08;21.0
+ibis;0.125;0.0625;0.0833333333333;16.0
+inline_skate;1.0;0.333333333333;0.5;9.0
+joshua_tree;0.2;0.0909090909091;0.125;11.0
+kangaroo;0.0588235294118;0.0769230769231;0.0666666666667;13.0
+ketch;0.3125;0.208333333333;0.25;24.0
+lamp;0.0;0.0;0.0;12.0
+laptop;0.0;0.0;0.0;17.0
+Leopards;0.690909090909;1.0;0.817204301075;38.0
+llama;1.0;0.0714285714286;0.133333333333;14.0
+lobster;0.0;0.0;0.0;9.0
+lotus;0.4;0.181818181818;0.25;11.0
+mandolin;0.0;0.0;0.0;10.0
+mayfly;0.25;0.2;0.222222222222;5.0
+menorah;0.125;0.0833333333333;0.1;12.0
+metronome;0.5;0.166666666667;0.25;6.0
+minaret;0.411764705882;0.583333333333;0.48275862069;12.0
+Motorbikes;0.49504950495;0.920245398773;0.643776824034;163.0
+nautilus;0.0;0.0;0.0;11.0
+octopus;1.0;0.25;0.4;12.0
+okapi;0.0;0.0;0.0;4.0
+pagoda;0.5;0.2;0.285714285714;15.0
+panda;0.0;0.0;0.0;5.0
+pigeon;0.0;0.0;0.0;11.0
+pizza;0.166666666667;0.111111111111;0.133333333333;9.0
+platypus;1.0;0.333333333333;0.5;3.0
+pyramid;0.333333333333;0.0625;0.105263157895;16.0
+revolver;0.0;0.0;0.0;12.0
+rhino;0.333333333333;0.0666666666667;0.111111111111;15.0
+rooster;0.0;0.0;0.0;9.0
+saxophone;0.2;0.142857142857;0.166666666667;7.0
+schooner;0.0;0.0;0.0;12.0
+scissors;0.0;0.0;0.0;7.0
+scorpion;0.285714285714;0.1;0.148148148148;20.0
+sea_horse;0.0;0.0;0.0;12.0
+snoopy;0.5;0.2;0.285714285714;5.0
+soccer_ball;0.666666666667;0.133333333333;0.222222222222;15.0
+stapler;0.0;0.0;0.0;4.0
+starfish;0.266666666667;0.25;0.258064516129;16.0
+stegosaurus;0.75;0.176470588235;0.285714285714;17.0
+stop_sign;0.857142857143;0.461538461538;0.6;13.0
+strawberry;1.0;0.222222222222;0.363636363636;9.0
+sunflower;0.52380952381;0.458333333333;0.488888888889;24.0
+tick;0.5;0.1;0.166666666667;10.0
+trilobite;0.454545454545;0.526315789474;0.487804878049;19.0
+umbrella;0.0;0.0;0.0;7.0
+watch;0.216216216216;0.177777777778;0.19512195122;45.0
+water_lilly;0.0;0.0;0.0;7.0
+wheelchair;0.0;0.0;0.0;13.0
+wild_cat;0.0;0.0;0.0;7.0
+windsor_chair;0.5;0.166666666667;0.25;12.0
+wrench;0.75;0.3;0.428571428571;10.0
+yin_yang;0.125;0.142857142857;0.133333333333;7.0
diff --git a/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB.csv b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB.csv
new file mode 100644
index 0000000000000000000000000000000000000000..86702e7feb53a9228ddfa121f557d6d5f037e0bb
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/HSV-Bins_[16,16,16]/2016_03_24-CMV-Caltech-RGB.csv
@@ -0,0 +1,11 @@
+;a_class_time;b_cl_desc;c_cl_res;d_cl_score
+0;47.4799399376;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=-1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";0.341216678059
diff --git a/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-ConfMatrix.csv b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-ConfMatrix.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e847cb4d8fc5a82d02cc40cfd2f7f02a2eced44f
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-ConfMatrix.csv
@@ -0,0 +1,104 @@
+;accordion;airplanes;anchor;ant;BACKGROUND_Google;barrel;bass;beaver;binocular;bonsai;brain;brontosaurus;buddha;butterfly;camera;cannon;car_side;ceiling_fan;cellphone;chair;chandelier;cougar_body;cougar_face;crab;crayfish;crocodile;crocodile_head;cup;dalmatian;dollar_bill;dolphin;dragonfly;electric_guitar;elephant;emu;euphonium;ewer;Faces;Faces_easy;ferry;flamingo;flamingo_head;garfield;gerenuk;gramophone;grand_piano;hawksbill;headphone;hedgehog;helicopter;ibis;inline_skate;joshua_tree;kangaroo;ketch;lamp;laptop;Leopards;llama;lobster;lotus;mandolin;mayfly;menorah;metronome;minaret;Motorbikes;nautilus;octopus;okapi;pagoda;panda;pigeon;pizza;platypus;pyramid;revolver;rhino;rooster;saxophone;schooner;scissors;scorpion;sea_horse;snoopy;soccer_ball;stapler;starfish;stegosaurus;stop_sign;strawberry;sunflower;tick;trilobite;umbrella;watch;water_lilly;wheelchair;wild_cat;windsor_chair;wrench;yin_yang;All
+accordion;0.133333333333;0.0;0.0;0.0;0.0196078431373;0.0;0.0;0.0;;0.025;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0454545454545;0.0;0.0;0.0;0.0;0.0;0.0;0.0123456790123;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.00306748466258;0.0454545454545;0.0;0.0;0.0;0.0;;0.0555555555556;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;;0.0;0.0;0.0;0.0;0.00410060142154
+airplanes;0.0;0.4625;0.0;0.0;0.00490196078431;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0714285714286;0.0;0.0384615384615;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.00617283950617;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.03125;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0153374233129;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;;0.0;0.0;0.0;0.0;0.0437397484964
+anchor;0.0;0.0;0.0;0.0;0.00980392156863;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.00526315789474;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.03125;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.00613496932515;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;;0.0;0.0;0.0;0.0;0.00164024056862
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diff --git a/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-LOG.log b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..f131848ab72fab32c90148265fff266a3dcd084c
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-LOG.log
@@ -0,0 +1,136 @@
+2016-03-24 14:10:57,425 DEBUG: ### Main Programm for Classification MonoView
+2016-03-24 14:10:57,425 DEBUG: ### Classification - Database:Caltech Feature:RGB train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:-1
+2016-03-24 14:10:57,425 DEBUG: Start: Read CSV Files
+2016-03-24 14:10:57,973 DEBUG: Info: Shape of Feature:(9144, 48), Length of classLabels vector:(9144,)
+2016-03-24 14:10:57,973 DEBUG: Done: Read CSV Files
+2016-03-24 14:10:57,973 DEBUG: Start: Determine Train/Test split
+2016-03-24 14:10:57,976 DEBUG: Info: Shape X_train:(7315, 48), Length of y_train:7315
+2016-03-24 14:10:57,977 DEBUG: Info: Shape X_test:(1829, 48), Length of y_test:1829
+2016-03-24 14:10:57,977 DEBUG: Done: Determine Train/Test split
+2016-03-24 14:10:57,977 DEBUG: Start: Classification
+2016-03-24 14:11:44,909 DEBUG: Info: Time for Classification: 47.4799399376[s]
+2016-03-24 14:11:44,909 DEBUG: Done: Classification
+2016-03-24 14:11:44,909 DEBUG: Start: Exporting to CSV
+2016-03-24 14:11:44,911 DEBUG: Done: Exporting to CSV
+2016-03-24 14:11:45,358 DEBUG: Start: Statistic Results
+2016-03-24 14:11:45,359 DEBUG: Info: Accuracy classification score:0.354291962821
+2016-03-24 14:11:45,359 DEBUG: Info: Classification report:
+2016-03-24 14:11:45,361 DEBUG:
+ precision recall f1-score support
+
+ accordion 0.18 0.27 0.22 15
+ airplanes 0.46 0.93 0.62 160
+ anchor 0.00 0.00 0.00 6
+ ant 0.00 0.00 0.00 9
+BACKGROUND_Google 0.15 0.29 0.20 102
+ barrel 0.00 0.00 0.00 9
+ bass 0.50 0.10 0.17 10
+ beaver 0.00 0.00 0.00 9
+ binocular 0.00 0.00 0.00 9
+ bonsai 0.31 0.20 0.24 20
+ brain 0.48 0.43 0.45 23
+ brontosaurus 0.00 0.00 0.00 8
+ buddha 0.60 0.19 0.29 16
+ butterfly 0.00 0.00 0.00 13
+ camera 0.00 0.00 0.00 7
+ cannon 0.00 0.00 0.00 8
+ car_side 0.36 0.69 0.47 26
+ ceiling_fan 0.50 0.12 0.20 8
+ cellphone 0.00 0.00 0.00 10
+ chair 0.50 0.17 0.25 6
+ chandelier 0.00 0.00 0.00 19
+ cougar_body 0.00 0.00 0.00 11
+ cougar_face 0.00 0.00 0.00 16
+ crab 0.20 0.07 0.10 15
+ crayfish 0.33 0.06 0.11 16
+ crocodile 0.00 0.00 0.00 11
+ crocodile_head 0.00 0.00 0.00 7
+ cup 0.00 0.00 0.00 11
+ dalmatian 0.50 0.07 0.12 15
+ dollar_bill 0.29 0.50 0.36 4
+ dolphin 0.00 0.00 0.00 12
+ dragonfly 0.00 0.00 0.00 11
+ electric_guitar 0.00 0.00 0.00 20
+ elephant 0.00 0.00 0.00 11
+ emu 0.00 0.00 0.00 12
+ euphonium 0.67 0.24 0.35 17
+ ewer 0.00 0.00 0.00 14
+ Faces 0.27 0.61 0.37 95
+ Faces_easy 0.34 0.74 0.47 81
+ ferry 1.00 0.06 0.11 17
+ flamingo 0.25 0.06 0.10 16
+ flamingo_head 0.00 0.00 0.00 7
+ garfield 0.60 0.38 0.46 8
+ gerenuk 0.20 0.11 0.14 9
+ gramophone 1.00 0.09 0.17 11
+ grand_piano 0.36 0.38 0.37 21
+ hawksbill 0.30 0.26 0.28 23
+ headphone 0.00 0.00 0.00 14
+ hedgehog 0.00 0.00 0.00 8
+ helicopter 0.25 0.05 0.08 21
+ ibis 0.12 0.06 0.08 16
+ inline_skate 1.00 0.33 0.50 9
+ joshua_tree 0.20 0.09 0.13 11
+ kangaroo 0.06 0.08 0.07 13
+ ketch 0.31 0.21 0.25 24
+ lamp 0.00 0.00 0.00 12
+ laptop 0.00 0.00 0.00 17
+ Leopards 0.69 1.00 0.82 38
+ llama 1.00 0.07 0.13 14
+ lobster 0.00 0.00 0.00 9
+ lotus 0.40 0.18 0.25 11
+ mandolin 0.00 0.00 0.00 10
+ mayfly 0.25 0.20 0.22 5
+ menorah 0.12 0.08 0.10 12
+ metronome 0.50 0.17 0.25 6
+ minaret 0.41 0.58 0.48 12
+ Motorbikes 0.50 0.92 0.64 163
+ nautilus 0.00 0.00 0.00 11
+ octopus 1.00 0.25 0.40 12
+ okapi 0.00 0.00 0.00 4
+ pagoda 0.50 0.20 0.29 15
+ panda 0.00 0.00 0.00 5
+ pigeon 0.00 0.00 0.00 11
+ pizza 0.17 0.11 0.13 9
+ platypus 1.00 0.33 0.50 3
+ pyramid 0.33 0.06 0.11 16
+ revolver 0.00 0.00 0.00 12
+ rhino 0.33 0.07 0.11 15
+ rooster 0.00 0.00 0.00 9
+ saxophone 0.20 0.14 0.17 7
+ schooner 0.00 0.00 0.00 12
+ scissors 0.00 0.00 0.00 7
+ scorpion 0.29 0.10 0.15 20
+ sea_horse 0.00 0.00 0.00 12
+ snoopy 0.50 0.20 0.29 5
+ soccer_ball 0.67 0.13 0.22 15
+ stapler 0.00 0.00 0.00 4
+ starfish 0.27 0.25 0.26 16
+ stegosaurus 0.75 0.18 0.29 17
+ stop_sign 0.86 0.46 0.60 13
+ strawberry 1.00 0.22 0.36 9
+ sunflower 0.52 0.46 0.49 24
+ tick 0.50 0.10 0.17 10
+ trilobite 0.45 0.53 0.49 19
+ umbrella 0.00 0.00 0.00 7
+ watch 0.22 0.18 0.20 45
+ water_lilly 0.00 0.00 0.00 7
+ wheelchair 0.00 0.00 0.00 13
+ wild_cat 0.00 0.00 0.00 7
+ windsor_chair 0.50 0.17 0.25 12
+ wrench 0.75 0.30 0.43 10
+ yin_yang 0.12 0.14 0.13 7
+
+ avg / total 0.32 0.35 0.28 1829
+
+2016-03-24 14:11:45,366 DEBUG: Info: Confusion matrix:
+2016-03-24 14:11:45,419 DEBUG:
+[[0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ ...,
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]]
+2016-03-24 14:11:45,419 DEBUG: Done: Statistic Results
+2016-03-24 14:11:45,419 DEBUG: Start: Plot Result
diff --git a/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-Report.csv b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-Report.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52a23edfd40beaf3950586a37bb9ef328d547255
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB-Report.csv
@@ -0,0 +1,103 @@
+;Precision;Recall;F1;Support
+accordion;0.181818181818;0.266666666667;0.216216216216;15.0
+airplanes;0.4625;0.925;0.616666666667;160.0
+anchor;0.0;0.0;0.0;6.0
+ant;0.0;0.0;0.0;9.0
+BACKGROUND_Google;0.150753768844;0.294117647059;0.199335548173;102.0
+barrel;0.0;0.0;0.0;9.0
+bass;0.5;0.1;0.166666666667;10.0
+beaver;0.0;0.0;0.0;9.0
+binocular;0.0;0.0;0.0;9.0
+bonsai;0.307692307692;0.2;0.242424242424;20.0
+brain;0.47619047619;0.434782608696;0.454545454545;23.0
+brontosaurus;0.0;0.0;0.0;8.0
+buddha;0.6;0.1875;0.285714285714;16.0
+butterfly;0.0;0.0;0.0;13.0
+camera;0.0;0.0;0.0;7.0
+cannon;0.0;0.0;0.0;8.0
+car_side;0.36;0.692307692308;0.473684210526;26.0
+ceiling_fan;0.5;0.125;0.2;8.0
+cellphone;0.0;0.0;0.0;10.0
+chair;0.5;0.166666666667;0.25;6.0
+chandelier;0.0;0.0;0.0;19.0
+cougar_body;0.0;0.0;0.0;11.0
+cougar_face;0.0;0.0;0.0;16.0
+crab;0.2;0.0666666666667;0.1;15.0
+crayfish;0.333333333333;0.0625;0.105263157895;16.0
+crocodile;0.0;0.0;0.0;11.0
+crocodile_head;0.0;0.0;0.0;7.0
+cup;0.0;0.0;0.0;11.0
+dalmatian;0.5;0.0666666666667;0.117647058824;15.0
+dollar_bill;0.285714285714;0.5;0.363636363636;4.0
+dolphin;0.0;0.0;0.0;12.0
+dragonfly;0.0;0.0;0.0;11.0
+electric_guitar;0.0;0.0;0.0;20.0
+elephant;0.0;0.0;0.0;11.0
+emu;0.0;0.0;0.0;12.0
+euphonium;0.666666666667;0.235294117647;0.347826086957;17.0
+ewer;0.0;0.0;0.0;14.0
+Faces;0.267281105991;0.610526315789;0.371794871795;95.0
+Faces_easy;0.340909090909;0.740740740741;0.466926070039;81.0
+ferry;1.0;0.0588235294118;0.111111111111;17.0
+flamingo;0.25;0.0625;0.1;16.0
+flamingo_head;0.0;0.0;0.0;7.0
+garfield;0.6;0.375;0.461538461538;8.0
+gerenuk;0.2;0.111111111111;0.142857142857;9.0
+gramophone;1.0;0.0909090909091;0.166666666667;11.0
+grand_piano;0.363636363636;0.380952380952;0.372093023256;21.0
+hawksbill;0.3;0.260869565217;0.279069767442;23.0
+headphone;0.0;0.0;0.0;14.0
+hedgehog;0.0;0.0;0.0;8.0
+helicopter;0.25;0.047619047619;0.08;21.0
+ibis;0.125;0.0625;0.0833333333333;16.0
+inline_skate;1.0;0.333333333333;0.5;9.0
+joshua_tree;0.2;0.0909090909091;0.125;11.0
+kangaroo;0.0588235294118;0.0769230769231;0.0666666666667;13.0
+ketch;0.3125;0.208333333333;0.25;24.0
+lamp;0.0;0.0;0.0;12.0
+laptop;0.0;0.0;0.0;17.0
+Leopards;0.690909090909;1.0;0.817204301075;38.0
+llama;1.0;0.0714285714286;0.133333333333;14.0
+lobster;0.0;0.0;0.0;9.0
+lotus;0.4;0.181818181818;0.25;11.0
+mandolin;0.0;0.0;0.0;10.0
+mayfly;0.25;0.2;0.222222222222;5.0
+menorah;0.125;0.0833333333333;0.1;12.0
+metronome;0.5;0.166666666667;0.25;6.0
+minaret;0.411764705882;0.583333333333;0.48275862069;12.0
+Motorbikes;0.49504950495;0.920245398773;0.643776824034;163.0
+nautilus;0.0;0.0;0.0;11.0
+octopus;1.0;0.25;0.4;12.0
+okapi;0.0;0.0;0.0;4.0
+pagoda;0.5;0.2;0.285714285714;15.0
+panda;0.0;0.0;0.0;5.0
+pigeon;0.0;0.0;0.0;11.0
+pizza;0.166666666667;0.111111111111;0.133333333333;9.0
+platypus;1.0;0.333333333333;0.5;3.0
+pyramid;0.333333333333;0.0625;0.105263157895;16.0
+revolver;0.0;0.0;0.0;12.0
+rhino;0.333333333333;0.0666666666667;0.111111111111;15.0
+rooster;0.0;0.0;0.0;9.0
+saxophone;0.2;0.142857142857;0.166666666667;7.0
+schooner;0.0;0.0;0.0;12.0
+scissors;0.0;0.0;0.0;7.0
+scorpion;0.285714285714;0.1;0.148148148148;20.0
+sea_horse;0.0;0.0;0.0;12.0
+snoopy;0.5;0.2;0.285714285714;5.0
+soccer_ball;0.666666666667;0.133333333333;0.222222222222;15.0
+stapler;0.0;0.0;0.0;4.0
+starfish;0.266666666667;0.25;0.258064516129;16.0
+stegosaurus;0.75;0.176470588235;0.285714285714;17.0
+stop_sign;0.857142857143;0.461538461538;0.6;13.0
+strawberry;1.0;0.222222222222;0.363636363636;9.0
+sunflower;0.52380952381;0.458333333333;0.488888888889;24.0
+tick;0.5;0.1;0.166666666667;10.0
+trilobite;0.454545454545;0.526315789474;0.487804878049;19.0
+umbrella;0.0;0.0;0.0;7.0
+watch;0.216216216216;0.177777777778;0.19512195122;45.0
+water_lilly;0.0;0.0;0.0;7.0
+wheelchair;0.0;0.0;0.0;13.0
+wild_cat;0.0;0.0;0.0;7.0
+windsor_chair;0.5;0.166666666667;0.25;12.0
+wrench;0.75;0.3;0.428571428571;10.0
+yin_yang;0.125;0.142857142857;0.133333333333;7.0
diff --git a/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB.csv b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB.csv
new file mode 100644
index 0000000000000000000000000000000000000000..86702e7feb53a9228ddfa121f557d6d5f037e0bb
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/RGB-Bins_16-CI_256/2016_03_24-CMV-Caltech-RGB.csv
@@ -0,0 +1,11 @@
+;a_class_time;b_cl_desc;c_cl_res;d_cl_score
+0;47.4799399376;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=-1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";0.341216678059
diff --git a/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-ConfMatrix.csv b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-ConfMatrix.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4ea27406c05671fc1edd8d018c7687144735ccc7
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-ConfMatrix.csv
@@ -0,0 +1,104 @@
+;accordion;airplanes;anchor;ant;BACKGROUND_Google;barrel;bass;beaver;binocular;bonsai;brain;brontosaurus;buddha;butterfly;camera;cannon;car_side;ceiling_fan;cellphone;chair;chandelier;cougar_body;cougar_face;crab;crayfish;crocodile;crocodile_head;cup;dalmatian;dollar_bill;dolphin;dragonfly;electric_guitar;elephant;emu;euphonium;ewer;Faces;Faces_easy;ferry;flamingo;flamingo_head;garfield;gerenuk;gramophone;grand_piano;hawksbill;headphone;hedgehog;helicopter;ibis;inline_skate;joshua_tree;kangaroo;ketch;lamp;laptop;Leopards;llama;lobster;lotus;mandolin;mayfly;menorah;metronome;minaret;Motorbikes;nautilus;octopus;okapi;pagoda;panda;pigeon;pizza;platypus;pyramid;revolver;rhino;rooster;saxophone;schooner;scissors;scorpion;sea_horse;snoopy;soccer_ball;stapler;starfish;stegosaurus;stop_sign;strawberry;sunflower;tick;trilobite;umbrella;watch;water_lilly;wheelchair;wild_cat;windsor_chair;wrench;yin_yang;All
+accordion;0.0;0.00581395348837;;0.0;0.00442477876106;;;;;0.0;0.0;;0.0;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.0;0.0114942528736;;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;;;;0.0135135135135;0.0;;0.0;;0.0;0.0;0.0;;0.0;0.0555555555556;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;;0.0;0.00191361399672
+airplanes;0.0;0.406976744186;;0.0;0.0132743362832;;;;;0.0;0.0;;0.0;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.0375;0.051724137931;;0.0;;0.0;0.0;;0.0;0.0208333333333;0.0;0.0;;0.0;;0.0;0.0;;;;0.0;0.0;;0.0;;0.0;0.0;0.0;;0.0348837209302;0.0;0.0;;;0.1;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;;0.0;0.0470202296337
+anchor;0.0;0.0116279069767;;0.0;0.00442477876106;;;;;0.0;0.0;;0.0;0.0;;;0.02;0.0;0.0;0.0;0.03125;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.0;0.00574712643678;;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;;;;0.0;0.0;;0.0;;0.0;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;;0.0;0.00218698742482
+ant;0.0;0.00581395348837;;0.0;0.00442477876106;;;;;0.0;0.0;;0.0;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.03125;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.00625;0.0114942528736;;0.0;;0.0714285714286;0.0;;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;;;;0.0;0.0;;0.0;;0.0;0.025;0.0;;0.00290697674419;0.0;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;;0.0;0.00273373428103
+BACKGROUND_Google;0.0;0.0174418604651;;0.0;0.199115044248;;;;;0.0952380952381;0.0192307692308;;0.0;0.0;;;0.02;0.0;0.0;0.0;0.03125;0.0;0.0;0.03125;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0357142857143;;0.0125;0.0402298850575;;0.0;;0.0;0.0;;0.0;0.0208333333333;0.0;0.0277777777778;;0.0;;0.0;0.0454545454545;;;;0.0135135135135;0.0227272727273;;0.0;;0.0714285714286;0.025;0.0;;0.0755813953488;0.0;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0357142857143;0.0555555555556;0.133333333333;0.0416666666667;0.0357142857143;;0.0;0.0;0.0;;0.0454545454545;0.0308911973756
+barrel;0.0;0.00290697674419;;0.0;0.0;;;;;0.0;0.0;;0.0;0.0;;;0.02;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.0;0.00574712643678;;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;;;;0.0;0.0;;0.0;;0.0;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0333333333333;0.0;0.0;;0.0;0.0;0.0;;0.0;0.00109349371241
+bass;0.0;0.00872093023256;;0.0;0.00442477876106;;;;;0.0;0.0;;0.0;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.00625;0.0114942528736;;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;;0.0;;0.0384615384615;0.0;;;;0.0135135135135;0.0;;0.0;;0.0;0.0;0.0;;0.0116279069767;0.0;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0277777777778;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;;0.0;0.00382722799344
+beaver;0.0;0.00581395348837;;0.0;0.00884955752212;;;;;0.0;0.0;;0.0;0.0;;;0.0;0.0;0.0;0.0;0.03125;0.0;0.0;0.0;;0.0;0.0;;0.05;0.0;0.0;;;0.0;0.0;0.0;;0.0;0.00574712643678;;0.0;;0.0;0.0;;0.0;0.0208333333333;0.0;0.0277777777778;;0.0;;0.0;0.0;;;;0.0;0.0;;0.0;;0.0;0.0;0.0;;0.00872093023256;0.0;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;;0.0;0.00328048113723
+binocular;0.0;0.0145348837209;;0.0;0.0;;;;;0.0;0.0;;0.0;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;;;0.0;0.0;0.0;;0.00625;0.0;;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;;;;0.0;0.0;;0.0;;0.0;0.0;0.0;;0.00581395348837;0.0;0.0;;;0.0;0.0;0.0;;0.0;;0.0;;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;;0.0;0.00218698742482
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diff --git a/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-LOG.log b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..84d9084bf384d98dc25573da93e91be678cde141
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-LOG.log
@@ -0,0 +1,136 @@
+2016-03-24 14:17:21,746 DEBUG: ### Main Programm for Classification MonoView
+2016-03-24 14:17:21,746 DEBUG: ### Classification - Database:Caltech Feature:SIFT train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:-1
+2016-03-24 14:17:21,747 DEBUG: Start: Read CSV Files
+2016-03-24 14:17:22,359 DEBUG: Info: Shape of Feature:(9144, 35), Length of classLabels vector:(9144,)
+2016-03-24 14:17:22,360 DEBUG: Done: Read CSV Files
+2016-03-24 14:17:22,360 DEBUG: Start: Determine Train/Test split
+2016-03-24 14:17:22,365 DEBUG: Info: Shape X_train:(7315, 35), Length of y_train:7315
+2016-03-24 14:17:22,365 DEBUG: Info: Shape X_test:(1829, 35), Length of y_test:1829
+2016-03-24 14:17:22,365 DEBUG: Done: Determine Train/Test split
+2016-03-24 14:17:22,365 DEBUG: Start: Classification
+2016-03-24 14:18:00,811 DEBUG: Info: Time for Classification: 39.0608248711[s]
+2016-03-24 14:18:00,811 DEBUG: Done: Classification
+2016-03-24 14:18:00,812 DEBUG: Start: Exporting to CSV
+2016-03-24 14:18:00,813 DEBUG: Done: Exporting to CSV
+2016-03-24 14:18:01,264 DEBUG: Start: Statistic Results
+2016-03-24 14:18:01,265 DEBUG: Info: Accuracy classification score:0.312192454893
+2016-03-24 14:18:01,265 DEBUG: Info: Classification report:
+2016-03-24 14:18:01,267 DEBUG:
+ precision recall f1-score support
+
+ accordion 0.00 0.00 0.00 7
+ airplanes 0.32 0.81 0.46 172
+ anchor 0.00 0.00 0.00 8
+ ant 0.00 0.00 0.00 10
+BACKGROUND_Google 0.29 0.40 0.33 113
+ barrel 0.00 0.00 0.00 4
+ bass 0.00 0.00 0.00 14
+ beaver 0.00 0.00 0.00 12
+ binocular 0.00 0.00 0.00 8
+ bonsai 0.14 0.33 0.19 21
+ brain 0.54 0.54 0.54 26
+ brontosaurus 0.00 0.00 0.00 9
+ buddha 0.00 0.00 0.00 16
+ butterfly 0.00 0.00 0.00 24
+ camera 0.00 0.00 0.00 12
+ cannon 0.00 0.00 0.00 8
+ car_side 0.26 0.24 0.25 25
+ ceiling_fan 0.00 0.00 0.00 10
+ cellphone 0.00 0.00 0.00 8
+ chair 0.00 0.00 0.00 13
+ chandelier 0.00 0.00 0.00 16
+ cougar_body 0.00 0.00 0.00 6
+ cougar_face 0.00 0.00 0.00 13
+ crab 0.00 0.00 0.00 16
+ crayfish 0.00 0.00 0.00 14
+ crocodile 0.33 0.22 0.27 9
+ crocodile_head 0.25 0.14 0.18 7
+ cup 0.00 0.00 0.00 16
+ dalmatian 0.50 0.20 0.29 10
+ dollar_bill 1.00 0.33 0.50 9
+ dolphin 0.00 0.00 0.00 12
+ dragonfly 0.00 0.00 0.00 16
+ electric_guitar 0.00 0.00 0.00 19
+ elephant 0.00 0.00 0.00 10
+ emu 0.00 0.00 0.00 11
+ euphonium 0.38 0.21 0.27 14
+ ewer 0.00 0.00 0.00 14
+ Faces 0.25 0.39 0.31 80
+ Faces_easy 0.26 0.55 0.35 87
+ ferry 0.00 0.00 0.00 8
+ flamingo 0.00 0.00 0.00 18
+ flamingo_head 0.00 0.00 0.00 7
+ garfield 0.67 0.29 0.40 7
+ gerenuk 0.25 1.00 0.40 2
+ gramophone 0.00 0.00 0.00 9
+ grand_piano 0.75 0.21 0.33 14
+ hawksbill 0.23 0.38 0.28 24
+ headphone 0.00 0.00 0.00 6
+ hedgehog 0.15 0.11 0.13 18
+ helicopter 0.00 0.00 0.00 11
+ ibis 0.00 0.00 0.00 12
+ inline_skate 0.00 0.00 0.00 9
+ joshua_tree 0.33 0.23 0.27 13
+ kangaroo 0.13 0.18 0.15 11
+ ketch 0.00 0.00 0.00 25
+ lamp 0.00 0.00 0.00 16
+ laptop 0.00 0.00 0.00 18
+ Leopards 0.56 0.95 0.71 37
+ llama 0.50 0.05 0.08 22
+ lobster 0.00 0.00 0.00 6
+ lotus 0.00 0.00 0.00 15
+ mandolin 0.00 0.00 0.00 10
+ mayfly 0.00 0.00 0.00 7
+ menorah 0.00 0.00 0.00 20
+ metronome 1.00 0.20 0.33 5
+ minaret 0.00 0.00 0.00 16
+ Motorbikes 0.37 0.90 0.53 172
+ nautilus 0.00 0.00 0.00 9
+ octopus 1.00 0.40 0.57 5
+ okapi 0.00 0.00 0.00 6
+ pagoda 0.00 0.00 0.00 4
+ panda 0.00 0.00 0.00 5
+ pigeon 0.00 0.00 0.00 14
+ pizza 0.00 0.00 0.00 13
+ platypus 0.00 0.00 0.00 9
+ pyramid 0.50 0.14 0.22 7
+ revolver 0.00 0.00 0.00 11
+ rhino 0.00 0.00 0.00 11
+ rooster 0.00 0.00 0.00 9
+ saxophone 0.00 0.00 0.00 8
+ schooner 0.00 0.00 0.00 14
+ scissors 0.20 0.20 0.20 5
+ scorpion 0.50 0.20 0.29 15
+ sea_horse 0.33 0.06 0.11 16
+ snoopy 0.67 0.57 0.62 7
+ soccer_ball 0.71 0.31 0.43 16
+ stapler 0.00 0.00 0.00 8
+ starfish 0.18 0.17 0.17 18
+ stegosaurus 0.00 0.00 0.00 8
+ stop_sign 0.60 0.23 0.33 13
+ strawberry 0.67 0.18 0.29 11
+ sunflower 0.14 0.07 0.10 14
+ tick 0.00 0.00 0.00 9
+ trilobite 0.37 0.67 0.48 15
+ umbrella 0.10 0.08 0.09 12
+ watch 0.22 0.17 0.19 42
+ water_lilly 0.00 0.00 0.00 7
+ wheelchair 0.00 0.00 0.00 16
+ wild_cat 0.00 0.00 0.00 8
+ windsor_chair 0.55 0.75 0.63 8
+ wrench 0.00 0.00 0.00 8
+ yin_yang 0.29 0.36 0.32 11
+
+ avg / total 0.21 0.31 0.23 1829
+
+2016-03-24 14:18:01,273 DEBUG: Info: Confusion matrix:
+2016-03-24 14:18:01,323 DEBUG:
+[[0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ ...,
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]]
+2016-03-24 14:18:01,323 DEBUG: Done: Statistic Results
+2016-03-24 14:18:01,323 DEBUG: Start: Plot Result
diff --git a/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-Report.csv b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-Report.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d9b805718ee72b0538ca01b7e74dfbdd1da79e74
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT-Report.csv
@@ -0,0 +1,103 @@
+;Precision;Recall;F1;Support
+accordion;0.0;0.0;0.0;7.0
+airplanes;0.318181818182;0.813953488372;0.457516339869;172.0
+anchor;0.0;0.0;0.0;8.0
+ant;0.0;0.0;0.0;10.0
+BACKGROUND_Google;0.288461538462;0.398230088496;0.334572490706;113.0
+barrel;0.0;0.0;0.0;4.0
+bass;0.0;0.0;0.0;14.0
+beaver;0.0;0.0;0.0;12.0
+binocular;0.0;0.0;0.0;8.0
+bonsai;0.137254901961;0.333333333333;0.194444444444;21.0
+brain;0.538461538462;0.538461538462;0.538461538462;26.0
+brontosaurus;0.0;0.0;0.0;9.0
+buddha;0.0;0.0;0.0;16.0
+butterfly;0.0;0.0;0.0;24.0
+camera;0.0;0.0;0.0;12.0
+cannon;0.0;0.0;0.0;8.0
+car_side;0.260869565217;0.24;0.25;25.0
+ceiling_fan;0.0;0.0;0.0;10.0
+cellphone;0.0;0.0;0.0;8.0
+chair;0.0;0.0;0.0;13.0
+chandelier;0.0;0.0;0.0;16.0
+cougar_body;0.0;0.0;0.0;6.0
+cougar_face;0.0;0.0;0.0;13.0
+crab;0.0;0.0;0.0;16.0
+crayfish;0.0;0.0;0.0;14.0
+crocodile;0.333333333333;0.222222222222;0.266666666667;9.0
+crocodile_head;0.25;0.142857142857;0.181818181818;7.0
+cup;0.0;0.0;0.0;16.0
+dalmatian;0.5;0.2;0.285714285714;10.0
+dollar_bill;1.0;0.333333333333;0.5;9.0
+dolphin;0.0;0.0;0.0;12.0
+dragonfly;0.0;0.0;0.0;16.0
+electric_guitar;0.0;0.0;0.0;19.0
+elephant;0.0;0.0;0.0;10.0
+emu;0.0;0.0;0.0;11.0
+euphonium;0.375;0.214285714286;0.272727272727;14.0
+ewer;0.0;0.0;0.0;14.0
+Faces;0.254098360656;0.3875;0.306930693069;80.0
+Faces_easy;0.255319148936;0.551724137931;0.349090909091;87.0
+ferry;0.0;0.0;0.0;8.0
+flamingo;0.0;0.0;0.0;18.0
+flamingo_head;0.0;0.0;0.0;7.0
+garfield;0.666666666667;0.285714285714;0.4;7.0
+gerenuk;0.25;1.0;0.4;2.0
+gramophone;0.0;0.0;0.0;9.0
+grand_piano;0.75;0.214285714286;0.333333333333;14.0
+hawksbill;0.225;0.375;0.28125;24.0
+headphone;0.0;0.0;0.0;6.0
+hedgehog;0.153846153846;0.111111111111;0.129032258065;18.0
+helicopter;0.0;0.0;0.0;11.0
+ibis;0.0;0.0;0.0;12.0
+inline_skate;0.0;0.0;0.0;9.0
+joshua_tree;0.333333333333;0.230769230769;0.272727272727;13.0
+kangaroo;0.133333333333;0.181818181818;0.153846153846;11.0
+ketch;0.0;0.0;0.0;25.0
+lamp;0.0;0.0;0.0;16.0
+laptop;0.0;0.0;0.0;18.0
+Leopards;0.564516129032;0.945945945946;0.707070707071;37.0
+llama;0.5;0.0454545454545;0.0833333333333;22.0
+lobster;0.0;0.0;0.0;6.0
+lotus;0.0;0.0;0.0;15.0
+mandolin;0.0;0.0;0.0;10.0
+mayfly;0.0;0.0;0.0;7.0
+menorah;0.0;0.0;0.0;20.0
+metronome;1.0;0.2;0.333333333333;5.0
+minaret;0.0;0.0;0.0;16.0
+Motorbikes;0.372596153846;0.901162790698;0.527210884354;172.0
+nautilus;0.0;0.0;0.0;9.0
+octopus;1.0;0.4;0.571428571429;5.0
+okapi;0.0;0.0;0.0;6.0
+pagoda;0.0;0.0;0.0;4.0
+panda;0.0;0.0;0.0;5.0
+pigeon;0.0;0.0;0.0;14.0
+pizza;0.0;0.0;0.0;13.0
+platypus;0.0;0.0;0.0;9.0
+pyramid;0.5;0.142857142857;0.222222222222;7.0
+revolver;0.0;0.0;0.0;11.0
+rhino;0.0;0.0;0.0;11.0
+rooster;0.0;0.0;0.0;9.0
+saxophone;0.0;0.0;0.0;8.0
+schooner;0.0;0.0;0.0;14.0
+scissors;0.2;0.2;0.2;5.0
+scorpion;0.5;0.2;0.285714285714;15.0
+sea_horse;0.333333333333;0.0625;0.105263157895;16.0
+snoopy;0.666666666667;0.571428571429;0.615384615385;7.0
+soccer_ball;0.714285714286;0.3125;0.434782608696;16.0
+stapler;0.0;0.0;0.0;8.0
+starfish;0.176470588235;0.166666666667;0.171428571429;18.0
+stegosaurus;0.0;0.0;0.0;8.0
+stop_sign;0.6;0.230769230769;0.333333333333;13.0
+strawberry;0.666666666667;0.181818181818;0.285714285714;11.0
+sunflower;0.142857142857;0.0714285714286;0.0952380952381;14.0
+tick;0.0;0.0;0.0;9.0
+trilobite;0.37037037037;0.666666666667;0.47619047619;15.0
+umbrella;0.1;0.0833333333333;0.0909090909091;12.0
+watch;0.21875;0.166666666667;0.189189189189;42.0
+water_lilly;0.0;0.0;0.0;7.0
+wheelchair;0.0;0.0;0.0;16.0
+wild_cat;0.0;0.0;0.0;8.0
+windsor_chair;0.545454545455;0.75;0.631578947368;8.0
+wrench;0.0;0.0;0.0;8.0
+yin_yang;0.285714285714;0.363636363636;0.32;11.0
diff --git a/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT.csv b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT.csv
new file mode 100644
index 0000000000000000000000000000000000000000..7b4a15b85853d7ea6ce746a06ee6dfbd273c779f
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SIFT-Cluster_35/2016_03_24-CMV-Caltech-SIFT.csv
@@ -0,0 +1,11 @@
+;a_class_time;b_cl_desc;c_cl_res;d_cl_score
+0;39.0608248711;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=-1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";0.298564593301
diff --git a/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-ConfMatrix.csv b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-ConfMatrix.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4b37bf529db4ff31f5b0a70d31ee18d4c75c65b1
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-ConfMatrix.csv
@@ -0,0 +1,104 @@
+;accordion;airplanes;anchor;ant;BACKGROUND_Google;barrel;bass;beaver;binocular;bonsai;brain;brontosaurus;buddha;butterfly;camera;cannon;car_side;ceiling_fan;cellphone;chair;chandelier;cougar_body;cougar_face;crab;crayfish;crocodile;crocodile_head;cup;dalmatian;dollar_bill;dolphin;dragonfly;electric_guitar;elephant;emu;euphonium;ewer;Faces;Faces_easy;ferry;flamingo;flamingo_head;garfield;gerenuk;gramophone;grand_piano;hawksbill;headphone;hedgehog;helicopter;ibis;inline_skate;joshua_tree;kangaroo;ketch;lamp;laptop;Leopards;llama;lobster;lotus;mandolin;mayfly;menorah;metronome;minaret;Motorbikes;nautilus;octopus;okapi;pagoda;panda;pigeon;pizza;platypus;pyramid;revolver;rhino;rooster;saxophone;schooner;scissors;scorpion;sea_horse;snoopy;soccer_ball;stapler;starfish;stegosaurus;stop_sign;strawberry;sunflower;tick;trilobite;umbrella;watch;water_lilly;wheelchair;wild_cat;windsor_chair;wrench;yin_yang;All
+accordion;0.166666666667;0.0;;;0.0263157894737;;;0.0;0.0;0.0;0.0;;0.0;0.0;;;0.0;;0.0;0.0;0.0;0.0;0.0263157894737;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.016393442623;0.0;;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.00613496932515;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.00410060142154
+airplanes;0.0;0.444444444444;;;0.00526315789474;;;0.0;0.0;0.0;0.0;;0.0;0.0277777777778;;;0.0263157894737;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0655737704918;0.00480769230769;;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0184049079755;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0442864953527
+anchor;0.0;0.00617283950617;;;0.0;;;0.0;0.0;0.0;0.0;;0.0;0.0;;;0.0263157894737;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.00480769230769;;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;;0.0;0.0;0.0;0.0;0.0122699386503;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0357142857143;0.0;0.0;0.0;;0.0;;0.0;0.00246036085293
+ant;0.0;0.0;;;0.00526315789474;;;0.0;0.0;0.0;0.0;;0.0;0.0;;;0.0;;0.0;0.0416666666667;0.0263157894737;0.0;0.0;0.0;;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.00480769230769;;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.03125;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0555555555556;;0.0;0.0;0.0;0.0;0.0122699386503;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0555555555556;0.0;0.0;0.0;0.0;0.0;0.0;0.0;;0.0;0.0;0.0;0.0;0.0104166666667;0.0;0.0;;0.0;;0.0;0.00328048113723
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+All;0.433333333333;0.929012345679;;;1.16842105263;;;0.0714285714286;0.25;0.75;0.40625;;0.21875;0.0277777777778;;;0.684210526316;;0.25;0.125;0.236842105263;0.0714285714286;0.368421052632;0.117647058824;;0.1;0.2;;0.0333333333333;0.384615384615;0.0384615384615;0.0384615384615;0.166666666667;0.21875;0.153846153846;0.2;0.0882352941176;1.52459016393;0.634615384615;;0.107142857143;0.2;0.142857142857;0.375;;0.383333333333;0.775;0.142857142857;0.28125;0.0588235294118;0.0714285714286;;0.458333333333;0.5;0.166666666667;0.166666666667;0.15625;0.875;0.681818181818;;1.0;;0.0833333333333;0.178571428571;0.2;0.159090909091;1.15337423313;0.0416666666667;0.1;0.0714285714286;0.277777777778;0.1;;0.115384615385;0.1;0.0384615384615;0.0227272727273;0.25;0.0625;0.1;0.0714285714286;1.5;0.555555555556;0.1875;0.192307692308;0.318181818182;0.1;0.28125;0.0227272727273;0.2;;0.676470588235;0.142857142857;0.55;0.285714285714;0.322916666667;0.1;0.142857142857;;0.323529411765;;0.5;0.5
diff --git a/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-LOG.log b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..7e686ef3d996308c203c3b4cc5f9968bc2a58899
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-LOG.log
@@ -0,0 +1,136 @@
+2016-03-24 14:19:01,134 DEBUG: ### Main Programm for Classification MonoView
+2016-03-24 14:19:01,134 DEBUG: ### Classification - Database:Caltech Feature:SURF train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:-1
+2016-03-24 14:19:01,134 DEBUG: Start: Read CSV Files
+2016-03-24 14:19:01,444 DEBUG: Info: Shape of Feature:(9144, 30), Length of classLabels vector:(9144,)
+2016-03-24 14:19:01,444 DEBUG: Done: Read CSV Files
+2016-03-24 14:19:01,444 DEBUG: Start: Determine Train/Test split
+2016-03-24 14:19:01,447 DEBUG: Info: Shape X_train:(7315, 30), Length of y_train:7315
+2016-03-24 14:19:01,447 DEBUG: Info: Shape X_test:(1829, 30), Length of y_test:1829
+2016-03-24 14:19:01,447 DEBUG: Done: Determine Train/Test split
+2016-03-24 14:19:01,447 DEBUG: Start: Classification
+2016-03-24 14:19:44,784 DEBUG: Info: Time for Classification: 43.6445031166[s]
+2016-03-24 14:19:44,784 DEBUG: Done: Classification
+2016-03-24 14:19:44,785 DEBUG: Start: Exporting to CSV
+2016-03-24 14:19:44,787 DEBUG: Done: Exporting to CSV
+2016-03-24 14:19:45,354 DEBUG: Start: Statistic Results
+2016-03-24 14:19:45,355 DEBUG: Info: Accuracy classification score:0.367960634226
+2016-03-24 14:19:45,355 DEBUG: Info: Classification report:
+2016-03-24 14:19:45,358 DEBUG:
+ precision recall f1-score support
+
+ accordion 0.38 0.33 0.36 15
+ airplanes 0.48 0.89 0.62 162
+ anchor 0.00 0.00 0.00 9
+ ant 0.00 0.00 0.00 12
+BACKGROUND_Google 0.17 0.40 0.24 95
+ barrel 0.00 0.00 0.00 6
+ bass 0.00 0.00 0.00 11
+ beaver 0.00 0.00 0.00 7
+ binocular 0.00 0.00 0.00 2
+ bonsai 0.19 0.29 0.23 28
+ brain 0.54 0.44 0.48 16
+ brontosaurus 0.00 0.00 0.00 11
+ buddha 0.71 0.31 0.43 16
+ butterfly 0.00 0.00 0.00 18
+ camera 0.00 0.00 0.00 9
+ cannon 0.00 0.00 0.00 13
+ car_side 0.31 0.42 0.36 19
+ ceiling_fan 0.00 0.00 0.00 10
+ cellphone 0.67 0.33 0.44 6
+ chair 0.00 0.00 0.00 12
+ chandelier 0.22 0.11 0.14 19
+ cougar_body 0.00 0.00 0.00 7
+ cougar_face 0.57 0.42 0.48 19
+ crab 0.25 0.06 0.10 17
+ crayfish 0.00 0.00 0.00 17
+ crocodile 0.00 0.00 0.00 15
+ crocodile_head 0.00 0.00 0.00 10
+ cup 0.00 0.00 0.00 9
+ dalmatian 1.00 0.07 0.12 15
+ dollar_bill 0.70 0.54 0.61 13
+ dolphin 0.00 0.00 0.00 13
+ dragonfly 0.00 0.00 0.00 13
+ electric_guitar 0.00 0.00 0.00 12
+ elephant 0.00 0.00 0.00 16
+ emu 0.50 0.15 0.24 13
+ euphonium 1.00 0.40 0.57 15
+ ewer 0.33 0.06 0.10 17
+ Faces 0.20 0.61 0.30 61
+ Faces_easy 0.54 0.68 0.60 104
+ ferry 0.00 0.00 0.00 13
+ flamingo 0.00 0.00 0.00 14
+ flamingo_head 0.25 0.10 0.14 10
+ garfield 1.00 0.29 0.44 7
+ gerenuk 0.50 0.38 0.43 8
+ gramophone 0.00 0.00 0.00 10
+ grand_piano 0.52 0.40 0.45 30
+ hawksbill 0.23 0.35 0.27 20
+ headphone 1.00 0.29 0.44 7
+ hedgehog 0.11 0.06 0.08 16
+ helicopter 0.00 0.00 0.00 17
+ ibis 0.00 0.00 0.00 14
+ inline_skate 0.00 0.00 0.00 5
+ joshua_tree 0.18 0.17 0.17 12
+ kangaroo 0.09 0.09 0.09 11
+ ketch 0.12 0.04 0.06 24
+ lamp 0.33 0.11 0.17 9
+ laptop 0.60 0.19 0.29 16
+ Leopards 0.56 0.98 0.71 44
+ llama 0.07 0.09 0.08 11
+ lobster 0.00 0.00 0.00 10
+ lotus 0.28 0.56 0.37 9
+ mandolin 0.00 0.00 0.00 6
+ mayfly 0.00 0.00 0.00 6
+ menorah 0.20 0.07 0.11 14
+ metronome 1.00 0.40 0.57 5
+ minaret 0.29 0.09 0.14 22
+ Motorbikes 0.40 0.93 0.56 163
+ nautilus 0.00 0.00 0.00 12
+ octopus 0.00 0.00 0.00 5
+ okapi 0.00 0.00 0.00 7
+ pagoda 0.40 0.22 0.29 9
+ panda 0.00 0.00 0.00 10
+ pigeon 0.00 0.00 0.00 7
+ pizza 0.00 0.00 0.00 13
+ platypus 0.00 0.00 0.00 5
+ pyramid 1.00 0.08 0.14 13
+ revolver 0.00 0.00 0.00 22
+ rhino 0.40 0.20 0.27 10
+ rooster 0.00 0.00 0.00 8
+ saxophone 1.00 0.20 0.33 5
+ schooner 0.50 0.07 0.12 14
+ scissors 0.17 0.50 0.25 2
+ scorpion 0.30 0.33 0.32 9
+ sea_horse 0.00 0.00 0.00 8
+ snoopy 1.00 0.38 0.56 13
+ soccer_ball 0.86 0.55 0.67 11
+ stapler 0.50 0.10 0.17 10
+ starfish 0.22 0.12 0.16 16
+ stegosaurus 1.00 0.05 0.09 22
+ stop_sign 0.75 0.30 0.43 10
+ strawberry 0.00 0.00 0.00 10
+ sunflower 0.39 0.53 0.45 17
+ tick 0.00 0.00 0.00 7
+ trilobite 0.64 0.70 0.67 20
+ umbrella 0.38 0.21 0.27 14
+ watch 0.16 0.10 0.13 48
+ water_lilly 1.00 0.20 0.33 5
+ wheelchair 0.00 0.00 0.00 7
+ wild_cat 0.00 0.00 0.00 9
+ windsor_chair 1.00 0.65 0.79 17
+ wrench 0.00 0.00 0.00 8
+ yin_yang 0.64 0.64 0.64 11
+
+ avg / total 0.33 0.37 0.30 1829
+
+2016-03-24 14:19:45,366 DEBUG: Info: Confusion matrix:
+2016-03-24 14:19:45,448 DEBUG:
+[[0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ ...,
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]
+ [0 0 0 ..., 0 0 0]]
+2016-03-24 14:19:45,448 DEBUG: Done: Statistic Results
+2016-03-24 14:19:45,448 DEBUG: Start: Plot Result
diff --git a/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-Report.csv b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-Report.csv
new file mode 100644
index 0000000000000000000000000000000000000000..912afa0f33a530f41dfd11f522623b292cc6e9c2
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF-Report.csv
@@ -0,0 +1,103 @@
+;Precision;Recall;F1;Support
+accordion;0.384615384615;0.333333333333;0.357142857143;15.0
+airplanes;0.478405315615;0.888888888889;0.622030237581;162.0
+anchor;0.0;0.0;0.0;9.0
+ant;0.0;0.0;0.0;12.0
+BACKGROUND_Google;0.171171171171;0.4;0.239747634069;95.0
+barrel;0.0;0.0;0.0;6.0
+bass;0.0;0.0;0.0;11.0
+beaver;0.0;0.0;0.0;7.0
+binocular;0.0;0.0;0.0;2.0
+bonsai;0.190476190476;0.285714285714;0.228571428571;28.0
+brain;0.538461538462;0.4375;0.48275862069;16.0
+brontosaurus;0.0;0.0;0.0;11.0
+buddha;0.714285714286;0.3125;0.434782608696;16.0
+butterfly;0.0;0.0;0.0;18.0
+camera;0.0;0.0;0.0;9.0
+cannon;0.0;0.0;0.0;13.0
+car_side;0.307692307692;0.421052631579;0.355555555556;19.0
+ceiling_fan;0.0;0.0;0.0;10.0
+cellphone;0.666666666667;0.333333333333;0.444444444444;6.0
+chair;0.0;0.0;0.0;12.0
+chandelier;0.222222222222;0.105263157895;0.142857142857;19.0
+cougar_body;0.0;0.0;0.0;7.0
+cougar_face;0.571428571429;0.421052631579;0.484848484848;19.0
+crab;0.25;0.0588235294118;0.0952380952381;17.0
+crayfish;0.0;0.0;0.0;17.0
+crocodile;0.0;0.0;0.0;15.0
+crocodile_head;0.0;0.0;0.0;10.0
+cup;0.0;0.0;0.0;9.0
+dalmatian;1.0;0.0666666666667;0.125;15.0
+dollar_bill;0.7;0.538461538462;0.608695652174;13.0
+dolphin;0.0;0.0;0.0;13.0
+dragonfly;0.0;0.0;0.0;13.0
+electric_guitar;0.0;0.0;0.0;12.0
+elephant;0.0;0.0;0.0;16.0
+emu;0.5;0.153846153846;0.235294117647;13.0
+euphonium;1.0;0.4;0.571428571429;15.0
+ewer;0.333333333333;0.0588235294118;0.1;17.0
+Faces;0.198924731183;0.606557377049;0.2995951417;61.0
+Faces_easy;0.537878787879;0.682692307692;0.601694915254;104.0
+ferry;0.0;0.0;0.0;13.0
+flamingo;0.0;0.0;0.0;14.0
+flamingo_head;0.25;0.1;0.142857142857;10.0
+garfield;1.0;0.285714285714;0.444444444444;7.0
+gerenuk;0.5;0.375;0.428571428571;8.0
+gramophone;0.0;0.0;0.0;10.0
+grand_piano;0.521739130435;0.4;0.452830188679;30.0
+hawksbill;0.225806451613;0.35;0.274509803922;20.0
+headphone;1.0;0.285714285714;0.444444444444;7.0
+hedgehog;0.111111111111;0.0625;0.08;16.0
+helicopter;0.0;0.0;0.0;17.0
+ibis;0.0;0.0;0.0;14.0
+inline_skate;0.0;0.0;0.0;5.0
+joshua_tree;0.181818181818;0.166666666667;0.173913043478;12.0
+kangaroo;0.0909090909091;0.0909090909091;0.0909090909091;11.0
+ketch;0.125;0.0416666666667;0.0625;24.0
+lamp;0.333333333333;0.111111111111;0.166666666667;9.0
+laptop;0.6;0.1875;0.285714285714;16.0
+Leopards;0.558441558442;0.977272727273;0.710743801653;44.0
+llama;0.0666666666667;0.0909090909091;0.0769230769231;11.0
+lobster;0.0;0.0;0.0;10.0
+lotus;0.277777777778;0.555555555556;0.37037037037;9.0
+mandolin;0.0;0.0;0.0;6.0
+mayfly;0.0;0.0;0.0;6.0
+menorah;0.2;0.0714285714286;0.105263157895;14.0
+metronome;1.0;0.4;0.571428571429;5.0
+minaret;0.285714285714;0.0909090909091;0.137931034483;22.0
+Motorbikes;0.401595744681;0.926380368098;0.560296846011;163.0
+nautilus;0.0;0.0;0.0;12.0
+octopus;0.0;0.0;0.0;5.0
+okapi;0.0;0.0;0.0;7.0
+pagoda;0.4;0.222222222222;0.285714285714;9.0
+panda;0.0;0.0;0.0;10.0
+pigeon;0.0;0.0;0.0;7.0
+pizza;0.0;0.0;0.0;13.0
+platypus;0.0;0.0;0.0;5.0
+pyramid;1.0;0.0769230769231;0.142857142857;13.0
+revolver;0.0;0.0;0.0;22.0
+rhino;0.4;0.2;0.266666666667;10.0
+rooster;0.0;0.0;0.0;8.0
+saxophone;1.0;0.2;0.333333333333;5.0
+schooner;0.5;0.0714285714286;0.125;14.0
+scissors;0.166666666667;0.5;0.25;2.0
+scorpion;0.3;0.333333333333;0.315789473684;9.0
+sea_horse;0.0;0.0;0.0;8.0
+snoopy;1.0;0.384615384615;0.555555555556;13.0
+soccer_ball;0.857142857143;0.545454545455;0.666666666667;11.0
+stapler;0.5;0.1;0.166666666667;10.0
+starfish;0.222222222222;0.125;0.16;16.0
+stegosaurus;1.0;0.0454545454545;0.0869565217391;22.0
+stop_sign;0.75;0.3;0.428571428571;10.0
+strawberry;0.0;0.0;0.0;10.0
+sunflower;0.391304347826;0.529411764706;0.45;17.0
+tick;0.0;0.0;0.0;7.0
+trilobite;0.636363636364;0.7;0.666666666667;20.0
+umbrella;0.375;0.214285714286;0.272727272727;14.0
+watch;0.161290322581;0.104166666667;0.126582278481;48.0
+water_lilly;1.0;0.2;0.333333333333;5.0
+wheelchair;0.0;0.0;0.0;7.0
+wild_cat;0.0;0.0;0.0;9.0
+windsor_chair;1.0;0.647058823529;0.785714285714;17.0
+wrench;0.0;0.0;0.0;8.0
+yin_yang;0.636363636364;0.636363636364;0.636363636364;11.0
diff --git a/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF.csv b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2bd3bbadaee598a51e90ea91ce003f411e69c594
--- /dev/null
+++ b/Code/Niko/Results-ClassMonoView/SURF-Cluster_30/2016_03_24-CMV-Caltech-SURF.csv
@@ -0,0 +1,11 @@
+;a_class_time;b_cl_desc;c_cl_res;d_cl_score
+0;43.6445031166;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=-1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";0.360628844839
diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-ClassLabels-Description.csv b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-ClassLabels-Description.csv
deleted file mode 100644
index 4308f0e60d7278c3146564c021926f5a8932bf0d..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-ClassLabels-Description.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-0;accordion
-1;anchor
diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-ClassLabels.csv b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-ClassLabels.csv
deleted file mode 100644
index 1987414cca0dfb6beea5feebaafa10351a655843..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-ClassLabels.csv
+++ /dev/null
@@ -1,97 +0,0 @@
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diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-HOG-CellDimension_5-nbOrientaions_8-nbClusters_12-Maxiter_100.csv b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-HOG-CellDimension_5-nbOrientaions_8-nbClusters_12-Maxiter_100.csv
deleted file mode 100644
index b2913f5330dd1ca93c6fd711744232e959286742..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-HOG-CellDimension_5-nbOrientaions_8-nbClusters_12-Maxiter_100.csv
+++ /dev/null
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diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-HSV-Bins_[16, 4, 4]-Norm_Distr.csv b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-HSV-Bins_[16, 4, 4]-Norm_Distr.csv
deleted file mode 100644
index 54aad8d1757dc43e40514a6d12c5c8d74d8849c8..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-HSV-Bins_[16, 4, 4]-Norm_Distr.csv
+++ /dev/null
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diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-RGB-Bins_16-MaxCI_256-Norm_Distr.csv b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-RGB-Bins_16-MaxCI_256-Norm_Distr.csv
deleted file mode 100644
index 6ddfcb80e4ee2b7e5ba40aab10b187c278b4e33e..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-RGB-Bins_16-MaxCI_256-Norm_Distr.csv
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diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-RGB_HSV_SIFT_SURF_HOG-LOG.log b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-RGB_HSV_SIFT_SURF_HOG-LOG.log
deleted file mode 100644
index e8b44d980515d7ae20cbd088b3b1e4b9fb1dbd04..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-RGB_HSV_SIFT_SURF_HOG-LOG.log
+++ /dev/null
@@ -1,41 +0,0 @@
-2016-03-22 15:16:37,407 DEBUG:### Main Programm for Feature Extraction ###
-2016-03-22 15:16:37,408 DEBUG:Infos: NameDB=CTMini, Path=D:\CaltechMini, Features=RGB HSV SIFT SURF HOG
-2016-03-22 15:16:37,408 DEBUG:Start: Exportation of images from DB
-2016-03-22 15:16:37,667 DEBUG:Done: Exportation of images from DB in:0.259000062943[s]
-2016-03-22 15:16:37,668 DEBUG:Start: Features Extraction
-2016-03-22 15:16:37,668 DEBUG:RGB: Start
-2016-03-22 15:16:37,668 DEBUG:RGB: NumberOfBins=16, MaxColorIntensity=256, Norm=Distr
-2016-03-22 15:16:37,844 DEBUG:RGB: Done in: 0.175000190735[s]
-2016-03-22 15:16:37,844 DEBUG:HSV: Start
-2016-03-22 15:16:37,844 DEBUG:HSV: HSVBins=[16,4,4], Norm=Distr
-2016-03-22 15:16:38,188 DEBUG:HSV: Done in: 0.344999790192[s]
-2016-03-22 15:16:38,190 DEBUG:SIFT: Start
-2016-03-22 15:16:38,190 DEBUG:SIFT: Cluster=50, Norm=Distr
-2016-03-22 15:16:38,190 DEBUG:SIFT: Keypoints Calculation
-2016-03-22 15:16:40,349 DEBUG:SIFT: 25% of images processed (Keypoints)
-2016-03-22 15:16:42,005 DEBUG:SIFT: 50% of images processed (Keypoints)
-2016-03-22 15:16:43,447 DEBUG:SIFT: 75% of images processed (Keypoints)
-2016-03-22 15:16:44,878 DEBUG:SIFT: Calculation of Dictonary with 50 Clusters
-2016-03-22 15:16:48,861 DEBUG:SIFT: Assign words from Dictonary to each Image
-2016-03-22 15:16:48,951 DEBUG:SIFT: 25% of images processed (Assignments)
-2016-03-22 15:16:49,023 DEBUG:SIFT: 50% of images processed (Assignments)
-2016-03-22 15:16:49,079 DEBUG:SIFT: 75% of images processed (Assignments)
-2016-03-22 15:16:49,135 DEBUG:SIFT: Done in: 10.9459998608[s]
-2016-03-22 15:16:49,135 DEBUG:SURF: Start
-2016-03-22 15:16:49,137 DEBUG:SURF: Cluster=50, Norm=Distr
-2016-03-22 15:16:49,138 DEBUG:SURF: Keypoints Calculation
-2016-03-22 15:16:51,694 DEBUG:SURF: 25% of images processed (Keypoints)
-2016-03-22 15:16:53,861 DEBUG:SURF: 50% of images processed (Keypoints)
-2016-03-22 15:16:56,025 DEBUG:SURF: 75% of images processed (Keypoints)
-2016-03-22 15:16:58,243 DEBUG:SURF: Calculation of Dictonary with 50 Clusters
-2016-03-22 15:17:00,667 DEBUG:SURF: Assign words from Dictonary to each Image
-2016-03-22 15:17:00,757 DEBUG:SURF: 25% of images processed (Assignments)
-2016-03-22 15:17:00,829 DEBUG:SURF: 50% of images processed (Assignments)
-2016-03-22 15:17:00,897 DEBUG:SURF: 75% of images processed (Assignments)
-2016-03-22 15:17:00,986 DEBUG:SURF: Done in: 11.8489999771[s]
-2016-03-22 15:17:00,986 DEBUG:HOG: Start
-2016-03-22 15:17:00,986 DEBUG:HOG: CellDim=5, NbOrientations=8, Cluster=12, MaxIter=100, NbCores=1
-2016-03-22 15:19:21,826 DEBUG:HOG: Done in: 140.839999914[s]
-2016-03-22 15:19:21,828 DEBUG:Done: Features Extraction
-2016-03-22 15:19:21,828 DEBUG:Start: Save Features to CSV Databases
-2016-03-22 15:19:21,924 DEBUG:Done: Save Features to CSV Databases
diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-SIFT-Cluster_50-Norm_Distr.csv b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-SIFT-Cluster_50-Norm_Distr.csv
deleted file mode 100644
index f2fe4f60ce822edf1b9f5ca8bc629a140732b9f3..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-SIFT-Cluster_50-Norm_Distr.csv
+++ /dev/null
@@ -1,97 +0,0 @@
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diff --git a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-SURF-Cluster_50-Norm_Distr.csv b/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-SURF-Cluster_50-Norm_Distr.csv
deleted file mode 100644
index aae079585709bfa34df1300894d8cabad466c132..0000000000000000000000000000000000000000
--- a/Code/Niko/Results-FeatExtr/2016_03_22-FE-CTMini-SURF-Cluster_50-Norm_Distr.csv
+++ /dev/null
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diff --git a/Code/Niko/Results-FeatParaOpt/HOG-10-50-5/2016_03_19-FeatParaOpt-HOG.csv b/Code/Niko/Results-FeatParaOpt/HOG-10-50-5/2016_03_19-FeatParaOpt-HOG.csv
new file mode 100644
index 0000000000000000000000000000000000000000..81a5d8e8354291d3910e3a362d1f15a719076cd0
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HOG-10-50-5/2016_03_19-FeatParaOpt-HOG.csv
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+ estimator__classifier__random_state=None,
+ estimator__classifier__verbose=0, fit_params={}, iid=True,
+ loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 100, 150, 200]},
+ pre_dispatch=2*n_jobs, refit=True, score_func=None,
+ scoring=accuracy, verbose=0)";407.7028250694275;0.40437457279562544
diff --git a/Code/Niko/Results-FeatParaOpt/HOG-10-50-5/2016_03_19-Feature_HOG-Parameter_HOG_Cluster-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HOG-10-50-5/2016_03_19-Feature_HOG-Parameter_HOG_Cluster-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_22-FPO-Caltech-HOG-HOG_Cluster-LOG.log b/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_22-FPO-Caltech-HOG-HOG_Cluster-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..bcdf89985245e9974da0c0ee9fe818db31f0a482
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_22-FPO-Caltech-HOG-HOG_Cluster-LOG.log
@@ -0,0 +1,29 @@
+2016-03-22 18:13:09,911 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-22 18:13:09,911 DEBUG:### Optimisation - Feature:HOG Parameter:HOG_Cluster from:2 to:25 in #calc:5
+2016-03-22 18:13:09,911 DEBUG:### Start: Exportation of images from DB
+2016-03-22 18:13:34,763 DEBUG:### Done: Exportation of Images from DB
+2016-03-22 18:13:34,763 DEBUG:### Start: Feautre Optimisation
+2016-03-22 18:13:34,763 DEBUG:### Start: FeatureExtraction Nr:1 from:5 with HOG_Cluster=2 ###
+2016-03-22 18:29:03,165 DEBUG:### Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-22 18:29:03,168 DEBUG:### Start: Classification Nr:1 from:5
+2016-03-22 18:30:26,380 DEBUG:### Done: Classification Nr:1 from:5
+2016-03-22 18:30:26,383 DEBUG:### Start: FeatureExtraction Nr:2 from:5 with HOG_Cluster=8 ###
+2016-03-22 18:45:23,670 DEBUG:### Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-22 18:45:23,673 DEBUG:### Start: Classification Nr:2 from:5
+2016-03-22 18:48:01,253 DEBUG:### Done: Classification Nr:2 from:5
+2016-03-22 18:48:01,258 DEBUG:### Start: FeatureExtraction Nr:3 from:5 with HOG_Cluster=14 ###
+2016-03-22 19:03:28,173 DEBUG:### Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-22 19:03:28,177 DEBUG:### Start: Classification Nr:3 from:5
+2016-03-22 19:06:28,239 DEBUG:### Done: Classification Nr:3 from:5
+2016-03-22 19:06:28,243 DEBUG:### Start: FeatureExtraction Nr:4 from:5 with HOG_Cluster=19 ###
+2016-03-22 19:23:35,256 DEBUG:### Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-22 19:23:35,261 DEBUG:### Start: Classification Nr:4 from:5
+2016-03-22 19:27:24,724 DEBUG:### Done: Classification Nr:4 from:5
+2016-03-22 19:27:24,728 DEBUG:### Start: FeatureExtraction Nr:5 from:5 with HOG_Cluster=25 ###
+2016-03-22 19:42:33,443 DEBUG:### Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-22 19:42:33,449 DEBUG:### Start: Classification Nr:5 from:5
+2016-03-22 19:47:13,940 DEBUG:### Done: Classification Nr:5 from:5
+2016-03-22 19:47:13,944 DEBUG:### Done: Feautre Optimisation
+2016-03-22 19:47:13,944 DEBUG:### Start: Exporting to CSV
+2016-03-22 19:47:13,997 DEBUG:### Done: Exporting to CSV
+2016-03-22 19:47:13,998 DEBUG:### Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_22-FPO-Caltech-HOG-HOG_Cluster.csv b/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_22-FPO-Caltech-HOG-HOG_Cluster.csv
new file mode 100644
index 0000000000000000000000000000000000000000..db863f52f13609abcb1e4b6f37d48563af0189d7
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_22-FPO-Caltech-HOG-HOG_Cluster.csv
@@ -0,0 +1,146 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_2-Maxiter_100;928.4018321037292;Classif_RF-CV_10-Trees_25;"GridSearchCV(cv=10,
+ estimator=Pipeline(classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=No...jobs=1,
+ classifier__oob_score=False, classifier__random_state=None,
+ classifier__verbose=0),
+ estimator__classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=None,
+ verbose=0),
+ estimator__classifier__bootstrap=True,
+ estimator__classifier__compute_importances=None,
+ estimator__classifier__criterion=gini,
+ estimator__classifier__max_depth=None,
+ estimator__classifier__max_features=auto,
+ estimator__classifier__min_density=None,
+ estimator__classifier__min_samples_leaf=1,
+ estimator__classifier__min_samples_split=2,
+ estimator__classifier__n_estimators=10,
+ estimator__classifier__n_jobs=1,
+ estimator__classifier__oob_score=False,
+ estimator__classifier__random_state=None,
+ estimator__classifier__verbose=0, fit_params={}, iid=True,
+ loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch=2*n_jobs, refit=True, score_func=None,
+ scoring=accuracy, verbose=0)";83.214035987854;0.08516746411483253
+1;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_8-Maxiter_100;897.2865669727325;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10,
+ estimator=Pipeline(classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=No...jobs=1,
+ classifier__oob_score=False, classifier__random_state=None,
+ classifier__verbose=0),
+ estimator__classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=None,
+ verbose=0),
+ estimator__classifier__bootstrap=True,
+ estimator__classifier__compute_importances=None,
+ estimator__classifier__criterion=gini,
+ estimator__classifier__max_depth=None,
+ estimator__classifier__max_features=auto,
+ estimator__classifier__min_density=None,
+ estimator__classifier__min_samples_leaf=1,
+ estimator__classifier__min_samples_split=2,
+ estimator__classifier__n_estimators=10,
+ estimator__classifier__n_jobs=1,
+ estimator__classifier__oob_score=False,
+ estimator__classifier__random_state=None,
+ estimator__classifier__verbose=0, fit_params={}, iid=True,
+ loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch=2*n_jobs, refit=True, score_func=None,
+ scoring=accuracy, verbose=0)";157.58279609680176;0.3397129186602871
+2;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_14-Maxiter_100;926.914687871933;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10,
+ estimator=Pipeline(classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=No...jobs=1,
+ classifier__oob_score=False, classifier__random_state=None,
+ classifier__verbose=0),
+ estimator__classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=None,
+ verbose=0),
+ estimator__classifier__bootstrap=True,
+ estimator__classifier__compute_importances=None,
+ estimator__classifier__criterion=gini,
+ estimator__classifier__max_depth=None,
+ estimator__classifier__max_features=auto,
+ estimator__classifier__min_density=None,
+ estimator__classifier__min_samples_leaf=1,
+ estimator__classifier__min_samples_split=2,
+ estimator__classifier__n_estimators=10,
+ estimator__classifier__n_jobs=1,
+ estimator__classifier__oob_score=False,
+ estimator__classifier__random_state=None,
+ estimator__classifier__verbose=0, fit_params={}, iid=True,
+ loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch=2*n_jobs, refit=True, score_func=None,
+ scoring=accuracy, verbose=0)";180.0653371810913;0.3819548872180451
+3;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_19-Maxiter_100;1027.0131568908691;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10,
+ estimator=Pipeline(classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=No...jobs=1,
+ classifier__oob_score=False, classifier__random_state=None,
+ classifier__verbose=0),
+ estimator__classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=None,
+ verbose=0),
+ estimator__classifier__bootstrap=True,
+ estimator__classifier__compute_importances=None,
+ estimator__classifier__criterion=gini,
+ estimator__classifier__max_depth=None,
+ estimator__classifier__max_features=auto,
+ estimator__classifier__min_density=None,
+ estimator__classifier__min_samples_leaf=1,
+ estimator__classifier__min_samples_split=2,
+ estimator__classifier__n_estimators=10,
+ estimator__classifier__n_jobs=1,
+ estimator__classifier__oob_score=False,
+ estimator__classifier__random_state=None,
+ estimator__classifier__verbose=0, fit_params={}, iid=True,
+ loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch=2*n_jobs, refit=True, score_func=None,
+ scoring=accuracy, verbose=0)";229.46753215789795;0.3964456596035543
+4;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_25-Maxiter_100;908.715017080307;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10,
+ estimator=Pipeline(classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=No...jobs=1,
+ classifier__oob_score=False, classifier__random_state=None,
+ classifier__verbose=0),
+ estimator__classifier=RandomForestClassifier(bootstrap=True, compute_importances=None,
+ criterion=gini, max_depth=None, max_features=auto,
+ min_density=None, min_samples_leaf=1, min_samples_split=2,
+ n_estimators=10, n_jobs=1, oob_score=False, random_state=None,
+ verbose=0),
+ estimator__classifier__bootstrap=True,
+ estimator__classifier__compute_importances=None,
+ estimator__classifier__criterion=gini,
+ estimator__classifier__max_depth=None,
+ estimator__classifier__max_features=auto,
+ estimator__classifier__min_density=None,
+ estimator__classifier__min_samples_leaf=1,
+ estimator__classifier__min_samples_split=2,
+ estimator__classifier__n_estimators=10,
+ estimator__classifier__n_jobs=1,
+ estimator__classifier__oob_score=False,
+ estimator__classifier__random_state=None,
+ estimator__classifier__verbose=0, fit_params={}, iid=True,
+ loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch=2*n_jobs, refit=True, score_func=None,
+ scoring=accuracy, verbose=0)";280.4962558746338;0.39876965140123033
diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HOG-2-25-5/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-TotalTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-LOG.log b/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..f0fa55f6a01615f1fe2e9be3085480645564bfd6
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-LOG.log
@@ -0,0 +1,18 @@
+2016-03-23 16:07:28,908 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 16:07:28,908 DEBUG:### Optimisation - Feature:HOG Parameter:HOG_Cluster from:2 to:40 in #calc:8
+2016-03-23 16:07:28,908 DEBUG:Start: Exportation of images from DB
+2016-03-23 16:08:02,780 DEBUG:Done: Exportation of Images from DB
+2016-03-23 16:08:02,780 DEBUG:Start: Feautre Optimisation
+2016-03-23 16:08:02,780 DEBUG:Start: FeatureExtraction Nr:1 from:8 with HOG_Cluster=2 ###
+2016-03-23 16:48:15,005 DEBUG:Done: FeatureExtraction Nr:1 from:8 ###
+2016-03-23 16:48:15,014 DEBUG:Start: Classification Nr:1 from:8
+2016-03-23 16:50:09,571 DEBUG:Done: Classification Nr:1 from:8
+2016-03-23 16:50:09,576 DEBUG:Start: FeatureExtraction Nr:2 from:8 with HOG_Cluster=7 ###
+2016-03-23 17:31:34,386 DEBUG:Done: FeatureExtraction Nr:2 from:8 ###
+2016-03-23 17:31:34,392 DEBUG:Start: Classification Nr:2 from:8
+2016-03-23 17:34:17,157 DEBUG:Done: Classification Nr:2 from:8
+2016-03-23 17:34:17,161 DEBUG:Start: FeatureExtraction Nr:3 from:8 with HOG_Cluster=13 ###
+2016-03-23 18:16:27,334 DEBUG:Done: FeatureExtraction Nr:3 from:8 ###
+2016-03-23 18:16:27,340 DEBUG:Start: Classification Nr:3 from:8
+2016-03-23 18:20:25,823 DEBUG:Done: Classification Nr:3 from:8
+2016-03-23 18:20:25,827 DEBUG:Start: FeatureExtraction Nr:4 from:8 with HOG_Cluster=18 ###
diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster-TotalTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster.csv b/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster.csv
new file mode 100644
index 0000000000000000000000000000000000000000..00732427cbcfe0a3cbceb50a5f4a98b71a4a09d8
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HOG-2-40-8/2016_03_23-FPO-Caltech-HOG-HOG_Cluster.csv
@@ -0,0 +1,81 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_2-Maxiter_100;214.177071095;Classif_RF-CV_10-Trees_75;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";104.319211006;0.0840738209159
+1;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_7-Maxiter_100;227.588664055;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";148.769458055;0.308407382092
+2;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_13-Maxiter_100;377.613494158;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";246.63273406;0.365823650034
+3;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_18-Maxiter_100;291.989357948;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";273.207005024;0.371975393028
+4;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_24-Maxiter_100;379.484831095;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";272.042835951;0.382091592618
+5;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_29-Maxiter_100;361.47339201;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";296.652350903;0.385919343814
+6;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_35-Maxiter_100;399.528645039;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";337.895560026;0.383458646617
+7;Caltech-HOG-CellDimension_5-nbOrientaions_8-nbClusters_40-Maxiter_100;532.315495968;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";431.639822006;0.386056049214
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-LOG.log b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..015b6cc4a6b82a3b4ff94cbfccefc513898b14a2
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-LOG.log
@@ -0,0 +1,59 @@
+2016-03-23 15:48:29,632 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 15:48:29,633 DEBUG:### Optimisation - Feature:HSV Parameter:HSV_H_Bins from:2 to:25 in #calc:5
+2016-03-23 15:48:29,633 DEBUG:Start: Exportation of images from DB
+2016-03-23 15:49:09,864 DEBUG:Done: Exportation of Images from DB
+2016-03-23 15:49:09,865 DEBUG:Start: Feautre Optimisation
+2016-03-23 15:49:09,865 DEBUG:Start: FeatureExtraction Nr:1 from:5 with HSV_H_Bins=2 ###
+2016-03-23 15:49:13,585 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 15:49:13,586 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 15:49:21,316 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 15:49:21,316 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 15:49:32,267 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 15:49:32,271 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 15:53:48,918 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 15:53:48,924 DEBUG:Start: FeatureExtraction Nr:2 from:5 with HSV_H_Bins=8 ###
+2016-03-23 15:53:53,546 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 15:53:53,546 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 15:54:03,779 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 15:54:03,779 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 15:54:19,938 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 15:54:19,945 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 16:00:14,752 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 16:00:14,759 DEBUG:Start: FeatureExtraction Nr:3 from:5 with HSV_H_Bins=14 ###
+2016-03-23 16:00:20,451 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:00:20,451 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:00:32,156 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:00:32,156 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:00:48,569 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 16:00:48,576 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 16:06:39,135 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 16:06:39,139 DEBUG:Start: FeatureExtraction Nr:4 from:5 with HSV_H_Bins=19 ###
+2016-03-23 16:06:42,687 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:06:42,687 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:06:50,445 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:06:50,445 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:07:01,382 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 16:07:01,387 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 16:14:03,463 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 16:14:03,469 DEBUG:Start: FeatureExtraction Nr:5 from:5 with HSV_H_Bins=25 ###
+2016-03-23 16:14:08,805 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:14:08,805 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:14:20,274 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:14:20,274 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:14:36,890 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 16:14:36,897 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 16:22:06,260 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 16:22:06,267 DEBUG:Done: Feautre Optimisation
+2016-03-23 16:22:06,267 DEBUG:Start: Exporting to CSV
+2016-03-23 16:22:06,274 DEBUG:Done: Exporting to CSV
+2016-03-23 16:22:06,275 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-TotalTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..f455040ebf7d46b3abadc534df6d97c955822711
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-TotalTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins.csv b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5508bae04046ccf33f34e0394026d15e64ae49d8
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-H-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HSV-Bins_[2, 4, 4]-Norm_Distr;22.4012949467;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";256.651581049;0.276008202324
+1;Caltech-HSV-Bins_[8, 4, 4]-Norm_Distr;31.0133678913;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";354.814352989;0.298701298701
+2;Caltech-HSV-Bins_[14, 4, 4]-Norm_Distr;33.8095641136;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";350.565969229;0.311414900889
+3;Caltech-HSV-Bins_[19, 4, 4]-Norm_Distr;22.2435379028;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";422.080357075;0.311961722488
+4;Caltech-HSV-Bins_[25, 4, 4]-Norm_Distr;33.4213168621;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";449.370568037;0.307997265892
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-1.csv b/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..73ddc4646028c31f995865db86154e1353ae0560
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-1.csv
@@ -0,0 +1,81 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HSV-Bins_[2, 4, 4]-Norm_Distr;25.6562640667;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";251.723390102;0.272863978127
+1;Caltech-HSV-Bins_[7, 4, 4]-Norm_Distr;25.454885006;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";292.761908054;0.302118933698
+2;Caltech-HSV-Bins_[13, 4, 4]-Norm_Distr;42.9206018448;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";310.873064041;0.307040328093
+3;Caltech-HSV-Bins_[18, 4, 4]-Norm_Distr;22.2474060059;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";393.337944984;0.310594668489
+4;Caltech-HSV-Bins_[24, 4, 4]-Norm_Distr;23.7491908073;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";398.620684862;0.306220095694
+5;Caltech-HSV-Bins_[29, 4, 4]-Norm_Distr;28.9357578754;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";502.915449142;0.306220095694
+6;Caltech-HSV-Bins_[35, 4, 4]-Norm_Distr;22.5334229469;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";478.694366932;0.313192071087
+7;Caltech-HSV-Bins_[40, 4, 4]-Norm_Distr;26.2234349251;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";502.065092087;0.305946684894
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-LOG-1.log b/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-LOG-1.log
new file mode 100644
index 0000000000000000000000000000000000000000..e619550811ab3c646be9035678d3bf206a7a99f8
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-LOG-1.log
@@ -0,0 +1,89 @@
+2016-03-23 16:11:29,026 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 16:11:29,026 DEBUG:### Optimisation - Feature:HSV Parameter:HSV_H_Bins from:2 to:40 in #calc:8
+2016-03-23 16:11:29,027 DEBUG:Start: Exportation of images from DB
+2016-03-23 16:12:02,430 DEBUG:Done: Exportation of Images from DB
+2016-03-23 16:12:02,430 DEBUG:Start: Feautre Optimisation
+2016-03-23 16:12:02,430 DEBUG:Start: FeatureExtraction Nr:1 from:8 with HSV_H_Bins=2 ###
+2016-03-23 16:12:06,008 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:12:06,008 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:12:14,090 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:12:14,090 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:12:28,087 DEBUG:Done: FeatureExtraction Nr:1 from:8 ###
+2016-03-23 16:12:28,094 DEBUG:Start: Classification Nr:1 from:8
+2016-03-23 16:16:39,810 DEBUG:Done: Classification Nr:1 from:8
+2016-03-23 16:16:39,816 DEBUG:Start: FeatureExtraction Nr:2 from:8 with HSV_H_Bins=7 ###
+2016-03-23 16:16:44,588 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:16:44,588 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:16:52,564 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:16:52,564 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:17:05,271 DEBUG:Done: FeatureExtraction Nr:2 from:8 ###
+2016-03-23 16:17:05,279 DEBUG:Start: Classification Nr:2 from:8
+2016-03-23 16:21:58,033 DEBUG:Done: Classification Nr:2 from:8
+2016-03-23 16:21:58,040 DEBUG:Start: FeatureExtraction Nr:3 from:8 with HSV_H_Bins=13 ###
+2016-03-23 16:22:04,234 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:22:04,234 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:22:17,976 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:22:17,976 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:22:40,960 DEBUG:Done: FeatureExtraction Nr:3 from:8 ###
+2016-03-23 16:22:40,972 DEBUG:Start: Classification Nr:3 from:8
+2016-03-23 16:27:51,833 DEBUG:Done: Classification Nr:3 from:8
+2016-03-23 16:27:51,837 DEBUG:Start: FeatureExtraction Nr:4 from:8 with HSV_H_Bins=18 ###
+2016-03-23 16:27:55,349 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:27:55,349 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:28:02,959 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:28:02,959 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:28:14,085 DEBUG:Done: FeatureExtraction Nr:4 from:8 ###
+2016-03-23 16:28:14,089 DEBUG:Start: Classification Nr:4 from:8
+2016-03-23 16:34:47,423 DEBUG:Done: Classification Nr:4 from:8
+2016-03-23 16:34:47,427 DEBUG:Start: FeatureExtraction Nr:5 from:8 with HSV_H_Bins=24 ###
+2016-03-23 16:34:50,957 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:34:50,957 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:34:58,589 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:34:58,589 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:35:11,176 DEBUG:Done: FeatureExtraction Nr:5 from:8 ###
+2016-03-23 16:35:11,184 DEBUG:Start: Classification Nr:5 from:8
+2016-03-23 16:41:49,797 DEBUG:Done: Classification Nr:5 from:8
+2016-03-23 16:41:49,801 DEBUG:Start: FeatureExtraction Nr:6 from:8 with HSV_H_Bins=29 ###
+2016-03-23 16:41:53,620 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:41:53,620 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:42:02,552 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:42:02,552 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:42:18,737 DEBUG:Done: FeatureExtraction Nr:6 from:8 ###
+2016-03-23 16:42:18,746 DEBUG:Start: Classification Nr:6 from:8
+2016-03-23 16:50:41,653 DEBUG:Done: Classification Nr:6 from:8
+2016-03-23 16:50:41,657 DEBUG:Start: FeatureExtraction Nr:7 from:8 with HSV_H_Bins=35 ###
+2016-03-23 16:50:45,241 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:50:45,241 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:50:52,962 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:50:52,962 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:51:04,190 DEBUG:Done: FeatureExtraction Nr:7 from:8 ###
+2016-03-23 16:51:04,195 DEBUG:Start: Classification Nr:7 from:8
+2016-03-23 16:59:02,885 DEBUG:Done: Classification Nr:7 from:8
+2016-03-23 16:59:02,889 DEBUG:Start: FeatureExtraction Nr:8 from:8 with HSV_H_Bins=40 ###
+2016-03-23 16:59:06,657 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:59:06,657 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 16:59:15,946 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 16:59:15,946 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 16:59:29,113 DEBUG:Done: FeatureExtraction Nr:8 from:8 ###
+2016-03-23 16:59:29,121 DEBUG:Start: Classification Nr:8 from:8
+2016-03-23 17:07:51,178 DEBUG:Done: Classification Nr:8 from:8
+2016-03-23 17:07:51,184 DEBUG:Done: Feautre Optimisation
+2016-03-23 17:07:51,184 DEBUG:Start: Exporting to CSV
+2016-03-23 17:07:51,196 DEBUG:Done: Exporting to CSV
+2016-03-23 17:07:51,196 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HSV-H-2-40-8/2016_03_23-FPO-Caltech-HSV-HSV_H_Bins-TotalTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-1.csv b/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d8557889c82d44caf08a4b9e1645b91855acf6ca
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-1.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HSV-Bins_[14, 2, 4]-Norm_Distr;25.3997480869;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";357.733181;0.295693779904
+1;Caltech-HSV-Bins_[14, 5, 4]-Norm_Distr;26.2750990391;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";333.383592129;0.311004784689
+2;Caltech-HSV-Bins_[14, 8, 4]-Norm_Distr;25.9917731285;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";354.52549696;0.317156527683
+3;Caltech-HSV-Bins_[14, 11, 4]-Norm_Distr;22.7783639431;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";366.31456399;0.326862611073
+4;Caltech-HSV-Bins_[14, 14, 4]-Norm_Distr;31.9355540276;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";387.941183805;0.331920710868
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-LOG-1.log b/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-LOG-1.log
new file mode 100644
index 0000000000000000000000000000000000000000..cee75f1d7234ba9c9ec02bba79471b845831f4ef
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-LOG-1.log
@@ -0,0 +1,59 @@
+2016-03-23 18:10:26,691 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 18:10:26,691 DEBUG:### Optimisation - Feature:HSV Parameter:HSV_S_Bins from:2 to:14 in #calc:5
+2016-03-23 18:10:26,691 DEBUG:Start: Exportation of images from DB
+2016-03-23 18:10:57,734 DEBUG:Done: Exportation of Images from DB
+2016-03-23 18:10:57,734 DEBUG:Start: Feautre Optimisation
+2016-03-23 18:10:57,734 DEBUG:Start: FeatureExtraction Nr:1 from:5 with HSV_S_Bins=2 ###
+2016-03-23 18:11:02,339 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:11:02,339 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:11:11,229 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:11:11,229 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:11:23,134 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 18:11:23,139 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 18:17:20,868 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 18:17:20,872 DEBUG:Start: FeatureExtraction Nr:2 from:5 with HSV_S_Bins=5 ###
+2016-03-23 18:17:24,608 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:17:24,608 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:17:32,739 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:17:32,739 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:17:47,147 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 18:17:47,155 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 18:23:20,531 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 18:23:20,537 DEBUG:Start: FeatureExtraction Nr:3 from:5 with HSV_S_Bins=8 ###
+2016-03-23 18:23:25,701 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:23:25,701 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:23:34,169 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:23:34,169 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:23:46,529 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 18:23:46,537 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 18:29:41,055 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 18:29:41,059 DEBUG:Start: FeatureExtraction Nr:4 from:5 with HSV_S_Bins=11 ###
+2016-03-23 18:29:44,654 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:29:44,654 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:29:52,539 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:29:52,539 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:30:03,838 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 18:30:03,842 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 18:36:10,152 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 18:36:10,158 DEBUG:Start: FeatureExtraction Nr:5 from:5 with HSV_S_Bins=14 ###
+2016-03-23 18:36:15,442 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:36:15,443 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:36:26,853 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:36:26,853 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:36:42,094 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 18:36:42,101 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 18:43:10,035 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 18:43:10,039 DEBUG:Done: Feautre Optimisation
+2016-03-23 18:43:10,039 DEBUG:Start: Exporting to CSV
+2016-03-23 18:43:10,044 DEBUG:Done: Exporting to CSV
+2016-03-23 18:43:10,044 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HSV-S-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-TotalTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-LOG.log b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..e0355f50a34e7d3ae374e682cbe2f17e85b38bb1
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-LOG.log
@@ -0,0 +1,59 @@
+2016-03-23 17:08:50,853 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 17:08:50,853 DEBUG:### Optimisation - Feature:HSV Parameter:HSV_S_Bins from:2 to:25 in #calc:5
+2016-03-23 17:08:50,853 DEBUG:Start: Exportation of images from DB
+2016-03-23 17:09:27,252 DEBUG:Done: Exportation of Images from DB
+2016-03-23 17:09:27,252 DEBUG:Start: Feautre Optimisation
+2016-03-23 17:09:27,253 DEBUG:Start: FeatureExtraction Nr:1 from:5 with HSV_S_Bins=2 ###
+2016-03-23 17:09:32,472 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:09:32,472 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:09:43,788 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:09:43,788 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:09:58,909 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 17:09:58,914 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 17:15:48,926 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 17:15:48,930 DEBUG:Start: FeatureExtraction Nr:2 from:5 with HSV_S_Bins=8 ###
+2016-03-23 17:15:52,479 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:15:52,479 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:16:00,109 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:16:00,110 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:16:13,900 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 17:16:13,908 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 17:23:20,040 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 17:23:20,044 DEBUG:Start: FeatureExtraction Nr:3 from:5 with HSV_S_Bins=14 ###
+2016-03-23 17:23:23,678 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:23:23,678 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:23:31,379 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:23:31,379 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:23:42,356 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 17:23:42,361 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 17:31:34,656 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 17:31:34,662 DEBUG:Start: FeatureExtraction Nr:4 from:5 with HSV_S_Bins=19 ###
+2016-03-23 17:31:39,982 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:31:39,982 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:31:51,444 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:31:51,444 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:32:07,479 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 17:32:07,484 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 17:40:29,419 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 17:40:29,424 DEBUG:Start: FeatureExtraction Nr:5 from:5 with HSV_S_Bins=25 ###
+2016-03-23 17:40:33,212 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:40:33,212 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:40:41,419 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:40:41,419 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:41:00,151 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 17:41:00,159 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 17:48:40,592 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 17:48:40,599 DEBUG:Done: Feautre Optimisation
+2016-03-23 17:48:40,599 DEBUG:Start: Exporting to CSV
+2016-03-23 17:48:40,608 DEBUG:Done: Exporting to CSV
+2016-03-23 17:48:40,608 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-TotalTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..a14e805c3997e50ea6b9925e33b0e24cf6dc8634
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins-TotalTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins.csv b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins.csv
new file mode 100644
index 0000000000000000000000000000000000000000..fdc4262299e6b77a2acf8455167c7b229b3bc57b
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-S-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_S_Bins.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HSV-Bins_[14, 2, 4]-Norm_Distr;31.656277895;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";350.016489029;0.298838004101
+1;Caltech-HSV-Bins_[14, 8, 4]-Norm_Distr;24.9707760811;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";426.139739037;0.32016404648
+2;Caltech-HSV-Bins_[14, 14, 4]-Norm_Distr;22.3114440441;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";472.30026412;0.330827067669
+3;Caltech-HSV-Bins_[14, 19, 4]-Norm_Distr;32.8171300888;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";501.939895153;0.331100478469
+4;Caltech-HSV-Bins_[14, 25, 4]-Norm_Distr;30.7270770073;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";460.440881014;0.333014354067
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-1.csv b/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9202e8931602020cac74e26883d778f2ffe6915d
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-1.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HSV-Bins_[14, 4, 2]-Norm_Distr;33.5029220581;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";348.620543957;0.298291182502
+1;Caltech-HSV-Bins_[14, 4, 5]-Norm_Distr;26.9419109821;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";295.189228058;0.311141490089
+2;Caltech-HSV-Bins_[14, 4, 8]-Norm_Distr;22.4647729397;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";348.016880035;0.326042378674
+3;Caltech-HSV-Bins_[14, 4, 11]-Norm_Distr;22.9533112049;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";329.26789093;0.331373889269
+4;Caltech-HSV-Bins_[14, 4, 14]-Norm_Distr;22.0616440773;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";393.675150871;0.334107997266
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-LOG.log b/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..948afc3b699e0b13976d835f35e279bbcdc46378
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-LOG.log
@@ -0,0 +1,59 @@
+2016-03-23 17:09:56,102 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 17:09:56,102 DEBUG:### Optimisation - Feature:HSV Parameter:HSV_V_Bins from:2 to:25 in #calc:5
+2016-03-23 17:09:56,103 DEBUG:Start: Exportation of images from DB
+2016-03-23 17:10:32,801 DEBUG:Done: Exportation of Images from DB
+2016-03-23 17:10:32,801 DEBUG:Start: Feautre Optimisation
+2016-03-23 17:10:32,802 DEBUG:Start: FeatureExtraction Nr:1 from:5 with HSV_V_Bins=2 ###
+2016-03-23 17:10:38,580 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:10:38,580 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:11:00,911 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:11:00,911 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:11:18,352 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 17:11:18,360 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 17:17:02,619 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 17:17:02,626 DEBUG:Start: FeatureExtraction Nr:2 from:5 with HSV_V_Bins=8 ###
+2016-03-23 17:17:12,409 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:17:12,410 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:17:31,492 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:17:31,493 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:17:49,110 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 17:17:49,118 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 17:24:39,402 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 17:24:39,407 DEBUG:Start: FeatureExtraction Nr:3 from:5 with HSV_V_Bins=14 ###
+2016-03-23 17:24:43,129 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:24:43,129 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:24:50,992 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:24:50,992 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:25:02,140 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 17:25:02,145 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 17:31:53,642 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 17:31:53,647 DEBUG:Start: FeatureExtraction Nr:4 from:5 with HSV_V_Bins=19 ###
+2016-03-23 17:31:57,196 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:31:57,196 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:32:04,887 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:32:04,887 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:32:15,896 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 17:32:15,901 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 17:40:02,528 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 17:40:02,532 DEBUG:Start: FeatureExtraction Nr:5 from:5 with HSV_V_Bins=25 ###
+2016-03-23 17:40:06,246 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:40:06,246 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:40:14,514 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:40:14,514 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:40:26,339 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 17:40:26,344 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 17:48:04,142 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 17:48:04,149 DEBUG:Done: Feautre Optimisation
+2016-03-23 17:48:04,149 DEBUG:Start: Exporting to CSV
+2016-03-23 17:48:04,167 DEBUG:Done: Exporting to CSV
+2016-03-23 17:48:04,167 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HSV-V-2-14-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-TotalTime.png
new file mode 100644
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diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-ClassTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..7afe26f684d59adfbff68880c0b7315ac141708f
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-ClassTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-FeatExtTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..4281751d37c9ad551bb71c3218451f04a97d9af7
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-FeatExtTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-LOG.log b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..948afc3b699e0b13976d835f35e279bbcdc46378
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-LOG.log
@@ -0,0 +1,59 @@
+2016-03-23 17:09:56,102 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 17:09:56,102 DEBUG:### Optimisation - Feature:HSV Parameter:HSV_V_Bins from:2 to:25 in #calc:5
+2016-03-23 17:09:56,103 DEBUG:Start: Exportation of images from DB
+2016-03-23 17:10:32,801 DEBUG:Done: Exportation of Images from DB
+2016-03-23 17:10:32,801 DEBUG:Start: Feautre Optimisation
+2016-03-23 17:10:32,802 DEBUG:Start: FeatureExtraction Nr:1 from:5 with HSV_V_Bins=2 ###
+2016-03-23 17:10:38,580 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:10:38,580 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:11:00,911 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:11:00,911 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:11:18,352 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 17:11:18,360 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 17:17:02,619 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 17:17:02,626 DEBUG:Start: FeatureExtraction Nr:2 from:5 with HSV_V_Bins=8 ###
+2016-03-23 17:17:12,409 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:17:12,410 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:17:31,492 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:17:31,493 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:17:49,110 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 17:17:49,118 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 17:24:39,402 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 17:24:39,407 DEBUG:Start: FeatureExtraction Nr:3 from:5 with HSV_V_Bins=14 ###
+2016-03-23 17:24:43,129 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:24:43,129 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:24:50,992 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:24:50,992 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:25:02,140 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 17:25:02,145 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 17:31:53,642 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 17:31:53,647 DEBUG:Start: FeatureExtraction Nr:4 from:5 with HSV_V_Bins=19 ###
+2016-03-23 17:31:57,196 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:31:57,196 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:32:04,887 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:32:04,887 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:32:15,896 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 17:32:15,901 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 17:40:02,528 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 17:40:02,532 DEBUG:Start: FeatureExtraction Nr:5 from:5 with HSV_V_Bins=25 ###
+2016-03-23 17:40:06,246 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:40:06,246 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:40:14,514 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:40:14,514 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:40:26,339 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 17:40:26,344 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 17:48:04,142 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 17:48:04,149 DEBUG:Done: Feautre Optimisation
+2016-03-23 17:48:04,149 DEBUG:Start: Exporting to CSV
+2016-03-23 17:48:04,167 DEBUG:Done: Exporting to CSV
+2016-03-23 17:48:04,167 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-TotalTime.png
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Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins-TotalTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins.csv b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e684783f8fc872e4a547103a4813d1a1719c7d89
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/HSV-V-2-25-5/2016_03_23-FPO-Caltech-HSV-HSV_V_Bins.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-HSV-Bins_[14, 4, 2]-Norm_Distr;45.5501608849;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";344.266911983;0.297334244703
+1;Caltech-HSV-Bins_[14, 4, 8]-Norm_Distr;46.4840919971;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";410.292086124;0.322898154477
+2;Caltech-HSV-Bins_[14, 4, 14]-Norm_Distr;22.7334821224;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";411.502318144;0.333151059467
+3;Caltech-HSV-Bins_[14, 4, 19]-Norm_Distr;22.2497520447;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";466.631255865;0.338892686261
+4;Caltech-HSV-Bins_[14, 4, 25]-Norm_Distr;23.80686903;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";457.803414822;0.340806561859
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-ClassTime.png
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index 0000000000000000000000000000000000000000..8273515436bb1c42ee5abaf6b72b1887d61fb119
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diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-FeatExtTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..17017a31d0af68600bdcfec073fb5ae532f2eadd
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-FeatExtTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-LOG.log b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..aa8340f732b6200ace7a8a5a1d3467a151ce946c
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-LOG.log
@@ -0,0 +1,29 @@
+2016-03-23 15:10:47,390 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 15:10:47,390 DEBUG:### Optimisation - Feature:RGB Parameter:RGB_Bins from:2 to:25 in #calc:5
+2016-03-23 15:10:47,390 DEBUG:Start: Exportation of images from DB
+2016-03-23 15:11:23,701 DEBUG:Done: Exportation of Images from DB
+2016-03-23 15:11:23,701 DEBUG:Start: Feautre Optimisation
+2016-03-23 15:11:23,702 DEBUG:Start: FeatureExtraction Nr:1 from:5 with RGB_Bins=2 ###
+2016-03-23 15:11:45,787 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 15:11:45,791 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 15:15:05,857 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 15:15:05,863 DEBUG:Start: FeatureExtraction Nr:2 from:5 with RGB_Bins=8 ###
+2016-03-23 15:15:26,322 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 15:15:26,327 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 15:20:55,795 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 15:20:55,800 DEBUG:Start: FeatureExtraction Nr:3 from:5 with RGB_Bins=14 ###
+2016-03-23 15:21:17,321 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 15:21:17,329 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 15:29:36,605 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 15:29:36,609 DEBUG:Start: FeatureExtraction Nr:4 from:5 with RGB_Bins=19 ###
+2016-03-23 15:29:53,220 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 15:29:53,225 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 15:39:40,264 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 15:39:40,270 DEBUG:Start: FeatureExtraction Nr:5 from:5 with RGB_Bins=25 ###
+2016-03-23 15:40:07,559 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 15:40:07,569 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 15:49:36,381 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 15:49:36,385 DEBUG:Done: Feautre Optimisation
+2016-03-23 15:49:36,385 DEBUG:Start: Exporting to CSV
+2016-03-23 15:49:36,390 DEBUG:Done: Exporting to CSV
+2016-03-23 15:49:36,390 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-TotalTime.png
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index 0000000000000000000000000000000000000000..97902ee6bb0e6ee15fc767bcd98cb91c488b60af
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins-TotalTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins.csv b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins.csv
new file mode 100644
index 0000000000000000000000000000000000000000..646c0cfd46ca30ab57534e26627e203a5362d6d7
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-2-25-5/2016_03_23-FPO-Caltech-RGB-RGB_Bins.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-RGB-Bins_2-MaxCI_256-Norm_Distr;22.0853319168;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";200.069512844;0.157484620643
+1;Caltech-RGB-Bins_8-MaxCI_256-Norm_Distr;20.4592759609;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";329.473067999;0.323855092276
+2;Caltech-RGB-Bins_14-MaxCI_256-Norm_Distr;21.521545887;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";499.283357859;0.346958304853
+3;Caltech-RGB-Bins_19-MaxCI_256-Norm_Distr;16.6114828587;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";587.043292046;0.351196172249
+4;Caltech-RGB-Bins_25-MaxCI_256-Norm_Distr;27.2896130085;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";568.821760178;0.353793574846
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-1.csv b/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d2aea3476937485429db7adfb0c69fec4a3283f1
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-1.csv
@@ -0,0 +1,81 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-RGB-Bins_2-MaxCI_256-Norm_Distr;18.1578001976;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";206.784795046;0.155023923445
+1;Caltech-RGB-Bins_7-MaxCI_256-Norm_Distr;18.1346261501;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";359.727123022;0.318523581681
+2;Caltech-RGB-Bins_13-MaxCI_256-Norm_Distr;26.8521690369;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";478.732229948;0.342583732057
+3;Caltech-RGB-Bins_18-MaxCI_256-Norm_Distr;21.5993089676;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";570.878992081;0.348462064252
+4;Caltech-RGB-Bins_24-MaxCI_256-Norm_Distr;17.1904320717;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";610.78657198;0.351196172249
+5;Caltech-RGB-Bins_29-MaxCI_256-Norm_Distr;17.3259348869;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";729.180233002;0.357758031442
+6;Caltech-RGB-Bins_35-MaxCI_256-Norm_Distr;18.1458590031;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";800.788633108;0.355434039645
+7;Caltech-RGB-Bins_40-MaxCI_256-Norm_Distr;28.4543268681;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";869.259665966;0.35980861244
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-ClassTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-LOG-1.log b/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-LOG-1.log
new file mode 100644
index 0000000000000000000000000000000000000000..f6fc8b87319fc67eed5c87723721db46cad7066d
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-LOG-1.log
@@ -0,0 +1,41 @@
+2016-03-23 16:09:53,473 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 16:09:53,473 DEBUG:### Optimisation - Feature:RGB Parameter:RGB_Bins from:2 to:40 in #calc:8
+2016-03-23 16:09:53,473 DEBUG:Start: Exportation of images from DB
+2016-03-23 16:10:27,964 DEBUG:Done: Exportation of Images from DB
+2016-03-23 16:10:27,964 DEBUG:Start: Feautre Optimisation
+2016-03-23 16:10:27,965 DEBUG:Start: FeatureExtraction Nr:1 from:8 with RGB_Bins=2 ###
+2016-03-23 16:10:46,123 DEBUG:Done: FeatureExtraction Nr:1 from:8 ###
+2016-03-23 16:10:46,130 DEBUG:Start: Classification Nr:1 from:8
+2016-03-23 16:14:12,907 DEBUG:Done: Classification Nr:1 from:8
+2016-03-23 16:14:12,911 DEBUG:Start: FeatureExtraction Nr:2 from:8 with RGB_Bins=7 ###
+2016-03-23 16:14:31,046 DEBUG:Done: FeatureExtraction Nr:2 from:8 ###
+2016-03-23 16:14:31,050 DEBUG:Start: Classification Nr:2 from:8
+2016-03-23 16:20:30,773 DEBUG:Done: Classification Nr:2 from:8
+2016-03-23 16:20:30,780 DEBUG:Start: FeatureExtraction Nr:3 from:8 with RGB_Bins=13 ###
+2016-03-23 16:20:57,632 DEBUG:Done: FeatureExtraction Nr:3 from:8 ###
+2016-03-23 16:20:57,640 DEBUG:Start: Classification Nr:3 from:8
+2016-03-23 16:28:56,364 DEBUG:Done: Classification Nr:3 from:8
+2016-03-23 16:28:56,370 DEBUG:Start: FeatureExtraction Nr:4 from:8 with RGB_Bins=18 ###
+2016-03-23 16:29:17,970 DEBUG:Done: FeatureExtraction Nr:4 from:8 ###
+2016-03-23 16:29:17,978 DEBUG:Start: Classification Nr:4 from:8
+2016-03-23 16:38:48,849 DEBUG:Done: Classification Nr:4 from:8
+2016-03-23 16:38:48,853 DEBUG:Start: FeatureExtraction Nr:5 from:8 with RGB_Bins=24 ###
+2016-03-23 16:39:06,044 DEBUG:Done: FeatureExtraction Nr:5 from:8 ###
+2016-03-23 16:39:06,049 DEBUG:Start: Classification Nr:5 from:8
+2016-03-23 16:49:16,831 DEBUG:Done: Classification Nr:5 from:8
+2016-03-23 16:49:16,835 DEBUG:Start: FeatureExtraction Nr:6 from:8 with RGB_Bins=29 ###
+2016-03-23 16:49:34,161 DEBUG:Done: FeatureExtraction Nr:6 from:8 ###
+2016-03-23 16:49:34,166 DEBUG:Start: Classification Nr:6 from:8
+2016-03-23 17:01:43,341 DEBUG:Done: Classification Nr:6 from:8
+2016-03-23 17:01:43,345 DEBUG:Start: FeatureExtraction Nr:7 from:8 with RGB_Bins=35 ###
+2016-03-23 17:02:01,491 DEBUG:Done: FeatureExtraction Nr:7 from:8 ###
+2016-03-23 17:02:01,497 DEBUG:Start: Classification Nr:7 from:8
+2016-03-23 17:15:22,280 DEBUG:Done: Classification Nr:7 from:8
+2016-03-23 17:15:22,286 DEBUG:Start: FeatureExtraction Nr:8 from:8 with RGB_Bins=40 ###
+2016-03-23 17:15:50,740 DEBUG:Done: FeatureExtraction Nr:8 from:8 ###
+2016-03-23 17:15:50,746 DEBUG:Start: Classification Nr:8 from:8
+2016-03-23 17:30:20,000 DEBUG:Done: Classification Nr:8 from:8
+2016-03-23 17:30:20,004 DEBUG:Done: Feautre Optimisation
+2016-03-23 17:30:20,004 DEBUG:Start: Exporting to CSV
+2016-03-23 17:30:20,012 DEBUG:Done: Exporting to CSV
+2016-03-23 17:30:20,012 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-TotalTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-40-8/2016_03_23-FPO-Caltech-RGB-RGB_Bins-TotalTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_01_24-RGB-ClassificationTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_01_24-RGB-ClassificationTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_01_24-RGB-FeatExtractTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_01_24-RGB-FeatExtractTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..e9c4997e2e99ec40902eb16054229a8b11597d52
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diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_01_24-RGB-TotalTime.png b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_01_24-RGB-TotalTime.png
new file mode 100644
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Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_01_24-RGB-TotalTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_03_14-Results-RGB.csv b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_03_14-Results-RGB.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ef483fc0e560cac1d5f860cd218b6b4d5b4b693e
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/2016_03_14-Results-RGB.csv
@@ -0,0 +1,133 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;CT-RGB-Bins_2-MaxCI_256-Norm_Distr;15,6;Classif_RF-CV_5-Trees_150;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";32,555;0,141086
+1;CT-RGB-Bins_8-MaxCI_256-Norm_Distr;16,684;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";47,721;0,290558
+2;CT-RGB-Bins_13-MaxCI_256-Norm_Distr;17,509;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";67,058;0,320817
+3;CT-RGB-Bins_19-MaxCI_256-Norm_Distr;17,27;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";78,202;0,30988
+4;CT-RGB-Bins_25-MaxCI_256-Norm_Distr;17,778;Classif_RF-CV_5-Trees_150;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";88,216;0,312067
+5;CT-RGB-Bins_30-MaxCI_256-Norm_Distr;18,143;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";101,344;0,298214
+6;CT-RGB-Bins_36-MaxCI_256-Norm_Distr;155,248;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";113,97;0,308786
+7;CT-RGB-Bins_41-MaxCI_256-Norm_Distr;219,629;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";122,214;0,322639
+8;CT-RGB-Bins_47-MaxCI_256-Norm_Distr;106,85;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";121,771;0,309151
+9;CT-RGB-Bins_53-MaxCI_256-Norm_Distr;132,835;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";133,272;0,304776
+10;CT-RGB-Bins_58-MaxCI_256-Norm_Distr;147,608;Classif_RF-CV_5-Trees_150;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";139,204;0,315348
+11;CT-RGB-Bins_64-MaxCI_256-Norm_Distr;122,48;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";143,86;0,313161
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/Console-Output.txt b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/Console-Output.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2f9b762a5a3be7c6c139ce80701839e48ae55a33
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-2-64-12/Console-Output.txt
@@ -0,0 +1,117 @@
+### Start of Main Programm for Feature Parameter Optimisation ###
+### Start: Exportation of images from DB ###
+### Done: Exportation of Images from DB ###
+### Optimisation - Feature:RGB Parameter:Bins from:2 to:64 in #calc:12 withCV:True ###
+### Start: Feautre Optimisation ###
+### Start: FeatureExtraction Nr:1 from:12 with:Bins=2.0 ###
+### Done: FeatureExtraction Nr:1 from:12 ###
+### Start: Classification Nr:1 from:12 ###
+### Done: Classification Nr:1 from:12 ###
+### Start: FeatureExtraction Nr:2 from:12 with:Bins=8.0 ###
+### Done: FeatureExtraction Nr:2 from:12 ###
+### Start: Classification Nr:2 from:12 ###
+### Done: Classification Nr:2 from:12 ###
+### Start: FeatureExtraction Nr:3 from:12 with:Bins=13.0 ###
+### Done: FeatureExtraction Nr:3 from:12 ###
+### Start: Classification Nr:3 from:12 ###
+### Done: Classification Nr:3 from:12 ###
+### Start: FeatureExtraction Nr:4 from:12 with:Bins=19.0 ###
+### Done: FeatureExtraction Nr:4 from:12 ###
+### Start: Classification Nr:4 from:12 ###
+### Done: Classification Nr:4 from:12 ###
+### Start: FeatureExtraction Nr:5 from:12 with:Bins=25.0 ###
+### Done: FeatureExtraction Nr:5 from:12 ###
+### Start: Classification Nr:5 from:12 ###
+### Done: Classification Nr:5 from:12 ###
+### Start: FeatureExtraction Nr:6 from:12 with:Bins=30.0 ###
+### Done: FeatureExtraction Nr:6 from:12 ###
+### Start: Classification Nr:6 from:12 ###
+### Done: Classification Nr:6 from:12 ###
+### Start: FeatureExtraction Nr:7 from:12 with:Bins=36.0 ###
+### Done: FeatureExtraction Nr:7 from:12 ###
+### Start: Classification Nr:7 from:12 ###
+### Done: Classification Nr:7 from:12 ###
+### Start: FeatureExtraction Nr:8 from:12 with:Bins=41.0 ###
+### Done: FeatureExtraction Nr:8 from:12 ###
+### Start: Classification Nr:8 from:12 ###
+### Done: Classification Nr:8 from:12 ###
+### Start: FeatureExtraction Nr:9 from:12 with:Bins=47.0 ###
+### Done: FeatureExtraction Nr:9 from:12 ###
+### Start: Classification Nr:9 from:12 ###
+### Done: Classification Nr:9 from:12 ###
+### Start: FeatureExtraction Nr:10 from:12 with:Bins=53.0 ###
+### Done: FeatureExtraction Nr:10 from:12 ###
+### Start: Classification Nr:10 from:12 ###
+### Done: Classification Nr:10 from:12 ###
+### Start: FeatureExtraction Nr:11 from:12 with:Bins=58.0 ###
+### Done: FeatureExtraction Nr:11 from:12 ###
+### Start: Classification Nr:11 from:12 ###
+### Done: Classification Nr:11 from:12 ###
+### Start: FeatureExtraction Nr:12 from:12 with:Bins=64.0 ###
+### Done: FeatureExtraction Nr:12 from:12 ###
+### Start: Classification Nr:12 from:12 ###
+### Done: Classification Nr:12 from:12 ###
+### Done: Feautre Optimisation ###
+### Start: Exporting to CSV ###
+### Done: Exporting to CSV ###
+
+D:\Programme\Anaconda>python.exe D:\BitBucket\multiview-machine-learning-omis\Code\FeatExtraction\ExecFeatParaOpt.py
+### Start of Main Programm for Feature Parameter Optimisation ###
+### Start: Exportation of images from DB ###
+### Done: Exportation of Images from DB ###
+### Optimisation - Feature:RGB Parameter:Bins from:2 to:64 in #calc:12 withCV:True ###
+### Start: Feautre Optimisation ###
+### Start: FeatureExtraction Nr:1 from:12 with:Bins=2.0 ###
+### Done: FeatureExtraction Nr:1 from:12 ###
+### Start: Classification Nr:1 from:12 ###
+D:\Programme\Anaconda\lib\site-packages\sklearn\cross_validation.py:417: Warning: The least populated class in y has only 4 member
+s, which is too few. The minimum number of labels for any class cannot be less than n_folds=5.
+ % (min_labels, self.n_folds)), Warning)
+### Done: Classification Nr:1 from:12 ###
+### Start: FeatureExtraction Nr:2 from:12 with:Bins=8.0 ###
+### Done: FeatureExtraction Nr:2 from:12 ###
+### Start: Classification Nr:2 from:12 ###
+### Done: Classification Nr:2 from:12 ###
+### Start: FeatureExtraction Nr:3 from:12 with:Bins=13.0 ###
+### Done: FeatureExtraction Nr:3 from:12 ###
+### Start: Classification Nr:3 from:12 ###
+### Done: Classification Nr:3 from:12 ###
+### Start: FeatureExtraction Nr:4 from:12 with:Bins=19.0 ###
+### Done: FeatureExtraction Nr:4 from:12 ###
+### Start: Classification Nr:4 from:12 ###
+### Done: Classification Nr:4 from:12 ###
+### Start: FeatureExtraction Nr:5 from:12 with:Bins=25.0 ###
+### Done: FeatureExtraction Nr:5 from:12 ###
+### Start: Classification Nr:5 from:12 ###
+### Done: Classification Nr:5 from:12 ###
+### Start: FeatureExtraction Nr:6 from:12 with:Bins=30.0 ###
+### Done: FeatureExtraction Nr:6 from:12 ###
+### Start: Classification Nr:6 from:12 ###
+### Done: Classification Nr:6 from:12 ###
+### Start: FeatureExtraction Nr:7 from:12 with:Bins=36.0 ###
+### Done: FeatureExtraction Nr:7 from:12 ###
+### Start: Classification Nr:7 from:12 ###
+### Done: Classification Nr:7 from:12 ###
+### Start: FeatureExtraction Nr:8 from:12 with:Bins=41.0 ###
+### Done: FeatureExtraction Nr:8 from:12 ###
+### Start: Classification Nr:8 from:12 ###
+### Done: Classification Nr:8 from:12 ###
+### Start: FeatureExtraction Nr:9 from:12 with:Bins=47.0 ###
+### Done: FeatureExtraction Nr:9 from:12 ###
+### Start: Classification Nr:9 from:12 ###
+### Done: Classification Nr:9 from:12 ###
+### Start: FeatureExtraction Nr:10 from:12 with:Bins=53.0 ###
+### Done: FeatureExtraction Nr:10 from:12 ###
+### Start: Classification Nr:10 from:12 ###
+### Done: Classification Nr:10 from:12 ###
+### Start: FeatureExtraction Nr:11 from:12 with:Bins=58.0 ###
+### Done: FeatureExtraction Nr:11 from:12 ###
+### Start: Classification Nr:11 from:12 ###
+### Done: Classification Nr:11 from:12 ###
+### Start: FeatureExtraction Nr:12 from:12 with:Bins=64.0 ###
+### Done: FeatureExtraction Nr:12 from:12 ###
+### Start: Classification Nr:12 from:12 ###
+### Done: Classification Nr:12 from:12 ###
+### Done: Feautre Optimisation ###
+### Start: Exporting to CSV ###
+### Done: Exporting to CSV ###
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diff --git a/Code/Niko/Results-FeatParaOpt/RGB-CI-2-512-10/2016_03_23-FPO-Caltech-RGB-RGB_MaxCI-LOG.log b/Code/Niko/Results-FeatParaOpt/RGB-CI-2-512-10/2016_03_23-FPO-Caltech-RGB-RGB_MaxCI-LOG.log
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index 0000000000000000000000000000000000000000..30e8d4055ceb61c648eb359e53d6622922dd2fb4
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-CI-2-512-10/2016_03_23-FPO-Caltech-RGB-RGB_MaxCI-LOG.log
@@ -0,0 +1,12667 @@
+2016-03-23 17:40:42,780 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 17:40:42,780 DEBUG:### Optimisation - Feature:RGB Parameter:RGB_MaxCI from:2 to:512 in #calc:10
+2016-03-23 17:40:42,780 DEBUG:Start: Exportation of images from DB
+2016-03-23 17:41:20,755 DEBUG:Done: Exportation of Images from DB
+2016-03-23 17:41:20,755 DEBUG:Start: Feautre Optimisation
+2016-03-23 17:41:20,755 DEBUG:Start: FeatureExtraction Nr:1 from:10 with RGB_MaxCI=2 ###
+2016-03-23 17:41:20,758 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,758 WARNING:image: ../../Caltech/flamingo/image_0001.jpg
+
+2016-03-23 17:41:20,769 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,769 WARNING:image: ../../Caltech/flamingo/image_0008.jpg
+
+2016-03-23 17:41:20,769 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,769 WARNING:image: ../../Caltech/flamingo/image_0008.jpg
+
+2016-03-23 17:41:20,774 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,774 WARNING:image: ../../Caltech/flamingo/image_0011.jpg
+
+2016-03-23 17:41:20,776 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,776 WARNING:image: ../../Caltech/flamingo/image_0012.jpg
+
+2016-03-23 17:41:20,801 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,801 WARNING:image: ../../Caltech/flamingo/image_0048.jpg
+
+2016-03-23 17:41:20,801 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,801 WARNING:image: ../../Caltech/flamingo/image_0048.jpg
+
+2016-03-23 17:41:20,816 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,816 WARNING:image: ../../Caltech/flamingo/image_0057.jpg
+
+2016-03-23 17:41:20,816 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,816 WARNING:image: ../../Caltech/flamingo/image_0057.jpg
+
+2016-03-23 17:41:20,816 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,816 WARNING:image: ../../Caltech/flamingo/image_0057.jpg
+
+2016-03-23 17:41:20,818 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,818 WARNING:image: ../../Caltech/flamingo/image_0058.jpg
+
+2016-03-23 17:41:20,827 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,827 WARNING:image: ../../Caltech/flamingo/image_0064.jpg
+
+2016-03-23 17:41:20,827 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,827 WARNING:image: ../../Caltech/flamingo/image_0064.jpg
+
+2016-03-23 17:41:20,827 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,827 WARNING:image: ../../Caltech/flamingo/image_0064.jpg
+
+2016-03-23 17:41:20,829 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,829 WARNING:image: ../../Caltech/flamingo/image_0065.jpg
+
+2016-03-23 17:41:20,829 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,829 WARNING:image: ../../Caltech/flamingo/image_0065.jpg
+
+2016-03-23 17:41:20,829 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,829 WARNING:image: ../../Caltech/flamingo/image_0065.jpg
+
+2016-03-23 17:41:20,832 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,833 WARNING:image: ../../Caltech/flamingo/image_0067.jpg
+
+2016-03-23 17:41:20,833 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,833 WARNING:image: ../../Caltech/flamingo/image_0067.jpg
+
+2016-03-23 17:41:20,836 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,836 WARNING:image: ../../Caltech/flamingo/image_0024.jpg
+
+2016-03-23 17:41:20,837 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,837 WARNING:image: ../../Caltech/flamingo/image_0025.jpg
+
+2016-03-23 17:41:20,839 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,839 WARNING:image: ../../Caltech/flamingo/image_0026.jpg
+
+2016-03-23 17:41:20,845 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,845 WARNING:image: ../../Caltech/flamingo/image_0029.jpg
+
+2016-03-23 17:41:20,856 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,856 WARNING:image: ../../Caltech/flamingo/image_0035.jpg
+
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+
+2016-03-23 17:41:20,859 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,859 WARNING:image: ../../Caltech/flamingo/image_0037.jpg
+
+2016-03-23 17:41:20,862 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,862 WARNING:image: ../../Caltech/flamingo/image_0039.jpg
+
+2016-03-23 17:41:20,862 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,863 WARNING:image: ../../Caltech/flamingo/image_0039.jpg
+
+2016-03-23 17:41:20,863 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,863 WARNING:image: ../../Caltech/flamingo/image_0039.jpg
+
+2016-03-23 17:41:20,869 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,869 WARNING:image: ../../Caltech/flamingo/image_0043.jpg
+
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+
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+
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+
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+
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+
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+
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+
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+
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+2016-03-23 17:41:20,895 WARNING:image: ../../Caltech/dolphin/image_0017.jpg
+
+2016-03-23 17:41:20,895 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:20,947 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:20,948 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:20,950 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:20,951 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+2016-03-23 17:41:20,952 WARNING:image: ../../Caltech/dolphin/image_0034.jpg
+
+2016-03-23 17:41:20,952 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,952 WARNING:image: ../../Caltech/dolphin/image_0034.jpg
+
+2016-03-23 17:41:20,952 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,952 WARNING:image: ../../Caltech/dolphin/image_0034.jpg
+
+2016-03-23 17:41:20,955 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:20,957 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:20,958 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:20,960 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,960 WARNING:image: ../../Caltech/dolphin/image_0061.jpg
+
+2016-03-23 17:41:20,961 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,961 WARNING:image: ../../Caltech/dolphin/image_0061.jpg
+
+2016-03-23 17:41:20,962 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,962 WARNING:image: ../../Caltech/dolphin/image_0062.jpg
+
+2016-03-23 17:41:20,962 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,962 WARNING:image: ../../Caltech/dolphin/image_0062.jpg
+
+2016-03-23 17:41:20,962 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,962 WARNING:image: ../../Caltech/dolphin/image_0062.jpg
+
+2016-03-23 17:41:20,966 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,967 WARNING:image: ../../Caltech/dolphin/image_0065.jpg
+
+2016-03-23 17:41:20,995 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,995 WARNING:image: ../../Caltech/garfield/image_0012.jpg
+
+2016-03-23 17:41:20,997 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,997 WARNING:image: ../../Caltech/garfield/image_0013.jpg
+
+2016-03-23 17:41:20,999 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:20,999 WARNING:image: ../../Caltech/garfield/image_0014.jpg
+
+2016-03-23 17:41:21,005 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,005 WARNING:image: ../../Caltech/garfield/image_0018.jpg
+
+2016-03-23 17:41:21,005 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,005 WARNING:image: ../../Caltech/garfield/image_0018.jpg
+
+2016-03-23 17:41:21,028 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,028 WARNING:image: ../../Caltech/emu/image_0001.jpg
+
+2016-03-23 17:41:21,043 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,043 WARNING:image: ../../Caltech/emu/image_0009.jpg
+
+2016-03-23 17:41:21,043 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,045 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,045 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,051 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,051 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,053 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,053 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,053 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,062 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,064 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,065 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,069 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,077 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,082 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,084 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,084 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,094 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,098 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,098 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,098 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,098 WARNING:image: ../../Caltech/emu/image_0039.jpg
+
+2016-03-23 17:41:21,102 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,102 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,102 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,108 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,108 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,122 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,122 WARNING:image: ../../Caltech/emu/image_0052.jpg
+
+2016-03-23 17:41:21,123 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,123 WARNING:image: ../../Caltech/emu/image_0052.jpg
+
+2016-03-23 17:41:21,123 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,123 WARNING:image: ../../Caltech/emu/image_0052.jpg
+
+2016-03-23 17:41:21,124 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,124 WARNING:image: ../../Caltech/emu/image_0053.jpg
+
+2016-03-23 17:41:21,130 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,130 WARNING:image: ../../Caltech/scorpion/image_0001.jpg
+
+2016-03-23 17:41:21,137 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,137 WARNING:image: ../../Caltech/scorpion/image_0005.jpg
+
+2016-03-23 17:41:21,139 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,139 WARNING:image: ../../Caltech/scorpion/image_0006.jpg
+
+2016-03-23 17:41:21,142 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,142 WARNING:image: ../../Caltech/scorpion/image_0008.jpg
+
+2016-03-23 17:41:21,147 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,147 WARNING:image: ../../Caltech/scorpion/image_0011.jpg
+
+2016-03-23 17:41:21,150 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,150 WARNING:image: ../../Caltech/scorpion/image_0013.jpg
+
+2016-03-23 17:41:21,155 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,155 WARNING:image: ../../Caltech/scorpion/image_0016.jpg
+
+2016-03-23 17:41:21,156 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,156 WARNING:image: ../../Caltech/scorpion/image_0017.jpg
+
+2016-03-23 17:41:21,159 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,159 WARNING:image: ../../Caltech/scorpion/image_0018.jpg
+
+2016-03-23 17:41:21,161 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,161 WARNING:image: ../../Caltech/scorpion/image_0019.jpg
+
+2016-03-23 17:41:21,162 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,162 WARNING:image: ../../Caltech/scorpion/image_0020.jpg
+
+2016-03-23 17:41:21,163 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,163 WARNING:image: ../../Caltech/scorpion/image_0020.jpg
+
+2016-03-23 17:41:21,164 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,164 WARNING:image: ../../Caltech/scorpion/image_0042.jpg
+
+2016-03-23 17:41:21,164 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,164 WARNING:image: ../../Caltech/scorpion/image_0042.jpg
+
+2016-03-23 17:41:21,164 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,165 WARNING:image: ../../Caltech/scorpion/image_0042.jpg
+
+2016-03-23 17:41:21,167 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,167 WARNING:image: ../../Caltech/scorpion/image_0044.jpg
+
+2016-03-23 17:41:21,167 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,168 WARNING:image: ../../Caltech/scorpion/image_0044.jpg
+
+2016-03-23 17:41:21,168 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,168 WARNING:image: ../../Caltech/scorpion/image_0044.jpg
+
+2016-03-23 17:41:21,169 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,169 WARNING:image: ../../Caltech/scorpion/image_0045.jpg
+
+2016-03-23 17:41:21,172 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,172 WARNING:image: ../../Caltech/scorpion/image_0047.jpg
+
+2016-03-23 17:41:21,172 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,172 WARNING:image: ../../Caltech/scorpion/image_0047.jpg
+
+2016-03-23 17:41:21,174 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,174 WARNING:image: ../../Caltech/scorpion/image_0048.jpg
+
+2016-03-23 17:41:21,182 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,182 WARNING:image: ../../Caltech/scorpion/image_0052.jpg
+
+2016-03-23 17:41:21,182 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,182 WARNING:image: ../../Caltech/scorpion/image_0052.jpg
+
+2016-03-23 17:41:21,185 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,185 WARNING:image: ../../Caltech/scorpion/image_0054.jpg
+
+2016-03-23 17:41:21,185 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,185 WARNING:image: ../../Caltech/scorpion/image_0054.jpg
+
+2016-03-23 17:41:21,185 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,186 WARNING:image: ../../Caltech/scorpion/image_0054.jpg
+
+2016-03-23 17:41:21,200 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,200 WARNING:image: ../../Caltech/scorpion/image_0021.jpg
+
+2016-03-23 17:41:21,203 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,203 WARNING:image: ../../Caltech/scorpion/image_0023.jpg
+
+2016-03-23 17:41:21,208 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,208 WARNING:image: ../../Caltech/scorpion/image_0026.jpg
+
+2016-03-23 17:41:21,209 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,209 WARNING:image: ../../Caltech/scorpion/image_0026.jpg
+
+2016-03-23 17:41:21,212 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,212 WARNING:image: ../../Caltech/scorpion/image_0028.jpg
+
+2016-03-23 17:41:21,212 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,212 WARNING:image: ../../Caltech/scorpion/image_0028.jpg
+
+2016-03-23 17:41:21,212 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,212 WARNING:image: ../../Caltech/scorpion/image_0028.jpg
+
+2016-03-23 17:41:21,218 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,218 WARNING:image: ../../Caltech/scorpion/image_0031.jpg
+
+2016-03-23 17:41:21,219 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,219 WARNING:image: ../../Caltech/scorpion/image_0032.jpg
+
+2016-03-23 17:41:21,220 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,220 WARNING:image: ../../Caltech/scorpion/image_0032.jpg
+
+2016-03-23 17:41:21,220 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,220 WARNING:image: ../../Caltech/scorpion/image_0032.jpg
+
+2016-03-23 17:41:21,221 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,221 WARNING:image: ../../Caltech/scorpion/image_0033.jpg
+
+2016-03-23 17:41:21,221 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,221 WARNING:image: ../../Caltech/scorpion/image_0033.jpg
+
+2016-03-23 17:41:21,221 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,221 WARNING:image: ../../Caltech/scorpion/image_0033.jpg
+
+2016-03-23 17:41:21,225 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,225 WARNING:image: ../../Caltech/scorpion/image_0035.jpg
+
+2016-03-23 17:41:21,225 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,225 WARNING:image: ../../Caltech/scorpion/image_0035.jpg
+
+2016-03-23 17:41:21,226 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,226 WARNING:image: ../../Caltech/scorpion/image_0036.jpg
+
+2016-03-23 17:41:21,226 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,226 WARNING:image: ../../Caltech/scorpion/image_0036.jpg
+
+2016-03-23 17:41:21,228 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,228 WARNING:image: ../../Caltech/scorpion/image_0037.jpg
+
+2016-03-23 17:41:21,241 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,241 WARNING:image: ../../Caltech/scorpion/image_0065.jpg
+
+2016-03-23 17:41:21,263 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,263 WARNING:image: ../../Caltech/scorpion/image_0079.jpg
+
+2016-03-23 17:41:21,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,272 WARNING:image: ../../Caltech/bonsai/image_0002.jpg
+
+2016-03-23 17:41:21,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,272 WARNING:image: ../../Caltech/bonsai/image_0002.jpg
+
+2016-03-23 17:41:21,279 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,279 WARNING:image: ../../Caltech/bonsai/image_0006.jpg
+
+2016-03-23 17:41:21,279 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,279 WARNING:image: ../../Caltech/bonsai/image_0006.jpg
+
+2016-03-23 17:41:21,284 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,284 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,284 WARNING:image: ../../Caltech/bonsai/image_0009.jpg
+
+2016-03-23 17:41:21,287 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,287 WARNING:image: ../../Caltech/bonsai/image_0011.jpg
+
+2016-03-23 17:41:21,310 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,311 WARNING:image: ../../Caltech/bonsai/image_0107.jpg
+
+2016-03-23 17:41:21,320 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,331 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,332 WARNING:image: ../../Caltech/bonsai/image_0118.jpg
+
+2016-03-23 17:41:21,333 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,337 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,337 WARNING:image: ../../Caltech/bonsai/image_0121.jpg
+
+2016-03-23 17:41:21,337 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,337 WARNING:image: ../../Caltech/bonsai/image_0121.jpg
+
+2016-03-23 17:41:21,345 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,345 WARNING:image: ../../Caltech/bonsai/image_0023.jpg
+
+2016-03-23 17:41:21,346 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,346 WARNING:image: ../../Caltech/bonsai/image_0023.jpg
+
+2016-03-23 17:41:21,346 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,362 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,363 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,378 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,379 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,395 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,395 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,419 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,426 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,426 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,426 WARNING:image: ../../Caltech/bonsai/image_0043.jpg
+
+2016-03-23 17:41:21,426 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,455 WARNING:image: ../../Caltech/bonsai/image_0059.jpg
+
+2016-03-23 17:41:21,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,455 WARNING:image: ../../Caltech/bonsai/image_0059.jpg
+
+2016-03-23 17:41:21,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,459 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,459 WARNING:image: ../../Caltech/bonsai/image_0061.jpg
+
+2016-03-23 17:41:21,464 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,464 WARNING:image: ../../Caltech/bonsai/image_0084.jpg
+
+2016-03-23 17:41:21,479 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,479 WARNING:image: ../../Caltech/bonsai/image_0092.jpg
+
+2016-03-23 17:41:21,486 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,487 WARNING:image: ../../Caltech/bonsai/image_0096.jpg
+
+2016-03-23 17:41:21,494 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,494 WARNING:image: ../../Caltech/bonsai/image_0100.jpg
+
+2016-03-23 17:41:21,494 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,494 WARNING:image: ../../Caltech/bonsai/image_0100.jpg
+
+2016-03-23 17:41:21,509 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,510 WARNING:image: ../../Caltech/headphone/image_0006.jpg
+
+2016-03-23 17:41:21,520 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,520 WARNING:image: ../../Caltech/headphone/image_0012.jpg
+
+2016-03-23 17:41:21,520 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,520 WARNING:image: ../../Caltech/headphone/image_0012.jpg
+
+2016-03-23 17:41:21,520 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,520 WARNING:image: ../../Caltech/headphone/image_0012.jpg
+
+2016-03-23 17:41:21,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,545 WARNING:image: ../../Caltech/headphone/image_0025.jpg
+
+2016-03-23 17:41:21,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,546 WARNING:image: ../../Caltech/headphone/image_0025.jpg
+
+2016-03-23 17:41:21,547 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,547 WARNING:image: ../../Caltech/headphone/image_0026.jpg
+
+2016-03-23 17:41:21,551 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,551 WARNING:image: ../../Caltech/headphone/image_0028.jpg
+
+2016-03-23 17:41:21,551 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,551 WARNING:image: ../../Caltech/headphone/image_0028.jpg
+
+2016-03-23 17:41:21,552 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,552 WARNING:image: ../../Caltech/headphone/image_0028.jpg
+
+2016-03-23 17:41:21,555 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,555 WARNING:image: ../../Caltech/headphone/image_0030.jpg
+
+2016-03-23 17:41:21,557 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,557 WARNING:image: ../../Caltech/headphone/image_0031.jpg
+
+2016-03-23 17:41:21,572 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,572 WARNING:image: ../../Caltech/headphone/image_0039.jpg
+
+2016-03-23 17:41:21,577 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,577 WARNING:image: ../../Caltech/stop_sign/image_0038.jpg
+
+2016-03-23 17:41:21,577 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,577 WARNING:image: ../../Caltech/stop_sign/image_0038.jpg
+
+2016-03-23 17:41:21,578 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,578 WARNING:image: ../../Caltech/stop_sign/image_0038.jpg
+
+2016-03-23 17:41:21,582 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,582 WARNING:image: ../../Caltech/stop_sign/image_0040.jpg
+
+2016-03-23 17:41:21,585 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,585 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,586 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,588 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,598 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,607 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,611 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,617 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,618 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,618 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,618 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,620 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,620 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,624 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:21,630 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,634 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,638 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,646 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,660 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,664 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,664 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,664 WARNING:image: ../../Caltech/stop_sign/image_0021.jpg
+
+2016-03-23 17:41:21,666 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,668 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,671 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,672 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,672 WARNING:image: ../../Caltech/stop_sign/image_0025.jpg
+
+2016-03-23 17:41:21,672 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,672 WARNING:image: ../../Caltech/stop_sign/image_0025.jpg
+
+2016-03-23 17:41:21,678 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,678 WARNING:image: ../../Caltech/stop_sign/image_0028.jpg
+
+2016-03-23 17:41:21,686 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,686 WARNING:image: ../../Caltech/stop_sign/image_0033.jpg
+
+2016-03-23 17:41:21,687 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,687 WARNING:image: ../../Caltech/stop_sign/image_0033.jpg
+
+2016-03-23 17:41:21,687 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,687 WARNING:image: ../../Caltech/stop_sign/image_0033.jpg
+
+2016-03-23 17:41:21,689 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,697 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,712 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,713 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,713 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,714 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,718 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,719 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,719 WARNING:image: ../../Caltech/pigeon/image_0013.jpg
+
+2016-03-23 17:41:21,720 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,720 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,721 WARNING:image: ../../Caltech/pigeon/image_0014.jpg
+
+2016-03-23 17:41:21,721 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,721 WARNING:image: ../../Caltech/pigeon/image_0014.jpg
+
+2016-03-23 17:41:21,722 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,722 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,729 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,729 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,731 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,731 WARNING:image: ../../Caltech/pigeon/image_0020.jpg
+
+2016-03-23 17:41:21,731 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,731 WARNING:image: ../../Caltech/pigeon/image_0020.jpg
+
+2016-03-23 17:41:21,740 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,740 WARNING:image: ../../Caltech/pigeon/image_0022.jpg
+
+2016-03-23 17:41:21,747 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,747 WARNING:image: ../../Caltech/pigeon/image_0026.jpg
+
+2016-03-23 17:41:21,748 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,748 WARNING:image: ../../Caltech/pigeon/image_0026.jpg
+
+2016-03-23 17:41:21,756 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
+2016-03-23 17:41:21,769 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,769 WARNING:image: ../../Caltech/pigeon/image_0038.jpg
+
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+
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+
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+
+2016-03-23 17:41:21,792 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:21,796 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,806 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,806 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:21,816 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,816 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,822 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,827 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,832 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,832 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,832 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,845 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:21,847 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,847 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,849 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,849 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:21,868 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,869 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,869 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
+2016-03-23 17:41:21,904 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:21,906 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,913 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,913 WARNING:image: ../../Caltech/barrel/image_0030.jpg
+
+2016-03-23 17:41:21,914 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,914 WARNING:image: ../../Caltech/barrel/image_0031.jpg
+
+2016-03-23 17:41:21,914 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,914 WARNING:image: ../../Caltech/barrel/image_0031.jpg
+
+2016-03-23 17:41:21,914 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:21,927 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,927 WARNING:image: ../../Caltech/barrel/image_0039.jpg
+
+2016-03-23 17:41:21,927 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,927 WARNING:image: ../../Caltech/barrel/image_0039.jpg
+
+2016-03-23 17:41:21,930 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,930 WARNING:image: ../../Caltech/barrel/image_0041.jpg
+
+2016-03-23 17:41:21,930 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,930 WARNING:image: ../../Caltech/barrel/image_0041.jpg
+
+2016-03-23 17:41:21,930 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,930 WARNING:image: ../../Caltech/barrel/image_0041.jpg
+
+2016-03-23 17:41:21,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,931 WARNING:image: ../../Caltech/barrel/image_0042.jpg
+
+2016-03-23 17:41:21,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,931 WARNING:image: ../../Caltech/barrel/image_0042.jpg
+
+2016-03-23 17:41:21,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,931 WARNING:image: ../../Caltech/barrel/image_0042.jpg
+
+2016-03-23 17:41:21,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,933 WARNING:image: ../../Caltech/barrel/image_0043.jpg
+
+2016-03-23 17:41:21,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,933 WARNING:image: ../../Caltech/barrel/image_0043.jpg
+
+2016-03-23 17:41:21,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,933 WARNING:image: ../../Caltech/barrel/image_0043.jpg
+
+2016-03-23 17:41:21,940 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:21,940 WARNING:image: ../../Caltech/barrel/image_0047.jpg
+
+2016-03-23 17:41:21,942 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:23,575 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:23,584 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:23,584 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:23,585 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:23,590 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:23,591 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:23,591 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,006 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,119 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,119 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,121 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,156 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,156 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,369 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,369 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,388 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,388 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,482 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:24,482 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:24,605 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:24,640 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:24,651 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:24,986 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:24,995 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
+2016-03-23 17:41:25,014 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:25,014 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:25,014 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:25,177 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:25,184 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:25,184 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:25,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:25,285 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:25,311 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:25,368 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:25,822 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:25,947 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:25,947 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:25,970 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:25,973 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:26,165 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:26,165 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:26,333 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:26,333 WARNING:image: ../../Caltech/Faces/image_0097.jpg
+
+2016-03-23 17:41:26,343 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:26,343 WARNING:image: ../../Caltech/Faces/image_0099.jpg
+
+2016-03-23 17:41:26,343 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:26,343 WARNING:image: ../../Caltech/Faces/image_0099.jpg
+
+2016-03-23 17:41:26,353 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:26,353 WARNING:image: ../../Caltech/Faces/image_0101.jpg
+
+2016-03-23 17:41:26,354 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:26,354 WARNING:image: ../../Caltech/Faces/image_0101.jpg
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+2016-03-23 17:41:26,364 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,516 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,535 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,566 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,567 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,815 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,822 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,838 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,911 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,936 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,937 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,939 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,967 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,971 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,971 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:26,972 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,020 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,020 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,021 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,040 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,040 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,040 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,044 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,044 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+2016-03-23 17:41:27,189 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,189 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,214 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
+2016-03-23 17:41:27,224 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
+2016-03-23 17:41:27,262 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,267 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,268 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,270 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,271 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,275 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,275 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,278 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,279 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,281 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,281 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,305 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,305 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,308 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,308 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,309 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,309 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,314 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,314 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,360 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,499 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,500 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,501 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,513 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,518 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,533 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,533 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,535 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,535 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,547 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,547 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,549 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,549 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,569 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:27,578 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,579 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,582 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,582 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,582 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:27,589 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,589 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,644 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,646 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,646 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:27,800 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,800 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:27,821 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:27,823 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,831 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:27,831 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:28,320 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,320 WARNING:image: ../../Caltech/sea_horse/image_0025.jpg
+
+2016-03-23 17:41:28,320 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,320 WARNING:image: ../../Caltech/sea_horse/image_0025.jpg
+
+2016-03-23 17:41:28,320 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,320 WARNING:image: ../../Caltech/sea_horse/image_0025.jpg
+
+2016-03-23 17:41:28,324 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,324 WARNING:image: ../../Caltech/sea_horse/image_0027.jpg
+
+2016-03-23 17:41:28,324 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,324 WARNING:image: ../../Caltech/sea_horse/image_0027.jpg
+
+2016-03-23 17:41:28,325 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,325 WARNING:image: ../../Caltech/sea_horse/image_0028.jpg
+
+2016-03-23 17:41:28,327 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,327 WARNING:image: ../../Caltech/sea_horse/image_0029.jpg
+
+2016-03-23 17:41:28,332 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,332 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,332 WARNING:image: ../../Caltech/sea_horse/image_0032.jpg
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+2016-03-23 17:41:28,332 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,332 WARNING:image: ../../Caltech/sea_horse/image_0032.jpg
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+2016-03-23 17:41:28,338 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,338 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,340 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,343 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,343 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,353 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,353 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,373 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,373 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,425 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,504 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,504 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,528 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,563 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,570 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,577 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,577 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,581 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,581 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,582 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,583 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,584 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,600 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,600 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,601 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+2016-03-23 17:41:28,643 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,717 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:28,719 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:28,719 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+2016-03-23 17:41:28,729 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:28,734 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,734 WARNING:image: ../../Caltech/starfish/image_0086.jpg
+
+2016-03-23 17:41:28,737 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,737 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,738 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,738 WARNING:image: ../../Caltech/starfish/image_0002.jpg
+
+2016-03-23 17:41:28,742 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:28,742 WARNING:image: ../../Caltech/starfish/image_0004.jpg
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+2016-03-23 17:41:28,742 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,743 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,744 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,744 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,766 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,766 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,786 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,786 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,787 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,787 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:28,788 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:29,089 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:29,097 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:29,104 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:29,109 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:29,109 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,109 WARNING:image: ../../Caltech/menorah/image_0084.jpg
+
+2016-03-23 17:41:29,111 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,111 WARNING:image: ../../Caltech/menorah/image_0085.jpg
+
+2016-03-23 17:41:29,111 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,111 WARNING:image: ../../Caltech/menorah/image_0085.jpg
+
+2016-03-23 17:41:29,111 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,111 WARNING:image: ../../Caltech/menorah/image_0085.jpg
+
+2016-03-23 17:41:29,113 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,113 WARNING:image: ../../Caltech/menorah/image_0086.jpg
+
+2016-03-23 17:41:29,120 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,120 WARNING:image: ../../Caltech/menorah/image_0003.jpg
+
+2016-03-23 17:41:29,123 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,124 WARNING:image: ../../Caltech/menorah/image_0005.jpg
+
+2016-03-23 17:41:29,124 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,124 WARNING:image: ../../Caltech/menorah/image_0005.jpg
+
+2016-03-23 17:41:29,125 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,125 WARNING:image: ../../Caltech/menorah/image_0006.jpg
+
+2016-03-23 17:41:29,127 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,127 WARNING:image: ../../Caltech/menorah/image_0007.jpg
+
+2016-03-23 17:41:29,127 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,127 WARNING:image: ../../Caltech/menorah/image_0007.jpg
+
+2016-03-23 17:41:29,127 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,127 WARNING:image: ../../Caltech/menorah/image_0007.jpg
+
+2016-03-23 17:41:29,129 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,129 WARNING:image: ../../Caltech/menorah/image_0008.jpg
+
+2016-03-23 17:41:29,132 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,132 WARNING:image: ../../Caltech/menorah/image_0010.jpg
+
+2016-03-23 17:41:29,149 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,149 WARNING:image: ../../Caltech/menorah/image_0019.jpg
+
+2016-03-23 17:41:29,151 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,151 WARNING:image: ../../Caltech/menorah/image_0041.jpg
+
+2016-03-23 17:41:29,154 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,154 WARNING:image: ../../Caltech/menorah/image_0043.jpg
+
+2016-03-23 17:41:29,154 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,154 WARNING:image: ../../Caltech/menorah/image_0043.jpg
+
+2016-03-23 17:41:29,158 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,158 WARNING:image: ../../Caltech/menorah/image_0046.jpg
+
+2016-03-23 17:41:29,159 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,159 WARNING:image: ../../Caltech/menorah/image_0046.jpg
+
+2016-03-23 17:41:29,162 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,162 WARNING:image: ../../Caltech/menorah/image_0048.jpg
+
+2016-03-23 17:41:29,162 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,162 WARNING:image: ../../Caltech/menorah/image_0048.jpg
+
+2016-03-23 17:41:29,181 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,181 WARNING:image: ../../Caltech/menorah/image_0058.jpg
+
+2016-03-23 17:41:29,181 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,181 WARNING:image: ../../Caltech/menorah/image_0058.jpg
+
+2016-03-23 17:41:29,182 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,182 WARNING:image: ../../Caltech/menorah/image_0059.jpg
+
+2016-03-23 17:41:29,182 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,182 WARNING:image: ../../Caltech/menorah/image_0059.jpg
+
+2016-03-23 17:41:29,182 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,182 WARNING:image: ../../Caltech/menorah/image_0059.jpg
+
+2016-03-23 17:41:29,188 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,188 WARNING:image: ../../Caltech/menorah/image_0062.jpg
+
+2016-03-23 17:41:29,188 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,188 WARNING:image: ../../Caltech/menorah/image_0062.jpg
+
+2016-03-23 17:41:29,200 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,200 WARNING:image: ../../Caltech/menorah/image_0069.jpg
+
+2016-03-23 17:41:29,201 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,201 WARNING:image: ../../Caltech/menorah/image_0069.jpg
+
+2016-03-23 17:41:29,201 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,201 WARNING:image: ../../Caltech/menorah/image_0069.jpg
+
+2016-03-23 17:41:29,205 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,206 WARNING:image: ../../Caltech/menorah/image_0072.jpg
+
+2016-03-23 17:41:29,206 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,206 WARNING:image: ../../Caltech/menorah/image_0072.jpg
+
+2016-03-23 17:41:29,209 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,209 WARNING:image: ../../Caltech/menorah/image_0074.jpg
+
+2016-03-23 17:41:29,209 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,210 WARNING:image: ../../Caltech/menorah/image_0074.jpg
+
+2016-03-23 17:41:29,214 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,214 WARNING:image: ../../Caltech/menorah/image_0076.jpg
+
+2016-03-23 17:41:29,215 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,215 WARNING:image: ../../Caltech/menorah/image_0077.jpg
+
+2016-03-23 17:41:29,216 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,216 WARNING:image: ../../Caltech/menorah/image_0077.jpg
+
+2016-03-23 17:41:29,221 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,221 WARNING:image: ../../Caltech/menorah/image_0080.jpg
+
+2016-03-23 17:41:29,221 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,221 WARNING:image: ../../Caltech/menorah/image_0080.jpg
+
+2016-03-23 17:41:29,226 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,226 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:41:29,226 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,226 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:41:29,226 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,226 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:41:29,232 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,232 WARNING:image: ../../Caltech/menorah/image_0026.jpg
+
+2016-03-23 17:41:29,249 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,249 WARNING:image: ../../Caltech/menorah/image_0036.jpg
+
+2016-03-23 17:41:29,250 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,250 WARNING:image: ../../Caltech/menorah/image_0036.jpg
+
+2016-03-23 17:41:29,252 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,252 WARNING:image: ../../Caltech/menorah/image_0037.jpg
+
+2016-03-23 17:41:29,255 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,255 WARNING:image: ../../Caltech/menorah/image_0039.jpg
+
+2016-03-23 17:41:29,255 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,255 WARNING:image: ../../Caltech/menorah/image_0039.jpg
+
+2016-03-23 17:41:29,255 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,255 WARNING:image: ../../Caltech/menorah/image_0039.jpg
+
+2016-03-23 17:41:29,260 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,260 WARNING:image: ../../Caltech/beaver/image_0041.jpg
+
+2016-03-23 17:41:29,262 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,262 WARNING:image: ../../Caltech/beaver/image_0042.jpg
+
+2016-03-23 17:41:29,262 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,262 WARNING:image: ../../Caltech/beaver/image_0042.jpg
+
+2016-03-23 17:41:29,266 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,266 WARNING:image: ../../Caltech/beaver/image_0045.jpg
+
+2016-03-23 17:41:29,266 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,266 WARNING:image: ../../Caltech/beaver/image_0045.jpg
+
+2016-03-23 17:41:29,273 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,273 WARNING:image: ../../Caltech/beaver/image_0003.jpg
+
+2016-03-23 17:41:29,277 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,277 WARNING:image: ../../Caltech/beaver/image_0005.jpg
+
+2016-03-23 17:41:29,285 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,285 WARNING:image: ../../Caltech/beaver/image_0010.jpg
+
+2016-03-23 17:41:29,285 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,285 WARNING:image: ../../Caltech/beaver/image_0010.jpg
+
+2016-03-23 17:41:29,293 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,294 WARNING:image: ../../Caltech/beaver/image_0015.jpg
+
+2016-03-23 17:41:29,307 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,307 WARNING:image: ../../Caltech/beaver/image_0023.jpg
+
+2016-03-23 17:41:29,310 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,310 WARNING:image: ../../Caltech/beaver/image_0025.jpg
+
+2016-03-23 17:41:29,310 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,310 WARNING:image: ../../Caltech/beaver/image_0025.jpg
+
+2016-03-23 17:41:29,310 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,310 WARNING:image: ../../Caltech/beaver/image_0025.jpg
+
+2016-03-23 17:41:29,312 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,312 WARNING:image: ../../Caltech/beaver/image_0026.jpg
+
+2016-03-23 17:41:29,313 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,313 WARNING:image: ../../Caltech/beaver/image_0027.jpg
+
+2016-03-23 17:41:29,313 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,313 WARNING:image: ../../Caltech/beaver/image_0027.jpg
+
+2016-03-23 17:41:29,315 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,315 WARNING:image: ../../Caltech/beaver/image_0028.jpg
+
+2016-03-23 17:41:29,315 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,315 WARNING:image: ../../Caltech/beaver/image_0028.jpg
+
+2016-03-23 17:41:29,317 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,317 WARNING:image: ../../Caltech/beaver/image_0029.jpg
+
+2016-03-23 17:41:29,317 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,317 WARNING:image: ../../Caltech/beaver/image_0029.jpg
+
+2016-03-23 17:41:29,317 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,317 WARNING:image: ../../Caltech/beaver/image_0029.jpg
+
+2016-03-23 17:41:29,327 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,327 WARNING:image: ../../Caltech/beaver/image_0035.jpg
+
+2016-03-23 17:41:29,330 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,330 WARNING:image: ../../Caltech/beaver/image_0037.jpg
+
+2016-03-23 17:41:29,330 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,330 WARNING:image: ../../Caltech/beaver/image_0037.jpg
+
+2016-03-23 17:41:29,332 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,332 WARNING:image: ../../Caltech/beaver/image_0039.jpg
+
+2016-03-23 17:41:29,339 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,339 WARNING:image: ../../Caltech/saxophone/image_0035.jpg
+
+2016-03-23 17:41:29,345 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,345 WARNING:image: ../../Caltech/saxophone/image_0038.jpg
+
+2016-03-23 17:41:29,355 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,355 WARNING:image: ../../Caltech/saxophone/image_0004.jpg
+
+2016-03-23 17:41:29,355 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,355 WARNING:image: ../../Caltech/saxophone/image_0004.jpg
+
+2016-03-23 17:41:29,357 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,357 WARNING:image: ../../Caltech/saxophone/image_0006.jpg
+
+2016-03-23 17:41:29,379 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,379 WARNING:image: ../../Caltech/saxophone/image_0020.jpg
+
+2016-03-23 17:41:29,384 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,384 WARNING:image: ../../Caltech/saxophone/image_0024.jpg
+
+2016-03-23 17:41:29,390 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,390 WARNING:image: ../../Caltech/saxophone/image_0028.jpg
+
+2016-03-23 17:41:29,500 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,500 WARNING:image: ../../Caltech/butterfly/image_0050.jpg
+
+2016-03-23 17:41:29,500 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,500 WARNING:image: ../../Caltech/butterfly/image_0050.jpg
+
+2016-03-23 17:41:29,518 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,518 WARNING:image: ../../Caltech/butterfly/image_0026.jpg
+
+2016-03-23 17:41:29,531 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,531 WARNING:image: ../../Caltech/butterfly/image_0034.jpg
+
+2016-03-23 17:41:29,531 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,531 WARNING:image: ../../Caltech/butterfly/image_0034.jpg
+
+2016-03-23 17:41:29,534 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,534 WARNING:image: ../../Caltech/butterfly/image_0036.jpg
+
+2016-03-23 17:41:29,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,545 WARNING:image: ../../Caltech/butterfly/image_0042.jpg
+
+2016-03-23 17:41:29,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,545 WARNING:image: ../../Caltech/butterfly/image_0042.jpg
+
+2016-03-23 17:41:29,545 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,545 WARNING:image: ../../Caltech/butterfly/image_0042.jpg
+
+2016-03-23 17:41:29,548 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,548 WARNING:image: ../../Caltech/butterfly/image_0044.jpg
+
+2016-03-23 17:41:29,559 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,559 WARNING:image: ../../Caltech/butterfly/image_0079.jpg
+
+2016-03-23 17:41:29,571 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,571 WARNING:image: ../../Caltech/butterfly/image_0086.jpg
+
+2016-03-23 17:41:29,571 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,571 WARNING:image: ../../Caltech/butterfly/image_0086.jpg
+
+2016-03-23 17:41:29,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,593 WARNING:image: ../../Caltech/butterfly/image_0061.jpg
+
+2016-03-23 17:41:29,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,593 WARNING:image: ../../Caltech/butterfly/image_0061.jpg
+
+2016-03-23 17:41:29,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,594 WARNING:image: ../../Caltech/butterfly/image_0061.jpg
+
+2016-03-23 17:41:29,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,595 WARNING:image: ../../Caltech/butterfly/image_0062.jpg
+
+2016-03-23 17:41:29,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:29,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,595 WARNING:image: ../../Caltech/butterfly/image_0062.jpg
+
+2016-03-23 17:41:29,599 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,599 WARNING:image: ../../Caltech/butterfly/image_0064.jpg
+
+2016-03-23 17:41:29,628 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,628 WARNING:image: ../../Caltech/butterfly/image_0012.jpg
+
+2016-03-23 17:41:29,635 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,635 WARNING:image: ../../Caltech/butterfly/image_0016.jpg
+
+2016-03-23 17:41:29,647 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,647 WARNING:image: ../../Caltech/butterfly/image_0023.jpg
+
+2016-03-23 17:41:29,648 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,648 WARNING:image: ../../Caltech/butterfly/image_0023.jpg
+
+2016-03-23 17:41:29,651 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,651 WARNING:image: ../../Caltech/chair/image_0018.jpg
+
+2016-03-23 17:41:29,651 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,651 WARNING:image: ../../Caltech/chair/image_0018.jpg
+
+2016-03-23 17:41:29,651 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,651 WARNING:image: ../../Caltech/chair/image_0018.jpg
+
+2016-03-23 17:41:29,660 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,660 WARNING:image: ../../Caltech/chair/image_0024.jpg
+
+2016-03-23 17:41:29,660 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,661 WARNING:image: ../../Caltech/chair/image_0024.jpg
+
+2016-03-23 17:41:29,662 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,662 WARNING:image: ../../Caltech/chair/image_0025.jpg
+
+2016-03-23 17:41:29,662 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,662 WARNING:image: ../../Caltech/chair/image_0025.jpg
+
+2016-03-23 17:41:29,662 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,662 WARNING:image: ../../Caltech/chair/image_0025.jpg
+
+2016-03-23 17:41:29,668 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,668 WARNING:image: ../../Caltech/chair/image_0029.jpg
+
+2016-03-23 17:41:29,677 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,677 WARNING:image: ../../Caltech/chair/image_0055.jpg
+
+2016-03-23 17:41:29,689 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,689 WARNING:image: ../../Caltech/chair/image_0062.jpg
+
+2016-03-23 17:41:29,690 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,690 WARNING:image: ../../Caltech/chair/image_0034.jpg
+
+2016-03-23 17:41:29,690 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,690 WARNING:image: ../../Caltech/chair/image_0034.jpg
+
+2016-03-23 17:41:29,697 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:29,697 WARNING:image: ../../Caltech/chair/image_0038.jpg
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+2016-03-23 17:41:29,697 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,593 WARNING:image: ../../Caltech/joshua_tree/image_0063.jpg
+
+2016-03-23 17:41:30,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,593 WARNING:image: ../../Caltech/joshua_tree/image_0063.jpg
+
+2016-03-23 17:41:30,622 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,622 WARNING:image: ../../Caltech/joshua_tree/image_0034.jpg
+
+2016-03-23 17:41:30,627 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,627 WARNING:image: ../../Caltech/joshua_tree/image_0037.jpg
+
+2016-03-23 17:41:30,627 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,627 WARNING:image: ../../Caltech/joshua_tree/image_0037.jpg
+
+2016-03-23 17:41:30,643 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,643 WARNING:image: ../../Caltech/joshua_tree/image_0008.jpg
+
+2016-03-23 17:41:30,651 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,651 WARNING:image: ../../Caltech/joshua_tree/image_0013.jpg
+
+2016-03-23 17:41:30,651 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,651 WARNING:image: ../../Caltech/joshua_tree/image_0013.jpg
+
+2016-03-23 17:41:30,652 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,652 WARNING:image: ../../Caltech/joshua_tree/image_0013.jpg
+
+2016-03-23 17:41:30,658 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,658 WARNING:image: ../../Caltech/joshua_tree/image_0017.jpg
+
+2016-03-23 17:41:30,658 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,658 WARNING:image: ../../Caltech/joshua_tree/image_0017.jpg
+
+2016-03-23 17:41:30,663 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,663 WARNING:image: ../../Caltech/joshua_tree/image_0040.jpg
+
+2016-03-23 17:41:30,680 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,680 WARNING:image: ../../Caltech/joshua_tree/image_0050.jpg
+
+2016-03-23 17:41:30,689 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,689 WARNING:image: ../../Caltech/joshua_tree/image_0055.jpg
+
+2016-03-23 17:41:30,689 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,689 WARNING:image: ../../Caltech/joshua_tree/image_0055.jpg
+
+2016-03-23 17:41:30,697 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,699 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,699 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,711 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,712 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,716 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,719 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,719 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,719 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,719 WARNING:image: ../../Caltech/llama/image_0033.jpg
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+2016-03-23 17:41:30,726 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,728 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,729 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,729 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,736 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,736 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,736 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,736 WARNING:image: ../../Caltech/llama/image_0001.jpg
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+2016-03-23 17:41:30,743 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,751 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,751 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,752 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,758 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,758 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,758 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,762 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,776 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,776 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,783 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,783 WARNING:image: ../../Caltech/llama/image_0064.jpg
+
+2016-03-23 17:41:30,787 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,787 WARNING:image: ../../Caltech/llama/image_0066.jpg
+
+2016-03-23 17:41:30,797 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,798 WARNING:image: ../../Caltech/llama/image_0072.jpg
+
+2016-03-23 17:41:30,798 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,798 WARNING:image: ../../Caltech/llama/image_0072.jpg
+
+2016-03-23 17:41:30,798 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,813 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:30,813 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,814 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,815 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,815 WARNING:image: ../../Caltech/llama/image_0046.jpg
+
+2016-03-23 17:41:30,819 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,819 WARNING:image: ../../Caltech/llama/image_0048.jpg
+
+2016-03-23 17:41:30,819 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,819 WARNING:image: ../../Caltech/llama/image_0048.jpg
+
+2016-03-23 17:41:30,819 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,819 WARNING:image: ../../Caltech/llama/image_0048.jpg
+
+2016-03-23 17:41:30,821 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,821 WARNING:image: ../../Caltech/llama/image_0049.jpg
+
+2016-03-23 17:41:30,834 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,834 WARNING:image: ../../Caltech/lamp/image_0061.jpg
+
+2016-03-23 17:41:30,834 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,834 WARNING:image: ../../Caltech/lamp/image_0061.jpg
+
+2016-03-23 17:41:30,834 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,834 WARNING:image: ../../Caltech/lamp/image_0061.jpg
+
+2016-03-23 17:41:30,839 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,840 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,840 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:30,844 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,845 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,845 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,845 WARNING:image: ../../Caltech/lamp/image_0007.jpg
+
+2016-03-23 17:41:30,847 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:30,853 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:30,862 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,862 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,867 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,869 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,870 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,870 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
+2016-03-23 17:41:30,886 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,895 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:30,897 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,910 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,910 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,913 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,913 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,914 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,916 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,919 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,919 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,921 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,921 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,923 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,937 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:30,941 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,944 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,946 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,950 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:30,955 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,955 WARNING:image: ../../Caltech/chandelier/image_0095.jpg
+
+2016-03-23 17:41:30,961 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,961 WARNING:image: ../../Caltech/chandelier/image_0098.jpg
+
+2016-03-23 17:41:30,963 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,964 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:30,983 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,983 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,983 WARNING:image: ../../Caltech/chandelier/image_0045.jpg
+
+2016-03-23 17:41:30,983 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,983 WARNING:image: ../../Caltech/chandelier/image_0045.jpg
+
+2016-03-23 17:41:30,992 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:30,999 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:30,999 WARNING:image: ../../Caltech/chandelier/image_0054.jpg
+
+2016-03-23 17:41:31,001 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,001 WARNING:image: ../../Caltech/chandelier/image_0055.jpg
+
+2016-03-23 17:41:31,002 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,002 WARNING:image: ../../Caltech/chandelier/image_0056.jpg
+
+2016-03-23 17:41:31,002 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,002 WARNING:image: ../../Caltech/chandelier/image_0056.jpg
+
+2016-03-23 17:41:31,004 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,027 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,034 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,034 WARNING:image: ../../Caltech/chandelier/image_0013.jpg
+
+2016-03-23 17:41:31,035 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,045 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,045 WARNING:image: ../../Caltech/chandelier/image_0019.jpg
+
+2016-03-23 17:41:31,048 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,048 WARNING:image: ../../Caltech/chandelier/image_0062.jpg
+
+2016-03-23 17:41:31,050 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,050 WARNING:image: ../../Caltech/chandelier/image_0063.jpg
+
+2016-03-23 17:41:31,058 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,059 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,061 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,061 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,066 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,066 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,066 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,067 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,068 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,069 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,069 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,109 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,113 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,132 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,132 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,139 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,145 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,145 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,152 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,164 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,164 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,166 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,171 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,171 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,171 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,195 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,195 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,196 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,216 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,219 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:31,225 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,234 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,234 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,236 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+2016-03-23 17:41:31,254 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,271 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,322 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,322 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,357 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,361 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,387 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,387 WARNING:image: ../../Caltech/gerenuk/image_0021.jpg
+
+2016-03-23 17:41:31,401 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,401 WARNING:image: ../../Caltech/gerenuk/image_0029.jpg
+
+2016-03-23 17:41:31,401 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,401 WARNING:image: ../../Caltech/gerenuk/image_0029.jpg
+
+2016-03-23 17:41:31,401 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,401 WARNING:image: ../../Caltech/gerenuk/image_0029.jpg
+
+2016-03-23 17:41:31,403 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,403 WARNING:image: ../../Caltech/gerenuk/image_0030.jpg
+
+2016-03-23 17:41:31,403 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,403 WARNING:image: ../../Caltech/gerenuk/image_0030.jpg
+
+2016-03-23 17:41:31,403 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,403 WARNING:image: ../../Caltech/gerenuk/image_0030.jpg
+
+2016-03-23 17:41:31,405 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,407 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,407 WARNING:image: ../../Caltech/gerenuk/image_0033.jpg
+
+2016-03-23 17:41:31,408 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,410 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,410 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,414 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,416 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,420 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,420 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,420 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,424 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,425 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,432 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,436 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,438 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,440 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,453 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,453 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,453 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,469 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,477 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,480 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,484 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,503 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,503 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,505 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,533 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,563 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,567 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,567 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,579 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,579 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,586 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,586 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:31,688 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,689 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:31,719 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+2016-03-23 17:41:31,733 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,786 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,788 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,829 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,834 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,899 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:31,899 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,905 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,905 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,916 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,916 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,947 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,947 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,947 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,966 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:31,982 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,982 WARNING:image: ../../Caltech/wheelchair/image_0044.jpg
+
+2016-03-23 17:41:31,982 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:31,982 WARNING:image: ../../Caltech/wheelchair/image_0044.jpg
+
+2016-03-23 17:41:31,982 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,004 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,005 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,005 WARNING:image: ../../Caltech/wheelchair/image_0011.jpg
+
+2016-03-23 17:41:32,005 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,016 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,016 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,016 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,038 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,038 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,038 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:32,042 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,042 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,042 WARNING:image: ../../Caltech/wheelchair/image_0047.jpg
+
+2016-03-23 17:41:32,045 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,045 WARNING:image: ../../Caltech/wheelchair/image_0049.jpg
+
+2016-03-23 17:41:32,060 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,060 WARNING:image: ../../Caltech/wheelchair/image_0057.jpg
+
+2016-03-23 17:41:32,060 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,060 WARNING:image: ../../Caltech/wheelchair/image_0057.jpg
+
+2016-03-23 17:41:32,060 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,060 WARNING:image: ../../Caltech/wheelchair/image_0057.jpg
+
+2016-03-23 17:41:32,062 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,062 WARNING:image: ../../Caltech/wheelchair/image_0058.jpg
+
+2016-03-23 17:41:32,088 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,088 WARNING:image: ../../Caltech/binocular/image_0014.jpg
+
+2016-03-23 17:41:32,096 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,096 WARNING:image: ../../Caltech/binocular/image_0019.jpg
+
+2016-03-23 17:41:32,096 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,096 WARNING:image: ../../Caltech/binocular/image_0019.jpg
+
+2016-03-23 17:41:32,097 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,097 WARNING:image: ../../Caltech/binocular/image_0019.jpg
+
+2016-03-23 17:41:32,136 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,136 WARNING:image: ../../Caltech/crocodile_head/image_0043.jpg
+
+2016-03-23 17:41:32,136 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,136 WARNING:image: ../../Caltech/crocodile_head/image_0043.jpg
+
+2016-03-23 17:41:32,136 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,136 WARNING:image: ../../Caltech/crocodile_head/image_0043.jpg
+
+2016-03-23 17:41:32,138 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,138 WARNING:image: ../../Caltech/crocodile_head/image_0044.jpg
+
+2016-03-23 17:41:32,138 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,138 WARNING:image: ../../Caltech/crocodile_head/image_0044.jpg
+
+2016-03-23 17:41:32,140 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,140 WARNING:image: ../../Caltech/crocodile_head/image_0045.jpg
+
+2016-03-23 17:41:32,140 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,140 WARNING:image: ../../Caltech/crocodile_head/image_0045.jpg
+
+2016-03-23 17:41:32,140 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,140 WARNING:image: ../../Caltech/crocodile_head/image_0045.jpg
+
+2016-03-23 17:41:32,145 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,145 WARNING:image: ../../Caltech/crocodile_head/image_0048.jpg
+
+2016-03-23 17:41:32,148 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,148 WARNING:image: ../../Caltech/crocodile_head/image_0050.jpg
+
+2016-03-23 17:41:32,154 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,154 WARNING:image: ../../Caltech/crocodile_head/image_0002.jpg
+
+2016-03-23 17:41:32,159 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,159 WARNING:image: ../../Caltech/crocodile_head/image_0005.jpg
+
+2016-03-23 17:41:32,164 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,164 WARNING:image: ../../Caltech/crocodile_head/image_0008.jpg
+
+2016-03-23 17:41:32,168 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,168 WARNING:image: ../../Caltech/crocodile_head/image_0010.jpg
+
+2016-03-23 17:41:32,168 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,168 WARNING:image: ../../Caltech/crocodile_head/image_0010.jpg
+
+2016-03-23 17:41:32,170 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,170 WARNING:image: ../../Caltech/crocodile_head/image_0011.jpg
+
+2016-03-23 17:41:32,172 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,172 WARNING:image: ../../Caltech/crocodile_head/image_0012.jpg
+
+2016-03-23 17:41:32,175 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,175 WARNING:image: ../../Caltech/crocodile_head/image_0014.jpg
+
+2016-03-23 17:41:32,175 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,175 WARNING:image: ../../Caltech/crocodile_head/image_0014.jpg
+
+2016-03-23 17:41:32,178 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,178 WARNING:image: ../../Caltech/crocodile_head/image_0016.jpg
+
+2016-03-23 17:41:32,180 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,180 WARNING:image: ../../Caltech/crocodile_head/image_0017.jpg
+
+2016-03-23 17:41:32,187 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,187 WARNING:image: ../../Caltech/crocodile_head/image_0021.jpg
+
+2016-03-23 17:41:32,196 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,196 WARNING:image: ../../Caltech/crocodile_head/image_0026.jpg
+
+2016-03-23 17:41:32,207 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,207 WARNING:image: ../../Caltech/crocodile_head/image_0032.jpg
+
+2016-03-23 17:41:32,217 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,217 WARNING:image: ../../Caltech/cannon/image_0001.jpg
+
+2016-03-23 17:41:32,228 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,228 WARNING:image: ../../Caltech/cannon/image_0008.jpg
+
+2016-03-23 17:41:32,228 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,228 WARNING:image: ../../Caltech/cannon/image_0008.jpg
+
+2016-03-23 17:41:32,228 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,228 WARNING:image: ../../Caltech/cannon/image_0008.jpg
+
+2016-03-23 17:41:32,229 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,230 WARNING:image: ../../Caltech/cannon/image_0009.jpg
+
+2016-03-23 17:41:32,230 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,230 WARNING:image: ../../Caltech/cannon/image_0009.jpg
+
+2016-03-23 17:41:32,230 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,230 WARNING:image: ../../Caltech/cannon/image_0009.jpg
+
+2016-03-23 17:41:32,235 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,235 WARNING:image: ../../Caltech/cannon/image_0012.jpg
+
+2016-03-23 17:41:32,235 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,235 WARNING:image: ../../Caltech/cannon/image_0012.jpg
+
+2016-03-23 17:41:32,235 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,235 WARNING:image: ../../Caltech/cannon/image_0012.jpg
+
+2016-03-23 17:41:32,238 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,238 WARNING:image: ../../Caltech/cannon/image_0014.jpg
+
+2016-03-23 17:41:32,238 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,238 WARNING:image: ../../Caltech/cannon/image_0014.jpg
+
+2016-03-23 17:41:32,249 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,249 WARNING:image: ../../Caltech/cannon/image_0020.jpg
+
+2016-03-23 17:41:32,262 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,262 WARNING:image: ../../Caltech/cannon/image_0028.jpg
+
+2016-03-23 17:41:32,262 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,263 WARNING:image: ../../Caltech/cannon/image_0028.jpg
+
+2016-03-23 17:41:32,263 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,263 WARNING:image: ../../Caltech/cannon/image_0028.jpg
+
+2016-03-23 17:41:32,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,264 WARNING:image: ../../Caltech/cannon/image_0029.jpg
+
+2016-03-23 17:41:32,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,264 WARNING:image: ../../Caltech/cannon/image_0029.jpg
+
+2016-03-23 17:41:32,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,264 WARNING:image: ../../Caltech/cannon/image_0029.jpg
+
+2016-03-23 17:41:32,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,272 WARNING:image: ../../Caltech/cannon/image_0034.jpg
+
+2016-03-23 17:41:32,272 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,273 WARNING:image: ../../Caltech/cannon/image_0034.jpg
+
+2016-03-23 17:41:32,301 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,301 WARNING:image: ../../Caltech/rooster/image_0001.jpg
+
+2016-03-23 17:41:32,312 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,312 WARNING:image: ../../Caltech/rooster/image_0007.jpg
+
+2016-03-23 17:41:32,312 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,312 WARNING:image: ../../Caltech/rooster/image_0007.jpg
+
+2016-03-23 17:41:32,316 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,316 WARNING:image: ../../Caltech/rooster/image_0009.jpg
+
+2016-03-23 17:41:32,316 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,316 WARNING:image: ../../Caltech/rooster/image_0009.jpg
+
+2016-03-23 17:41:32,322 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,322 WARNING:image: ../../Caltech/rooster/image_0012.jpg
+
+2016-03-23 17:41:32,333 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,333 WARNING:image: ../../Caltech/rooster/image_0018.jpg
+
+2016-03-23 17:41:32,342 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,342 WARNING:image: ../../Caltech/rooster/image_0023.jpg
+
+2016-03-23 17:41:32,343 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,343 WARNING:image: ../../Caltech/rooster/image_0024.jpg
+
+2016-03-23 17:41:32,343 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,344 WARNING:image: ../../Caltech/rooster/image_0024.jpg
+
+2016-03-23 17:41:32,345 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,345 WARNING:image: ../../Caltech/rooster/image_0025.jpg
+
+2016-03-23 17:41:32,345 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,345 WARNING:image: ../../Caltech/rooster/image_0025.jpg
+
+2016-03-23 17:41:32,355 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,355 WARNING:image: ../../Caltech/rooster/image_0031.jpg
+
+2016-03-23 17:41:32,355 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,355 WARNING:image: ../../Caltech/rooster/image_0031.jpg
+
+2016-03-23 17:41:32,355 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,355 WARNING:image: ../../Caltech/rooster/image_0031.jpg
+
+2016-03-23 17:41:32,357 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,357 WARNING:image: ../../Caltech/rooster/image_0032.jpg
+
+2016-03-23 17:41:32,365 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,365 WARNING:image: ../../Caltech/rooster/image_0036.jpg
+
+2016-03-23 17:41:32,369 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,369 WARNING:image: ../../Caltech/rooster/image_0038.jpg
+
+2016-03-23 17:41:32,369 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,369 WARNING:image: ../../Caltech/rooster/image_0038.jpg
+
+2016-03-23 17:41:32,377 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,379 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,379 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,381 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,381 WARNING:image: ../../Caltech/revolver/image_0047.jpg
+
+2016-03-23 17:41:32,381 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,381 WARNING:image: ../../Caltech/revolver/image_0047.jpg
+
+2016-03-23 17:41:32,381 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,384 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,388 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,388 WARNING:image: ../../Caltech/revolver/image_0052.jpg
+
+2016-03-23 17:41:32,389 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,389 WARNING:image: ../../Caltech/revolver/image_0052.jpg
+
+2016-03-23 17:41:32,389 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,389 WARNING:image: ../../Caltech/revolver/image_0052.jpg
+
+2016-03-23 17:41:32,392 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,392 WARNING:image: ../../Caltech/revolver/image_0054.jpg
+
+2016-03-23 17:41:32,394 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,396 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,401 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,401 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,401 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,404 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,405 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,407 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,407 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,425 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,425 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,425 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,428 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,428 WARNING:image: ../../Caltech/revolver/image_0079.jpg
+
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+
+2016-03-23 17:41:32,444 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,445 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,445 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,446 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,449 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,452 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,452 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,452 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,453 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,455 WARNING:image: ../../Caltech/revolver/image_0037.jpg
+
+2016-03-23 17:41:32,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,455 WARNING:image: ../../Caltech/revolver/image_0037.jpg
+
+2016-03-23 17:41:32,455 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,458 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,466 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,466 WARNING:image: ../../Caltech/revolver/image_0004.jpg
+
+2016-03-23 17:41:32,466 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,466 WARNING:image: ../../Caltech/revolver/image_0004.jpg
+
+2016-03-23 17:41:32,466 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,466 WARNING:image: ../../Caltech/revolver/image_0004.jpg
+
+2016-03-23 17:41:32,472 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,472 WARNING:image: ../../Caltech/revolver/image_0008.jpg
+
+2016-03-23 17:41:32,473 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,473 WARNING:image: ../../Caltech/revolver/image_0008.jpg
+
+2016-03-23 17:41:32,473 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,473 WARNING:image: ../../Caltech/revolver/image_0008.jpg
+
+2016-03-23 17:41:32,481 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,481 WARNING:image: ../../Caltech/revolver/image_0013.jpg
+
+2016-03-23 17:41:32,483 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,483 WARNING:image: ../../Caltech/revolver/image_0015.jpg
+
+2016-03-23 17:41:32,484 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,484 WARNING:image: ../../Caltech/revolver/image_0016.jpg
+
+2016-03-23 17:41:32,484 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,484 WARNING:image: ../../Caltech/revolver/image_0016.jpg
+
+2016-03-23 17:41:32,484 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,484 WARNING:image: ../../Caltech/revolver/image_0016.jpg
+
+2016-03-23 17:41:32,486 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,486 WARNING:image: ../../Caltech/revolver/image_0017.jpg
+
+2016-03-23 17:41:32,486 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,487 WARNING:image: ../../Caltech/revolver/image_0018.jpg
+
+2016-03-23 17:41:32,487 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,487 WARNING:image: ../../Caltech/revolver/image_0018.jpg
+
+2016-03-23 17:41:32,487 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,487 WARNING:image: ../../Caltech/revolver/image_0018.jpg
+
+2016-03-23 17:41:32,488 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,488 WARNING:image: ../../Caltech/revolver/image_0019.jpg
+
+2016-03-23 17:41:32,488 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,488 WARNING:image: ../../Caltech/revolver/image_0019.jpg
+
+2016-03-23 17:41:32,488 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,488 WARNING:image: ../../Caltech/revolver/image_0019.jpg
+
+2016-03-23 17:41:32,490 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,490 WARNING:image: ../../Caltech/stapler/image_0021.jpg
+
+2016-03-23 17:41:32,491 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,491 WARNING:image: ../../Caltech/stapler/image_0021.jpg
+
+2016-03-23 17:41:32,496 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,496 WARNING:image: ../../Caltech/stapler/image_0024.jpg
+
+2016-03-23 17:41:32,496 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,496 WARNING:image: ../../Caltech/stapler/image_0024.jpg
+
+2016-03-23 17:41:32,496 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,496 WARNING:image: ../../Caltech/stapler/image_0024.jpg
+
+2016-03-23 17:41:32,512 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,512 WARNING:image: ../../Caltech/stapler/image_0033.jpg
+
+2016-03-23 17:41:32,512 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,512 WARNING:image: ../../Caltech/stapler/image_0033.jpg
+
+2016-03-23 17:41:32,512 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,513 WARNING:image: ../../Caltech/stapler/image_0033.jpg
+
+2016-03-23 17:41:32,520 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,531 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,531 WARNING:image: ../../Caltech/stapler/image_0044.jpg
+
+2016-03-23 17:41:32,531 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,531 WARNING:image: ../../Caltech/stapler/image_0044.jpg
+
+2016-03-23 17:41:32,533 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,533 WARNING:image: ../../Caltech/stapler/image_0045.jpg
+
+2016-03-23 17:41:32,533 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,538 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,538 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,538 WARNING:image: ../../Caltech/stapler/image_0003.jpg
+
+2016-03-23 17:41:32,570 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,571 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,571 WARNING:image: ../../Caltech/octopus/image_0021.jpg
+
+2016-03-23 17:41:32,574 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,578 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,579 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,579 WARNING:image: ../../Caltech/octopus/image_0026.jpg
+
+2016-03-23 17:41:32,579 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,579 WARNING:image: ../../Caltech/octopus/image_0026.jpg
+
+2016-03-23 17:41:32,579 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,579 WARNING:image: ../../Caltech/octopus/image_0026.jpg
+
+2016-03-23 17:41:32,581 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,581 WARNING:image: ../../Caltech/octopus/image_0027.jpg
+
+2016-03-23 17:41:32,583 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,583 WARNING:image: ../../Caltech/octopus/image_0028.jpg
+
+2016-03-23 17:41:32,585 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,585 WARNING:image: ../../Caltech/octopus/image_0029.jpg
+
+2016-03-23 17:41:32,591 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,591 WARNING:image: ../../Caltech/octopus/image_0033.jpg
+
+2016-03-23 17:41:32,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,593 WARNING:image: ../../Caltech/octopus/image_0034.jpg
+
+2016-03-23 17:41:32,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,593 WARNING:image: ../../Caltech/octopus/image_0034.jpg
+
+2016-03-23 17:41:32,593 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,593 WARNING:image: ../../Caltech/octopus/image_0034.jpg
+
+2016-03-23 17:41:32,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,595 WARNING:image: ../../Caltech/octopus/image_0035.jpg
+
+2016-03-23 17:41:32,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,595 WARNING:image: ../../Caltech/octopus/image_0035.jpg
+
+2016-03-23 17:41:32,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,595 WARNING:image: ../../Caltech/octopus/image_0035.jpg
+
+2016-03-23 17:41:32,609 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,609 WARNING:image: ../../Caltech/octopus/image_0009.jpg
+
+2016-03-23 17:41:32,612 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,612 WARNING:image: ../../Caltech/octopus/image_0011.jpg
+
+2016-03-23 17:41:32,612 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,612 WARNING:image: ../../Caltech/octopus/image_0011.jpg
+
+2016-03-23 17:41:32,616 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,616 WARNING:image: ../../Caltech/octopus/image_0014.jpg
+
+2016-03-23 17:41:32,616 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,616 WARNING:image: ../../Caltech/octopus/image_0014.jpg
+
+2016-03-23 17:41:32,619 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,619 WARNING:image: ../../Caltech/octopus/image_0016.jpg
+
+2016-03-23 17:41:32,622 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,622 WARNING:image: ../../Caltech/octopus/image_0018.jpg
+
+2016-03-23 17:41:32,622 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,622 WARNING:image: ../../Caltech/octopus/image_0018.jpg
+
+2016-03-23 17:41:32,622 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,622 WARNING:image: ../../Caltech/octopus/image_0018.jpg
+
+2016-03-23 17:41:32,665 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,665 WARNING:image: ../../Caltech/grand_piano/image_0022.jpg
+
+2016-03-23 17:41:32,665 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,665 WARNING:image: ../../Caltech/grand_piano/image_0022.jpg
+
+2016-03-23 17:41:32,684 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,685 WARNING:image: ../../Caltech/grand_piano/image_0033.jpg
+
+2016-03-23 17:41:32,685 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,685 WARNING:image: ../../Caltech/grand_piano/image_0033.jpg
+
+2016-03-23 17:41:32,726 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,727 WARNING:image: ../../Caltech/grand_piano/image_0016.jpg
+
+2016-03-23 17:41:32,727 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,727 WARNING:image: ../../Caltech/grand_piano/image_0016.jpg
+
+2016-03-23 17:41:32,727 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,727 WARNING:image: ../../Caltech/grand_piano/image_0016.jpg
+
+2016-03-23 17:41:32,762 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,762 WARNING:image: ../../Caltech/grand_piano/image_0096.jpg
+
+2016-03-23 17:41:32,762 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,762 WARNING:image: ../../Caltech/grand_piano/image_0096.jpg
+
+2016-03-23 17:41:32,762 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,763 WARNING:image: ../../Caltech/grand_piano/image_0096.jpg
+
+2016-03-23 17:41:32,773 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,773 WARNING:image: ../../Caltech/grand_piano/image_0063.jpg
+
+2016-03-23 17:41:32,785 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,785 WARNING:image: ../../Caltech/grand_piano/image_0069.jpg
+
+2016-03-23 17:41:32,785 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,785 WARNING:image: ../../Caltech/grand_piano/image_0069.jpg
+
+2016-03-23 17:41:32,806 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,806 WARNING:image: ../../Caltech/grand_piano/image_0080.jpg
+
+2016-03-23 17:41:32,806 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,806 WARNING:image: ../../Caltech/grand_piano/image_0080.jpg
+
+2016-03-23 17:41:32,806 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,806 WARNING:image: ../../Caltech/grand_piano/image_0080.jpg
+
+2016-03-23 17:41:32,827 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,827 WARNING:image: ../../Caltech/ant/image_0013.jpg
+
+2016-03-23 17:41:32,829 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,829 WARNING:image: ../../Caltech/ant/image_0014.jpg
+
+2016-03-23 17:41:32,829 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,829 WARNING:image: ../../Caltech/ant/image_0014.jpg
+
+2016-03-23 17:41:32,835 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,835 WARNING:image: ../../Caltech/ant/image_0018.jpg
+
+2016-03-23 17:41:32,835 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,835 WARNING:image: ../../Caltech/ant/image_0018.jpg
+
+2016-03-23 17:41:32,840 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,840 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,849 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,855 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,856 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,857 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,857 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,858 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,859 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,859 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,862 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,863 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,863 WARNING:image: ../../Caltech/ant/image_0034.jpg
+
+2016-03-23 17:41:32,883 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,883 WARNING:image: ../../Caltech/umbrella/image_0047.jpg
+
+2016-03-23 17:41:32,883 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,896 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,896 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,899 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,900 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,900 WARNING:image: ../../Caltech/umbrella/image_0056.jpg
+
+2016-03-23 17:41:32,900 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:32,904 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,904 WARNING:image: ../../Caltech/umbrella/image_0058.jpg
+
+2016-03-23 17:41:32,904 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,911 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,916 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,916 WARNING:image: ../../Caltech/umbrella/image_0004.jpg
+
+2016-03-23 17:41:32,916 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,917 WARNING:image: ../../Caltech/umbrella/image_0004.jpg
+
+2016-03-23 17:41:32,917 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,917 WARNING:image: ../../Caltech/umbrella/image_0004.jpg
+
+2016-03-23 17:41:32,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,931 WARNING:image: ../../Caltech/umbrella/image_0012.jpg
+
+2016-03-23 17:41:32,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,931 WARNING:image: ../../Caltech/umbrella/image_0012.jpg
+
+2016-03-23 17:41:32,931 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,931 WARNING:image: ../../Caltech/umbrella/image_0012.jpg
+
+2016-03-23 17:41:32,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,933 WARNING:image: ../../Caltech/umbrella/image_0013.jpg
+
+2016-03-23 17:41:32,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,933 WARNING:image: ../../Caltech/umbrella/image_0013.jpg
+
+2016-03-23 17:41:32,935 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,935 WARNING:image: ../../Caltech/umbrella/image_0014.jpg
+
+2016-03-23 17:41:32,935 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,938 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,938 WARNING:image: ../../Caltech/umbrella/image_0016.jpg
+
+2016-03-23 17:41:32,942 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,942 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,942 WARNING:image: ../../Caltech/umbrella/image_0018.jpg
+
+2016-03-23 17:41:32,946 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,947 WARNING:image: ../../Caltech/umbrella/image_0021.jpg
+
+2016-03-23 17:41:32,959 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:32,970 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,970 WARNING:image: ../../Caltech/umbrella/image_0034.jpg
+
+2016-03-23 17:41:32,970 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,970 WARNING:image: ../../Caltech/umbrella/image_0034.jpg
+
+2016-03-23 17:41:32,970 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,970 WARNING:image: ../../Caltech/umbrella/image_0034.jpg
+
+2016-03-23 17:41:32,974 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,974 WARNING:image: ../../Caltech/umbrella/image_0036.jpg
+
+2016-03-23 17:41:32,974 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,974 WARNING:image: ../../Caltech/umbrella/image_0036.jpg
+
+2016-03-23 17:41:32,982 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,982 WARNING:image: ../../Caltech/umbrella/image_0040.jpg
+
+2016-03-23 17:41:32,983 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,983 WARNING:image: ../../Caltech/umbrella/image_0062.jpg
+
+2016-03-23 17:41:32,985 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,985 WARNING:image: ../../Caltech/umbrella/image_0063.jpg
+
+2016-03-23 17:41:32,985 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,985 WARNING:image: ../../Caltech/umbrella/image_0063.jpg
+
+2016-03-23 17:41:32,985 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,986 WARNING:image: ../../Caltech/umbrella/image_0063.jpg
+
+2016-03-23 17:41:32,989 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,989 WARNING:image: ../../Caltech/umbrella/image_0065.jpg
+
+2016-03-23 17:41:32,989 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,989 WARNING:image: ../../Caltech/umbrella/image_0065.jpg
+
+2016-03-23 17:41:32,989 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,989 WARNING:image: ../../Caltech/umbrella/image_0065.jpg
+
+2016-03-23 17:41:32,991 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,991 WARNING:image: ../../Caltech/umbrella/image_0066.jpg
+
+2016-03-23 17:41:32,993 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,993 WARNING:image: ../../Caltech/umbrella/image_0068.jpg
+
+2016-03-23 17:41:32,994 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,994 WARNING:image: ../../Caltech/umbrella/image_0068.jpg
+
+2016-03-23 17:41:32,995 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,995 WARNING:image: ../../Caltech/umbrella/image_0069.jpg
+
+2016-03-23 17:41:32,995 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,995 WARNING:image: ../../Caltech/umbrella/image_0069.jpg
+
+2016-03-23 17:41:32,995 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,995 WARNING:image: ../../Caltech/umbrella/image_0069.jpg
+
+2016-03-23 17:41:32,999 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,999 WARNING:image: ../../Caltech/umbrella/image_0071.jpg
+
+2016-03-23 17:41:32,999 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:32,999 WARNING:image: ../../Caltech/umbrella/image_0071.jpg
+
+2016-03-23 17:41:33,025 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,025 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,040 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,040 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,040 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,050 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,055 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,059 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,060 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,066 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,066 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,075 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,075 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,143 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,154 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,154 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,163 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,237 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,279 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,283 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,295 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,324 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,330 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,338 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,341 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,349 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,372 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:33,471 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,488 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:33,494 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:33,498 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:33,619 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:33,621 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:33,648 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:34,136 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:34,157 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,169 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:34,176 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,197 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,197 WARNING:image: ../../Caltech/wrench/image_0026.jpg
+
+2016-03-23 17:41:34,198 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,204 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,205 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,205 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,205 WARNING:image: ../../Caltech/wrench/image_0005.jpg
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+2016-03-23 17:41:34,209 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,210 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,210 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,216 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,217 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,217 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,218 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,218 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,218 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,228 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,231 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,232 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,233 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,233 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,234 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,235 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,235 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,241 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,242 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,257 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,265 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,274 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,277 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,282 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,282 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,286 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,286 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,288 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,291 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,293 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,293 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,293 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,298 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,298 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,300 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,305 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,305 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,309 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,311 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,315 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,326 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,326 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,328 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,328 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,341 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,346 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,346 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,347 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,347 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,347 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:34,362 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+2016-03-23 17:41:34,364 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,366 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,366 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,367 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,367 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,368 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,369 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,369 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:34,373 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,373 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,374 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,377 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+2016-03-23 17:41:34,383 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,383 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,387 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,387 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,388 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,388 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,389 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,389 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,392 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,392 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,397 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,398 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,398 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:34,410 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,410 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+2016-03-23 17:41:34,422 WARNING:image: ../../Caltech/car_side/image_0061.jpg
+
+2016-03-23 17:41:34,422 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,422 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,423 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,423 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,423 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,424 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,424 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,424 WARNING:image: ../../Caltech/car_side/image_0063.jpg
+
+2016-03-23 17:41:34,425 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,425 WARNING:image: ../../Caltech/car_side/image_0063.jpg
+
+2016-03-23 17:41:34,426 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,426 WARNING:image: ../../Caltech/car_side/image_0065.jpg
+
+2016-03-23 17:41:34,426 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,426 WARNING:image: ../../Caltech/car_side/image_0065.jpg
+
+2016-03-23 17:41:34,427 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,427 WARNING:image: ../../Caltech/car_side/image_0065.jpg
+
+2016-03-23 17:41:34,435 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,435 WARNING:image: ../../Caltech/car_side/image_0074.jpg
+
+2016-03-23 17:41:34,435 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,435 WARNING:image: ../../Caltech/car_side/image_0074.jpg
+
+2016-03-23 17:41:34,435 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,435 WARNING:image: ../../Caltech/car_side/image_0074.jpg
+
+2016-03-23 17:41:34,436 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,436 WARNING:image: ../../Caltech/car_side/image_0075.jpg
+
+2016-03-23 17:41:34,436 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,436 WARNING:image: ../../Caltech/car_side/image_0075.jpg
+
+2016-03-23 17:41:34,436 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,436 WARNING:image: ../../Caltech/car_side/image_0075.jpg
+
+2016-03-23 17:41:34,438 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,438 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,438 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,439 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,439 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,439 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,440 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,440 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,440 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,441 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,441 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,441 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,442 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,442 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,442 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,445 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,445 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,445 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,459 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,459 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,459 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,470 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,471 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,479 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,479 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,485 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,485 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,485 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,485 WARNING:image: ../../Caltech/cougar_body/image_0044.jpg
+
+2016-03-23 17:41:34,486 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,486 WARNING:image: ../../Caltech/cougar_body/image_0045.jpg
+
+2016-03-23 17:41:34,487 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,487 WARNING:image: ../../Caltech/cougar_body/image_0045.jpg
+
+2016-03-23 17:41:34,487 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,487 WARNING:image: ../../Caltech/cougar_body/image_0045.jpg
+
+2016-03-23 17:41:34,491 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,491 WARNING:image: ../../Caltech/cougar_body/image_0010.jpg
+
+2016-03-23 17:41:34,492 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,492 WARNING:image: ../../Caltech/cougar_body/image_0010.jpg
+
+2016-03-23 17:41:34,492 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,492 WARNING:image: ../../Caltech/cougar_body/image_0010.jpg
+
+2016-03-23 17:41:34,496 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,496 WARNING:image: ../../Caltech/cougar_body/image_0012.jpg
+
+2016-03-23 17:41:34,500 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,500 WARNING:image: ../../Caltech/cougar_body/image_0015.jpg
+
+2016-03-23 17:41:34,505 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,505 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,506 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,507 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,507 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,507 WARNING:image: ../../Caltech/cougar_body/image_0019.jpg
+
+2016-03-23 17:41:34,510 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,510 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,512 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,512 WARNING:image: ../../Caltech/cougar_body/image_0022.jpg
+
+2016-03-23 17:41:34,517 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,518 WARNING:image: ../../Caltech/cougar_body/image_0026.jpg
+
+2016-03-23 17:41:34,518 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,518 WARNING:image: ../../Caltech/cougar_body/image_0026.jpg
+
+2016-03-23 17:41:34,520 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,524 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,525 WARNING:image: ../../Caltech/cougar_body/image_0030.jpg
+
+2016-03-23 17:41:34,525 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,525 WARNING:image: ../../Caltech/cougar_body/image_0030.jpg
+
+2016-03-23 17:41:34,525 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,525 WARNING:image: ../../Caltech/cougar_body/image_0030.jpg
+
+2016-03-23 17:41:34,529 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,529 WARNING:image: ../../Caltech/cougar_body/image_0002.jpg
+
+2016-03-23 17:41:34,540 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,540 WARNING:image: ../../Caltech/cougar_body/image_0009.jpg
+
+2016-03-23 17:41:34,542 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,549 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,549 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,550 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,551 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,552 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,552 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,557 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,558 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,558 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,558 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,566 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
+2016-03-23 17:41:34,585 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,589 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:34,612 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,629 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,629 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,629 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
+2016-03-23 17:41:34,669 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,670 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,671 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,671 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:34,673 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:34,845 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,845 WARNING:image: ../../Caltech/hawksbill/image_0045.jpg
+
+2016-03-23 17:41:34,848 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,848 WARNING:image: ../../Caltech/hawksbill/image_0047.jpg
+
+2016-03-23 17:41:34,862 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,874 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,874 WARNING:image: ../../Caltech/hawksbill/image_0077.jpg
+
+2016-03-23 17:41:34,877 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,877 WARNING:image: ../../Caltech/hawksbill/image_0079.jpg
+
+2016-03-23 17:41:34,877 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,880 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,880 WARNING:image: ../../Caltech/hawksbill/image_0081.jpg
+
+2016-03-23 17:41:34,880 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,880 WARNING:image: ../../Caltech/hawksbill/image_0081.jpg
+
+2016-03-23 17:41:34,890 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,890 WARNING:image: ../../Caltech/hawksbill/image_0087.jpg
+
+2016-03-23 17:41:34,903 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,903 WARNING:image: ../../Caltech/hawksbill/image_0057.jpg
+
+2016-03-23 17:41:34,903 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,903 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,903 WARNING:image: ../../Caltech/hawksbill/image_0057.jpg
+
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+2016-03-23 17:41:34,910 WARNING:image: ../../Caltech/hawksbill/image_0061.jpg
+
+2016-03-23 17:41:34,911 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,911 WARNING:image: ../../Caltech/hawksbill/image_0062.jpg
+
+2016-03-23 17:41:34,911 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,911 WARNING:image: ../../Caltech/hawksbill/image_0062.jpg
+
+2016-03-23 17:41:34,923 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,923 WARNING:image: ../../Caltech/hawksbill/image_0069.jpg
+
+2016-03-23 17:41:34,925 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,928 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:34,933 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,934 WARNING:image: ../../Caltech/hawksbill/image_0001.jpg
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+2016-03-23 17:41:34,946 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:34,946 WARNING:image: ../../Caltech/hawksbill/image_0008.jpg
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+2016-03-23 17:41:34,957 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,964 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,973 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,973 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,974 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,982 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:34,984 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:35,227 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:35,227 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:35,247 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:35,247 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:35,253 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:35,254 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+2016-03-23 17:41:35,393 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:35,398 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:35,401 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:35,958 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:35,958 WARNING:image: ../../Caltech/Motorbikes/image_0504.jpg
+
+2016-03-23 17:41:35,996 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:35,996 WARNING:image: ../../Caltech/Motorbikes/image_0570.jpg
+
+2016-03-23 17:41:35,996 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:35,996 WARNING:image: ../../Caltech/Motorbikes/image_0570.jpg
+
+2016-03-23 17:41:35,996 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:35,997 WARNING:image: ../../Caltech/Motorbikes/image_0570.jpg
+
+2016-03-23 17:41:36,027 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,027 WARNING:image: ../../Caltech/Motorbikes/image_0329.jpg
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+2016-03-23 17:41:36,036 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,037 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,038 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,045 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,045 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,049 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,493 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,531 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,566 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:36,566 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
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+
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+
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+
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+
+2016-03-23 17:41:36,724 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:36,724 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,795 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,795 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:36,823 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:36,843 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,843 WARNING:image: ../../Caltech/ibis/image_0029.jpg
+
+2016-03-23 17:41:36,847 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,847 WARNING:image: ../../Caltech/ibis/image_0031.jpg
+
+2016-03-23 17:41:36,854 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,854 WARNING:image: ../../Caltech/ibis/image_0035.jpg
+
+2016-03-23 17:41:36,862 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,863 WARNING:image: ../../Caltech/ibis/image_0040.jpg
+
+2016-03-23 17:41:36,863 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,863 WARNING:image: ../../Caltech/ibis/image_0040.jpg
+
+2016-03-23 17:41:36,863 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,863 WARNING:image: ../../Caltech/ibis/image_0040.jpg
+
+2016-03-23 17:41:36,865 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,865 WARNING:image: ../../Caltech/ibis/image_0041.jpg
+
+2016-03-23 17:41:36,865 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,865 WARNING:image: ../../Caltech/ibis/image_0041.jpg
+
+2016-03-23 17:41:36,865 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,865 WARNING:image: ../../Caltech/ibis/image_0041.jpg
+
+2016-03-23 17:41:36,867 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:36,867 WARNING:image: ../../Caltech/ibis/image_0042.jpg
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+2016-03-23 17:41:36,883 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:36,886 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,892 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,905 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,908 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,909 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,909 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,912 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,912 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,922 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:36,926 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,025 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,025 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,025 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,051 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,051 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,060 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,062 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,063 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,063 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,065 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,067 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,067 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,074 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,074 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,074 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,081 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,081 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,082 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,085 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,087 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,089 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,089 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,093 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,104 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,105 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:41:37,124 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,125 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,126 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,127 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,131 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,144 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,145 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,145 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,163 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,164 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,165 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,165 WARNING:image: ../../Caltech/ferry/image_0033.jpg
+
+2016-03-23 17:41:37,165 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,170 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,170 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,170 WARNING:image: ../../Caltech/ferry/image_0037.jpg
+
+2016-03-23 17:41:37,171 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,171 WARNING:image: ../../Caltech/ferry/image_0037.jpg
+
+2016-03-23 17:41:37,176 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,181 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,181 WARNING:image: ../../Caltech/ferry/image_0044.jpg
+
+2016-03-23 17:41:37,181 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,181 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,191 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,194 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,194 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,200 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,200 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,206 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,206 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,207 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,208 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,208 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
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+
+2016-03-23 17:41:37,228 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,229 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,248 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,248 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,248 WARNING:image: ../../Caltech/dollar_bill/image_0031.jpg
+
+2016-03-23 17:41:37,249 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,249 WARNING:image: ../../Caltech/dollar_bill/image_0032.jpg
+
+2016-03-23 17:41:37,250 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,250 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,252 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,252 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,252 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,255 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,255 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,255 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,265 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,268 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,270 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,270 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,273 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,273 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:41:37,276 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,276 WARNING:image: ../../Caltech/dollar_bill/image_0003.jpg
+
+2016-03-23 17:41:37,284 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:41:37,305 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
+2016-03-23 17:41:37,316 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,316 WARNING:image: ../../Caltech/flamingo_head/image_0023.jpg
+
+2016-03-23 17:41:37,316 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,316 WARNING:image: ../../Caltech/flamingo_head/image_0023.jpg
+
+2016-03-23 17:41:37,318 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,318 WARNING:image: ../../Caltech/flamingo_head/image_0024.jpg
+
+2016-03-23 17:41:37,319 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,319 WARNING:image: ../../Caltech/flamingo_head/image_0025.jpg
+
+2016-03-23 17:41:37,320 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,320 WARNING:image: ../../Caltech/flamingo_head/image_0025.jpg
+
+2016-03-23 17:41:37,322 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,323 WARNING:image: ../../Caltech/flamingo_head/image_0027.jpg
+
+2016-03-23 17:41:37,323 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,323 WARNING:image: ../../Caltech/flamingo_head/image_0027.jpg
+
+2016-03-23 17:41:37,326 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,326 WARNING:image: ../../Caltech/flamingo_head/image_0029.jpg
+
+2016-03-23 17:41:37,333 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,333 WARNING:image: ../../Caltech/flamingo_head/image_0033.jpg
+
+2016-03-23 17:41:37,333 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,333 WARNING:image: ../../Caltech/flamingo_head/image_0033.jpg
+
+2016-03-23 17:41:37,333 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,333 WARNING:image: ../../Caltech/flamingo_head/image_0033.jpg
+
+2016-03-23 17:41:37,340 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,340 WARNING:image: ../../Caltech/flamingo_head/image_0037.jpg
+
+2016-03-23 17:41:37,345 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,345 WARNING:image: ../../Caltech/flamingo_head/image_0040.jpg
+
+2016-03-23 17:41:37,345 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,345 WARNING:image: ../../Caltech/flamingo_head/image_0040.jpg
+
+2016-03-23 17:41:37,345 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,345 WARNING:image: ../../Caltech/flamingo_head/image_0040.jpg
+
+2016-03-23 17:41:37,347 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,347 WARNING:image: ../../Caltech/flamingo_head/image_0041.jpg
+
+2016-03-23 17:41:37,352 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,352 WARNING:image: ../../Caltech/flamingo_head/image_0044.jpg
+
+2016-03-23 17:41:37,352 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,353 WARNING:image: ../../Caltech/flamingo_head/image_0044.jpg
+
+2016-03-23 17:41:37,353 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,353 WARNING:image: ../../Caltech/flamingo_head/image_0044.jpg
+
+2016-03-23 17:41:37,360 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,360 WARNING:image: ../../Caltech/flamingo_head/image_0004.jpg
+
+2016-03-23 17:41:37,360 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,360 WARNING:image: ../../Caltech/flamingo_head/image_0004.jpg
+
+2016-03-23 17:41:37,362 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,362 WARNING:image: ../../Caltech/flamingo_head/image_0005.jpg
+
+2016-03-23 17:41:37,367 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,367 WARNING:image: ../../Caltech/flamingo_head/image_0008.jpg
+
+2016-03-23 17:41:37,391 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,391 WARNING:image: ../../Caltech/water_lilly/image_0025.jpg
+
+2016-03-23 17:41:37,392 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,392 WARNING:image: ../../Caltech/water_lilly/image_0025.jpg
+
+2016-03-23 17:41:37,400 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,400 WARNING:image: ../../Caltech/water_lilly/image_0030.jpg
+
+2016-03-23 17:41:37,400 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,400 WARNING:image: ../../Caltech/water_lilly/image_0030.jpg
+
+2016-03-23 17:41:37,408 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,408 WARNING:image: ../../Caltech/water_lilly/image_0035.jpg
+
+2016-03-23 17:41:37,418 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,418 WARNING:image: ../../Caltech/water_lilly/image_0004.jpg
+
+2016-03-23 17:41:37,418 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,418 WARNING:image: ../../Caltech/water_lilly/image_0004.jpg
+
+2016-03-23 17:41:37,421 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,421 WARNING:image: ../../Caltech/water_lilly/image_0006.jpg
+
+2016-03-23 17:41:37,430 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,430 WARNING:image: ../../Caltech/water_lilly/image_0011.jpg
+
+2016-03-23 17:41:37,430 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,430 WARNING:image: ../../Caltech/water_lilly/image_0011.jpg
+
+2016-03-23 17:41:37,433 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,433 WARNING:image: ../../Caltech/water_lilly/image_0013.jpg
+
+2016-03-23 17:41:37,434 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,434 WARNING:image: ../../Caltech/water_lilly/image_0014.jpg
+
+2016-03-23 17:41:37,434 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,434 WARNING:image: ../../Caltech/water_lilly/image_0014.jpg
+
+2016-03-23 17:41:37,434 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,434 WARNING:image: ../../Caltech/water_lilly/image_0014.jpg
+
+2016-03-23 17:41:37,437 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,437 WARNING:image: ../../Caltech/water_lilly/image_0016.jpg
+
+2016-03-23 17:41:37,439 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,439 WARNING:image: ../../Caltech/water_lilly/image_0017.jpg
+
+2016-03-23 17:41:37,440 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,440 WARNING:image: ../../Caltech/water_lilly/image_0017.jpg
+
+2016-03-23 17:41:37,458 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,458 WARNING:image: ../../Caltech/electric_guitar/image_0048.jpg
+
+2016-03-23 17:41:37,458 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,458 WARNING:image: ../../Caltech/electric_guitar/image_0048.jpg
+
+2016-03-23 17:41:37,458 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,458 WARNING:image: ../../Caltech/electric_guitar/image_0048.jpg
+
+2016-03-23 17:41:37,459 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,459 WARNING:image: ../../Caltech/electric_guitar/image_0049.jpg
+
+2016-03-23 17:41:37,459 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,459 WARNING:image: ../../Caltech/electric_guitar/image_0049.jpg
+
+2016-03-23 17:41:37,478 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,478 WARNING:image: ../../Caltech/electric_guitar/image_0064.jpg
+
+2016-03-23 17:41:37,487 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,488 WARNING:image: ../../Caltech/electric_guitar/image_0072.jpg
+
+2016-03-23 17:41:37,498 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,498 WARNING:image: ../../Caltech/electric_guitar/image_0005.jpg
+
+2016-03-23 17:41:37,498 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,499 WARNING:image: ../../Caltech/electric_guitar/image_0005.jpg
+
+2016-03-23 17:41:37,499 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,499 WARNING:image: ../../Caltech/electric_guitar/image_0005.jpg
+
+2016-03-23 17:41:37,531 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,531 WARNING:image: ../../Caltech/electric_guitar/image_0029.jpg
+
+2016-03-23 17:41:37,532 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,532 WARNING:image: ../../Caltech/electric_guitar/image_0030.jpg
+
+2016-03-23 17:41:37,535 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,535 WARNING:image: ../../Caltech/electric_guitar/image_0032.jpg
+
+2016-03-23 17:41:37,535 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,535 WARNING:image: ../../Caltech/electric_guitar/image_0032.jpg
+
+2016-03-23 17:41:37,549 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,549 WARNING:image: ../../Caltech/gramophone/image_0024.jpg
+
+2016-03-23 17:41:37,562 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,562 WARNING:image: ../../Caltech/gramophone/image_0031.jpg
+
+2016-03-23 17:41:37,563 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,563 WARNING:image: ../../Caltech/gramophone/image_0032.jpg
+
+2016-03-23 17:41:37,572 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,572 WARNING:image: ../../Caltech/gramophone/image_0037.jpg
+
+2016-03-23 17:41:37,574 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,574 WARNING:image: ../../Caltech/gramophone/image_0038.jpg
+
+2016-03-23 17:41:37,576 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,576 WARNING:image: ../../Caltech/gramophone/image_0039.jpg
+
+2016-03-23 17:41:37,588 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,588 WARNING:image: ../../Caltech/gramophone/image_0046.jpg
+
+2016-03-23 17:41:37,594 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,594 WARNING:image: ../../Caltech/gramophone/image_0050.jpg
+
+2016-03-23 17:41:37,595 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,595 WARNING:image: ../../Caltech/gramophone/image_0050.jpg
+
+2016-03-23 17:41:37,596 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,596 WARNING:image: ../../Caltech/gramophone/image_0051.jpg
+
+2016-03-23 17:41:37,598 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,598 WARNING:image: ../../Caltech/gramophone/image_0001.jpg
+
+2016-03-23 17:41:37,607 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,607 WARNING:image: ../../Caltech/gramophone/image_0006.jpg
+
+2016-03-23 17:41:37,607 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,607 WARNING:image: ../../Caltech/gramophone/image_0006.jpg
+
+2016-03-23 17:41:37,620 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,620 WARNING:image: ../../Caltech/gramophone/image_0013.jpg
+
+2016-03-23 17:41:37,621 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,621 WARNING:image: ../../Caltech/gramophone/image_0014.jpg
+
+2016-03-23 17:41:37,622 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,622 WARNING:image: ../../Caltech/gramophone/image_0014.jpg
+
+2016-03-23 17:41:37,624 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,624 WARNING:image: ../../Caltech/gramophone/image_0015.jpg
+
+2016-03-23 17:41:37,625 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,625 WARNING:image: ../../Caltech/gramophone/image_0016.jpg
+
+2016-03-23 17:41:37,626 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,626 WARNING:image: ../../Caltech/gramophone/image_0016.jpg
+
+2016-03-23 17:41:37,627 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,627 WARNING:image: ../../Caltech/gramophone/image_0017.jpg
+
+2016-03-23 17:41:37,629 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,629 WARNING:image: ../../Caltech/gramophone/image_0018.jpg
+
+2016-03-23 17:41:37,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,631 WARNING:image: ../../Caltech/gramophone/image_0019.jpg
+
+2016-03-23 17:41:37,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,631 WARNING:image: ../../Caltech/gramophone/image_0019.jpg
+
+2016-03-23 17:41:37,631 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,631 WARNING:image: ../../Caltech/gramophone/image_0019.jpg
+
+2016-03-23 17:41:37,635 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,635 WARNING:image: ../../Caltech/ceiling_fan/image_0021.jpg
+
+2016-03-23 17:41:37,635 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,635 WARNING:image: ../../Caltech/ceiling_fan/image_0021.jpg
+
+2016-03-23 17:41:37,635 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,635 WARNING:image: ../../Caltech/ceiling_fan/image_0021.jpg
+
+2016-03-23 17:41:37,641 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,641 WARNING:image: ../../Caltech/ceiling_fan/image_0025.jpg
+
+2016-03-23 17:41:37,641 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,641 WARNING:image: ../../Caltech/ceiling_fan/image_0025.jpg
+
+2016-03-23 17:41:37,642 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,642 WARNING:image: ../../Caltech/ceiling_fan/image_0026.jpg
+
+2016-03-23 17:41:37,643 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,644 WARNING:image: ../../Caltech/ceiling_fan/image_0027.jpg
+
+2016-03-23 17:41:37,645 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,645 WARNING:image: ../../Caltech/ceiling_fan/image_0028.jpg
+
+2016-03-23 17:41:37,645 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,645 WARNING:image: ../../Caltech/ceiling_fan/image_0028.jpg
+
+2016-03-23 17:41:37,645 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,645 WARNING:image: ../../Caltech/ceiling_fan/image_0028.jpg
+
+2016-03-23 17:41:37,646 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,646 WARNING:image: ../../Caltech/ceiling_fan/image_0029.jpg
+
+2016-03-23 17:41:37,656 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,656 WARNING:image: ../../Caltech/ceiling_fan/image_0036.jpg
+
+2016-03-23 17:41:37,657 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,657 WARNING:image: ../../Caltech/ceiling_fan/image_0036.jpg
+
+2016-03-23 17:41:37,657 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,657 WARNING:image: ../../Caltech/ceiling_fan/image_0036.jpg
+
+2016-03-23 17:41:37,662 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,662 WARNING:image: ../../Caltech/ceiling_fan/image_0040.jpg
+
+2016-03-23 17:41:37,662 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,663 WARNING:image: ../../Caltech/ceiling_fan/image_0040.jpg
+
+2016-03-23 17:41:37,671 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,671 WARNING:image: ../../Caltech/ceiling_fan/image_0046.jpg
+
+2016-03-23 17:41:37,673 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,673 WARNING:image: ../../Caltech/ceiling_fan/image_0047.jpg
+
+2016-03-23 17:41:37,678 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,678 WARNING:image: ../../Caltech/ceiling_fan/image_0004.jpg
+
+2016-03-23 17:41:37,679 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,679 WARNING:image: ../../Caltech/ceiling_fan/image_0005.jpg
+
+2016-03-23 17:41:37,680 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,680 WARNING:image: ../../Caltech/ceiling_fan/image_0005.jpg
+
+2016-03-23 17:41:37,684 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,684 WARNING:image: ../../Caltech/ceiling_fan/image_0008.jpg
+
+2016-03-23 17:41:37,685 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,685 WARNING:image: ../../Caltech/ceiling_fan/image_0009.jpg
+
+2016-03-23 17:41:37,685 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,685 WARNING:image: ../../Caltech/ceiling_fan/image_0009.jpg
+
+2016-03-23 17:41:37,685 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,685 WARNING:image: ../../Caltech/ceiling_fan/image_0009.jpg
+
+2016-03-23 17:41:37,686 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,686 WARNING:image: ../../Caltech/ceiling_fan/image_0010.jpg
+
+2016-03-23 17:41:37,687 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,687 WARNING:image: ../../Caltech/ceiling_fan/image_0010.jpg
+
+2016-03-23 17:41:37,687 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,687 WARNING:image: ../../Caltech/ceiling_fan/image_0010.jpg
+
+2016-03-23 17:41:37,691 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,691 WARNING:image: ../../Caltech/ceiling_fan/image_0013.jpg
+
+2016-03-23 17:41:37,692 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,692 WARNING:image: ../../Caltech/ceiling_fan/image_0013.jpg
+
+2016-03-23 17:41:37,693 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,693 WARNING:image: ../../Caltech/ceiling_fan/image_0014.jpg
+
+2016-03-23 17:41:37,693 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,693 WARNING:image: ../../Caltech/ceiling_fan/image_0014.jpg
+
+2016-03-23 17:41:37,693 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,693 WARNING:image: ../../Caltech/ceiling_fan/image_0014.jpg
+
+2016-03-23 17:41:37,696 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,696 WARNING:image: ../../Caltech/ceiling_fan/image_0016.jpg
+
+2016-03-23 17:41:37,696 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,696 WARNING:image: ../../Caltech/ceiling_fan/image_0016.jpg
+
+2016-03-23 17:41:37,696 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,696 WARNING:image: ../../Caltech/ceiling_fan/image_0016.jpg
+
+2016-03-23 17:41:37,697 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,698 WARNING:image: ../../Caltech/ceiling_fan/image_0017.jpg
+
+2016-03-23 17:41:37,699 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,699 WARNING:image: ../../Caltech/ceiling_fan/image_0018.jpg
+
+2016-03-23 17:41:37,700 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:41:37,700 WARNING:image: ../../Caltech/ceiling_fan/image_0019.jpg
+
+2016-03-23 17:41:37,701 DEBUG:Done: FeatureExtraction Nr:1 from:10 ###
+2016-03-23 17:41:37,706 DEBUG:Start: Classification Nr:1 from:10
+2016-03-23 17:43:15,152 DEBUG:Done: Classification Nr:1 from:10
+2016-03-23 17:43:15,155 DEBUG:Start: FeatureExtraction Nr:2 from:10 with RGB_MaxCI=59 ###
+2016-03-23 17:43:15,317 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,317 WARNING:image: ../../Caltech/dolphin/image_0052.jpg
+
+2016-03-23 17:43:15,319 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,319 WARNING:image: ../../Caltech/dolphin/image_0053.jpg
+
+2016-03-23 17:43:15,319 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,319 WARNING:image: ../../Caltech/dolphin/image_0053.jpg
+
+2016-03-23 17:43:15,319 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,319 WARNING:image: ../../Caltech/dolphin/image_0053.jpg
+
+2016-03-23 17:43:15,329 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,329 WARNING:image: ../../Caltech/dolphin/image_0021.jpg
+
+2016-03-23 17:43:15,329 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,329 WARNING:image: ../../Caltech/dolphin/image_0021.jpg
+
+2016-03-23 17:43:15,356 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,356 WARNING:image: ../../Caltech/dolphin/image_0061.jpg
+
+2016-03-23 17:43:15,356 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,356 WARNING:image: ../../Caltech/dolphin/image_0061.jpg
+
+2016-03-23 17:43:15,559 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,559 WARNING:image: ../../Caltech/scorpion/image_0044.jpg
+
+2016-03-23 17:43:15,612 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,612 WARNING:image: ../../Caltech/scorpion/image_0033.jpg
+
+2016-03-23 17:43:15,843 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,844 WARNING:image: ../../Caltech/bonsai/image_0059.jpg
+
+2016-03-23 17:43:15,844 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,844 WARNING:image: ../../Caltech/bonsai/image_0059.jpg
+
+2016-03-23 17:43:15,844 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,844 WARNING:image: ../../Caltech/bonsai/image_0059.jpg
+
+2016-03-23 17:43:15,973 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,973 WARNING:image: ../../Caltech/stop_sign/image_0042.jpg
+
+2016-03-23 17:43:15,975 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,975 WARNING:image: ../../Caltech/stop_sign/image_0043.jpg
+
+2016-03-23 17:43:15,986 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,986 WARNING:image: ../../Caltech/stop_sign/image_0049.jpg
+
+2016-03-23 17:43:15,995 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,995 WARNING:image: ../../Caltech/stop_sign/image_0054.jpg
+
+2016-03-23 17:43:15,999 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:15,999 WARNING:image: ../../Caltech/stop_sign/image_0056.jpg
+
+2016-03-23 17:43:16,004 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+2016-03-23 17:43:16,426 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
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+
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+
+2016-03-23 17:43:25,736 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:43:25,736 WARNING:WARNING NORMALIZATION: sumHIST is zero
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+
+2016-03-23 17:43:25,778 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:25,778 WARNING:image: ../../Caltech/schooner/image_0052.jpg
+
+2016-03-23 17:43:25,869 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:25,869 WARNING:image: ../../Caltech/cup/image_0030.jpg
+
+2016-03-23 17:43:25,870 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:25,870 WARNING:image: ../../Caltech/cup/image_0030.jpg
+
+2016-03-23 17:43:25,870 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:25,870 WARNING:image: ../../Caltech/cup/image_0030.jpg
+
+2016-03-23 17:43:25,926 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:25,926 WARNING:image: ../../Caltech/cup/image_0004.jpg
+
+2016-03-23 17:43:25,970 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:25,971 WARNING:image: ../../Caltech/gerenuk/image_0030.jpg
+
+2016-03-23 17:43:25,971 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:25,971 WARNING:image: ../../Caltech/gerenuk/image_0030.jpg
+
+2016-03-23 17:43:27,240 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,241 WARNING:image: ../../Caltech/octopus/image_0035.jpg
+
+2016-03-23 17:43:27,241 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,241 WARNING:image: ../../Caltech/octopus/image_0035.jpg
+
+2016-03-23 17:43:27,241 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,241 WARNING:image: ../../Caltech/octopus/image_0035.jpg
+
+2016-03-23 17:43:27,267 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,267 WARNING:image: ../../Caltech/octopus/image_0018.jpg
+
+2016-03-23 17:43:27,267 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,267 WARNING:image: ../../Caltech/octopus/image_0018.jpg
+
+2016-03-23 17:43:27,268 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,268 WARNING:image: ../../Caltech/octopus/image_0018.jpg
+
+2016-03-23 17:43:27,561 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,561 WARNING:image: ../../Caltech/umbrella/image_0004.jpg
+
+2016-03-23 17:43:27,561 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,562 WARNING:image: ../../Caltech/umbrella/image_0004.jpg
+
+2016-03-23 17:43:27,632 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,633 WARNING:image: ../../Caltech/umbrella/image_0065.jpg
+
+2016-03-23 17:43:27,708 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,709 WARNING:image: ../../Caltech/strawberry/image_0034.jpg
+
+2016-03-23 17:43:27,709 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,709 WARNING:image: ../../Caltech/strawberry/image_0034.jpg
+
+2016-03-23 17:43:27,810 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:27,810 WARNING:image: ../../Caltech/brain/image_0073.jpg
+
+2016-03-23 17:43:29,186 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,186 WARNING:image: ../../Caltech/ewer/image_0026.jpg
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+2016-03-23 17:43:29,265 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,265 WARNING:image: ../../Caltech/ewer/image_0019.jpg
+
+2016-03-23 17:43:29,265 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,265 WARNING:image: ../../Caltech/ewer/image_0019.jpg
+
+2016-03-23 17:43:29,303 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,303 WARNING:image: ../../Caltech/ewer/image_0054.jpg
+
+2016-03-23 17:43:29,303 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,303 WARNING:image: ../../Caltech/ewer/image_0054.jpg
+
+2016-03-23 17:43:29,511 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,511 WARNING:image: ../../Caltech/hawksbill/image_0079.jpg
+
+2016-03-23 17:43:29,515 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,515 WARNING:image: ../../Caltech/hawksbill/image_0081.jpg
+
+2016-03-23 17:43:29,580 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,580 WARNING:image: ../../Caltech/hawksbill/image_0008.jpg
+
+2016-03-23 17:43:29,618 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:29,618 WARNING:image: ../../Caltech/hawksbill/image_0032.jpg
+
+2016-03-23 17:43:30,265 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:30,265 WARNING:image: ../../Caltech/nautilus/image_0031.jpg
+
+2016-03-23 17:43:30,556 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:30,557 WARNING:image: ../../Caltech/Motorbikes/image_0359.jpg
+
+2016-03-23 17:43:31,397 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:31,397 WARNING:image: ../../Caltech/pizza/image_0006.jpg
+
+2016-03-23 17:43:31,499 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:31,499 WARNING:image: ../../Caltech/ibis/image_0040.jpg
+
+2016-03-23 17:43:31,499 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:31,499 WARNING:image: ../../Caltech/ibis/image_0040.jpg
+
+2016-03-23 17:43:31,500 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:31,500 WARNING:image: ../../Caltech/ibis/image_0040.jpg
+
+2016-03-23 17:43:31,884 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:31,884 WARNING:image: ../../Caltech/dollar_bill/image_0032.jpg
+
+2016-03-23 17:43:31,884 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:43:31,884 WARNING:image: ../../Caltech/dollar_bill/image_0032.jpg
+
+2016-03-23 17:43:32,330 DEBUG:Done: FeatureExtraction Nr:2 from:10 ###
+2016-03-23 17:43:32,335 DEBUG:Start: Classification Nr:2 from:10
+2016-03-23 17:54:12,465 DEBUG:Done: Classification Nr:2 from:10
+2016-03-23 17:54:12,471 DEBUG:Start: FeatureExtraction Nr:3 from:10 with RGB_MaxCI=115 ###
+2016-03-23 17:54:12,768 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:12,768 WARNING:image: ../../Caltech/dolphin/image_0021.jpg
+
+2016-03-23 17:54:17,024 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:17,024 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:54:17,024 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:17,024 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:54:17,025 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:17,025 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 17:54:17,318 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:17,318 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0446.jpg
+
+2016-03-23 17:54:19,375 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:19,375 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0287.jpg
+
+2016-03-23 17:54:22,385 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:22,385 WARNING:image: ../../Caltech/laptop/image_0058.jpg
+
+2016-03-23 17:54:22,385 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:22,385 WARNING:image: ../../Caltech/laptop/image_0058.jpg
+
+2016-03-23 17:54:23,151 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:23,151 WARNING:image: ../../Caltech/anchor/image_0005.jpg
+
+2016-03-23 17:54:23,151 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:23,151 WARNING:image: ../../Caltech/anchor/image_0005.jpg
+
+2016-03-23 17:54:23,172 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:23,172 WARNING:image: ../../Caltech/anchor/image_0016.jpg
+
+2016-03-23 17:54:23,172 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:23,172 WARNING:image: ../../Caltech/anchor/image_0016.jpg
+
+2016-03-23 17:54:23,703 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:23,703 WARNING:image: ../../Caltech/starfish/image_0065.jpg
+
+2016-03-23 17:54:23,750 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:23,751 WARNING:image: ../../Caltech/starfish/image_0005.jpg
+
+2016-03-23 17:54:24,394 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:24,394 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:54:24,394 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:24,394 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:54:24,394 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:24,394 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 17:54:27,139 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:27,139 WARNING:image: ../../Caltech/lamp/image_0047.jpg
+
+2016-03-23 17:54:27,139 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:27,139 WARNING:image: ../../Caltech/lamp/image_0047.jpg
+
+2016-03-23 17:54:27,140 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:27,140 WARNING:image: ../../Caltech/lamp/image_0047.jpg
+
+2016-03-23 17:54:30,139 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:30,139 WARNING:image: ../../Caltech/umbrella/image_0004.jpg
+
+2016-03-23 17:54:30,287 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:30,287 WARNING:image: ../../Caltech/strawberry/image_0034.jpg
+
+2016-03-23 17:54:32,644 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:32,644 WARNING:image: ../../Caltech/ewer/image_0054.jpg
+
+2016-03-23 17:54:32,997 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 17:54:32,997 WARNING:image: ../../Caltech/hawksbill/image_0079.jpg
+
+2016-03-23 17:54:37,617 DEBUG:Done: FeatureExtraction Nr:3 from:10 ###
+2016-03-23 17:54:37,626 DEBUG:Start: Classification Nr:3 from:10
+2016-03-23 18:06:10,927 DEBUG:Done: Classification Nr:3 from:10
+2016-03-23 18:06:10,931 DEBUG:Start: FeatureExtraction Nr:4 from:10 with RGB_MaxCI=172 ###
+2016-03-23 18:06:13,607 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:06:13,607 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:06:13,607 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:06:13,607 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:06:13,608 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:06:13,608 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:06:19,253 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:06:19,253 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:06:19,254 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:06:19,254 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:06:19,254 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:06:19,254 WARNING:image: ../../Caltech/menorah/image_0022.jpg
+
+2016-03-23 18:06:27,650 DEBUG:Done: FeatureExtraction Nr:4 from:10 ###
+2016-03-23 18:06:27,655 DEBUG:Start: Classification Nr:4 from:10
+2016-03-23 18:18:04,400 DEBUG:Done: Classification Nr:4 from:10
+2016-03-23 18:18:04,404 DEBUG:Start: FeatureExtraction Nr:5 from:10 with RGB_MaxCI=229 ###
+2016-03-23 18:18:07,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:18:07,264 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:18:07,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:18:07,264 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:18:07,264 WARNING:WARNING NORMALIZATION: sumHIST is zero
+2016-03-23 18:18:07,264 WARNING:image: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+
+2016-03-23 18:18:22,670 DEBUG:Done: FeatureExtraction Nr:5 from:10 ###
+2016-03-23 18:18:22,675 DEBUG:Start: Classification Nr:5 from:10
+2016-03-23 18:28:07,081 DEBUG:Done: Classification Nr:5 from:10
+2016-03-23 18:28:07,087 DEBUG:Start: FeatureExtraction Nr:6 from:10 with RGB_MaxCI=285 ###
+2016-03-23 18:28:29,088 DEBUG:Done: FeatureExtraction Nr:6 from:10 ###
+2016-03-23 18:28:29,093 DEBUG:Start: Classification Nr:6 from:10
+2016-03-23 18:36:53,432 DEBUG:Done: Classification Nr:6 from:10
+2016-03-23 18:36:53,436 DEBUG:Start: FeatureExtraction Nr:7 from:10 with RGB_MaxCI=342 ###
+2016-03-23 18:37:10,376 DEBUG:Done: FeatureExtraction Nr:7 from:10 ###
+2016-03-23 18:37:10,382 DEBUG:Start: Classification Nr:7 from:10
+2016-03-23 18:43:57,283 DEBUG:Done: Classification Nr:7 from:10
+2016-03-23 18:43:57,288 DEBUG:Start: FeatureExtraction Nr:8 from:10 with RGB_MaxCI=399 ###
+2016-03-23 18:44:14,578 DEBUG:Done: FeatureExtraction Nr:8 from:10 ###
+2016-03-23 18:44:14,583 DEBUG:Start: Classification Nr:8 from:10
+2016-03-23 18:50:15,895 DEBUG:Done: Classification Nr:8 from:10
+2016-03-23 18:50:15,899 DEBUG:Start: FeatureExtraction Nr:9 from:10 with RGB_MaxCI=455 ###
+2016-03-23 18:50:32,812 DEBUG:Done: FeatureExtraction Nr:9 from:10 ###
+2016-03-23 18:50:32,817 DEBUG:Start: Classification Nr:9 from:10
+2016-03-23 18:56:06,879 DEBUG:Done: Classification Nr:9 from:10
+2016-03-23 18:56:06,883 DEBUG:Start: FeatureExtraction Nr:10 from:10 with RGB_MaxCI=512 ###
+2016-03-23 18:56:23,649 DEBUG:Done: FeatureExtraction Nr:10 from:10 ###
+2016-03-23 18:56:23,654 DEBUG:Start: Classification Nr:10 from:10
+2016-03-23 19:01:01,841 DEBUG:Done: Classification Nr:10 from:10
+2016-03-23 19:01:01,845 DEBUG:Done: Feautre Optimisation
+2016-03-23 19:01:01,845 DEBUG:Start: Exporting to CSV
+2016-03-23 19:01:01,854 DEBUG:Done: Exporting to CSV
+2016-03-23 19:01:01,854 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/RGB-CI-2-512-10/2016_03_23-FPO-Caltech-RGB-RGB_MaxCI.csv b/Code/Niko/Results-FeatParaOpt/RGB-CI-2-512-10/2016_03_23-FPO-Caltech-RGB-RGB_MaxCI.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cb376be15dc5f908d8a218ba48b51bcd9841cd07
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/RGB-CI-2-512-10/2016_03_23-FPO-Caltech-RGB-RGB_MaxCI.csv
@@ -0,0 +1,101 @@
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+0;Caltech-RGB-Bins_25-MaxCI_2-Norm_Distr;16.9451460838;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";97.4508938789;0.133971291866
+1;Caltech-RGB-Bins_25-MaxCI_59-Norm_Distr;17.1744060516;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
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+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
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+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
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+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";696.750547886;0.283526999316
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+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
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+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";584.411394835;0.30977443609
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+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
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+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
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+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";361.317315102;0.33984962406
+8;Caltech-RGB-Bins_25-MaxCI_455-Norm_Distr;16.9123439789;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";334.067783117;0.351742993848
+9;Caltech-RGB-Bins_25-MaxCI_512-Norm_Distr;16.7652480602;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";278.192038059;0.347095010253
diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-ClassTime.png b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-LOG.log b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..0f17121fcb0f373b80d6c6971db7e9885f10d5c9
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-LOG.log
@@ -0,0 +1,59 @@
+2016-03-23 14:59:27,761 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 14:59:27,761 DEBUG:### Optimisation - Feature:SIFT Parameter:SIFT_Cluster from:2 to:25 in #calc:5
+2016-03-23 14:59:27,762 DEBUG:Start: Exportation of images from DB
+2016-03-23 14:59:55,860 DEBUG:Done: Exportation of Images from DB
+2016-03-23 14:59:55,860 DEBUG:Start: Feautre Optimisation
+2016-03-23 14:59:55,860 DEBUG:Start: FeatureExtraction Nr:1 from:5 with SIFT_Cluster=2 ###
+2016-03-23 14:59:55,860 DEBUG:SIFT: Keypoints Calculation
+2016-03-23 15:01:09,246 DEBUG:SIFT: No Keypoints found in: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+2016-03-23 15:02:36,282 DEBUG:SIFT: 25% of images processed (Keypoints)
+2016-03-23 15:04:43,861 DEBUG:SIFT: 50% of images processed (Keypoints)
+2016-03-23 15:06:32,386 DEBUG:SIFT: 75% of images processed (Keypoints)
+2016-03-23 15:08:02,679 DEBUG:SIFT: Calculation of Dictonary with 2 Clusters
+2016-03-23 15:08:36,126 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 15:08:41,977 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 15:08:46,955 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 15:08:51,125 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 15:08:54,827 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 15:08:54,834 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 15:10:43,031 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 15:10:43,036 DEBUG:Start: FeatureExtraction Nr:2 from:5 with SIFT_Cluster=8 ###
+2016-03-23 15:10:43,037 DEBUG:SIFT: Calculation of Dictonary with 8 Clusters
+2016-03-23 15:12:45,164 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 15:12:53,923 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 15:13:01,967 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 15:13:09,481 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 15:13:16,397 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 15:13:16,405 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 15:16:11,281 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 15:16:11,285 DEBUG:Start: FeatureExtraction Nr:3 from:5 with SIFT_Cluster=14 ###
+2016-03-23 15:16:11,285 DEBUG:SIFT: Calculation of Dictonary with 14 Clusters
+2016-03-23 15:21:47,454 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 15:21:56,827 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 15:22:05,518 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 15:22:13,711 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 15:22:20,377 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 15:22:20,384 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 15:26:24,177 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 15:26:24,180 DEBUG:Start: FeatureExtraction Nr:4 from:5 with SIFT_Cluster=19 ###
+2016-03-23 15:26:24,181 DEBUG:SIFT: Calculation of Dictonary with 19 Clusters
+2016-03-23 15:28:13,942 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 15:28:22,838 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 15:28:29,902 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 15:28:35,939 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 15:28:41,850 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 15:28:41,858 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 15:33:42,570 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 15:33:42,577 DEBUG:Start: FeatureExtraction Nr:5 from:5 with SIFT_Cluster=25 ###
+2016-03-23 15:33:42,577 DEBUG:SIFT: Calculation of Dictonary with 25 Clusters
+2016-03-23 15:37:41,038 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 15:37:48,800 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 15:37:54,935 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 15:38:01,685 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 15:38:07,419 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 15:38:07,426 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 15:44:11,014 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 15:44:11,095 DEBUG:Done: Feautre Optimisation
+2016-03-23 15:44:11,098 DEBUG:Start: Exporting to CSV
+2016-03-23 15:44:11,103 DEBUG:Done: Exporting to CSV
+2016-03-23 15:44:11,104 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-TotalTime.png b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-TotalTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..584a82cbd530edbe6a4c113a7ec4423230f0844f
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-TotalTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster.csv b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster.csv
new file mode 100644
index 0000000000000000000000000000000000000000..35d89651dfe92376a0f4fd622f9f531c4c101e66
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SIFT-2-25-5/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-SIFT-Cluster_2-Norm_Distr;538.966907024;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";108.203577995;0.0415584415584
+1;Caltech-SIFT-Cluster_8-Norm_Distr;153.360821962;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";174.883463144;0.223650034176
+2;Caltech-SIFT-Cluster_14-Norm_Distr;369.091800928;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";243.799727917;0.267532467532
+3;Caltech-SIFT-Cluster_19-Norm_Distr;137.669072151;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";300.720653057;0.282570061517
+4;Caltech-SIFT-Cluster_25-Norm_Distr;264.842042923;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";363.594789982;0.2999316473
diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-1.csv b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..be7e5cba34e57448703658a615884096646faf55
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-1.csv
@@ -0,0 +1,81 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-SIFT-Cluster_2-Norm_Distr;577.810793877;Classif_RF-CV_10-Trees_75;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";112.373505116;0.0381408065619
+1;Caltech-SIFT-Cluster_7-Norm_Distr;79.9856441021;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";162.647247076;0.205604921394
+2;Caltech-SIFT-Cluster_13-Norm_Distr;160.92042613;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";208.22614193;0.266985645933
+3;Caltech-SIFT-Cluster_18-Norm_Distr;221.411433935;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";317.253015041;0.28967874231
+4;Caltech-SIFT-Cluster_24-Norm_Distr;293.428142071;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";298.980179071;0.288858509911
+5;Caltech-SIFT-Cluster_29-Norm_Distr;316.938847065;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";370.404844046;0.3004784689
+6;Caltech-SIFT-Cluster_35-Norm_Distr;415.177917957;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";403.45866394;0.302529049897
+7;Caltech-SIFT-Cluster_40-Norm_Distr;479.185069084;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";479.155806065;0.312645249487
diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-ClassTime.png b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-FeatExtTime.png
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Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-FeatExtTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-LOG-1.log b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-LOG-1.log
new file mode 100644
index 0000000000000000000000000000000000000000..8bcb128fb3cd00404ba3f82d5c7f68af272a65e1
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-LOG-1.log
@@ -0,0 +1,86 @@
+2016-03-23 15:47:00,241 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 15:47:00,241 DEBUG:### Optimisation - Feature:SIFT Parameter:SIFT_Cluster from:2 to:40 in #calc:8
+2016-03-23 15:47:00,241 DEBUG:Start: Exportation of images from DB
+2016-03-23 15:47:34,439 DEBUG:Done: Exportation of Images from DB
+2016-03-23 15:47:34,439 DEBUG:Start: Feautre Optimisation
+2016-03-23 15:47:34,439 DEBUG:Start: FeatureExtraction Nr:1 from:8 with SIFT_Cluster=2 ###
+2016-03-23 15:47:34,439 DEBUG:SIFT: Keypoints Calculation
+2016-03-23 15:48:47,890 DEBUG:SIFT: No Keypoints found in: ../../Caltech/BACKGROUND_Google/image_0031.jpg
+2016-03-23 15:50:23,989 DEBUG:SIFT: 25% of images processed (Keypoints)
+2016-03-23 15:52:56,223 DEBUG:SIFT: 50% of images processed (Keypoints)
+2016-03-23 15:54:46,720 DEBUG:SIFT: 75% of images processed (Keypoints)
+2016-03-23 15:56:32,586 DEBUG:SIFT: Calculation of Dictonary with 2 Clusters
+2016-03-23 15:56:51,948 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 15:56:58,247 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 15:57:03,722 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 15:57:08,425 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 15:57:12,250 DEBUG:Done: FeatureExtraction Nr:1 from:8 ###
+2016-03-23 15:57:12,257 DEBUG:Start: Classification Nr:1 from:8
+2016-03-23 15:59:04,623 DEBUG:Done: Classification Nr:1 from:8
+2016-03-23 15:59:04,629 DEBUG:Start: FeatureExtraction Nr:2 from:8 with SIFT_Cluster=7 ###
+2016-03-23 15:59:04,630 DEBUG:SIFT: Calculation of Dictonary with 7 Clusters
+2016-03-23 16:00:01,644 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 16:00:08,873 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 16:00:14,935 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 16:00:20,298 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 16:00:24,615 DEBUG:Done: FeatureExtraction Nr:2 from:8 ###
+2016-03-23 16:00:24,623 DEBUG:Start: Classification Nr:2 from:8
+2016-03-23 16:03:07,262 DEBUG:Done: Classification Nr:2 from:8
+2016-03-23 16:03:07,267 DEBUG:Start: FeatureExtraction Nr:3 from:8 with SIFT_Cluster=13 ###
+2016-03-23 16:03:07,267 DEBUG:SIFT: Calculation of Dictonary with 13 Clusters
+2016-03-23 16:05:25,672 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 16:05:32,479 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 16:05:38,334 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 16:05:43,598 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 16:05:48,187 DEBUG:Done: FeatureExtraction Nr:3 from:8 ###
+2016-03-23 16:05:48,195 DEBUG:Start: Classification Nr:3 from:8
+2016-03-23 16:09:16,413 DEBUG:Done: Classification Nr:3 from:8
+2016-03-23 16:09:16,417 DEBUG:Start: FeatureExtraction Nr:4 from:8 with SIFT_Cluster=18 ###
+2016-03-23 16:09:16,418 DEBUG:SIFT: Calculation of Dictonary with 18 Clusters
+2016-03-23 16:12:22,114 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 16:12:32,243 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 16:12:42,283 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 16:12:50,676 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 16:12:57,829 DEBUG:Done: FeatureExtraction Nr:4 from:8 ###
+2016-03-23 16:12:57,836 DEBUG:Start: Classification Nr:4 from:8
+2016-03-23 16:18:15,082 DEBUG:Done: Classification Nr:4 from:8
+2016-03-23 16:18:15,086 DEBUG:Start: FeatureExtraction Nr:5 from:8 with SIFT_Cluster=24 ###
+2016-03-23 16:18:15,087 DEBUG:SIFT: Calculation of Dictonary with 24 Clusters
+2016-03-23 16:22:13,497 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 16:22:42,427 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 16:22:52,031 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 16:23:00,438 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 16:23:08,515 DEBUG:Done: FeatureExtraction Nr:5 from:8 ###
+2016-03-23 16:23:08,522 DEBUG:Start: Classification Nr:5 from:8
+2016-03-23 16:28:07,495 DEBUG:Done: Classification Nr:5 from:8
+2016-03-23 16:28:07,500 DEBUG:Start: FeatureExtraction Nr:6 from:8 with SIFT_Cluster=29 ###
+2016-03-23 16:28:07,500 DEBUG:SIFT: Calculation of Dictonary with 29 Clusters
+2016-03-23 16:32:52,799 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 16:33:03,025 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 16:33:10,887 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 16:33:17,447 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 16:33:24,438 DEBUG:Done: FeatureExtraction Nr:6 from:8 ###
+2016-03-23 16:33:24,447 DEBUG:Start: Classification Nr:6 from:8
+2016-03-23 16:39:34,843 DEBUG:Done: Classification Nr:6 from:8
+2016-03-23 16:39:34,850 DEBUG:Start: FeatureExtraction Nr:7 from:8 with SIFT_Cluster=35 ###
+2016-03-23 16:39:34,850 DEBUG:SIFT: Calculation of Dictonary with 35 Clusters
+2016-03-23 16:45:53,366 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 16:46:04,364 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 16:46:14,238 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 16:46:22,732 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 16:46:30,028 DEBUG:Done: FeatureExtraction Nr:7 from:8 ###
+2016-03-23 16:46:30,036 DEBUG:Start: Classification Nr:7 from:8
+2016-03-23 16:53:13,487 DEBUG:Done: Classification Nr:7 from:8
+2016-03-23 16:53:13,492 DEBUG:Start: FeatureExtraction Nr:8 from:8 with SIFT_Cluster=40 ###
+2016-03-23 16:53:13,493 DEBUG:SIFT: Calculation of Dictonary with 40 Clusters
+2016-03-23 17:00:33,991 DEBUG:SIFT: Assign words from Dictonary to each Image
+2016-03-23 17:00:45,334 DEBUG:SIFT: 25% of images processed (Assignments)
+2016-03-23 17:00:55,859 DEBUG:SIFT: 50% of images processed (Assignments)
+2016-03-23 17:01:04,687 DEBUG:SIFT: 75% of images processed (Assignments)
+2016-03-23 17:01:12,678 DEBUG:Done: FeatureExtraction Nr:8 from:8 ###
+2016-03-23 17:01:12,686 DEBUG:Start: Classification Nr:8 from:8
+2016-03-23 17:09:11,833 DEBUG:Done: Classification Nr:8 from:8
+2016-03-23 17:09:11,941 DEBUG:Done: Feautre Optimisation
+2016-03-23 17:09:11,945 DEBUG:Start: Exporting to CSV
+2016-03-23 17:09:11,958 DEBUG:Done: Exporting to CSV
+2016-03-23 17:09:11,958 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-TotalTime.png b/Code/Niko/Results-FeatParaOpt/SIFT-2-40-8/2016_03_23-FPO-Caltech-SIFT-SIFT_Cluster-TotalTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-ClassTime.png b/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-ClassTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-FeatExtTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-LOG.log b/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-LOG.log
new file mode 100644
index 0000000000000000000000000000000000000000..806a4eeac4e8498a3b3e5f6947c96291b833d080
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-LOG.log
@@ -0,0 +1,58 @@
+2016-03-23 15:10:18,358 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 15:10:18,358 DEBUG:### Optimisation - Feature:SURF Parameter:SURF_Cluster from:2 to:25 in #calc:5
+2016-03-23 15:10:18,358 DEBUG:Start: Exportation of images from DB
+2016-03-23 15:10:58,714 DEBUG:Done: Exportation of Images from DB
+2016-03-23 15:10:58,715 DEBUG:Start: Feautre Optimisation
+2016-03-23 15:10:58,715 DEBUG:Start: FeatureExtraction Nr:1 from:5 with SURF_Cluster=2 ###
+2016-03-23 15:10:58,715 DEBUG:SURF: Keypoints Calculation
+2016-03-23 15:18:59,438 DEBUG:SURF: 25% of images processed (Keypoints)
+2016-03-23 15:23:38,321 DEBUG:SURF: 50% of images processed (Keypoints)
+2016-03-23 15:27:43,729 DEBUG:SURF: 75% of images processed (Keypoints)
+2016-03-23 15:30:34,760 DEBUG:SURF: Calculation of Dictonary with 2 Clusters
+2016-03-23 15:30:47,465 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 15:30:56,395 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 15:31:02,078 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 15:31:06,608 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 15:31:09,705 DEBUG:Done: FeatureExtraction Nr:1 from:5 ###
+2016-03-23 15:31:09,709 DEBUG:Start: Classification Nr:1 from:5
+2016-03-23 15:33:31,117 DEBUG:Done: Classification Nr:1 from:5
+2016-03-23 15:33:31,123 DEBUG:Start: FeatureExtraction Nr:2 from:5 with SURF_Cluster=8 ###
+2016-03-23 15:33:31,124 DEBUG:SURF: Calculation of Dictonary with 8 Clusters
+2016-03-23 15:34:11,987 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 15:34:22,208 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 15:34:29,794 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 15:34:36,441 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 15:34:41,772 DEBUG:Done: FeatureExtraction Nr:2 from:5 ###
+2016-03-23 15:34:41,780 DEBUG:Start: Classification Nr:2 from:5
+2016-03-23 15:37:54,241 DEBUG:Done: Classification Nr:2 from:5
+2016-03-23 15:37:54,248 DEBUG:Start: FeatureExtraction Nr:3 from:5 with SURF_Cluster=14 ###
+2016-03-23 15:37:54,249 DEBUG:SURF: Calculation of Dictonary with 14 Clusters
+2016-03-23 15:38:33,558 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 15:38:45,967 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 15:38:54,345 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 15:39:01,626 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 15:39:07,371 DEBUG:Done: FeatureExtraction Nr:3 from:5 ###
+2016-03-23 15:39:07,378 DEBUG:Start: Classification Nr:3 from:5
+2016-03-23 15:43:27,485 DEBUG:Done: Classification Nr:3 from:5
+2016-03-23 15:43:27,489 DEBUG:Start: FeatureExtraction Nr:4 from:5 with SURF_Cluster=19 ###
+2016-03-23 15:43:27,489 DEBUG:SURF: Calculation of Dictonary with 19 Clusters
+2016-03-23 15:44:12,631 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 15:44:22,057 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 15:44:28,693 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 15:44:34,804 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 15:44:39,540 DEBUG:Done: FeatureExtraction Nr:4 from:5 ###
+2016-03-23 15:44:39,548 DEBUG:Start: Classification Nr:4 from:5
+2016-03-23 15:49:58,533 DEBUG:Done: Classification Nr:4 from:5
+2016-03-23 15:49:58,539 DEBUG:Start: FeatureExtraction Nr:5 from:5 with SURF_Cluster=25 ###
+2016-03-23 15:49:58,540 DEBUG:SURF: Calculation of Dictonary with 25 Clusters
+2016-03-23 15:51:47,679 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 15:51:59,992 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 15:52:07,963 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 15:52:14,296 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 15:52:19,282 DEBUG:Done: FeatureExtraction Nr:5 from:5 ###
+2016-03-23 15:52:19,290 DEBUG:Start: Classification Nr:5 from:5
+2016-03-23 15:58:03,431 DEBUG:Done: Classification Nr:5 from:5
+2016-03-23 15:58:03,502 DEBUG:Done: Feautre Optimisation
+2016-03-23 15:58:03,503 DEBUG:Start: Exporting to CSV
+2016-03-23 15:58:03,511 DEBUG:Done: Exporting to CSV
+2016-03-23 15:58:03,512 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-TotalTime.png b/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-TotalTime.png
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diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster.csv b/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1dacba05f1dbc4b69d1263754ef946116a9a2765
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SURF-2-25-5/2016_03_23-FPO-Caltech-SURF-SURF_Cluster.csv
@@ -0,0 +1,51 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-SURF-Cluster_2-Norm_Distr;1210.99004602;Classif_RF-CV_10-Trees_75;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";141.41198802;0.0403280929597
+1;Caltech-SURF-Cluster_8-Norm_Distr;70.6491580009;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";192.468937874;0.281066302119
+2;Caltech-SURF-Cluster_14-Norm_Distr;73.1224350929;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";260.113718987;0.338755980861
+3;Caltech-SURF-Cluster_19-Norm_Distr;72.0512499809;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";318.992892981;0.356937799043
+4;Caltech-SURF-Cluster_25-Norm_Distr;140.742791891;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";344.149312019;0.358578263841
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-1.csv b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..645604dd3730f72a0d0b470297b9efa18dbae344
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-1.csv
@@ -0,0 +1,81 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;Caltech-SURF-Cluster_2-Norm_Distr;1177.56950903;Classif_RF-CV_10-Trees_75;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";145.278042078;0.037047163363
+1;Caltech-SURF-Cluster_7-Norm_Distr;97.8135459423;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";204.527302027;0.268079289132
+2;Caltech-SURF-Cluster_13-Norm_Distr;89.2931809425;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";236.88420701;0.329049897471
+3;Caltech-SURF-Cluster_18-Norm_Distr;131.435392857;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";339.192024946;0.346001367054
+4;Caltech-SURF-Cluster_24-Norm_Distr;126.824800968;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";327.278403997;0.352426520848
+5;Caltech-SURF-Cluster_29-Norm_Distr;112.712007999;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";369.100538015;0.356937799043
+6;Caltech-SURF-Cluster_35-Norm_Distr;203.654929161;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";367.184186935;0.361175666439
+7;Caltech-SURF-Cluster_40-Norm_Distr;142.68084383;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, n_jobs=1,
+ param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
+ pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";447.169756889;0.362542720437
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-ClassTime.png b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-ClassTime.png
new file mode 100644
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diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-FeatExtTime.png b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-FeatExtTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..9d9f8521ac64237c89f2f074f507c7a663c10439
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-FeatExtTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-LOG-1.log b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-LOG-1.log
new file mode 100644
index 0000000000000000000000000000000000000000..a8d41b7cbf6a4b7fc0acc03affbd26a7f438606b
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-LOG-1.log
@@ -0,0 +1,85 @@
+2016-03-23 15:47:22,753 DEBUG:### Main Programm for Feature Parameter Optimisation
+2016-03-23 15:47:22,753 DEBUG:### Optimisation - Feature:SURF Parameter:SURF_Cluster from:2 to:40 in #calc:8
+2016-03-23 15:47:22,753 DEBUG:Start: Exportation of images from DB
+2016-03-23 15:47:58,572 DEBUG:Done: Exportation of Images from DB
+2016-03-23 15:47:58,572 DEBUG:Start: Feautre Optimisation
+2016-03-23 15:47:58,572 DEBUG:Start: FeatureExtraction Nr:1 from:8 with SURF_Cluster=2 ###
+2016-03-23 15:47:58,573 DEBUG:SURF: Keypoints Calculation
+2016-03-23 15:55:28,437 DEBUG:SURF: 25% of images processed (Keypoints)
+2016-03-23 16:00:12,702 DEBUG:SURF: 50% of images processed (Keypoints)
+2016-03-23 16:04:09,958 DEBUG:SURF: 75% of images processed (Keypoints)
+2016-03-23 16:07:01,292 DEBUG:SURF: Calculation of Dictonary with 2 Clusters
+2016-03-23 16:07:16,703 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:07:24,325 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:07:29,456 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:07:33,642 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:07:36,142 DEBUG:Done: FeatureExtraction Nr:1 from:8 ###
+2016-03-23 16:07:36,146 DEBUG:Start: Classification Nr:1 from:8
+2016-03-23 16:10:01,420 DEBUG:Done: Classification Nr:1 from:8
+2016-03-23 16:10:01,426 DEBUG:Start: FeatureExtraction Nr:2 from:8 with SURF_Cluster=7 ###
+2016-03-23 16:10:01,426 DEBUG:SURF: Calculation of Dictonary with 7 Clusters
+2016-03-23 16:11:05,372 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:11:16,519 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:11:24,647 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:11:32,408 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:11:39,240 DEBUG:Done: FeatureExtraction Nr:2 from:8 ###
+2016-03-23 16:11:39,247 DEBUG:Start: Classification Nr:2 from:8
+2016-03-23 16:15:03,767 DEBUG:Done: Classification Nr:2 from:8
+2016-03-23 16:15:03,771 DEBUG:Start: FeatureExtraction Nr:3 from:8 with SURF_Cluster=13 ###
+2016-03-23 16:15:03,772 DEBUG:SURF: Calculation of Dictonary with 13 Clusters
+2016-03-23 16:15:49,614 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:16:02,758 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:16:14,102 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:16:24,261 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:16:33,065 DEBUG:Done: FeatureExtraction Nr:3 from:8 ###
+2016-03-23 16:16:33,072 DEBUG:Start: Classification Nr:3 from:8
+2016-03-23 16:20:29,949 DEBUG:Done: Classification Nr:3 from:8
+2016-03-23 16:20:29,953 DEBUG:Start: FeatureExtraction Nr:4 from:8 with SURF_Cluster=18 ###
+2016-03-23 16:20:29,954 DEBUG:SURF: Calculation of Dictonary with 18 Clusters
+2016-03-23 16:21:44,514 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:21:57,679 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:22:09,362 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:22:23,607 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:22:41,389 DEBUG:Done: FeatureExtraction Nr:4 from:8 ###
+2016-03-23 16:22:41,396 DEBUG:Start: Classification Nr:4 from:8
+2016-03-23 16:28:20,581 DEBUG:Done: Classification Nr:4 from:8
+2016-03-23 16:28:20,587 DEBUG:Start: FeatureExtraction Nr:5 from:8 with SURF_Cluster=24 ###
+2016-03-23 16:28:20,587 DEBUG:SURF: Calculation of Dictonary with 24 Clusters
+2016-03-23 16:29:45,494 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:29:58,846 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:30:09,033 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:30:18,873 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:30:27,412 DEBUG:Done: FeatureExtraction Nr:5 from:8 ###
+2016-03-23 16:30:27,419 DEBUG:Start: Classification Nr:5 from:8
+2016-03-23 16:35:54,690 DEBUG:Done: Classification Nr:5 from:8
+2016-03-23 16:35:54,694 DEBUG:Start: FeatureExtraction Nr:6 from:8 with SURF_Cluster=29 ###
+2016-03-23 16:35:54,695 DEBUG:SURF: Calculation of Dictonary with 29 Clusters
+2016-03-23 16:37:09,293 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:37:22,049 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:37:33,119 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:37:40,733 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:37:47,406 DEBUG:Done: FeatureExtraction Nr:6 from:8 ###
+2016-03-23 16:37:47,414 DEBUG:Start: Classification Nr:6 from:8
+2016-03-23 16:43:56,507 DEBUG:Done: Classification Nr:6 from:8
+2016-03-23 16:43:56,513 DEBUG:Start: FeatureExtraction Nr:7 from:8 with SURF_Cluster=35 ###
+2016-03-23 16:43:56,513 DEBUG:SURF: Calculation of Dictonary with 35 Clusters
+2016-03-23 16:46:33,964 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:46:47,670 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:46:58,951 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:47:09,580 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:47:20,168 DEBUG:Done: FeatureExtraction Nr:7 from:8 ###
+2016-03-23 16:47:20,176 DEBUG:Start: Classification Nr:7 from:8
+2016-03-23 16:53:27,352 DEBUG:Done: Classification Nr:7 from:8
+2016-03-23 16:53:27,358 DEBUG:Start: FeatureExtraction Nr:8 from:8 with SURF_Cluster=40 ###
+2016-03-23 16:53:27,359 DEBUG:SURF: Calculation of Dictonary with 40 Clusters
+2016-03-23 16:55:07,399 DEBUG:SURF: Assign words from Dictonary to each Image
+2016-03-23 16:55:20,671 DEBUG:SURF: 25% of images processed (Assignments)
+2016-03-23 16:55:31,703 DEBUG:SURF: 50% of images processed (Assignments)
+2016-03-23 16:55:41,663 DEBUG:SURF: 75% of images processed (Assignments)
+2016-03-23 16:55:50,039 DEBUG:Done: FeatureExtraction Nr:8 from:8 ###
+2016-03-23 16:55:50,048 DEBUG:Start: Classification Nr:8 from:8
+2016-03-23 17:03:17,209 DEBUG:Done: Classification Nr:8 from:8
+2016-03-23 17:03:17,262 DEBUG:Done: Feautre Optimisation
+2016-03-23 17:03:17,264 DEBUG:Start: Exporting to CSV
+2016-03-23 17:03:17,271 DEBUG:Done: Exporting to CSV
+2016-03-23 17:03:17,271 DEBUG:Start: Plot Result
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-TotalTime.png b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-TotalTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..84430bec550ff68ea06caae7bacf1da1b84c15bd
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/SURF-2-40-8/2016_03_23-FPO-Caltech-SURF-SURF_Cluster-TotalTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/2016_01_28-Results-SURF.csv b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/2016_01_28-Results-SURF.csv
new file mode 100644
index 0000000000000000000000000000000000000000..be31b7890bd79e06ce7505f2fcea3f4e8537300f
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/2016_01_28-Results-SURF.csv
@@ -0,0 +1,45 @@
+;a_feat_desc;b_feat_extr_time;c_cl_desc;d_cl_res;e_cl_time;f_cl_score
+0;CT-SURF-Cluster_50.0-Norm_Distr;1371,7;Classif_RF-CV_5-Trees_150;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";79,638;0,327014
+1;CT-SURF-Cluster_100.0-Norm_Distr;8495,44;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";111,646;0,329202
+2;CT-SURF-Cluster_150.0-Norm_Distr;41403,7;Classif_RF-CV_5-Trees_200;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";142,393;0,33467
+3;CT-SURF-Cluster_200.0-Norm_Distr;59108,8;Classif_RF-CV_5-Trees_150;"GridSearchCV(cv=5, error_score='raise',
+ estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
+ max_depth=None, max_features='auto', max_leaf_nodes=None,
+ min_samples_leaf=1, min_samples_split=2,
+ min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
+ oob_score=False, random_state=None, verbose=0,
+ warm_start=False))]),
+ fit_params={}, iid=True, loss_func=None, n_jobs=1,
+ param_grid={'classifier__n_estimators': [50, 101, 150, 200]},
+ pre_dispatch='2*n_jobs', refit=True, score_func=None,
+ scoring='accuracy', verbose=0)";137,585;0,319358
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/Console-Output.txt b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/Console-Output.txt
new file mode 100644
index 0000000000000000000000000000000000000000..200716606fcd1004c9d68414b40d8eef37ffa647
--- /dev/null
+++ b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/Console-Output.txt
@@ -0,0 +1,61 @@
+D:\Programme\Anaconda\Scripts>ipython.exe D:\09-Py\ExecFeatParaOpt.py
+### Start of Main Programm for Feature Parameter Optimisation ###
+### Start: Exportation of images from DB ###
+### Done: Exportation of Images from DB ###
+### Optimisation - Feature:SURF Parameter:Cluster from:50 to:200 in #calc:4 with
+CV:True ###
+### Start: Feautre Optimisation ###
+### Start: FeatureExtraction Nr:1 from:4 with:Cluster=50.0 ###
+SURF: Keypoints Calculation
+SURF: 25% of Images processed (Keypoints)
+SURF: 50% of Images processed (Keypoints)
+SURF: 75% of Images processed (Keypoints)
+SURF: Length of Descriptors: 5546033
+SURF: Start filling descriptors
+SURF: Shape of Descriptors: (5546033L, 64L)
+Begin of SURFSIFTHisto
+SURF: Calculation of Dictonary with 50 Clusters
+SURF: Assign words from Dictonary to each Image
+SURF25% of Images processed (Assignments)
+SURF50% of Images processed (Assignments)
+SURF75% of Images processed (Assignments)
+### Done: FeatureExtraction Nr:1 from:4 ###
+### Start: Classification Nr:1 from:4 ###
+D:\Programme\Anaconda\lib\site-packages\sklearn\cross_validation.py:417: Warning
+: The least populated class in y has only 4 members, which is too few. The minim
+um number of labels for any class cannot be less than n_folds=5.
+ % (min_labels, self.n_folds)), Warning)
+### Done: Classification Nr:1 from:4 ###
+### Start: FeatureExtraction Nr:2 from:4 with:Cluster=100.0 ###
+Begin of SURFSIFTHisto
+SURF: Calculation of Dictonary with 100 Clusters
+SURF: Assign words from Dictonary to each Image
+SURF25% of Images processed (Assignments)
+SURF50% of Images processed (Assignments)
+SURF75% of Images processed (Assignments)
+### Done: FeatureExtraction Nr:2 from:4 ###
+### Start: Classification Nr:2 from:4 ###
+### Done: Classification Nr:2 from:4 ###
+### Start: FeatureExtraction Nr:3 from:4 with:Cluster=150.0 ###
+Begin of SURFSIFTHisto
+SURF: Calculation of Dictonary with 150 Clusters
+SURF: Assign words from Dictonary to each Image
+SURF25% of Images processed (Assignments)
+SURF50% of Images processed (Assignments)
+SURF75% of Images processed (Assignments)
+### Done: FeatureExtraction Nr:3 from:4 ###
+### Start: Classification Nr:3 from:4 ###
+### Done: Classification Nr:3 from:4 ###
+### Start: FeatureExtraction Nr:4 from:4 with:Cluster=200.0 ###
+Begin of SURFSIFTHisto
+SURF: Calculation of Dictonary with 200 Clusters
+SURF: Assign words from Dictonary to each Image
+SURF25% of Images processed (Assignments)
+SURF50% of Images processed (Assignments)
+SURF75% of Images processed (Assignments)
+### Done: FeatureExtraction Nr:4 from:4 ###
+### Start: Classification Nr:4 from:4 ###
+### Done: Classification Nr:4 from:4 ###
+### Done: Feautre Optimisation ###
+### Start: Exporting to CSV ###
+### Done: Exporting to CSV ###
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreClassificationTime.png b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreClassificationTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..2229541302dabe05c4c6dd74f1ae2dbd5f9a0a54
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreClassificationTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreFeatExtractionTime.png b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreFeatExtractionTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..570ec215ea048f445531cede2b16d5b62491c5ac
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreFeatExtractionTime.png differ
diff --git a/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreTotalTime.png b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreTotalTime.png
new file mode 100644
index 0000000000000000000000000000000000000000..8c79b431d4c568bf10b2675a1ca5ac322d7a2f24
Binary files /dev/null and b/Code/Niko/Results-FeatParaOpt/SURF-50-200-4/ScoreTotalTime.png differ
diff --git a/Code/Niko/hog_extraction.py b/Code/Niko/hog_extraction.py
index bd52f1fb10112c84714079c84c75d9fb463c8e35..8337296dd7b1d1cbdfd6a9093a15bba0b60a8a9c 100644
--- a/Code/Niko/hog_extraction.py
+++ b/Code/Niko/hog_extraction.py
@@ -13,6 +13,7 @@ import pandas as pd # for Series and DataFrames
import cv2 # for OpenCV
from skimage.feature import hog
from sklearn.cluster import MiniBatchKMeans
+import logging # To create Log-Files
# Import own modules
import DBCrawl
@@ -127,31 +128,31 @@ if __name__ == '__main__':
NB_CLUSTERS = 12
MAXITER = 100
- print "Fetching Images in " + path
+ logging.debug("Fetching Images in " + path)
# get dictionary to link classLabels Text to Integers
sClassLabels = getClassLabels(path)
# Get all path from all images inclusive classLabel as Integer
dfImages = imgCrawl(path, sClassLabels)
npImages = dfImages.values
extractedTime = time.time()
- print "Extracted images in " + str(extractedTime-start) +'sec'
- print "Sequencing Images ..."
+ logging.debug("Extracted images in " + str(extractedTime-start) +'sec')
+ logging.debug("Sequencing Images ...")
blocks = imageSequencing(npImages, CELL_DIMENSION)
sequencedTime = time.time()
- print "Sequenced images in " + str(sequencedTime-extractedTime) +'sec'
- print "Computing gradient on each block ..."
+ logging.debug("Sequenced images in " + str(sequencedTime-extractedTime) +'sec')
+ logging.debug("Computing gradient on each block ...")
gradients = computeLocalHistograms(blocks, NB_ORIENTATIONS, CELL_DIMENSION)
hogedTime = time.time()
- print "Computed gradients in " + str(hogedTime - sequencedTime) + 'sec'
- print "Clustering gradients ..."
+ logging.debug("Computed gradients in " + str(hogedTime - sequencedTime) + 'sec')
+ logging.debug("Clustering gradients ...")
gradientLabels, sizes = clusterGradients(gradients, NB_CLUSTERS, MAXITER)
clusteredItme = time.time()
- print "Clustered gradients in " + str(hogedTime - sequencedTime) + 'sec'
- print "Computing histograms ..."
+ logging.debug("Clustered gradients in " + str(hogedTime - sequencedTime) + 'sec')
+ logging.debug("Computing histograms ...")
histograms = makeHistograms(gradientLabels, NB_CLUSTERS, sizes)
end = time.time()
- print "Computed histograms in " + str(int(end - hogedTime)) + 'sec'
- print "Histogram shape : " +str(histograms.shape)
- print "Total time : " + str(end-start) + 'sec'
+ logging.debug("Computed histograms in " + str(int(end - hogedTime)) + 'sec')
+ logging.debug("Histogram shape : " +str(histograms.shape))
+ logging.debug("Total time : " + str(end-start) + 'sec')
#hogs = extractHOGFeature(testNpImages, CELL_DIMENSION, \
# NB_ORIENTATIONS, NB_CLUSTERS, MAXITER)