Resolve "Image creation bugs with 0 size windows"

Closes #21 (closed)

skais/process/data_augmentation/augmentation_engine.py

 import tqdm as tqdm
 
+from skais.process.data_augmentation.data_transformer import DataTransformer
 from skais.process.data_augmentation.flip import Flip
 from skais.process.data_augmentation.pipeline import Pipeline
 from skais.process.data_augmentation.translator import Translator
 
 
 class AugmentationEngine:
-    def __init__(self, translation_values, flip_values):
+    def __init__(self, translation_values=None, flip_values=None, keep_original=True):
         self.pipelines = []
+        if keep_original:
+            self.pipelines.append(DataTransformer())
 
-        for tv_long, tv_lat in translation_values:
-            self.pipelines.append(Pipeline([Translator(tv_long, tv_lat)]))
+        if translation_values is not None:
+            for tv_long, tv_lat in translation_values:
+                self.pipelines.append(Pipeline([Translator(tv_long, tv_lat)]))
 
-        for fv_meridian, fv_parallel in flip_values:
-            self.pipelines.append(Pipeline([Flip(fv_meridian, fv_parallel)]))
-
-        for tv_long, tv_lat in translation_values:
-            translator = Translator(tv_long, tv_lat)
+        if flip_values is not None:
             for fv_meridian, fv_parallel in flip_values:
-                flip = Flip(fv_meridian, fv_parallel)
-                self.pipelines.append(Pipeline([translator, flip]))
+                self.pipelines.append(Pipeline([Flip(fv_meridian, fv_parallel)]))
+
+        if flip_values is not None and translation_values is not None:
+            for tv_long, tv_lat in translation_values:
+                translator = Translator(tv_long, tv_lat)
+                for fv_meridian, fv_parallel in flip_values:
+                    flip = Flip(fv_meridian, fv_parallel)
+                    self.pipelines.append(Pipeline([translator, flip]))
 
     def transform(self, x, verbose=0):
         results = x.copy()