Draft: Develop

Improvements:

• Normalization using AIS_Points now raise exception if given a bad dictionary

New features:

• Added choosing fields for generating images for adding channels
• Added centering of image on last point
• Added chosing bounding box of image
• Added selecting range of values for features

skais/ais/ais_trajectory.py

@@ -306,7 +306,6 @@ class AISTrajectory(AISPoints):
         else:
             bounds = []
             if type(features) is list:
-                nb_channels = len(features)
                 features_vectors = self.df[features].to_numpy()
                 for c in features_vectors.T:
                     bounds.append((0, max(c)))
@@ -319,6 +318,8 @@ class AISTrajectory(AISPoints):
                 features_vectors = self.df[features.keys()].to_numpy()
             else:
                 raise TypeError("Type not supported")
+
+            nb_channels = len(features_vectors.T)
             data = np.zeros((height, width, nb_channels), dtype=np.float)