SAE : WARNING, RETRAIN IS REQUIRED !

fixed model sizes from previous update.
avoided bug in ML framework(keras) that forces to train the model on random noise.

Converter: added blur on the same keys as sharpness

Added new model 'TrueFace'. This is a GAN model ported from https://github.com/NVlabs/FUNIT
Model produces near zero morphing and high detail face.
Model has higher failure rate than other models.
Keep src and dst faceset in same lighting conditions.

samplelib/SampleGeneratorBase.py

@@ -6,7 +6,7 @@ You can implement your own SampleGenerator
 class SampleGeneratorBase(object):
 
 
-    def __init__ (self, samples_path, debug, batch_size):
+    def __init__ (self, samples_path, debug=False, batch_size=1):
         if samples_path is None:
             raise Exception('samples_path is None')
 
@@ -25,6 +25,10 @@ class SampleGeneratorBase(object):
         self.last_generation = next(self)
         return self.last_generation
         
+    #overridable
+    def get_total_sample_count(self):
+        return 0
+        
     #overridable
     def __iter__(self):
         #implement your own iterator