old SAE model will not work with this update.

Fixed bug when SAE can be collapsed during a time.

SAE: removed CA weights and encoder/decoder dims.

added new options:

Encoder dims per channel (21-85 ?:help skip:%d)
More encoder dims help to recognize more facial features, but require more VRAM. You can fine-tune model size to fit your GPU.

Decoder dims per channel (11-85 ?:help skip:%d)
More decoder dims help to get better details, but require more VRAM. You can fine-tune model size to fit your GPU.

Add residual blocks to decoder? (y/n, ?:help skip:n) :
These blocks help to get better details, but require more computing time.

Remove gray border? (y/n, ?:help skip:n) :
Removes gray border of predicted face, but requires more computing resources.

converters/Converter.py

@@ -13,6 +13,11 @@ class Converter(object):
         self.predictor_func = predictor_func
         self.type = type
 
+    #overridable
+    def on_cli_initialize(self):
+        #cli initialization
+        pass
+
     #overridable
     def convert_face (self, img_bgr, img_face_landmarks, debug):
         #return float32 image