manual extractor: increased FPS,

sort by final : now you can specify target number of images,
converter: fix seamless mask and exception,
huge refactoring

models/ConverterBase.py

@@ -1,46 +0,0 @@
-import copy
-'''
-You can implement your own Converter, check example ConverterMasked.py
-'''
-
-class ConverterBase(object):
-    MODE_FACE = 0
-    MODE_IMAGE = 1
-    MODE_IMAGE_WITH_LANDMARKS = 2
-    
-    #overridable
-    def __init__(self, predictor):
-        self.predictor = predictor
-
-    #overridable
-    def get_mode(self):
-        #MODE_FACE calls convert_face
-        #MODE_IMAGE calls convert_image without landmarks
-        #MODE_IMAGE_WITH_LANDMARKS calls convert_image with landmarks
-        return ConverterBase.MODE_FACE
-        
-    #overridable
-    def convert_face (self, img_bgr, img_face_landmarks, debug):
-        #return float32 image        
-        #if debug , return tuple ( images of any size and channels, ...)
-        return image
-        
-    #overridable
-    def convert_image (self, img_bgr, img_landmarks, debug):
-        #img_landmarks not None, if input image is png with embedded data
-        #return float32 image        
-        #if debug , return tuple ( images of any size and channels, ...)
-        return image
-        
-    #overridable
-    def dummy_predict(self):
-        #do dummy predict here
-        pass
-
-    def copy(self):
-        return copy.copy(self)
-        
-    def copy_and_set_predictor(self, predictor):
-        result = self.copy()
-        result.predictor = predictor
-        return result