manual extractor: increased FPS,

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

converters/Converter.py

@@ -0,0 +1,40 @@
+import copy
+'''
+You can implement your own Converter, check example ConverterMasked.py
+'''
+
+class Converter(object):
+    TYPE_FACE = 0                   #calls convert_face
+    TYPE_IMAGE = 1                  #calls convert_image without landmarks
+    TYPE_IMAGE_WITH_LANDMARKS = 2   #calls convert_image with landmarks
+    
+    #overridable
+    def __init__(self, predictor_func, type):
+        self.predictor_func = predictor_func
+        self.type = type
+        
+    #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_func):
+        result = self.copy()
+        result.predictor_func = predictor_func
+        return result