      def detect_faces(self, load_queue, filename, image):
          """ Extract the face from a frame (If alignments file not found) """
          inp = {"filename": filename,
                 "image": image}
          load_queue.put(inp)
          faces = next(self.extractor.detect_faces())
  
          landmarks = faces["landmarks"]
          detected_faces = faces["detected_faces"]
          final_faces = list()
  
 
</s> remove     def detect_faces(self, load_queue, filename, image):
 </s> add     def detect_faces(self, filename, image): </s> remove             detected_faces = self.detect_faces(extract_queue, filename, image)
 </s> add             detected_faces = self.detect_faces(filename, image) </s> remove     def output_faces(self, filename, faces, save_queue):
 </s> add     def output_faces(self, filename, faces): </s> remove     def get_detected_faces(self, filename, image, extract_queue):
 </s> add     def get_detected_faces(self, filename, image): </s> remove         self.threaded_io("reload", detected_faces)
 </s> add         if not self.verify_output and faces_count > 1:
            self.verify_output = True
        self.extractor.input_queue.put(inp)
        faces = next(self.extractor.detected_faces())
      def detect_faces(self, load_queue, filename, image):
          """ Extract the face from a frame (If alignments file not found) """
          inp = {"filename": filename,
                 "image": image}
        self.extractor.input_queue.put(inp)
        faces = next(self.extractor.detected_faces())
        self.extractor.input_queue.put(inp)
        faces = next(self.extractor.detected_faces())
  
          landmarks = faces["landmarks"]
          detected_faces = faces["detected_faces"]
          final_faces = list()
  
keep keep keep keep replace replace keep keep keep keep keep
 Face filter vgg face (#724)

* Implement extraction pipeline

* Face filter to vgg_face. Resume partial model downloads

* On-the-fly conversion to extraction pipeline

* Move git model ids from get_model to model definition 
scripts/convert.py