              tqdm.write("No alignment found for {}, "
                         "skipping".format(frame))
          return have_alignments
  
      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())
 
</s> remove         load_queue.put(inp)
        faces = next(self.extractor.detect_faces())
 </s> add         self.extractor.input_queue.put(inp)
        faces = next(self.extractor.detected_faces()) </s> remove             detected_faces = self.detect_faces(extract_queue, filename, image)
 </s> add             detected_faces = self.detect_faces(filename, image) </s> remove     def get_detected_faces(self, filename, image, extract_queue):
 </s> add     def get_detected_faces(self, filename, image): </s> remove     def output_faces(self, filename, faces, save_queue):
 </s> add     def output_faces(self, filename, faces): </s> remove         filter_lists = kwargs["filter_lists"]
        ref_threshold = kwargs.get("ref_threshold", 0.6)
        self.filter = self.load_face_filter(filter_lists, ref_threshold)
 </s> add         logger.info("Extracting and aligning face for Face Filter...")
        self.filter = self.load_face_filter(**kwargs)
    def detect_faces(self, filename, image):
              tqdm.write("No alignment found for {}, "
                         "skipping".format(frame))
          return have_alignments
  
    def detect_faces(self, 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())
keep keep keep keep 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