  
          return img_list
  
      def sort_hist(self):
          """ Sort by histogram of face similarity """
          input_dir = self.args.input_dir
  
          logger.info("Sorting by histogram similarity...")
  
          img_list = [
              [img, cv2.calcHist([read_image(img, raise_error=True)], [0], None, [256], [0, 256])]
              for img in
 
</s> remove         """ Sort by histigram of face dissimilarity """
        input_dir = self.args.input_dir

 </s> add         """ Sort by image histogram dissimilarity """ </s> remove         img_list = [
            [img, cv2.calcHist([read_image(img, raise_error=True)], [0], None, [256], [0, 256])]
            for img in
            tqdm(self.find_images(input_dir), desc="Loading", file=sys.stdout)
        ]
 </s> add         logger.info("Calculating histograms...")
        histograms = [cv2.calcHist([img], [0], None, [256], [0, 256]) for img in image_list]
        img_list = list(zip(filename_list, histograms)) </s> remove         img_list = [
            [img,
             cv2.calcHist([read_image(img, raise_error=True)], [0], None, [256], [0, 256]), 0]
            for img in
            tqdm(self.find_images(input_dir), desc="Loading", file=sys.stdout)
        ]
 </s> add         logger.info("Calculating histograms...")
        histograms = [cv2.calcHist([img], [0], None, [256], [0, 256]) for img in image_list]
        img_list = list(list(items) for items in zip(filename_list, histograms, scores)) </s> remove         img_list = []
        for img in tqdm(self.find_images(input_dir),
                        desc="Loading",
                        file=sys.stdout):
            landmarks = self.get_landmarks(img)
            img_list.append(
                [img, self.calc_landmarks_face_yaw(np.array(landmarks))])

        logger.info("Sorting by face-yaw...")
        img_list = sorted(img_list, key=operator.itemgetter(1), reverse=True)
 </s> add         logger.info("Estimating yaw...")
        yaws = [self.calc_landmarks_face_yaw(mark) for mark in landmarks]
        """ Sort by image histogram similarity """
  
          return img_list
  
      def sort_hist(self):
        """ Sort by image histogram similarity """
        """ Sort by image histogram similarity """
        """ Sort by image histogram similarity """
          logger.info("Sorting by histogram similarity...")
  
          img_list = [
              [img, cv2.calcHist([read_image(img, raise_error=True)], [0], None, [256], [0, 256])]
              for img in
keep keep keep keep replace replace replace keep keep keep keep keep
 ENHANCEMENT: Sort image multi-threading and code clarity (#912)

* Use multi-threaded loading

* fast reload

* remove landmark stub

* saves

* correct face sort

* pep8 
tools/sort.py