          """
          input_dir = self.args.input_dir
          logger.info("Preparing to group...")
          if group_method == 'group_blur':
              temp_list = [[img, self.estimate_blur(read_image(img, raise_error=True))]
                           for img in
                           tqdm(self.find_images(input_dir),
                                desc="Reloading",
                                file=sys.stdout)]
          elif group_method == 'group_face_cnn':
              self.launch_aligner()
              temp_list = []
              for img in tqdm(self.find_images(input_dir),
                              desc="Reloading",
 
</s> remove             self.launch_aligner()
            temp_list = []
            for img in tqdm(self.find_images(input_dir),
                            desc="Reloading",
                            file=sys.stdout):
                landmarks = self.get_landmarks(img)
                temp_list.append([img, np.array(landmarks)
                                  if landmarks
                                  else np.zeros((68, 2))])
 </s> add             filename_list, image_list, landmarks = self._get_landmarks()
            temp_list = list(zip(filename_list, landmarks)) </s> remove             self.launch_aligner()
            temp_list = []
            for img in tqdm(self.find_images(input_dir),
                            desc="Reloading",
                            file=sys.stdout):
                landmarks = self.get_landmarks(img)
                temp_list.append(
                    [img,
                     self.calc_landmarks_face_yaw(np.array(landmarks))])
 </s> add             filename_list, image_list, landmarks = self._get_landmarks()
            yaws = [self.calc_landmarks_face_yaw(mark) for mark in landmarks]
            temp_list = list(zip(filename_list, yaws)) </s> remove             temp_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="Reloading",
                     file=sys.stdout)
            ]
 </s> add             filename_list, image_list = self._get_images()
            histograms = [cv2.calcHist([img], [0], None, [256], [0, 256]) for img in image_list]
            temp_list = list(zip(filename_list, histograms)) </s> remove         input_dir = self.args.input_dir

        logger.info("Sorting by blur...")
        img_list = [[img, self.estimate_blur(img)]
                    for img in
                    tqdm(self.find_images(input_dir),
                         desc="Loading",
                         file=sys.stdout)]
        logger.info("Sorting...")
 </s> add         logger.info("Sorting by estimated image blur...")
        filename_list, image_list = self._get_images() </s> remove         logger.info("Sorting by face-cnn similarity...")
        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, np.array(landmarks)
                             if landmarks
                             else np.zeros((68, 2))])

        queue_manager.terminate_queues()
 </s> add         logger.info("Comparing landmarks and sorting...")
            filename_list, image_list = self._get_images()
            blurs = [self.estimate_blur(img) for img in image_list]
            temp_list = list(zip(filename_list, blurs))
          """
          input_dir = self.args.input_dir
          logger.info("Preparing to group...")
          if group_method == 'group_blur':
            filename_list, image_list = self._get_images()
            blurs = [self.estimate_blur(img) for img in image_list]
            temp_list = list(zip(filename_list, blurs))
            filename_list, image_list = self._get_images()
            blurs = [self.estimate_blur(img) for img in image_list]
            temp_list = list(zip(filename_list, blurs))
            filename_list, image_list = self._get_images()
            blurs = [self.estimate_blur(img) for img in image_list]
            temp_list = list(zip(filename_list, blurs))
            filename_list, image_list = self._get_images()
            blurs = [self.estimate_blur(img) for img in image_list]
            temp_list = list(zip(filename_list, blurs))
            filename_list, image_list = self._get_images()
            blurs = [self.estimate_blur(img) for img in image_list]
            temp_list = list(zip(filename_list, blurs))
          elif group_method == 'group_face_cnn':
              self.launch_aligner()
              temp_list = []
              for img in tqdm(self.find_images(input_dir),
                              desc="Reloading",
keep keep keep keep replace replace 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