  
      def sort_face_yaw(self):
          input_dir = self.args.input_dir
  
          img_list = []
          for img in tqdm(self.find_images(input_dir),
                          desc="Loading",
                          file=sys.stdout):
 
</s> remove         for x in tqdm(self.find_images(input_dir),
                      desc="Loading",
                      file=sys.stdout):
            d = face_alignment.Extract(
                input_image_bgr=cv2.imread(x),
 </s> add         for img in tqdm(self.find_images(input_dir),
                        desc="Loading",
                        file=sys.stdout):
            landmarks = face_alignment.Extract(
                input_image_bgr=cv2.imread(img), </s> remove         img_list = [[x, self.estimate_blur(cv2.imread(x))]
                    for x in
 </s> add         img_list = [[img, self.estimate_blur(cv2.imread(img))]
                    for img in </s> remove         for x in tqdm(self.find_images(input_dir),
                      desc="Loading",
                      file=sys.stdout):
            d = face_alignment.Extract(
                input_image_bgr=cv2.imread(x),
 </s> add         for img in tqdm(self.find_images(input_dir),
                        desc="Loading",
                        file=sys.stdout):
            landmarks = face_alignment.Extract(
                input_image_bgr=cv2.imread(img), </s> remove         for x in tqdm(self.find_images(input_dir),
                      desc="Loading",
                      file=sys.stdout):
            d = face_alignment.Extract(
                input_image_bgr=cv2.imread(x),
 </s> add         for img in tqdm(self.find_images(input_dir),
                        desc="Loading",
                        file=sys.stdout):
            landmarks = face_alignment.Extract(
                input_image_bgr=cv2.imread(img), </s> remove         img_list = [[x, face_recognition.face_encodings(cv2.imread(x))]
                    for x in
 </s> add         img_list = [[img, face_recognition.face_encodings(cv2.imread(img))]
                    for img in
        """ Sort by yaw of face """
  
      def sort_face_yaw(self):
        """ Sort by yaw of face """
          input_dir = self.args.input_dir
  
          img_list = []
          for img in tqdm(self.find_images(input_dir),
                          desc="Loading",
                          file=sys.stdout):
keep add keep keep keep keep keep keep
 Merge staging to Master (#470)

* DLib scaling amends (#461)

* Scaling area fix and rework of frames and bounding boxes

* Update DLib scaling and initialization

* Extract - Detector reinitialization bugfix

* Slight OriginaHightRes Model re-factoring (#464)

* Model re-factoring, might fix red screen of death on multi-gpu configurations

* Limited trainer support for various INPUT_SIZE

* Auto Extraction multiprocess bugfix

* Sort tool bugfixes and linting 
tools/sort.py