          input_dir = self.args.input_dir
  
          logger.info("Sorting by face similarity...")
  
          img_list = [[img, face_recognition.face_encodings(cv2.imread(img))]
                      for img in
                      tqdm(self.find_images(input_dir),
                           desc="Loading",
                           file=sys.stdout)]
  
 
</s> remove         img_list = [[img, face_recognition.face_encodings(cv2.imread(img)), 0]
 </s> add         img_list = [[img, self.vgg_face.predict(cv2.imread(img)), 0] </s> remove                 [img, face_recognition.face_encodings(cv2.imread(img))]
 </s> add                 [img, self.vgg_face.predict(cv2.imread(img))] </s> remove                 try:
                    score_total += face_recognition.face_distance(
                        [img_list[i][1]],
                        [img_list[j][1]])
                except:
                    logger.info("except")
                    pass
 </s> add                 score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1]) </s> remove             score = face_recognition.face_distance(f1encs, f2encs)[0]
 </s> add             score = self.vgg_face.find_cosine_similiarity(f1encs, f2encs) </s> remove     @staticmethod
    def get_avg_score_faces(f1encs, references):
 </s> add     def get_avg_score_faces(self, f1encs, references):
        img_list = [[img, self.vgg_face.predict(cv2.imread(img))]
          input_dir = self.args.input_dir
  
          logger.info("Sorting by face similarity...")
  
        img_list = [[img, self.vgg_face.predict(cv2.imread(img))]
                      for img in
                      tqdm(self.find_images(input_dir),
                           desc="Loading",
                           file=sys.stdout)]
  
keep keep keep keep replace keep keep keep keep keep
 Remove dlib (#725)

* Sort to vgg_face. Remove Face Recognition requirements

* Remove dlib components from setup.py

* Remove dlib from Windows Installer script

* Remove dlib and cmake from requirements.txt

* Update INSTALL.md to remove all dlib requirements

* Remove dlib and cmake from dockerfiles

* Windows installer. Output cli to details Window. Setup.py bugfix

* Skip FaceFilter if invalid paths passed in 
tools/sort.py