              score_total = 0
              for j in range(0, img_list_len):
                  if i == j:
                      continue
                  try:
                      score_total += face_recognition.face_distance(
                          [img_list[i][1]],
                          [img_list[j][1]])
                  except:
                      logger.info("except")
                      pass
  
              img_list[i][2] = score_total
  
          logger.info("Sorting...")
          img_list = sorted(img_list, key=operator.itemgetter(2), reverse=True)
 
</s> remove                 if f1encs and f2encs:
                    score = face_recognition.face_distance(f1encs[0],
                                                           f2encs)[0]
                else:
                    score = float("inf")

 </s> add                 score = self.vgg_face.find_cosine_similiarity(f1encs, f2encs) </s> remove         img_list = [[img, face_recognition.face_encodings(cv2.imread(img))]
 </s> add         img_list = [[img, self.vgg_face.predict(cv2.imread(img))] </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         # Install conda packages first as dlib will need Cuda
 </s> add         # Install conda packages first
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
              score_total = 0
              for j in range(0, img_list_len):
                  if i == j:
                      continue
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
                score_total += self.vgg_face.find_cosine_similiarity(
                    img_list[i][1],
                    img_list[j][1])
  
              img_list[i][2] = score_total
  
          logger.info("Sorting...")
          img_list = sorted(img_list, key=operator.itemgetter(2), reverse=True)
keep keep keep keep replace replace replace replace replace replace 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