              score = cv2.compareHist(img1, img2, cv2.HISTCMP_BHATTACHARYYA)
              scores.append(score)
          return sum(scores) / len(scores)
  
      @staticmethod
      def get_avg_score_faces(f1encs, references):
          """ Return the average similarity score between a face and
              reference image """
          scores = []
          for f2encs in references:
              score = face_recognition.face_distance(f1encs, f2encs)[0]
 
</s> remove             score = face_recognition.face_distance(f1encs, f2encs)[0]
 </s> add             score = self.vgg_face.find_cosine_similiarity(f1encs, f2encs) </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                     except TypeError:
                        score = float("inf")
                    except ZeroDivisionError:
 </s> add                     except (TypeError, ValueError, ZeroDivisionError): </s> remove             Face Alignment was built to expect a DLIB bounding
            box and calculates center and scale based on that.
 </s> add  </s> remove                     reference_groups[current_best[0]].append(f1encs[0])
 </s> add                     reference_groups[current_best[0]].append(f1encs)
    def get_avg_score_faces(self, f1encs, references):
              score = cv2.compareHist(img1, img2, cv2.HISTCMP_BHATTACHARYYA)
              scores.append(score)
          return sum(scores) / len(scores)
  
    def get_avg_score_faces(self, f1encs, references):
    def get_avg_score_faces(self, f1encs, references):
          """ Return the average similarity score between a face and
              reference image """
          scores = []
          for f2encs in references:
              score = face_recognition.face_distance(f1encs, f2encs)[0]
keep keep keep keep 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