                      if score < current_best[1]:
                          current_best[0], current_best[1] = key, score
  
                  if current_best[1] < min_threshold:
                      reference_groups[current_best[0]].append(f1encs[0])
                      bins[current_best[0]].append(img_list[i][0])
                  else:
                      reference_groups[len(reference_groups)] = img_list[i][1]
                      bins.append([img_list[i][0]])
  
 
</s> remove                     reference_groups[len(reference_groups)] = img_list[i][1]
 </s> add                     reference_groups[len(reference_groups)] = [img_list[i][1]] </s> remove                     except TypeError:
                        score = float("inf")
                    except ZeroDivisionError:
 </s> add                     except (TypeError, ValueError, ZeroDivisionError): </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             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):
                    reference_groups[current_best[0]].append(f1encs)
                      if score < current_best[1]:
                          current_best[0], current_best[1] = key, score
  
                  if current_best[1] < min_threshold:
                    reference_groups[current_best[0]].append(f1encs)
                      bins[current_best[0]].append(img_list[i][0])
                  else:
                      reference_groups[len(reference_groups)] = img_list[i][1]
                      bins.append([img_list[i][0]])
  
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