          resized_faces = list()
          t_mats = list()
  
          for face in detected_faces:
              resized_face, t_mat = self.extract.extract(image,
                                                         face,
                                                         self.size,
                                                         self.align_eyes)
              resized_faces.append(resized_face)
              t_mats.append(t_mat)
  
          output["resized_faces"] = resized_faces
          output["t_mats"] = t_mats
  
      # <<< MISC METHODS >>> #
      def get_vram_free(self):
          """ Return free and total VRAM on card with most VRAM free"""
          stats = GPUStats()
 
</s> remove         resized_faces = list()
        t_mats = list()

 </s> add  </s> remove         """ Return faces and transformed face matrices
 </s> add         """ Return faces and transformed landmarks </s> remove         self.faces = list()
        self.matrices = list()
        alignments = self.alignments.get_alignments_for_frame(frame)
 </s> add         alignments = self.alignments.get_faces_in_frame(frame) </s> remove         self.matrices = list()
 </s> add 
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
          resized_faces = list()
          t_mats = list()
  
          for face in detected_faces:
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
            face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes)
  
      # <<< MISC METHODS >>> #
      def get_vram_free(self):
          """ Return free and total VRAM on card with most VRAM free"""
          stats = GPUStats()
keep keep keep keep replace replace replace replace replace replace replace replace replace keep keep keep keep keep
 Fix convert-adjust (#531)

* Add dimensions to alignments + refactor

* Add frame_dims + funcs to DetectFaces. Add alignments lib

* Convert Adjust working

* Refactor and tidy up 
plugins/extract/align/_base.py