              roi = face.aligned.get_cropped_roi(face.aligned.size, self._legacy_size, "legacy")
              cv2.rectangle(face.aligned.face, tuple(roi[:2]), tuple(roi[2:]), (0, 0, 255), 1)
  
  
  class FaceFilter(PostProcessAction):
      """ Filter in or out faces based on input image(s). Extract or Convert
  
 
</s> remove             roi = face.aligned.get_cropped_roi(face.aligned.size, self._face_size, "face")
            cv2.rectangle(face.aligned.face, tuple(roi[:2]), tuple(roi[2:]), (0, 255, 0), 1)
 </s> add             self._annotate_face_box(face.aligned)
            self._print_stats(face.aligned)
              roi = face.aligned.get_cropped_roi(face.aligned.size, self._legacy_size, "legacy")
              cv2.rectangle(face.aligned.face, tuple(roi[:2]), tuple(roi[2:]), (0, 0, 255), 1)
            self._print_stats(face.aligned)
  
  
  class FaceFilter(PostProcessAction):
      """ Filter in or out faces based on input image(s). Extract or Convert
  
keep add keep keep keep keep keep
 Extract: Add metric information to debug images 
scripts/fsmedia.py