face_detection_v1.py 文件源码

def __get_uniq_faces_curr_frame_template_match(self, frame_id, frame_prev, faces_roi):
        logger.info("[{0}] Face Similarity: # of faces in current frame - {1}".format(frame_id,
                                                                                len(faces_roi)))
        # First Time
        if frame_prev.size == 0:
            return len(faces_roi)

        uniq_faces_curr_frame = 0

        for template_roi in faces_roi:
            # Apply template Matching
            res = cv2.matchTemplate(frame_prev,
                                    template_roi,
                                    cv2.TM_CCOEFF_NORMED)
            min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
            logger.info("[{0}] {1},{2},{3},{4}".format(frame_id, min_val, max_val, min_loc, max_loc))



        logger.info("[{0}] Total Unique Faces in Current Frame: {1}".format(frame_id, uniq_faces_curr_frame))
        return uniq_faces_curr_frame