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from d_people import analysis_video
# 原视频文件路径
video_path = r " xznsh \ scrfd-opencv \ xznsh_paddle_scrfd \ data \ xj_video.mp4 "
# result存放路径
result_video_path = r " xznsh \ scrfd-opencv \ xznsh_paddle_scrfd \ result \ video.mp4 "
# 使用目标检测巡检人员模型 ：
people_modle_path = r " xznsh \ scrfd-opencv \ xznsh_paddle_scrfd \ weights \ people_modle.pt "
# 人脸检测模型 使用paddle_scrfd模型中的：
face_modle_path = r ' xznsh \ scrfd-opencv \ xznsh_paddle_scrfd \ weights \ face_model.onnx '
# 使用拉门模型
action_modle_path = r ' xznsh \ scrfd-opencv \ xznsh_paddle_scrfd \ weights \ action_recognition.pt '
diff_xj , face_flag_xj , face_time , action_frame_xj , action_s_xj = analysis_video ( video_path , result_video_path , people_modle_path , face_modle_path , action_modle_path )
print ( " 这个视频中巡检人员实际停留的时间为： {} 秒 " . format ( diff_xj ) )
print ( " 视频中出现过 {} 次巡检员环视的动作,分别位于视频第 {} 秒 " . format ( face_flag_xj [ " face " ] , face_time ) )
print ( " 视频中出现过 {} 次巡检员巡检ATM机的动作,分别位于视频第 {} 秒 " . format ( action_frame_xj [ " action " ] , action_s_xj ) )