Streamlit에서 추론된 영상이 보이지 않는 버그 #36
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nanpuhaha
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- fourcc = cv2.VideoWriter_fourcc(*'MP4V')
+ fourcc = cv2.VideoWriter_fourcc(*'H264')저도 이 방식으로 video_demo.py의 코드를 수정해봤는데 장원님은 나오나요??? |
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@JKbin 혹시 ubuntu 에서 opencv 로 h264 codec 비디오 파일 만들기와 동일한 에러가 발생하나요? |
nanpuhaha
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python demo/video_demo.py \
/opt/ml/input/final-project-level3-cv-17/mmyolo/demo/demo.mp4 \
/opt/ml/input/final-project-level3-cv-17/mmyolo/work_dirs/yolov8_l_syncbn_fast_8xb16-500e_coco/yolov8_l_syncbn_fast_8xb16-500e_coco.py \
/opt/ml/input/final-project-level3-cv-17/mmyolo/work_dirs/yolov8_l_syncbn_fast_8xb16-500e_coco/epoch_300.pth \
--out /opt/ml/input/delete/test.mp4
02/02 04:11:39 - mmengine - WARNING - The "model" registry in mmyolo did not set import location. Fallback to call `mmyolo.utils.register_all_modules` instead.
02/02 04:11:40 - mmengine - WARNING - The "model" registry in mmdet did not set import location. Fallback to call `mmdet.utils.register_all_modules` instead.
02/02 04:11:40 - mmengine - WARNING - The "task util" registry in mmyolo did not set import location. Fallback to call `mmyolo.utils.register_all_modules` instead.
02/02 04:11:40 - mmengine - WARNING - The "task util" registry in mmdet did not set import location. Fallback to call `mmdet.utils.register_all_modules` instead.
Loads checkpoint by local backend from path: /opt/ml/input/final-project-level3-cv-17/mmyolo/work_dirs/yolov8_l_syncbn_fast_8xb16-500e_coco/epoch_300.pth
02/02 04:11:48 - mmengine - WARNING - The "transform" registry in mmyolo did not set import location. Fallback to call `mmyolo.utils.register_all_modules` instead.
02/02 04:11:48 - mmengine - WARNING - The "transform" registry in mmdet did not set import location. Fallback to call `mmdet.utils.register_all_modules` instead.
02/02 04:11:48 - mmengine - WARNING - The "visualizer" registry in mmyolo did not set import location. Fallback to call `mmyolo.utils.register_all_modules` instead.
02/02 04:11:48 - mmengine - WARNING - The "visualizer" registry in mmdet did not set import location. Fallback to call `mmdet.utils.register_all_modules` instead.
/opt/conda/envs/open-mmlab/lib/python3.8/site-packages/mmengine/visualization/visualizer.py:170: UserWarning: `Visualizer` backend is not initialized because save_dir is None.
warnings.warn('`Visualizer` backend is not initialized '
OpenCV: FFMPEG: tag 0x34363248/'H264' is not supported with codec id 27 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x31637661/'avc1'
[ERROR:0@14.933] global cap_ffmpeg_impl.hpp:2991 open Could not find encoder for codec_id=27, error: Encoder not found
[ERROR:0@14.933] global cap_ffmpeg_impl.hpp:3066 open VIDEOIO/FFMPEG: Failed to initialize VideoWriter
[ ] 0/67, elapsed: 0s, ETA:/opt/conda/envs/open-mmlab/lib/python3.8/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1639180588308/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 67/67, 2.8 task/s, elapsed: 24s, ETA: 0s실행 명령어가 잘못되었을까요?? |
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일단 기존의 inference 된 (인코딩: mpeg4) 비디오 파일을 /usr/bin/ffmpeg -i input.mp4 -vcodec libx264 output.mp4명령어를 이용해서 h264 인코딩으로 바꾸니 streamlit에서 정상적으로 실행은 되었습니다. |
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Steamlit 공식 문서를 살펴보면, MP4V 인코딩으로 내보낸 영상은 재생되지 않는다고 적혀있다.
공식 문서에서 언급한 StackOverflow post를 보면, 아래와 같이 수정하면 된다고 한다.
이미 MP4V 인코딩으로 추론한 경우
인코딩 확인하는 방법 :
ffprobeH264 인코딩으로 변환하는 방법:
ffmpegffmpeg usage to encode a video to h264 codec format (StackOverflow)
ubuntu 에서 opencv 로 h264 codec 비디오 파일 만들기
➜ ffmpeg -i input.mp4 -vcodec libx264 -acodec aac output.mp4 ➜ ffmpeg -i input.mp4 -vcodec libx264 output.mp4 # Unknown encoder 'libx264' 라고 뜨는 경우, 아래와 같이 /usr/bin 아래의 ffmpeg를 사용하면 된다. ➜ /usr/bin/ffmpeg -i input.mp4 -vcodec libx264 output.mp4The text was updated successfully, but these errors were encountered: