Use ffmpeg and NVCodec to hardware decode video or video stream. in DNN inference system
Video.mp4 -> cuvid(GPU Decoder) -> GPU Memory -> Normialize Cuda Kernel ->
float* Channel based -> DNN Inference
Input Format: Supported File/USB Camera/RTSP/RTMP/CustomStream etc.
Normialize Kernel: Subtract mean and divide std, convert YUV to BGR or RGB
Camera/Other Source -> nvenc(GPU Encoder) -> Custom Memory Stream/File
Output Format: Only supported mp4
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ffmpeg 4.2
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nasm 2.14.02
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nv-codec-headers
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opencv 4.2.0 [optional]
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nvcodec-VideoCodecSDK 10.0.26
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cuda 10.2
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x264-snapshot-20190704-2245-stable
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GPU 2080Ti [optional]
Or download all lean code ffmpeg.hw.lean.code.tar.gz
- note: /datav/newbb/lean is root directory
- /datav/newbb/lean/build lean code directory
- /datav/newbb/lean/lean lean build result binary directory
Change the directory in *_build file, to your path
> mkdir build && mkdir lean
> cd build
> tar -zxvf ../ffmpeg.hw.lean.code.tar.gz
> mv Video_Codec_SDK_10.0.26 ../lean/- Change /datav/newbb/lean to your path, after to run this code
> bash nasm_build
> bash nvcodec_build
> bash x264_build
> bash ffmpeg_build
> bash opencv_build> make run -j8