Helo dr.strashni, I tried this, though LOG(LOG_LEVEL_ERROR) was not compiling. the output is: Available device types: dxva2 d3d11va
output does not contain cuda. but as I mentioned in my issue post, ffmpeg outputs it in hardware accelerators list. On Tue, Jul 5, 2022 at 4:59 PM Strahinja Radman <[email protected]> wrote: > > > > On 5. 7. 2022., at 11:10, Santosh Kamble <[email protected]> > wrote: > > > > Helo, > > I am trying to decode a video stream in C++ application using ffmpeg > cuda hardware acceleration. > > My windows machine has GPU is GTX1060 Update driver version 512.59 > > > > > > err = av_hwdevice_ctx_create(&hw_device_ctx, AV_HWDEVICE_TYPE_CUDA, > > NULL, NULL, 0) > > > > Function fails with errorcode -12 > > but when I pass AV_HWDEVICE_TYPE_DXVA2, it succeeds. > > > > ---------------------------- > > My observations about ffmpeg cuda compiled tool : > > I observed that cuda based image decoding and video decoding is > working fine using ffmpeg tool as below example works and use GPU for > decoding purpose. > > ex1. ffmpeg -hwaccel cuda -i "D:\myvideo.avi" output.mp4 > > ex2. ffmpeg -hwaccel cuda -i D:\myvideo.mp4 -y ./tests/%04d.jpg > > > > also the tool shows it supports cuda hardware acceleration. > > command: ffmpeg.exe -hwaccels > > output: ffmpeg version 4.4.git Copyright (c) 2000-2022 the FFmpeg > developers > > built with Microsoft (R) C/C++ Optimizing Compiler Version 19.29.30140 > for x64 > > configuration: --enable-nonfree --enable-shared --enable-ffnvcodec > --enable-cuda-llvm --enable-gpl --disable-debug --enable-cuda-nvcc > --enable-libnpp --toolchain=msvc --extra-cflags=-I../nv_sdk > --extra-ldflags='-libpath:../nv_sdk' --nvccflags='-gencode > arch=compute_60,code=sm_60 -O2' > > libavutil 57. 24.101 / 57. 24.101 > > libavcodec 59. 28.100 / 59. 28.100 > > libavformat 59. 23.100 / 59. 23.100 > > libavdevice 59. 6.100 / 59. 6.100 > > libavfilter 8. 38.100 / 8. 38.100 > > libswscale 6. 6.100 / 6. 6.100 > > libswresample 4. 6.100 / 4. 6.100 > > libpostproc 56. 5.100 / 56. 5.100 > > Hardware acceleration methods: > > cuda > > dxva2 > > d3d11va > > > > > > ----------------------------------------- > > > > > > So it looks like the compiled libraries are fine. I am missing some > other thing. > > Can someone help on this cuda based decoding using ffmpeg. > > > > > > Thanks > > Santosh > > _______________________________________________ > > Libav-user mailing list > > [email protected] > > https://ffmpeg.org/mailman/listinfo/libav-user > > > > To unsubscribe, visit link above, or email > > [email protected] with subject "unsubscribe”. > > > Hello Santosh, > > You can try this piece of code in order to get the type by name or search > for available types for your GPU. > > type = av_hwdevice_find_type_by_name("cuda"); > if (type == AV_HWDEVICE_TYPE_NONE) > { > LOG(LOG_LEVEL_ERROR) << "Device type " << "cuda" << " is not > supported."; > LOG(LOG_LEVEL_ERROR) << "Available device types:"; > while ((type = av_hwdevice_iterate_types(type)) != > AV_HWDEVICE_TYPE_NONE) > LOG(LOG_LEVEL_INFO) << av_hwdevice_get_type_name(type); > } > > > > _______________________________________________ > Libav-user mailing list > [email protected] > https://ffmpeg.org/mailman/listinfo/libav-user > > To unsubscribe, visit link above, or email > [email protected] with subject "unsubscribe". >
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