[FFmpeg-user] how to compile for getting yadif_cuda ?

[Viacheslav Dubrovskyi]

Hi,

Try add --enable-cuda-nvcc or --enable-cuda-llvm

It depends from it. Look to ffbuild/config.log
yadif_cuda_filter_deps_any='cuda_nvcc cuda_llvm'


20.01.2021 00:53, andrei ka пишет:
> hi all,
>
> i can't figure out  how to get yadif_cuda in my ffmpeg...
>
> i compile more or less ok ffmpeg w/ cuda (ff 4.3.1 + cuda 11.2 on ubuntu
> 20.4), i've just dropped fontconfig in ffmpeg, cuz in my first try it
> screwed up a few cuda's explected fontconfig's symbolds. so
>
> i configured :
>
> ./configure \
> --enable-libcaca \
> --enable-libfontconfig \
> --enable-libfreetype \
> --enable-libfribidi  \
> --enable-libopenjpeg \
> --enable-ffnvcodec \
> --enable-libsnappy \
> --enable-libssh \
> --enable-libzmq \
> --disable-debug \
> --disable-doc \
> --disable-ffplay \
> --enable-shared \
> --enable-avresample \
> --enable-libopencore-amrnb \
> --enable-libopencore-amrwb \
> --enable-gpl \
> --enable-libass \
> --enable-libvidstab \
> --enable-libmp3lame \
> --enable-libopus \
> --enable-libvpx \
> --enable-libwebp \
> --enable-libxcb \
> --enable-libx265 \
> --enable-libxvid \
> --enable-libx264 \
> --enable-nonfree \
> --enable-openssl \
> --enable-libfdk_aac \
> --enable-postproc \
> --enable-small \
> --enable-version3 \
> --extra-libs=-ldl \
> --prefix="${PREFIX}" \
> --enable-libopenjpeg \
> --enable-libkvazaar \
> --disable-libaom \
> --extra-libs=-lpthread \
> --enable-nvenc \
> --enable-nvdec \
> --enable-cuda \
> --enable-cuvid \
> --enable-libvmaf \
> --enable-libnpp \
> --extra-cflags="-I${PREFIX}/include -I${PREFIX}/include/ffnvcodec
> -I/usr/local/cuda/include/"  \
> --extra-ldflags="-L${PREFIX}/lib -L/usr/local/cuda/lib64
> -L/usr/local/cuda/lib32/"
>
> and binary would report :
>
> ffmpeg version 4.3.1 Copyright (c) 2000-2020 the FFmpeg developers
>    built with gcc 9 (Ubuntu 9.3.0-17ubuntu1~20.04)
>    configuration:
> --enable-libcaca
> --enable-libfreetype
> --enable-libfribidi
> --enable-libopenjpeg
> --enable-ffnvcodec
> --enable-libsnappy
> --enable-libssh
> --enable-libzmq
> --disable-debug
> --disable-doc
> --disable-ffplay
> --enable-shared
> --enable-avresample
> --enable-libopencore-amrnb
> --enable-libopencore-amrwb
> --enable-gpl
> --enable-libass
> --enable-libvidstab
> --enable-libmp3lame
>   --enable-libopus
> --enable-libvpx
> --enable-libwebp
> --enable-libxcb
> --enable-libx265
> --enable-libxvid
> --enable-libx264
> --enable-nonfree
> --enable-openssl
> --enable-libfdk_aac
> --enable-postproc
> --enable-small
> --enable-version3
> --extra-libs=-ldl
> --prefix=/opt/ffmpeg
> --enable-libopenjpeg
> --enable-libkvazaar
> --disable-libaom
> --extra-libs=-lpthread
> --enable-nvenc
> --enable-nvdec
>   --enable-cuda
> --enable-cuvid
> --enable-libvmaf
> --enable-libnpp
> --extra-cflags='-I/opt/ffmpeg/include -I/opt/ffmpeg/include/ffnvcodec
> -I/usr/local/cuda/include/' --extra-ldflags='-L/opt/ffmpeg/lib
> -L/usr/local/cuda/lib64 -L/usr/local/cuda/lib32/
>
> but yadif_cuda is not where... :
>
> doing yadif in cpu works fine :
> ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i
> 4k_30s_420p.mp4 -c:a copy -c:v h264_nvenc -vf
> hwdownload,format=nv12,yadif=mode=1,hwupload_cuda  -pix_fmt cuda -rc:v
> vbr_hq -cq:v 19 -profile:v high out1.mp4
>
> and trying (on tesla t4, amazons ) :
>   ffmpeg -init_hw_device cuda=0 -i interlaced.mp4 -vcodec h264_nvenc
> -pix_fmt cuda -preset lossless -filter_hw_device 0 -vf
> hwupload,yadif_cuda=1 -acodec copy -r 50 -f mp4 deinterlaced_yadif_cuda.mp4
>
> would yell :
> [AVFilterGraph @ 0x55bea5d7e280] No such filter: 'yadif_cuda'
>
> so, obviously, i haven't compiled it ok... anyone could wise me up what's
> missing ?
>
> i did my runs on t4 :
> CUDA Device Query (Driver API) statically linked version
> Detected 1 CUDA Capable device(s)
> Device 0: "Tesla T4"
> CUDA Driver Version:                           11.2
> CUDA Capability Major/Minor version number:    7.5
> Total amount of global memory:                 15110 MBytes (15843721216
> bytes)
>   (40) Multiprocessors, ( 64) CUDA Cores/MP:     2560 CUDA Cores
> ...
>
> tnx
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-- 
WBR,
Viacheslav Dubrovskyi


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