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Sur d’autres sites (11385)

  • Compile the GPU version of FFMPEG on OpenCV

    22 juin 2018, par Dyex719

    When I try to use GPU
    FFMPEG on opencv by using a command like :

    VideoCapture cap("rtsp link");

    for(;;)
    {
    mat frame;
    cap>>frame;
    }

    I don’t see any output on nvidia-smi despite compiling the GPU version of FFMPEG.

    I am trying to get FFMPEG to use GPU to improve the speed of my program. I got FFMPEG from cloning https://git.ffmpeg.org/ffmpeg.git and followed the steps here https://developer.nvidia.com/ffmpeg to get it working.

    I have validated the results using nvidia-smi dmon -i 0 and have seen that dec% increases when I run the command ffmpeg -c:v h264_cuvid -i test_video.mp4 test_output.mkv.

    I then compiled Opencv to use the GPU enabled FFMPEG, I check this by running getBuildInformation from opencv :

    Video I/O:
    DC1394 1.x: NO
    DC1394 2.x: YES (ver 2.2.4)
    FFMPEG: YES
    codec: YES (ver 58.20.103)
    format: YES (ver 58.17.100)
    util: YES (ver 56.18.102)
    swscale: YES (ver 5.2.100)
    resample: NO
    gentoo-style: YES
    GStreamer: NO
    OpenNI: NO
    OpenNI PrimeSensor Modules: NO
    OpenNI2: NO
    PvAPI: NO
    GigEVisionSDK: NO
    UniCap: NO
    UniCap ucil: NO
    V4L/V4L2: NO/YES
    XIMEA: NO
    Xine: NO
    gPhoto2: NO

    I cross-verify that I’m using the same ffmpeg (by checking the version numbers) :

    ffmpeg version N-91273-g67747c8 Copyright (c) 2000-2018 the FFmpeg developers
     built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.9) 20160609
     configuration: --enable-cuda --enable-cuvid --enable-nvenc --enable-nonfree --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64
     libavutil      56. 18.102 / 56. 18.102
     libavcodec     58. 20.101 / 58. 20.101
     libavformat    58. 17.100 / 58. 17.100
     libavdevice    58.  4.101 / 58.  4.101
     libavfilter     7. 25.100 /  7. 25.100
     libswscale      5.  2.100 /  5.  2.100
     libswresample   3.  2.100 /  3.  2.100

    Please advise me on how I should compile OpenCV to use the GPU version of FFMPEG. Thank you !

  • ffmpeg for android out of memory

    15 juin 2018, par Rafael Lima

    I’m getting an weird error when enconding a video with ffmpeg on android

    Failed to inject frame into filter network: Out of memory

    Althoug is a pretty objective error, I do believe this is some "generic message" for another problem, because the video I used for testing is 17MB and less than 11 seconds length and I’ve sucessfully tested with videos bigger than 200MB and longer than 5min

    This problem happens to any video recorded on my phone (the videos were recorded and play fine on my phone but i cant reencode them... other video h264 were encoded fine on same phone)

    this is ffmpeg output

    ffmpeg version 4.0 Copyright (c) 2000-2018 the FFmpeg developers
     built with Android (4691093 based on r316199) clang version 6.0.2 (https://android.googlesource.com/toolchain/clang 183abd29fc496f55536e7d904e0abae47888fc7f) (https://android.googlesource.com/toolchain/llvm 34361f192e41ed6e4e8f9aca80a4ea7e9856f327) (based on LLVM 6.0.2svn)
     configuration: --prefix=/home/rafa/Desktop/m4/build --target-os=android --arch=i686 --cpu=i686 --cross-prefix=/home/rafa/Desktop/m4/ndk/toolchain/i686/bin/i686-linux-android- --enable-cross-compile --cc=/home/rafa/Desktop/m4/ndk/toolchain/i686/bin/clang --cxx=/home/rafa/Desktop/m4/ndk/toolchain/i686/bin/clang++ --pkg-config=/usr/bin/pkg-config --pkg-config-flags=--static --enable-pic --enable-gpl --enable-nonfree --enable-static --disable-shared --enable-ffmpeg --disable-ffplay --disable-ffprobe --disable-doc --disable-devices --enable-libx264 --enable-libfdk-aac --enable-bsf=aac_adtstoasc --disable-asm
     libavutil      56. 14.100 / 56. 14.100
     libavcodec     58. 18.100 / 58. 18.100
     libavformat    58. 12.100 / 58. 12.100
     libavdevice    58.  3.100 / 58.  3.100
     libavfilter     7. 16.100 /  7. 16.100
     libswscale      5.  1.100 /  5.  1.100
     libswresample   3.  1.100 /  3.  1.100
     libpostproc    55.  1.100 / 55.  1.100
    Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/data/data/com.tomatedigital.toolsforinstagram/qqq.mp4':
     Metadata:
       major_brand     : mp42
       minor_version   : 0
       compatible_brands: isommp42
       creation_time   : 2018-06-09T04:28:55.000000Z
       location        : -08.0638-034.8723/
       location-eng    : -08.0638-034.8723/
       com.android.version: 7.0
     Duration: 00:00:09.06, start: 0.000000, bitrate: 17349 kb/s
       Stream #0:0(eng): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709), 1920x1080, 17088 kb/s, SAR 1:1 DAR 16:9, 30.04 fps, 30 tbr, 90k tbn, 180k tbc (default)
       Metadata:
         rotate          : 90
         creation_time   : 2018-06-09T04:28:55.000000Z
         handler_name    : VideoHandle
       Side data:
         displaymatrix: rotation of -90.00 degrees
       Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 255 kb/s (default)
       Metadata:
         creation_time   : 2018-06-09T04:28:55.000000Z
         handler_name    : SoundHandle
    Stream mapping:
     Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
     Stream #0:1 -> #0:1 (copy)
    Press [q] to stop, [?] for help
    Error reinitializing filters!
    Failed to inject frame into filter network: Out of memory
    Error while processing the decoded data for stream #0:0
    Conversion failed!
  • Compile the GPU version of FFMPEG to OpenCV

    12 juillet 2018, par Dyex719

    When I try to use GPU
    FFMPEG on opencv by using a command like :

    VideoCapture cap("rtsp link");

    for(;;)
    {
    mat frame;
    cap>>frame;
    }

    I don’t see any output on nvidia-smi despite compiling the GPU version of FFMPEG.

    I am trying to get FFMPEG to use GPU to improve the speed of my program. I got FFMPEG from cloning this and followed the steps here to get it working.

    I have validated the results using nvidia-smi dmon -i 0 and have seen that dec% increases when I run the command ffmpeg -c:v h264_cuvid -i test_video.mp4 test_output.mkv.

    I then compiled Opencv to use the GPU enabled FFMPEG, I check this by running getBuildInformation from opencv :

    Video I/O:
    DC1394 1.x: NO
    DC1394 2.x: YES (ver 2.2.4)
    FFMPEG: YES
    codec: YES (ver 58.20.103)
    format: YES (ver 58.17.100)
    util: YES (ver 56.18.102)
    swscale: YES (ver 5.2.100)
    resample: NO
    gentoo-style: YES
    GStreamer: NO
    OpenNI: NO
    OpenNI PrimeSensor Modules: NO
    OpenNI2: NO
    PvAPI: NO
    GigEVisionSDK: NO
    UniCap: NO
    UniCap ucil: NO
    V4L/V4L2: NO/YES
    XIMEA: NO
    Xine: NO
    gPhoto2: NO

    I cross-verify that I’m using the same ffmpeg (by checking the version numbers) :

    ffmpeg version N-91273-g67747c8 Copyright (c) 2000-2018 the FFmpeg developers
     built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.9) 20160609
     configuration: --enable-cuda --enable-cuvid --enable-nvenc --enable-nonfree --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64
     libavutil      56. 18.102 / 56. 18.102
     libavcodec     58. 20.101 / 58. 20.101
     libavformat    58. 17.100 / 58. 17.100
     libavdevice    58.  4.101 / 58.  4.101
     libavfilter     7. 25.100 /  7. 25.100
     libswscale      5.  2.100 /  5.  2.100
     libswresample   3.  2.100 /  3.  2.100

    Please advise me on how I should compile OpenCV to use the GPU version of FFMPEG. Thank you !