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    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
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  • MediaSPIP version 0.1 Beta

    16 avril 2011, par

    MediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
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    Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
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    5 septembre 2013, par

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Sur d’autres sites (13851)

  • ffmpeg : "Impossible to convert between the formats" when using Cuda hardware acceleration

    21 août 2020, par MorenoGentili

    I'm using ffmpeg from the command line on Windows 10 and I wanted to gave Cuda a try to improve execution times. A simple cut command like this works fine and its execution time is reduced by 60-70%. Awesome.

    



    ffmpeg -hwaccel cuvid -c:v h264_cuvid -ss 00:00:10 -i in.mp4 -c:v h264_nvenc out.mp4


    



    Now I tried to use the -filter_complex flag to overlay, fade and translate a png image over a video. The working non-cuda enhanced command is this one :

    



    ffmpeg -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), (t-30)*10, NAN)'" -movflags +faststart out.mp4


    



    Then, I added the cuda-related flags to the command like this.

    



    ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), 60-tanh((t-30)*30/5)*60, NAN)'" -movflags +faststart -c:v h264_nvenc out.mp4


    



    But it won't work. I get this error.

    



    Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0


    



    I don't even know what it means. Can I actually run ANY ffmpeg command on the GPU with Cuda ? I've found some information about the hwupload_cuda flag but I'm not sure if I should use it and how. My attempts have failed so far.
Any advice on how I should modify the command to make it work on the GPU ?
Thanks.

    


  • ffmpeg : "Impossible to convert between the formats" when using NVIDIA GPU hardware acceleration

    24 mai 2021, par MorenoGentili

    I'm using ffmpeg from the command line on Windows 10 and I wanted to gave GPU acceleration a try to improve execution times. A simple cut command like this works fine and its execution time is reduced by 60-70%. Awesome.

    


    ffmpeg -hwaccel cuvid -c:v h264_cuvid -ss 00:00:10 -i in.mp4 -c:v h264_nvenc out.mp4


    


    Now I tried to use the -filter_complex flag to overlay, fade and translate a png image over a video. The working non-GPU enhanced command is this one :

    


    ffmpeg -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), (t-30)*10, NAN)'" -movflags +faststart out.mp4


    


    Then, I added the GPU-related flags to the command like this.

    


    ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), 60-tanh((t-30)*30/5)*60, NAN)'" -movflags +faststart -c:v h264_nvenc out.mp4


    


    But it won't work. I get this error.

    


    Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0


    


    I don't even know what it means. Can I actually run ANY ffmpeg command on the GPU with GPU acceleration ? I've found some information about the hwupload_cuda flag but I'm not sure if I should use it and how. My attempts have failed so far.

    


    Any advice on how I should modify the command to make it work on the GPU ?

    


  • "Pixel format 'yuvj420p' is not supported" when converting image to video using CUDA hardware acceleration

    11 février 2020, par laurent

    I’m trying to convert an image to a video using CUDA hardware acceleration but I can’t get it to work.

    The basic command I have is this one :

    ffmpeg -y -hwaccel cuvid -i tests/MediaSamples/portrait_0.jpg -t 10 out.mp4

    And I’m getting this error :

    [AVHWFramesContext @ 0x32d3f00] Pixel format 'yuvj420p' is not supported
    [mjpeg @ 0x2d18480] Error initializing a CUDA frame pool
    cuvid hwaccel requested for input stream #0:0, but cannot be initialized.
    Error while decoding stream #0:0: Invalid argument

    I’ve tried setting the pixel format like so, but that didn’t help :

    ffmpeg -y -hwaccel cuvid -pix_fmt yuv420p -i tests/MediaSamples/portrait_0.jpg -t 10 out.mp4

    I’ve also tried many other flags but can’t get anything to work. Any idea what the issue might be ?

    For information this is the full log :

    ffmpeg version N-96615-gc35382a Copyright (c) 2000-2020 the FFmpeg developers
     built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.12) 20160609
     configuration: --enable-nonfree --disable-shared --enable-gpl --enable-openssl --enable-libx264 --enable-cuda-sdk --enable-nvenc --enable-cuda --enable-cuvid --enable-libnpp --extra-cflags='-I/usr/local/ssl/include -I/usr/local/cuda/include -I/usr/local/include -L/usr/local/ssl/lib -Wl,-rpath=/usr/local/ssl/lib' --extra-ldflags=-L/usr/local/cuda/lib64
     libavutil      56. 38.100 / 56. 38.100
     libavcodec     58. 67.101 / 58. 67.101
     libavformat    58. 37.100 / 58. 37.100
     libavdevice    58.  9.103 / 58.  9.103
     libavfilter     7. 73.100 /  7. 73.100
     libswscale      5.  6.100 /  5.  6.100
     libswresample   3.  6.100 /  3.  6.100
     libpostproc    55.  6.100 / 55.  6.100
    Input #0, image2, from 'tests/MediaSamples/portrait_0.jpg':
     Duration: 00:00:00.04, start: 0.000000, bitrate: 40237 kb/s
       Stream #0:0: Video: mjpeg (Progressive), yuvj420p(pc, bt470bg/unknown/unknown), 1600x900 [SAR 72:72 DAR 16:9], 25 tbr, 25 tbn, 25 tbc
    Stream mapping:
     Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
    Press [q] to stop, [?] for help
    [AVHWFramesContext @ 0x32d3f00] Pixel format 'yuvj420p' is not supported
    [mjpeg @ 0x2d18480] Error initializing a CUDA frame pool
    cuvid hwaccel requested for input stream #0:0, but cannot be initialized.
    Error while decoding stream #0:0: Invalid argument
    [libx264 @ 0x2d1e840] using SAR=1/1
    [libx264 @ 0x2d1e840] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 AVX2 LZCNT BMI2
    [libx264 @ 0x2d1e840] profile High, level 4.0
    [libx264 @ 0x2d1e840] 264 - core 148 r2643 5c65704 - H.264/MPEG-4 AVC codec - Copyleft 2003-2015 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=24 lookahead_threads=4 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
    Output #0, mp4, to 'out.mp4':
     Metadata:
       encoder         : Lavf58.37.100
       Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuvj420p(pc), 1600x900 [SAR 72:72 DAR 16:9], q=-1--1, 25 fps, 12800 tbn, 25 tbc
       Metadata:
         encoder         : Lavc58.67.101 libx264
       Side data:
         cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
    frame=    0 fps=0.0 q=0.0 Lsize=       0kB time=00:00:00.00 bitrate=N/A speed=   0x
    video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
    Conversion failed!