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Autres articles (77)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • Creating farms of unique websites

    13 avril 2011, par

    MediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
    This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)

  • Submit enhancements and plugins

    13 avril 2011

    If you have developed a new extension to add one or more useful features to MediaSPIP, let us know and its integration into the core MedisSPIP functionality will be considered.
    You can use the development discussion list to request for help with creating a plugin. As MediaSPIP is based on SPIP - or you can use the SPIP discussion list SPIP-Zone.

Sur d’autres sites (4047)

  • Inputing a List of Files for Concatenation with Node.js Module fluent-ffmpeg

    26 juin 2018, par carpiediem

    Version information

    • fluent-ffmpeg version : 2.1.2
    • ffmpeg version : 3.4.2
    • OS : Windows 10

    Code to reproduce

    ffmpeg('C:/path/to/list.txt').mergeToFile('C:/path/to/out.mp4', 'C:/path/to/temp');

    list.txt :

    file 'C:/path/to/chunk01.ts'
    file 'C:/path/to/chunk02.ts'
    file 'C:/path/to/chunk03.ts'
    file 'C:/path/to/chunk04.ts'

    Note : I’ve tried both absolute and relative paths, with the same result.

    Expected results

    A video file at C:/path/to/out.mp4 that matches the 4 files in list.txt, concatenated end-to-end.

    Observed results

    An empty file at C:/path/to/out.mp4 with 0 duration and only 15kB in size. No errors were thrown.

    This is the command that I’m trying to duplicate (it works as expected, with relative paths in list.txt) :

    C:/path/to> ffmpeg -f concat -i list.txt -c copy out.ts

    stdout & stderr

    stdout was empty. stderr is copied below (with file names modified to match the ones above) :

    ffmpeg version 3.4.2 Copyright (c) 2000-2018 the FFmpeg developers
     built with gcc 7.3.0 (GCC)
     configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-bzlib --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libmfx --enable-cuda --enable-cuvid --enable-d3d11va --enable-nvenc --enable-dxva2 --enable-avisynth
     libavutil      55. 78.100 / 55. 78.100
     libavcodec     57.107.100 / 57.107.100
     libavformat    57. 83.100 / 57. 83.100
     libavdevice    57. 10.100 / 57. 10.100
     libavfilter     6.107.100 /  6.107.100
     libswscale      4.  8.100 /  4.  8.100
     libswresample   2.  9.100 /  2.  9.100
     libpostproc    54.  7.100 / 54.  7.100
    Input #0, tty, from 'C:/path/to/list.txt':
     Duration: 00:00:00.08, bitrate: 42 kb/s
       Stream #0:0: Video: ansi, pal8, 640x400, 25 fps, 25 tbr, 25 tbn, 25 tbc
    Stream mapping:
     Stream #0:0 (ansi) -> concat
     concat -> Stream #0:0 (libx264)
    Press [q] to stop, [?] for help
    [libx264 @ 000001e385b45040] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
    [libx264 @ 000001e385b45040] profile High 4:4:4 Predictive, level 3.0, 4:4:4 8-bit
    [libx264 @ 000001e385b45040] 264 - core 155 r2901 7d0ff22 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x1:0x111 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=6 lookahead_threads=1 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 'C:/path/to/out.mp4':
     Metadata:
       encoder         : Lavf57.83.100
       Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv444p, 640x400, q=-1--1, 25 fps, 12800 tbn, 25 tbc
       Metadata:
         encoder         : Lavc57.107.100 libx264
       Side data:
         cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
    frame=    2 fps=0.0 q=-1.0 Lsize=      15kB time=00:00:00.04 bitrate=3099.0kbits/s speed=1.55x
    video:14kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 5.619430%
    [libx264 @ 000001e385b45040] frame I:1     Avg QP:12.71  size:  8083
    [libx264 @ 000001e385b45040] frame P:1     Avg QP:29.71  size:  5928
    [libx264 @ 000001e385b45040] mb I  I16..4: 87.9%  0.0% 12.1%
    [libx264 @ 000001e385b45040] mb P  I16..4:  9.3%  0.0%  0.0%  P16..4:  0.4%  0.0%  0.0%  0.0%  0.0% skip:90.3%
    [libx264 @ 000001e385b45040] coded y,u,v intra: 17.9% 0.0% 0.0% inter: 0.1% 0.0% 0.0%
    [libx264 @ 000001e385b45040] i16 v,h,dc,p: 88%  8%  4%  0%
    [libx264 @ 000001e385b45040] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 28% 31% 19%  3%  2%  3%  7%  4%  3%
    [libx264 @ 000001e385b45040] Weighted P-Frames: Y:0.0% UV:0.0%
    [libx264 @ 000001e385b45040] kb/s:1401.10
  • Adds TensorFlow backend for dnn inference module.

    3 juin 2018, par Sergey Lavrushkin
    Adds TensorFlow backend for dnn inference module.
    

    Signed-off-by : Pedro Arthur <bygrandao@gmail.com>

    • [DH] Changelog
    • [DH] configure
    • [DH] libavfilter/Makefile
    • [DH] libavfilter/dnn_backend_tf.c
    • [DH] libavfilter/dnn_backend_tf.h
    • [DH] libavfilter/dnn_interface.c
    • [DH] libavfilter/dnn_interface.h
    • [DH] libavfilter/dnn_srcnn.h
    • [DH] libavfilter/vf_srcnn.c
  • Adds dnn inference module for simple convolutional networks. Reimplements srcnn filte...

    25 mai 2018, par Sergey Lavrushkin
    Adds dnn inference module for simple convolutional networks. Reimplements srcnn filter based on it.
    

    Signed-off-by : Pedro Arthur <bygrandao@gmail.com>

    • [DH] Changelog
    • [DH] libavfilter/Makefile
    • [DH] libavfilter/dnn_backend_native.c
    • [DH] libavfilter/dnn_backend_native.h
    • [DH] libavfilter/dnn_interface.c
    • [DH] libavfilter/dnn_interface.h
    • [DH] libavfilter/dnn_srcnn.h
    • [DH] libavfilter/vf_srcnn.c
    • [DH] libavfilter/vf_srcnn.h