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  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

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  • Free music recognition API

    12 mars 2014, par AmirH

    I'm developing an application to recognize the music played by speakers. It records 32 seconds of the sound played and send a request via an API of music recognition. So far I used Echonest. But my api_key has been banned because of to many requests since I published my freeware, used by more than 200 users.

    So I looked for MusicBrainz but it needs the exact duration of the entire song to receive a acceptable response, duration that my application can't guess.

    So I'm looking for a free music recognition API so my freeware works. Do you know one ?

    Note : I used Echonest by :

    I tried to use MusicBrainz by :

    • capturing 32 seconds with ffmpeg

    • generating the fingerprint using Chromaprint with this command :

      fpcalc sound.mp3 > fingerprint.txt

    • sending this command via cURL :

      curl -F "client=XXX" -F "meta=recordings" -F "duration=32" -F "fingerprint=ABC" "http://api.acoustid.org/v2/lookup" > info.txt

  • avfilter/vf_dnn_processing.c : add frame size change support for planar yuv format

    21 février 2020, par Guo, Yejun
    avfilter/vf_dnn_processing.c : add frame size change support for planar yuv format

    The Y channel is handled by dnn, and also resized by dnn. The UV channels
    
are resized with swscale.
    

    The command to use espcn.pb (see vf_sr) looks like :
    
./ffmpeg -i 480p.jpg -vf format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:input=x:output=y -y tmp.espcn.jpg
    

    Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
    
Reviewed-by : Pedro Arthur <bygrandao@gmail.com>
    • [DH] doc/filters.texi
    • [DH] libavfilter/vf_dnn_processing.c

  • convert_from_tensorflow.py : add option to dump graph for visualization in tensorboard

    30 juillet 2019, par Guo, Yejun
    convert_from_tensorflow.py : add option to dump graph for visualization in tensorboard

    Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
    
Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
    • [DH] tools/python/convert.py
    • [DH] tools/python/convert_from_tensorflow.py

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