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Autres articles (51)

  • 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

  • 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 (...)

  • 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 (...)

Sur d’autres sites (7977)

  • pngenc : Fix incorrect mask used for interlaced mode.

    20 mars 2012, par Michael Niedermayer

    pngenc : Fix incorrect mask used for interlaced mode.

  • drawutils : implement uniform and mask blending.

    28 mars 2012, par Nicolas George

    drawutils : implement uniform and mask blending.

  • Creating a transparent color mask that covers half of every frame in a video with opencv/moviepy/ffmpeg

    24 octobre 2019, par Nyktofob

    I’m doing a pose estimation in rats separated into two compartments of a cage. To make my tracking better I want to put a transparent color mask that covers half of every frame so that one of the rats will appear to the neural net as being of different color, thus making it easier for the net to differentiate those rats. My question is : Is there any easy way to do this using python (moviepy/opencv/ffmpeg) ?

    Bare in mind, I’m completely new to python, so I’d appreciate any recommendation of a tutorial or detailed answer.

    I tried using blender to do this, but failed miserably.

    I expect to be able to modify the video, so that there will be a rectangular transparent mask in some color that covers certain part of every frame (Let’s say video is 1920x1080 pixels, so from pixel 960 on x axis everything to the right is transparently green)

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