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  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • Amélioration de la version de base

    13 septembre 2013

    Jolie sélection multiple
    Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
    Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...)

  • 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" (...)

Sur d’autres sites (9539)

  • checkasm/hevc_pel : Fix stack buffer overreads

    28 septembre 2021, par Andreas Rheinhardt
    checkasm/hevc_pel : Fix stack buffer overreads
    

    This patch increases several stack buffers in order to fix
    stack-buffer-overflows (e.g. in put_hevc_qpel_uni_hv_9 in
    line 814 of hevcdsp_template.c) detected with ASAN in the hevc_pel
    checkasm test.
    The buffers are increased by the minimal amount necessary
    in order not to mask potential future bugs.

    Reviewed-by : Martin Storsjö <martin@martin.st>
    Reviewed-by : "zhilizhao(赵志立)" <quinkblack@foxmail.com>
    Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>

    • [DH] tests/checkasm/hevc_pel.c
  • FFmpeg uses too much memory when repeating split, select, overlay

    13 novembre 2020, par finefoot

    I'm running

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    ffmpeg -i input.mp4 -filter_complex_script script.txt output.mp4&#xA;

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    with the following minimal example script :

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    split[tmp],&#xA;select=&#x27;between(t,1,2)&#x27;,&#xA;select=&#x27;between(n,0,1)&#x27;,&#xA;[tmp]overlay=enable=&#x27;between(t,1,2)&#x27;:eof_action=repeat,&#xA;split[tmp],&#xA;select=&#x27;between(t,3,4)&#x27;,&#xA;select=&#x27;between(n,0,1)&#x27;,&#xA;[tmp]overlay=enable=&#x27;between(t,3,4)&#x27;:eof_action=repeat&#xA;

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    What I want to do is to take 1 frame at a certain position and repeat it for a certain duration, basically "pausing" the video, while overwriting to keep the same output length. In the example, I'm doing this twice : I'm using split[tmp] to get a second input stream to work on, select the time at position 00:01 with select=&#x27;between(t,1,2)&#x27;, select the first frame from that position with select=&#x27;between(n,0,1)&#x27; and finally overlay that frame over the input. This repeats for a second time at position 00:03. I have tested this and it does exactly what I'm looking for.

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    However, in my real script, I'm repeating this about 1000 times for different positions in the stream (and for shorter durations than 1 second) which results in running out of memory. What am I doing wrong ? What can I do to optimize ?

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  • Pipe numpy array to virtual video device

    16 mars 2021, par sre

    I want to pipe images to a virtual video device (e.g. /dev/video0), the images are created inside a loop with the desired frame rate.

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    In this minimal example i only two arrays which alternate in the cv2 window. Now i look for a good solution to pipe the arrays to the virtual device.

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    I saw that ffmpeg-python can run asynchronous with ffmpeg.run_async(), but so far i could not make anything work with this package.

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    example code without the ffmpeg stuff :

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    #!/usr/bin/env python3&#xA;&#xA;import cv2&#xA;import numpy as np&#xA;import time&#xA;&#xA;window_name = &#x27;virtual-camera&#x27;&#xA;cv2.namedWindow(window_name, cv2.WINDOW_GUI_EXPANDED)&#xA;&#xA;img1 = np.random.uniform(0, 255, (1080, 1440, 3)).astype(&#x27;uint8&#x27;)&#xA;img2 = np.random.uniform(0, 255, (1080, 1440, 3)).astype(&#x27;uint8&#x27;)&#xA;&#xA;for i in range(125):&#xA;    time.sleep(0.04)&#xA;    if i % 2:&#xA;        img = img1&#xA;    else:&#xA;        img = img2&#xA;    cv2.imshow(window_name, img)&#xA;    cv2.waitKey(1)&#xA;cv2.destroyAllWindows()&#xA;

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