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  • List of compatible distributions

    26 avril 2011, par

    The table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
    If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...)

  • Selection of projects using MediaSPIP

    2 mai 2011, par

    The examples below are representative elements of MediaSPIP specific uses for specific projects.
    MediaSPIP farm @ Infini
    The non profit organizationInfini develops hospitality activities, internet access point, training, realizing innovative projects in the field of information and communication technologies and Communication, and hosting of websites. It plays a unique and prominent role in the Brest (France) area, at the national level, among the half-dozen such association. Its members (...)

  • Automated installation script of MediaSPIP

    25 avril 2011, par

    To overcome the difficulties mainly due to the installation of server side software dependencies, an "all-in-one" installation script written in bash was created to facilitate this step on a server with a compatible Linux distribution.
    You must have access to your server via SSH and a root account to use it, which will install the dependencies. Contact your provider if you do not have that.
    The documentation of the use of this installation script is available here.
    The code of this (...)

Sur d’autres sites (9965)

  • 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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