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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (58)
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List of compatible distributions
26 avril 2011, parThe 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, parThe 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, parTo 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)
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checkasm/hevc_pel : Fix stack buffer overreads
28 septembre 2021, par Andreas Rheinhardtcheckasm/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> -
FFmpeg uses too much memory when repeating split, select, overlay
13 novembre 2020, par finefootI'm running


ffmpeg -i input.mp4 -filter_complex_script script.txt output.mp4



with the following minimal example script :


split[tmp],
select='between(t,1,2)',
select='between(n,0,1)',
[tmp]overlay=enable='between(t,1,2)':eof_action=repeat,
split[tmp],
select='between(t,3,4)',
select='between(n,0,1)',
[tmp]overlay=enable='between(t,3,4)':eof_action=repeat



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 withselect='between(t,1,2)'
, select the first frame from that position withselect='between(n,0,1)'
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.

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 sreI 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.


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.


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

example code without the ffmpeg stuff :


#!/usr/bin/env python3

import cv2
import numpy as np
import time

window_name = 'virtual-camera'
cv2.namedWindow(window_name, cv2.WINDOW_GUI_EXPANDED)

img1 = np.random.uniform(0, 255, (1080, 1440, 3)).astype('uint8')
img2 = np.random.uniform(0, 255, (1080, 1440, 3)).astype('uint8')

for i in range(125):
 time.sleep(0.04)
 if i % 2:
 img = img1
 else:
 img = img2
 cv2.imshow(window_name, img)
 cv2.waitKey(1)
cv2.destroyAllWindows()