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Bug de détection d’ogg
22 mars 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Video
Autres articles (50)
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Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
Sur d’autres sites (8992)
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avcodec/eatgv : Check remaining size after the keyframe header
28 juillet 2019, par Michael Niedermayeravcodec/eatgv : Check remaining size after the keyframe header
The minimal size which unpack() will not fail on is 5 bytes
Fixes : Timeout (14sec -> 77ms) (testcase 15508)
Fixes : 15508/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_EATGV_fuzzer-5700053513011200
Fixes : 15996/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_EATGV_fuzzer-5751353223151616Found-by : continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by : Michael Niedermayer <michael@niedermayer.cc> -
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()



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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 ?