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The pirate bay depuis la Belgique
1er avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
Autres articles (35)
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Configuration spécifique d’Apache
4 février 2011, parModules spécifiques
Pour la configuration d’Apache, il est conseillé d’activer certains modules non spécifiques à MediaSPIP, mais permettant d’améliorer les performances : mod_deflate et mod_headers pour compresser automatiquement via Apache les pages. Cf ce tutoriel ; mode_expires pour gérer correctement l’expiration des hits. Cf ce tutoriel ;
Il est également conseillé d’ajouter la prise en charge par apache du mime-type pour les fichiers WebM comme indiqué dans ce tutoriel.
Création d’un (...) -
HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...) -
Use, discuss, criticize
13 avril 2011, parTalk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
A discussion list is available for all exchanges between users.
Sur d’autres sites (5550)
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Different filesizes for images generated using octave and python
17 décembre 2020, par lakshaygI am using python (scikit-image) and octave to generate 200 images as follows


Python3


import numpy as np
from skimage.io import imsave

images = [255*np.ones((100,100), dtype=np.uint8), # white
 np.zeros((100,100), dtype=np.uint8)] # black

for i in range(200): # save alternating black and white images
 imsave('%04d.png'%(i+1), images[i%2])



Octave


pkg load image;

im1 = 255*ones(100,100); # white
im2 = zeros(100,100); # black
for i=1:200
 name = sprintf('%04d.png', i);
 if mod(i,2) == 0
 imwrite(im1, name);
 else
 imwrite(im2, name);
 end
end



Next, I use ffmpeg to generate two videos (alternating white and black frames) from these two sets of images using the following command


ffmpeg -r 10 -loglevel quiet \
 -i ./%04d.png -c:v libx264 \
 -preset ultrafast -crf 0 ./out.mkv



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- Sizes of image files generated by both these codes are different.




- 

- Octave white : 192 bytes, black : 98 bytes
- Python white : 120 bytes, black : 90 bytes






- 

- Sizes of video files generated from these octave and python images are significantly different from each other.




- 

- Octave filesize : 60 kilobytes
- Python filesize : 116 kilobytes






Why do we have this apparently very strange behavior ?


EDIT


Since it was suggested that the behavior might be due to octave and python using different bit-depths to store the images, I changed the octave code to use 8 bit numbers


im1 = uint8(255*ones(100,100)); # white
im2 = uint8(zeros(100,100)); # black



and now the image file sizes are nearly the same


- 

- Octave white : 118 bytes, black : 90 bytes
- Python white : 120 bytes, black : 90 bytes






but the problem is still the same for video files, octave : 60K, python : 116K


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How to make transparent background of image after rotating using ffmpeg in Android ?
18 juin 2020, par Mit ShahThe issue I am facing is, rotating the image in app, it works as expected. But after saving the file, the difference is seen. The image is rotated but with black background instead of transparent. I have looked several places for solution but didn't succeed.



I have tried this things :



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- In command, c=none, c=black@, c=black@0, c=000000, c=0x000000
- With both extensions jpg and png.







But failed to get the required output.



For practical understanding, here are the two images stating Input and Output.



Help me out. Thanks



Input :




Output :



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How to use the FFmpeg blackdetect filter for the following image
17 septembre 2021, par dinesh47I am using FFmpeg to find the blackdetect from a mp4 video file. but for some reasons file with very low light or poor background at night get detected as black frame For sample i have attached the frame which detected as black


My ffmpeg filter setting is "blackdetect=d=121:pix_th=0.00"


my file has a resolution of 1280*720 and frame rate of 30 which uses decoder format of 4:2:0 YUV



There are 2 Questions


1.Why the ffmpeg lib detects this as black frame ?


2.How to over come this ?