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Médias (16)
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#7 Ambience
16 octobre 2011, par
Mis à jour : Juin 2015
Langue : English
Type : Audio
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#6 Teaser Music
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#5 End Title
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#3 The Safest Place
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#4 Emo Creates
15 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#2 Typewriter Dance
15 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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Creating farms of unique websites
13 avril 2011, parMediaSPIP 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" (...) -
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
Sur d’autres sites (8017)
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Significantly different scores when calculating VMAF for the whole video vs individual frames [closed]
24 octobre 2024, par YG1992Suppose i have a raw video 'encoded_raw.yuv' and 'original_raw.yuv' on YUV420p. I am getting significantly different results when im calculating VMAF using both methods


Method 1


$ ffmpeg -s widthxheight -pix_fmt yuv420p -i .\encoded_raw.yuv -s widthxheight -pix_fmt yuv420p -i .\original_raw.yuv -lavfi libvmaf=log_path=vmaf_logfile.json:log_fmt=json -f null -



versus Method 2 : extracting the png out of a single frame and computing the VMAF score for the individual frame


$ ffmpeg -video_size widthxheight -i ./encoded_raw.yuv -vf select=eq(n\,1) -vframes 1 -pix_fmt yuv420p encoded_raw_1.png
$ ffmpeg -video_size widthxheight -i ./original_raw.yuv -vf select=eq(n\,1) -vframes 1 -pix_fmt yuv420p original_raw.png
$ ffmpeg -s widthxheight -pix_fmt yuv420p -i .\encoded_raw_1.png -s widthxheight -pix_fmt yuv420p -i .\original_raw.png -lavfi libvmaf=log_path=vmaf_logfile.json:log_fmt=json -f null -`



method 1 vmaf at frame 1 from json = 80


method 2 vmaf = 70


any reason why this is so ?


Note : for moduse this is on topic as this covers
-> software tools commonly used by programmers (ie ffmpeg)


-
Add support for building fuzzer tools for an individual demuxer
10 octobre 2020, par Michael Niedermayer -
How to generate a GIF thumbnail from a video without saving individual frames to disk ?
12 mars 2023, par Rabie DaddiI have a Node.js script that uses fluent-FFmpeg to generate a GIF thumbnail from a video for the first 4 seconds. Currently, the script saves individual frames as PNG images to disk, and then reads them back in to generate the GIF. However, this creates a lot of unnecessary I/O.


Is there a way to modify the script to generate the GIF directly from the video frames, without saving them to disk first ? Ideally, I would like to do this while still using FFmpeg for the processing.


Here's the current code for generating the frames and the GIF :


function generateFrames(videoUrl) {
 return new Promise((resolve, reject) => {
 ffmpeg(videoUrl)
 .setStartTime(0) // start at 0 seconds
 .setDuration(4) // cut 4 seconds
 .videoFilters('scale=if(gte(iw\\,ih)\\,min(600\\,iw)\\,-2):if(lt(iw\\,ih)\\,min(600\\,ih)\\,-2)')
 .fps(4)
 .output('output/img%04d.png') // output file pattern with %04d indicating a sequence number with four digits
 .on('end', () => {
 console.log('GIF generated successfully!');
 resolve()
 })
 .on('error', (err) => {
 console.log('Error generating GIF: ' + err.message);
 reject()
 })
 .run();
 });
}

function generateGif() {
 const inputPattern = 'output/img%04d.png';
 const outputFilename = 'output/output2.gif';

 ffmpeg(inputPattern)
 .inputFPS(9)
 .output(outputFilename)
 .on('error', (err) => {
 console.log('Error generating GIF: ' + err.message);
 })
 .run();
}


execute = async () => {
 await generateFrames('video.mp4')
 generateGif()
}

execute()



Any help or suggestions would be greatly appreciated. Thank you !