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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
Autres articles (68)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
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" (...)
Sur d’autres sites (12262)
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ffmpeg shell script globbing
10 novembre 2015, par AD0AEI have a pretty straight forward question. I have a bunch of individual directories that are labeled as
./001 ./002 ... ./201
within each directory contains files that have the identifier*_IO.PNG
I can use the shell command :
ffmpeg -framerate 20 -pattern_type glob -i './066/*IO.PNG' -c:v libx264 -pix_fmt yuv420p 066.mp4
and this works great. It does exactly what I want.However, I tried to write a shell script, which is below but this does not work. It seems to be loading individual files instead of all of them at once. Any help would be appreciated.
#!/bin/bash
for i in {1..5}
do
FILE=$(printf %03d $i)
echo " This file: $FILE"
infile='./$FILE/*IO.PNG'
echo $infile
ffmpeg -framerate 20 -pattern_type glob -i $infile -c:v libx264 -pix_fmt yuv420p './$FILE.mp4'
done -
Parsing An ArrayList of BufferedImages From FFmpeg
4 juin 2015, par user3725743I am using FFmpeg in my java app to turn a video into an ArayList of BufferedImages. Im am using this code to split a video file into individual jpg frames :
builder.command(FFmpeg, "-i", "<video url="url">", "-vf", "fps=5,scale=128:128,format=rgb8,format=rgb24", "out%d.jpg");
</video>This produces a folder full of jpg frames, it works fine. But I would rather not write them to individual files, I would rather make that output turned into an ArrayList of BufferedImages, WITHOUT having to write each frame to a seperate file.
This should be what the command line would look like for the above code :
FFmpeg.exe -i <video url="url"> -vf fps=5,scale=128:128,format=rgb8,format=rgb24 out%d.jpg
</video>If its not possible to parse the ArrayList directly, what other solutions do I have which would be more elegant ?
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Is there a way to eliminate seek time when decoding part of a video using ffmpeg ?
17 décembre 2019, par BabisI’ve got some MKV videos encoded with FFV1. For each of the frames, I want to run some complex and time-intensive python or matlab code, so I’m using multithreading, where each thread works on an individual image.
I’ve tried extracting a single frame from the video using -ss, but it’s terribly inefficient.
The most efficient way is to decompress everything into images in one go, but then I’m writing to disk, and then I’ll be reading from disk, therefore it’s not ideal either.
I’ve tried using a ram disk to export images to, and reading them from python/matlab, but it’s not great performance-wise either. Also, I have to split the export into several batches, as the video file is 20GB and all of the exported images will not fit into memory
Is there a way to rapidly extract individual frames from ffmpeg directly into RAM (or ram disk), so that they can be used by another program ? For example using something like a lookup-table.
For reference, each video is about 20GB, comprised of 50000 frames, and they are all keyframes (it’s for archival purposes)