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Médias (1)
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Revolution of Open-source and film making towards open film making
6 octobre 2011, par
Mis à jour : Juillet 2013
Langue : English
Type : Texte
Autres articles (63)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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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" (...) -
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
Sur d’autres sites (8907)
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Restoring corrupted video after recovery
22 août 2019, par Harold.DemureI have recently recovered the content of an old drive of mine using photorec.
To my surprise, photorec recovered a lot of files with non-video extensions (.sqlite, .apple, .pdf, .torrent...) that contain fragments of video. I can see these fragments only using mplayer/mencoder (quicktime and vlc cannot). Some of the files are even hundreds of megabyte large, but mplayer only shows me a few seconds of the video.
Is there any script/data carving tool that I can use to see if I can recover more video fragments from these files ? I am not afraid of trying solutions that require some coding or manual inspection (e.g., search for headers via hex editors).
Thank you for your help, any suggestion is highly appreciated.
Harol. -
How do I download the image with metadata in Python ? [closed]
19 octobre 2024, par Temp AccountI am downloading some images in Python from the Airtable API and am trying to make a slideshow with them using ffmpeg. I download the images :


urllib2.urlretrieve(img['url'], "output/images/image_"+str(i)+".jpeg")



However, when I run the following ffmpeg command


ffmpeg -framerate 4/60 -i output/images/image_%d.jpeg output/out.mp4



I get the following error :


ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
 built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
 configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-l
inux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable
-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribi
di --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enab
le-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheo
ra --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libx
vid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --ena
ble-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enab
le-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
 libavutil 58. 29.100 / 58. 29.100
 libavcodec 60. 31.102 / 60. 31.102
 libavformat 60. 16.100 / 60. 16.100
 libavdevice 60. 3.100 / 60. 3.100
 libavfilter 9. 12.100 / 9. 12.100
 libswscale 7. 5.100 / 7. 5.100
 libswresample 4. 12.100 / 4. 12.100
 libpostproc 57. 3.100 / 57. 3.100
[mjpeg @ 0x593283e5e3c0] bits 150 is invalid
[mjpeg @ 0x593283e5e3c0] bits 28 is invalid
[image2 @ 0x593283e5d380] Could not find codec parameters for stream 0 (Video: mjpeg (Lossless), none(bt470bg/unknown/unknown), lossless): uns
pecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
Input #0, image2, from 'output/images/image_%d.jpeg':
 Duration: 00:01:00.00, start: 0.000000, bitrate: N/A
 Stream #0:0: Video: mjpeg (Lossless), none(bt470bg/unknown/unknown), lossless, 0.07 fps, 0.07 tbr, 0.07 tbn
File 'output/out.mp4' already exists. Overwrite? [y/N] y
Stream mapping:
 Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (cf)
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (c8)
[mjpeg @ 0x593283e5f180] bits 150 is invalid
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] bits 28 is invalid
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (ce)
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (c6)
[mjpeg @ 0x593283e5f180] unable to decode APP fields: Invalid data found when processing input
 Last message repeated 1 times
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] unable to decode APP fields: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] invalid id 255
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
Cannot determine format of input stream 0:0 after EOF
Error marking filters as finished
Error while filtering: Invalid data found when processing input
[vist#0:0/mjpeg @ 0x593283e5f000] Decode error rate 1 exceeds maximum 0.666667
[out#0/mp4 @ 0x593283e603c0] Nothing was written into output file, because at least one of its streams received no packets.
frame= 0 fps=0.0 q=0.0 Lsize= 0kB time=N/A bitrate=N/A speed=N/A 
Conversion failed!




However, downloading the images in Chrome then creating the slideshow is successful. The images from Chrome have metadata of the filetype (JPEG), width and height. The images downloaded with Python have no metadata. How do I download that information so that my ffmpeg command will succeed ?


Thanks !


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Precise method of segmenting & transcoding video+audio (via ffmpeg), into an on-demand HLS stream ?
17 novembre 2019, par Felixrecently I’ve been messing around with FFMPEG and streams through Nodejs. My ultimate goal is to serve a transcoded video stream - from any input filetype - via HTTP, generated in real-time as it’s needed in segments.
I’m currently attempting to handle this using HLS. I pre-generate a dummy m3u8 manifest using the known duration of the input video. It contains a bunch of URLs that point to individual constant-duration segments. Then, once the client player starts requesting the individual URLs, I use the requested path to determine which time range of video the client needs. Then I transcode the video and stream that segment back to them.
Now for the problem : This approach mostly works, but has a small audio bug. Currently, with most test input files, my code produces a video that - while playable - seems to have a very small (< .25 second) audio skip at the start of each segment.
I think this may be an issue with splitting using time in ffmpeg, where possibly the audio stream cannot be accurately sliced at the exact frame the video is. So far, I’ve been unable to figure out a solution to this problem.
If anybody has any direction they can steer me - or even a prexisting library/server that solves this use-case - I appreciate the guidance. My knowledge of video encoding is fairly limited.
I’ll include an example of my relevant current code below, so others can see where I’m stuck. You should be able to run this as a Nodejs Express server, then point any HLS player at localhost:8080/master to load the manifest and begin playback. See the
transcode.get('/segment/:seg.ts'
line at the end, for the relevant transcoding bit.'use strict';
const express = require('express');
const ffmpeg = require('fluent-ffmpeg');
let PORT = 8080;
let HOST = 'localhost';
const transcode = express();
/*
* This file demonstrates an Express-based server, which transcodes & streams a video file.
* All transcoding is handled in memory, in chunks, as needed by the player.
*
* It works by generating a fake manifest file for an HLS stream, at the endpoint "/m3u8".
* This manifest contains links to each "segment" video clip, which browser-side HLS players will load as-needed.
*
* The "/segment/:seg.ts" endpoint is the request destination for each clip,
* and uses FFMpeg to generate each segment on-the-fly, based off which segment is requested.
*/
const pathToMovie = 'C:\\input-file.mp4'; // The input file to stream as HLS.
const segmentDur = 5; // Controls the duration (in seconds) that the file will be chopped into.
const getMetadata = async(file) => {
return new Promise( resolve => {
ffmpeg.ffprobe(file, function(err, metadata) {
console.log(metadata);
resolve(metadata);
});
});
};
// Generate a "master" m3u8 file, which the player should point to:
transcode.get('/master', async(req, res) => {
res.set({"Content-Disposition":"attachment; filename=\"m3u8.m3u8\""});
res.send(`#EXTM3U
#EXT-X-STREAM-INF:BANDWIDTH=150000
/m3u8?num=1
#EXT-X-STREAM-INF:BANDWIDTH=240000
/m3u8?num=2`)
});
// Generate an m3u8 file to emulate a premade video manifest. Guesses segments based off duration.
transcode.get('/m3u8', async(req, res) => {
let met = await getMetadata(pathToMovie);
let duration = met.format.duration;
let out = '#EXTM3U\n' +
'#EXT-X-VERSION:3\n' +
`#EXT-X-TARGETDURATION:${segmentDur}\n` +
'#EXT-X-MEDIA-SEQUENCE:0\n' +
'#EXT-X-PLAYLIST-TYPE:VOD\n';
let splits = Math.max(duration / segmentDur);
for(let i=0; i< splits; i++){
out += `#EXTINF:${segmentDur},\n/segment/${i}.ts\n`;
}
out+='#EXT-X-ENDLIST\n';
res.set({"Content-Disposition":"attachment; filename=\"m3u8.m3u8\""});
res.send(out);
});
// Transcode the input video file into segments, using the given segment number as time offset:
transcode.get('/segment/:seg.ts', async(req, res) => {
const segment = req.params.seg;
const time = segment * segmentDur;
let proc = new ffmpeg({source: pathToMovie})
.seekInput(time)
.duration(segmentDur)
.outputOptions('-preset faster')
.outputOptions('-g 50')
.outputOptions('-profile:v main')
.withAudioCodec('aac')
.outputOptions('-ar 48000')
.withAudioBitrate('155k')
.withVideoBitrate('1000k')
.outputOptions('-c:v h264')
.outputOptions(`-output_ts_offset ${time}`)
.format('mpegts')
.on('error', function(err, st, ste) {
console.log('an error happened:', err, st, ste);
}).on('progress', function(progress) {
console.log(progress);
})
.pipe(res, {end: true});
});
transcode.listen(PORT, HOST);
console.log(`Running on http://${HOST}:${PORT}`);