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Exemple de boutons d’action pour une collection collaborative
27 février 2013, par
Mis à jour : Mars 2013
Langue : français
Type : Image
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Exemple de boutons d’action pour une collection personnelle
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Mis à jour : Février 2013
Langue : English
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Autres articles (71)
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
Participer à sa traduction
10 avril 2011Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
Actuellement MediaSPIP n’est disponible qu’en français et (...) -
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 (...)
Sur d’autres sites (10957)
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ffmpeg is failing to load shared libraries after a ./configure with a prefix inside a conda environment
30 janvier 2024, par user3133806I am using
condaand building ffmpeg from source within that environment.

I ran the following commands :


conda create --name my_conda_env
conda activate my_conda_env
# Now I am in the conda environment
# $CONDA_PREFIX is /home/myuser/.conda/envs/my_conda_env/bin/ffmpeg

# Checkout ffmpeg code
# git checkout ...

./configure --prefix=$CONDA_PREFIX --enable-shared --disable-static && make distclean && make -j 100 && make install

# The above command does install the newly built ffmpeg into:
# /home/myuser/.conda/envs/my_conda_env/bin/ffmpeg

# However it fails to execute:
ffmpeg
ffmpeg: error while loading shared libraries: libavdevice.so.58: cannot open shared object file: No such file or directory

# When I add the conda lib path to LD_LIBRARY_PATH it works:
LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH ffmpeg
ffmpeg version n4.2.9-4-gd7beb0c61f Copyright (c) 2000-2023 the FFmpeg developers

# I thought ./configure with a --prefix will build a binary that will search for libraries relative to itself, but that does not appear to be the case:

strace -o /tmp/strace.out ffmpeg
tail /tmp/strace.out

openat(AT_FDCWD, "/usr/lib64/haswell/x86_64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/haswell/x86_64", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/haswell/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/haswell", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/avx512_1/x86_64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/avx512_1/x86_64", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/avx512_1/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/avx512_1", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/x86_64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/x86_64", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64", {st_mode=S_IFDIR|0555, st_size=49526, ...}, 0) = 0
writev(2, [{iov_base="ffmpeg", iov_len=6}, {iov_base=": ", iov_len=2}, {iov_base="error while loading shared libra"..., iov_len=36}, {i
ov_base=": ", iov_len=2}, {iov_base="libavdevice.so.58", iov_len=17}, {iov_base=": ", iov_len=2}, {iov_base="cannot open shared object file", iov_len=30}, {iov_base=": ", iov_len=2}, {iov_base="No such file or directory", iov_len=25}, {iov_base="\n", iov_len=1}], 10) = 
123


Conda documentation says not to use LD_LIBRARY_PATH here :




How can I build ffmpeg from source in a conda environment and have the binary find the .so file relative to itself ?


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Ffmpeg HLS conversion error on AWS Lambda - ffmpeg was killed with signal SIGSEGV
20 octobre 2023, par RtiM0I'm trying to convert video files into HLS streams on a AWS Lambda. The ffmpeg configuration I have setup works for normal (Non HLS) transcoding, but in case of HLS it throws the following error :


stderr:
frame= 341 fps= 84 q=34.0 q=32.0 q=28.0 size=N/A time=00:00:12.52 bitrate=N/A speed= 3.1x 
frame= 385 fps= 85 q=34.0 q=31.0 q=27.0 size=N/A time=00:00:13.97 bitrate=N/A speed=3.08x 
frame= 433 fps= 86 q=33.0 q=30.0 q=27.0 size=N/A time=00:00:15.55 bitrate=N/A speed=3.08x 
[hls @ 0x702c480] Cannot use rename on non file protocol, this may lead to races and temporary partial files
[hls @ 0x702c480] Opening '/tmp/stream_0.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/stream_1.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/stream_2.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/master.m3u8' for writing
ffmpeg was killed with signal SIGSEGV


And I error thrown by fluent-ffmpeg is this :


2023-03-06T10:21:44.555Z 15a0a43b-5e24-42ac-ae72-fe04f0c72a3e ERROR Invoke Error 
{
 "errorType": "Error",
 "errorMessage": "ffmpeg was killed with signal SIGSEGV",
 "stack": [
 "Error: ffmpeg was killed with signal SIGSEGV",
 " at ChildProcess.<anonymous> (/var/task/node_modules/fluent-ffmpeg/lib/processor.js:180:22)",
 " at ChildProcess.emit (node:events:513:28)",
 " at ChildProcess._handle.onexit (node:internal/child_process:291:12)"
 ]
}
</anonymous>

This is the code I run on AWS Lambda to convert video files into HLS :


export const compressToHLS = (sourcePath, outputFolder) =>
 new Promise((resolve, reject) => {
 Ffmpeg(sourcePath)
 .complexFilter([
 {
 filter: "split",
 options: "3",
 inputs: "v:0",
 outputs: ["v1", "v2", "v3"],
 },
 {
 filter: "scale",
 options: {
 w: 1280,
 h: 720,
 },
 inputs: "v1",
 outputs: "v1out",
 },
 {
 filter: "scale",
 options: {
 w: 960,
 h: 540,
 },
 inputs: "v2",
 outputs: "v2out",
 },
 {
 filter: "scale",
 options: {
 w: 640,
 h: 360,
 },
 inputs: "v3",
 outputs: "v3out",
 },
 ])
 .outputOptions([
 "-map [v1out]",
 "-c:v:0",
 "libx264",
 "-b:v 3000000",
 "-map [v2out]",
 "-c:v:1",
 "libx264",
 "-b:v 2000000",
 "-map [v3out]",
 "-c:v:2",
 "libx264",
 "-b:v 1000000",
 ])
 .outputOptions([
 "-map a:0",
 "-c:a:0 aac",
 "-b:a:0 96000",
 "-ar 48000",
 "-ac 2",
 "-map a:0",
 "-c:a:1 aac",
 "-b:a:1 96000",
 "-ar 48000",
 "-ac 2",
 "-map a:0",
 "-c:a:2 aac",
 "-b:a:2 96000",
 "-ar 48000",
 "-ac 2",
 ])
 .outputOptions([
 "-f hls",
 "-hls_time 10",
 "-hls_playlist_type vod",
 "-hls_flags independent_segments",
 "-hls_segment_type mpegts",
 `-hls_segment_filename ${outputFolder}/%v_%d.ts`,
 "-master_pl_name master.m3u8",
 ])
 .outputOption("-var_stream_map", "v:0,a:0 v:1,a:1 v:2,a:2")
 .outputOption("-preset veryfast")
 .output(`${outputFolder}/stream_%v.m3u8`)
 .on("start", (cmdline) => console.log(cmdline))
 .on("progress", (progress) => {
 let prog = Math.floor(progress.percent * 10) / 10;
 if (Math.round(prog) % 10 == 0) {
 console.log(`${prog}% complete`);
 }
 })
 .on("error", (err, stdout, stderr) => {
 if (err) {
 console.log(err.message);
 console.log("stdout:\n" + stdout);
 console.log("stderr:\n" + stderr);
 reject(err);
 }
 })
 .on("end", () => resolve())
 .run();
 });


In this code the sourcePath is usually a presigned URL from S3 (But I have also tried to download a file on /tmp and setting sourcePath as the path to the downloaded file) and outputFolder is
tmpdir()which is/tmp.

I have the lambda settings configured to have 10GB of memory and 10GB of ephemeral storage (the maximum allowed).


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App Intents FFmpeg-iOS operation not permitted
2 octobre 2023, par apo_p9Using latest iOS and Xcode, I have an AppIntent to which Im passing a video file from iOS Shortcuts, Im using an IntentFile parameter to read that in the intent. Then Im using FFmpeg-iOS to generate a single frame from the video.


...
@Parameter(title: "Media", supportedTypeIdentifiers: ["public.image", "public.video"], inputConnectionBehavior: .connectToPreviousIntentResult)
var media: IntentFile
...
let mediaPath = media.fileURL!.absoluteString;
let posterPath = mediaPath.replacingOccurrences(of: media.filename, with: "poster.jpg")
_ = ffmpeg(["FFmpeg-iOS", "-i", mediaPath, "-frames:v", "1", posterPath])


Here is the output :


ffmpeg(_:) ["FFmpeg-iOS", "-i", "file:///var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/IMG_2751.mov", "-frames:v", "1", "file:///var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/poster.jpg"]
ffmpeg version N-109970-g7dc0944ce2 Copyright (c) 2000-2023 the FFmpeg developers
 built with Apple clang version 14.0.0 (clang-1400.0.29.202)
 configuration: --prefix=/Users/changbeomahn/Projects/FFmpeg-iOS/build/install/FFmpeg/arm64 --enable-cross-compile --disable-debug --disable-doc --enable-pic --disable-audiotoolbox --disable-sdl2 --disable-libxcb --target-os=darwin --arch=arm64 --cc='xcrun -sdk iphoneos clang' --as='gas-preprocessor.pl -arch aarch64 -- xcrun -sdk iphoneos clang' --extra-cflags='-arch arm64 -mios-version-min=13.0 -I/Users/changbeomahn/Projects/FFmpeg-iOS/build/install/FFmpeg/arm64/include' --extra-ldflags='-arch arm64 -mios-version-min=13.0 -L/Users/changbeomahn/Projects/FFmpeg-iOS/build/install/FFmpeg/arm64/lib'
HookMain: setjmp=0
FFmpeg_exit=1, will longjmp
HookMain: setjmp=1
 libavutil 58. 3.100 / 58. 3.100
 libavcodec 60. 6.100 / 60. 6.100
 libavformat 60. 4.100 / 60. 4.100
 libavdevice 60. 2.100 / 60. 2.100
 libavfilter 9. 4.100 / 9. 4.100
 libswscale 7. 2.100 / 7. 2.100
 libswresample 4. 11.100 / 4. 11.100
file:///var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/IMG_2751.mov: Operation not permitted


The issue is in the last line : Operation not permitted


I also tried just writing a file to the same directory as the media file :


let str = "Super long string here"
let filename = media.fileURL!.absoluteString.replacingOccurrences(of: media.filename, with: "asd.txt")

do {
 try str.write(to: URL(string: filename)!, atomically: true, encoding: String.Encoding.utf8)
} catch {
 print(error)
}


But got the error :


Error Domain=NSCocoaErrorDomain Code=513 "You don’t have permission to save the file “asd.txt” in the folder “com.apple.WorkflowKit.BackgroundShortcutRunner”." UserInfo={NSFilePath=/var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/asd.txt, NSUnderlyingError=0x280f09aa0 {Error Domain=NSPOSIXErrorDomain Code=1 "Operation not permitted"}}


Apparently there is a permission issue, I tried googling about "AppIntents file permissions"/"shortcut permissions"/etc but found nothing. Im not a mobile developer so Im totally clueless. The same code though works fine in the simulator, it gets the permission issue only on device.


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