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Autres articles (78)
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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 (...) -
Mise à disposition des fichiers
14 avril 2011, parPar défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...) -
MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, 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 (7727)
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Create animated gif from a set of png images
12 avril 2020, par Zizi96I'm trying to use ffpmeg to convert a list of png to a gif.



Running
C:\Users\Me\Art\Animations\wubz\output> dirshows my files :


12/04/2020 16:48 <dir> ..
12/04/2020 16:45 136,706 wubz_0001.png
12/04/2020 16:45 136,180 wubz_0002.png
12/04/2020 16:45 136,413 wubz_0003.png
12/04/2020 16:45 136,099 wubz_0004.png
12/04/2020 16:45 136,309 wubz_0005.png
12/04/2020 16:45 137,172 wubz_0006.png
</dir>


The code I'm running in command prompt from
C:\Users\Me\Art\Animations\wubz\output>:


ffmpeg-f image2 -framerate 30 -i wubz_%d.png video.flv



gives the error message :

[image2 @ 000001efd6c4bac0] Could find no file with path 'wubz_%d.png' and index in the range 0-4
wubz_%d.png: No such file or directory


Can someone explain what I'm doing wrong, I don't get why ffmpeg isn't seeing the png files in the output directory.


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Why won't this encrypted HLS video play on iOS (but works on Windows Chrome via hls.js library) ?
8 mai 2023, par RyanI am trying to play an MP4 test video.


My
/home/vagrant/Code/example/public/hls_hls.keyInfois :

https://example.com/hls.key
/home/vagrant/Code/example/public/hls_hls.key
467216aae8a26fb699080812628031955e304a66e9e4480f9b70d31d8fe94e9a


My
/home/vagrant/Code/example/public/hls_hls.keywas generated using PHP :hex2bin('467216aae8a26fb699080812628031955e304a66e9e4480f9b70d31d8fe94e9a')

The ffmpeg command for encrypting the video as HLS playlist with "ts" files :


'/usr/bin/ffmpeg' '-y' '-i' 'storage/app/sample_media2/2020-02-27/Sample_Videos_5.mp4' 
'-c:v' 'libx264' '-s:v' '1920x1080' '-crf' '20' '-sc_threshold' '0' '-g' '48' 
'-keyint_min' '48' '-hls_list_size' '0' 
'-hls_time' '10' '-hls_allow_cache' '0' '-b:v' '4889k' '-maxrate' '5866k' 
'-hls_segment_type' 'mpegts' '-hls_fmp4_init_filename' 'output_init.mp4' 
'-hls_segment_filename' 'storage/app/public/test/output_1080p_%04d.ts' 
'-hls_key_info_file' '/home/vagrant/Code/example/public/hls_hls.keyInfo' 
'-strict' '-2' '-threads' '12' 'storage/app/public/test/output_1080p.m3u8'


Then, I know from https://caniuse.com/#search=hls that Windows Chrome won't be able to play the HLS video without a library, so I use https://github.com/video-dev/hls.js/, and Windows Chrome successfully plays the encrypted video !


However, iOS Safari is unable to play it (with or without the hls.js library).


On iOS Safari, when I try to play the video, I see just a quick glimpse (less than a second) where the screen shows 0:15, so it must be reading and decrypting enough to know the correct duration of the video.


So, to debug, I log events :


const nativeHlsEvents = ['play', 'playing', 'abort', 'error', 'canplaythrough', 'waiting', 'loadeddata', 'loadstart', 'progress', 'timeupdate', 'volumechange'];
$.each(nativeHlsEvents, function (i, eventType) {
 video.addEventListener(eventType, (event) => {//https://developer.mozilla.org/en-US/docs/Web/API/HTMLMediaElement
 console.log(eventType, event);
 if (eventType === 'error') {
 console.error(video.error);//https://developer.mozilla.org/en-US/docs/Web/API/HTMLMediaElement/error
 }
 });
});


I see in the console log :


loadstart, {"isTrusted":true}
progress, {"isTrusted":true}
play, {"isTrusted":true}
waiting, {"isTrusted":true}
error, {"isTrusted":true}
video.error, {}


I don't know how to find more details about the error.


Note that even though Windows Chrome successfully plays the video, it too shows warnings in the console log :


{"type":"mediaError","details":"fragParsingError","fatal":false,"reason":"TS packet did not start with 0x47","frag":{"...
{"type":"mediaError","details":"fragParsingError","fatal":false,"reason":"no audio/video samples found","frag":{...


Where is my problem ?


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Python librosa NoBackendError even though ffmpeg is installed
11 avril 2020, par Slavko KovačevićI recently installed librosa (package I've been using for a while on different PC) on my new PC with Windows 10 running. After that I've downloaded latest static version of ffmpeg and copied it to
C:and added it to the Path. Tested ffmpeg and it works like a charm ! For python I am using Anaconda environment and after starting Jupyter Notebook and runninglibrosa.load(path, sr = None)I've got


in <module>
----> 1 audio = librosa.load(pathToJson)

~\anaconda3\envs\tf_gpu\lib\site-packages\librosa\core\audio.py in load(path, sr, mono, offset, duration, dtype, res_type)
 117 
 118 y = []
--> 119 with audioread.audio_open(os.path.realpath(path)) as input_file:
 120 sr_native = input_file.samplerate
 121 n_channels = input_file.channels

~\anaconda3\envs\tf_gpu\lib\site-packages\audioread\__init__.py in audio_open(path, backends)
 114 
 115 # All backends failed!
--> 116 raise NoBackendError()

NoBackendError:
</module>


strange isn't it ? Then I went all over the internet, doing whatnot trying to fix it and then I've got an idea to run my line of code inside anaconda command interface and it WORKS ?? How is this possible ? It is the same environment.



python
Python 3.7.7 (default, Mar 23 2020, 23:19:08) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import librosa
>>> librosa.load('test.wav')
(array([-0.00027 , -0.00039953, -0.0003659 , ..., -0.16393574,
 -0.17814247, 0. ], dtype=float32), 22050)



I did a lot of testing and I really prefer my Jupyter so any help would be appreciated. I tried the following : I've added
C:\ffmpeg\binandC:\ffmpegto my Path for both User and System Variables. After that I've made specific variables for ffmpeg and ffmpeg_bin for both User and System Variables. No luck. After that I've tried installing ffmpeg using conda, without success. The last thing I've tested is this :


import audioread
audioread.ffdec.FFmpegAudioFile('test.wav')



and that works. Thanks


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