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Médias (1)
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Bug de détection d’ogg
22 mars 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Video
Autres articles (67)
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Le profil des utilisateurs
12 avril 2011, parChaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...) -
Sélection de projets utilisant MediaSPIP
29 avril 2011, parLes exemples cités ci-dessous sont des éléments représentatifs d’usages spécifiques de MediaSPIP pour certains projets.
Vous pensez avoir un site "remarquable" réalisé avec MediaSPIP ? Faites le nous savoir ici.
Ferme MediaSPIP @ Infini
L’Association Infini développe des activités d’accueil, de point d’accès internet, de formation, de conduite de projets innovants dans le domaine des Technologies de l’Information et de la Communication, et l’hébergement de sites. Elle joue en la matière un rôle unique (...) -
Submit enhancements and plugins
13 avril 2011If you have developed a new extension to add one or more useful features to MediaSPIP, let us know and its integration into the core MedisSPIP functionality will be considered.
You can use the development discussion list to request for help with creating a plugin. As MediaSPIP is based on SPIP - or you can use the SPIP discussion list SPIP-Zone.
Sur d’autres sites (4513)
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Generating grey nosie with FFmpeg
5 mars, par Azat KhabibulinI have the following sound configuration :


sub-bass: -inf dBFS
low bass: -inf dBFS
bass: -inf dBFS
high bass: -inf dBFS
low mids: 0 dBFS
mids: 0 dBFS
high mids: -inf dBFS
low treble: -inf dBFS
treble: -inf dBFS
high treble: -inf dBFS



If you wonder what is it, you can listen to this sound here.


I'd like to create an audio file provided this sound configuration. FFmpeg filters seem like a good fit, but are not a strict requirement. It may be any command-line tool that handles this kind of task well.


The problem is that I don't really have necessary background in audio theory. I cannot choose the right FFmpeg filter (other than to make a generic white noise), I do not know how to filter frequencies in FFmpeg, I cannot even convert this particular lexicon ("bass", "mids", etc.) into specific numeric frequencies.


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Is it possible to determine if a subtitle track is imaged based or text based with ffprobe
21 février 2021, par ShexI'm writing a script that burns subtitles into video files to prepare them for a personal stream I'm hosting. I'm having a hard time finding which type of subtitle is used in the file. I use ffprobe to get the files' information, and I can get stuff like the codec type, but I was wondering if there is a way to determine if a subtitle track is image based or text based. I can only think of getting a list of all possible codecs and match the codec type with this list but it would be very useful to have an info somewhere that can tell me "OK this is an image-based subtitle track", as when I burn I cannot use the same filters with ffmpeg to burn image vs. text subtitles.


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How to extract a fixed set of frames from a live video stream for machine learning prediction in PyTorch ?
12 avril 2022, par Samay LakhaniI recently created a Video Swin Transformer model that takes in a ([batch_size], 3, 32, 224, 224) [batch_size, channel, temporal_dim, height, width] tensor for video and outputs logits. The goal is to have the model predict on a live stream from a camera. Is there any way to capture the fixed sequence of 32 frames repetitively and have the model predict on a live stream. If prediction time is longer than 32 frames, can I stretch out the frames over a longer time period like a minute ? Thanks.