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Médias (1)
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MediaSPIP Simple : futur thème graphique par défaut ?
26 septembre 2013, par
Mis à jour : Octobre 2013
Langue : français
Type : Video
Autres articles (36)
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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 -
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. -
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 (4932)
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torchaudio.io.StreamReader doesn't throw error when seeking to time stamp more than the duration of audio file
27 mars 2023, par lokeshI am trying to get the audio chunk of audio file between specific start time and end time


Consider a audio of duration 10 seconds. Now i need to get chunk from 4 sec to 7 sec


torchaudio.info doesn't give correct
num_frames
for io.BytesIO flac audio file. So there is no way to find the total number of frames in the given audio to check for out of bounds start offset
Ref : https://github.com/pytorch/audio/issues/2524

What I did to get the chunk of audio with start and end offsets.


def read_audio(audio_file, start, end):
 audio_file.seek(0)
 reader = StreamReader(audio_file)
 sample_rate = int(reader.get_src_stream_info(reader.default_audio_stream).sample_rate)

 reader.seek(start * sample_rate)
 reader.add_basic_audio_stream(frames_per_chunk=(end - start) * sample_rate)

 return list(reader.stream())[0].pop()



This is working as intended for start time less than the duration of audio file. But when we give the start time more than the duration of audio file, It doesn't throw error or return empty tensor.
Is there any way to know the given offsets are out of bounds.


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GStreamer on Android
9 décembre 2014, par DiscGolferCan anyone give me any tips on getting GStreamer to work on Android. I have never used it before and I would like to use it with FFmpeg (I already have FFmpeg compiled and works fine on Android). I would just like to use GStreamer to help with some of the processing as learning the FFmpeg API is somewhat of a nightmare haha. Thanks in advance for any help at all !
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Installing openCV with anaconda on ubuntu
6 décembre 2017, par Akash SethiI’m trying to use the openCV library with anaconda (Python) , i am able to import the cv2 package but nothing has been able to access a .mp4 file so far. It’s an issue with the ffmpeg thing which i have no idea about. I cannot post code right now since I’m using my phone. But if anyone can give me a Linux script or a tutorial that can help me work with openCV on python to be able to analyze mp4 videos with h264 encoding , that would be great