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Médias (91)
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Spoon - Revenge !
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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My Morning Jacket - One Big Holiday
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Zap Mama - Wadidyusay ?
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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David Byrne - My Fair Lady
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Beastie Boys - Now Get Busy
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Granite de l’Aber Ildut
9 septembre 2011, par
Mis à jour : Septembre 2011
Langue : français
Type : Texte
Autres articles (41)
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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. -
Use, discuss, criticize
13 avril 2011, parTalk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
A discussion list is available for all exchanges between users. -
Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
Sur d’autres sites (7462)
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Issues in python based ffmpeg operation
28 septembre 2021, par Adideva98I am trying to write a script that would automatically take duration values and chop an audio file into smaller splits. To do this I have saved all my start times and durations in a list. And this is the code I am trying to run.


for k in range(0,len(start_time)):
 s=start_time[k]
 e=Duration[k]
 filename = "output%d.mp3" % (k)
 !ffmpeg -i Audio.mp3 -ss s -t e -acodec copy filename
 k=k+1



On running this I get the following error

Invalid duration specification for ss: s

I suspect that this error arises because of the fact that since I am using lists to call elements, the time stamp comes with quotes on both sides. Secondly, I am not sure how to specify the filename, such that each created split has the name of this format Output_1.mp3 and so on. The integer will be an identifier of the split. What could be possible fixes for this piece of code ? Please note that I am running this on Google Colab.

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ffmpeg-python extracting frames from camera in batches
28 juin 2021, par AlterWhen I read frames from my camera using ffmpeg-python, the frames appear to come in batches of 4- why is this, and how can I change it ?


I would like to get one frame at a time... I'm also hoping to avoid faking the frame times using the
-r
option



In the image above, I'm recording at 30fps. The 120ms pause followed by 3 quick frames suggests that the frames are coming in batches of 4.


Partial code


reader = (ffmpeg
 .input('/dev/video0', framerate=fps)
 .output('pipe:', format='rawvideo', pix_fmt='rgb24')
 .run_async(pipe_stdout=True))
 
while True:
 start = time.time_ns()
 frame = reader.stdout.read(width * height * 3)
 logger.debug(f'frame read time: {(time.time_ns() - start)/1e6}ms')
 # Do something else
 logger.debug(f'frame capture loop: {(time.time_ns() - start)/1e6}ms')



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Java process use more memory than VisualVM shows
16 juillet 2021, par Dinexpodmy java application works 1 day,
(I use different libs for processing photo like ffmpeg, javacv, javacpp)
and then I see that my app use 9,5Gb RAM.




I don't understand why my app use so a lot of memory.


I set -Xmx6G


In VisualVM I see that heap space size 188M




Meta Space use 141M




May be this helps




I read articles that Java use more RAM than heap space because there are JIT, Heap space, meta space, code, ant etc. But 9.5Gb is a lot of on my mind


Edited :


- 

- Yes my app some times have exceptions java.lang.OutOfMemoryError : Java heap space