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Autres articles (49)
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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 -
(Dés)Activation de fonctionnalités (plugins)
18 février 2011, parPour gérer l’ajout et la suppression de fonctionnalités supplémentaires (ou plugins), MediaSPIP utilise à partir de la version 0.2 SVP.
SVP permet l’activation facile de plugins depuis l’espace de configuration de MediaSPIP.
Pour y accéder, il suffit de se rendre dans l’espace de configuration puis de se rendre sur la page "Gestion des plugins".
MediaSPIP est fourni par défaut avec l’ensemble des plugins dits "compatibles", ils ont été testés et intégrés afin de fonctionner parfaitement avec chaque (...) -
MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 is the first MediaSPIP stable release.
Its official release date is June 21, 2013 and is announced here.
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)
Sur d’autres sites (7649)
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using node-fluent-ffmpeg to transcode with ffmpeg on windows not working
25 juillet 2015, par jansmolders86I’m trying to use the module node-fluent-ffmpeg (https://github.com/schaermu/node-fluent-ffmpeg) to transcode and stream a videofile. Since I’m on a Windows machine, I first downloaded FFMpeg from the official site (http://ffmpeg.zeranoe.com/builds/). Then I extracted the files in the folder C :/FFmpeg and added the path to the system path (to the bin folder to be precise). I checked if FFmpeg worked by typing in the command prompt : ffmpeg -version. And it gave a successful response.
After that I went ahead and copied/altered the following code from the module (https://github.com/schaermu/node-fluent-ffmpeg/blob/master/examples/express-stream.js) :
app.get('/video/:filename', function(req, res) {
res.contentType('avi');
console.log('Setting up stream')
var stream = 'c:/temp/' + req.params.filename
var proc = new ffmpeg({ source: configfileResults.moviepath + req.params.filename, nolog: true, timeout: 120, })
.usingPreset('divx')
.withAspect('4:3')
.withSize('640x480')
.writeToStream(res, function(retcode, error){
if (!error){
console.log('file has been converted succesfully',retcode);
}else{
console.log('file conversion error',error);
}
});
});I’ve properly setup the client with flowplayer and tried to get it running but
nothing happens. I checked the console and it said :file conversion error timeout
After that I increased the timeout but somehow, It only starts when I reload the page. But of course immediately stops because of the page reload. Do I need to make a separate node server just for the transcoding of files ? Or is there some sort of event I need to trigger ?
I’m probably missing something simple but I can’t seem to get it to work.
Hopefully someone can point out what I’ve missed.Thanks
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FFMPEG+video+video.js dont show up the video
18 avril 2013, par user1843970I have a video content type where I want to show the video to the user. I downloaded video module and video.js for this purpose. I have successfully installed ffmpeg transcoder in apache serv
Now I go to admin/config/media/video. Withing players tab I select HTML5 player for mp4 video and video.js to run HTML5 video like below :-
Now I go to Video Content Type and add Video field with Video Upload as its type and save it.The video is successfully converted but after clicking on play button nothing happens.
Need your help in this.
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Saving scatterplot animations with matplotlib produces blank video file
1er avril 2013, par user2175850I am having a very similar problem to this question
but the suggested solution doesn't work for me.
I have set up an animated scatter plot using the matplotlib animation module. This works fine when it is displaying live. I would like to save it to an avi file or something similar. The code I have written to do this does not error out but the video it produces just shows a blank set of axes or a black screen. I've done several checks and the data is being run and figure updated it's just not getting saved to video...
I tried removing "animated=True" and "blit=True" as suggested in this question but that did not fix the problem.
I have placed the relevant code below but can provide more if necessary. Could anyone suggest what I should do to get this working ?
def initAnimation(self):
rs, cfgs = next(self.jumpingDataStreamIterator)
#self.scat = self.axAnimation.scatter(rs[0], rs[1], c=cfgs[0], marker='o')
self.scat = self.axAnimation.scatter(rs[0], rs[1], c=cfgs[0], marker='o', animated=True)
return self.scat,
def updateAnimation(self, i):
"""Update the scatter plot."""
rs, cfgs = next(self.jumpingDataStreamIterator)
# Set x and y data...
self.scat.set_offsets(rs[:2,].transpose())
#self.scat = self.axAnimation.scatter(rs[0], rs[1], c=cfgs[0], animated=True)
# Set sizes...
#self.scat._sizes = 300 * abs(data[2])**1.5 + 100
# Set colors..
#self.scat.set_array(cfgs[0])
# We need to return the updated artist for FuncAnimation to draw..
# Note that it expects a sequence of artists, thus the trailing comma.
matplotlib.pyplot.draw()
return self.scat,
def animate2d(self, steps=None, showEvery=50, size = 25):
self.figAnimation, self.axAnimation = matplotlib.pyplot.subplots()
self.axAnimation.set_aspect("equal")
self.axAnimation.axis([-size, size, -size, size])
self.jumpingDataStreamIterator = self.jumpingDataStream(showEvery)
self.univeseAnimation = matplotlib.animation.FuncAnimation(self.figAnimation,
self.updateAnimation, init_func=self.initAnimation,
blit=True)
matplotlib.pyplot.show()
def animate2dVideo(self,fileName=None, steps=10000, showEvery=50, size=25):
self.figAnimation, self.axAnimation = matplotlib.pyplot.subplots()
self.axAnimation.set_aspect("equal")
self.axAnimation.axis([-size, size, -size, size])
self.Writer = matplotlib.animation.writers['ffmpeg']
self.writer = self.Writer(fps=1, metadata=dict(artist='Universe Simulation'))
self.jumpingDataStreamIterator = self.jumpingDataStream(showEvery)
self.universeAnimation = matplotlib.animation.FuncAnimation(self.figAnimation,
self.updateAnimation, scipy.arange(1, 25), init_func=self.initAnimation)
self.universeAnimation.save('C:/universeAnimation.mp4', writer = self.writer)