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• Evolution #3491 : Fichier spécifique pour les log d’autorisation

  3 avril 2016, par b b

  J’ai un doute sur cette modification en effet, le moindre hit dans le privé génère un nombre important de lignes :Pri:debug: autoriser ce qui rend spip.log presque inutilisable...

• select audio channels with ffmpeg [on hold]

  4 août 2015, par Jecki

  im pushing my stream to shoutcast server using ffmpeg to decode the stream , right now im using the following :

  ffmpeg -loglevel quiet -i udp ://@224.5.0.122:5000 -eng 96000 -f s16le
  -f alsa pcm.pulse

  im trying to select audio from track2 using

  -map 0:1

  ffmpeg -loglevel quiet -i -map 0:a:1 udp ://@224.3.0.222:5000 -ar
  96000 -f s16le -f alsa pcm.pulse

  option and its always give me audio signal delayed

  any advise what i’m missing here

  Regards

• How can I get matplotlib to show full subplots in an animation ?

  12 mars 2015, par Matt Stone

  I’m trying to write a simple immune system simulator. I’m modeling infected tissue as a simple grid of cells and various intracellular signals, and I’d like to animate movement of cells in one plot and the intensity of viral presence in another as the infection progresses. I’m doing so with the matshow function provided by matplotlib. However, when I plot the two next to each other, the full grid gets clipped unless I stretch out the window myself. I can’t address the problem at all when saving to an mp4.

  Here’s the default view, which is identical to what I observe when saving to mp4 :
  

  And here’s what it looks like after stretching out the viewer window
  

  I’m running Python 2.7.9 with matplotlib 1.4.2 on OS X 10.10.2, using ffmpeg 2.5.2 (installed via Homebrew). Below is the code I’m using to generate the animation. I tried using plt.tight_layout() but it didn’t affect the problem. If anyone has any advice as to how to solve this, I’d really appreciate it ! I’d especially like to be able to save it without viewing with plt.show(). Thanks !

  def animate(self, fname=None, frames=100):
  
      fig, (agent_ax, signal_ax) = plt.subplots(1, 2, sharey=True)
  
  
  
      agent_ax.set_ylim(0, self.grid.shape[0])
  
      agent_ax.set_xlim(0, self.grid.shape[1])
  
      signal_ax.set_ylim(0, self.grid.shape[0])
  
      signal_ax.set_xlim(0, self.grid.shape[1])
  
  
  
      agent_mat = agent_ax.matshow(self.display_grid(),
  
                                   vmin=0, vmax=10)
  
      signal_mat = signal_ax.matshow(self.signal_display(virus),
  
                                     vmin=0, vmax=20)
  
      fig.colorbar(signal_mat)
  
  
  
      def anim_update(tick):
  
          self.update()
  
          self.diffuse()
  
          agent_mat.set_data(self.display_grid())
  
          signal_mat.set_data(self.signal_display(virus))
  
          return agent_mat, signal_mat
  
  
  
      anim = animation.FuncAnimation(fig, anim_update, frames=frames,
  
                                     interval=3000, blit=False)
  
  
  
      if fname:
  
          anim.save(fname, fps=5, extra_args=['-vcodec', 'libx264'])
  
      else:
  
          plt.show()