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• Record 60 second videos with ffmpeg constantly with webcam (dshow) and show preview

  1er juin 2015, par user1200794

  I’m trying for a while to record a long stream but the recording should be seperated in files with 60 seconds length. Meanwhile, I want to show a video preview.

  Currently I was able to show the preview (with ffmpeg SDL support) and save the files every 60 seconds using multiple output of ffmpeg and a small Java app which is running ffmpeg for 60 seconds and then restart the application with the new file name (timestamp). But than there is a lack of recoding during the restart of around 1 second.

  Is it somehow possible to run a main ffmpeg which is showing the preview and another ffmpeg instance which is doing the recording and can be run with threads (so maybe for 1 second overlapping of the saved streams). I had a look on pipes and streaming but can’t find a suitable solution. I appreciate any idea :)

• Make class to show/hide UI elements configurable.

  24 novembre 2019, par blueimp

  Make class to show/hide UI elements configurable.
  Closes #3537.
  

• How can I get my saved mp4 to exactly match the output of plot.show() ?

  10 mai 2019, par Jimmy

  When I try to save the results of an animation to mp4 using ffmpeg, I am getting a jumbled mess.

  plt.show() shows exactly what I want it to show in the animation. However, when I save it using ffmpeg, the result is very different from what plt.show() returns. I have tried various arguments for fps etc. but nothing has helped.

  %matplotlib
  
  import pandas as pd
  
  import matplotlib as mpl ## uncomment this if you are running this on a Mac
  
  #mpl.use('TkAgg')         ## and want to use blit=True
  
  import matplotlib.pyplot as plt 
  
  import matplotlib.animation as animation 
  
  import numpy as np 
  
  import csv
  
  
  
  people = ('','Jim', 'Dan')
  
  plt.rcdefaults()
  
  fig, ax = plt.subplots()
  
  y_pos = np.arange(len(people))
  
  
  
  ax.set_xlim(0,10)
  
  ax.set_yticks(y_pos)
  
  ax.set_yticklabels(people)
  
  ax.invert_yaxis() 
  
  ax.set_xlabel('Skill')
  
  titleList=['Basketball','Hockey','Baseball']
  
  df=[[0,5,7],[0,4,9],[0,2,6]]
  
  def animate(i):
  
     # Example data
  
      while i<3:
  
          ax.set_yticks(y_pos)
  
          ax.set_yticklabels(people)
  
          ax.set_xlabel(titleList[i])
  
          performance=df[i]
  
  
  
          title = ax.text(0.5,0.95,str(titleList[i]), bbox={'facecolor':'w', 'alpha':0.5, 'pad':5},transform=ax.transAxes, ha="center")
  
  
  
          rects = ax.barh(y_pos, performance, align='center',
  
                  color='blue', ecolor='None')
  
          return [rect for rect in rects] + [title]
  
  
  
  
  
  ani = animation.FuncAnimation(fig,animate, frames=3, blit=True
  
                              ,interval=2000,repeat=False)
  
  
  
  plt.rcParams['animation.ffmpeg_path'] = 'C:\\ffmpeg\\bin\\ffmpeg.exe'
  
  Writer = animation.writers['ffmpeg']
  
  ani.save('test.mp4')
  
  plt.show() 

  The result is a very fast video where all the data gets written over (similar to the plt.show() results when blit=False).