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• Stream output of x264_encoder_encode over rtsp or rtp [closed]

  21 août 2013, par user2660369

  How can I stream the h264 created with x264_encoder_encode over rtp/rtsp ? What parameters have to be passed to the libx264-encoder ? Is there a way to keep the framerate variable, so that the viewer will display the frame when it gets it, and is not to upset if the frame is a bit late ?

• close ffmpeg subprocess in python

  8 septembre 2018, par Liam

  I’mh having issues with ffmpeg in a python subprocess,

  I’m downloading videos from v.redd.it and stiching them up together with ffmpeg before sending them up to instagram

  So here’s what I’m using to download and stick them up together

      print('[ TASK ] Downloading video...')
  
      media_url = submission.media['reddit_video']['fallback_url']
  
      mp4_path = ("./media/cache/%s.mp4" % (submission.id))
  
      mp3_path = ("./media/cache/%s.mp3" % (submission.id))
  
      output_path = ("./media/%s.mp4" % (submission.id))
  
      cmd = './ffmpeg.exe -y -i %s -i %s -codec copy -shortest %s' % (mp4_path, mp3_path, output_path)
  
      try:
  
          mute = False
  
          urllib.request.urlretrieve(media_url, mp4_path)
  
          urllib.request.urlretrieve(media_url[:media_url.find('/', 18)] + "/audio", mp3_path)
  
      except urllib.error.HTTPError: # A 'muted sound' video.
  
          print("[ Task ] Muted sound video found...")
  
          mute = True
  
          pass
  
  
  
      except Exception as e:
  
          print(e)
  
          pass
  
  
  
      if mute is False:
  
          try:
  
              print ("[ TASK ] Merging audio and video with ffpmeg...")
  
              subprocess.call(cmd)
  
  
  
          except Exception as e:
  
              print(e)
  
              pass
  
          path = output_path
  
          os.remove(mp3_path)
  
          os.remove(mp4_path)
  
      else:
  
          path = mp4_path
  
  
  
      if os.path.getsize(path) >= 20*10**6:
  
          print("[ ERROR ] Video file is larger than max file size")
  
          print("[ INFO ] Currently at " + str(os.path.getsize(path)/1000000) + " MB")
  
          print("[ INFO ] Goal is 20 MB")
  
          print("[ TASK ] Making file smaller... (this might take up to a few minutes)")
  
          subprocess.call("./ffmpeg.exe -y -i %s -vcodec libx264 -crf 24 %s" % (path, output_path.replace(".mp4", "_new.mp4")))
  
          os.remove(path)
  
          path = output_path.replace(".mp4", "_new.mp4")
  
          print("[ INFO ] New size is now " + str(os.path.getsize(path)/1000000) + " MB" )
  
          time.sleep(5)
  
  
  
  
  
      print(path)
  
      return path

  And then to upload to instagram :

  print("[ INFO ] Post will be a video")
  
  thumb_path = "./media/thumb.jpg"
  
  print("[ TASK ] Currently downloading the video thumbnail")
  
  urllib.request.urlretrieve(str(submission.thumbnail), thumb_path)
  
  video_local_path = path
  
  thumbnail_local_path = thumb_path
  
  print("[ TASK ] Uploading video to Instagram Servers...")
  
  API.uploadVideo(video_local_path, thumbnail_local_path, caption=submission.title)
  
  try:
  
     os.remove(thumb_path)
  
     os.remove(path)
  
  except Exception as e:
  
     print(e)

  However after it download and ffmpeg up’s the video fine it gives me this error when trying to delete :
  [WinError 32] The process cannot access the file because it is being used by another process: './media/9e2zd5_new.mp4'

  And I don’t get it, because the ffmpeg task should be alright ? Maybe it’s a conflict between moviepy (used by Instagram-python-API) and ffmpeg subprocess ?

• How to make cropping when doing motion-tracking look super smooth ? (using cv2 and yolo v8)

  4 décembre 2024, par Thomas Lancer

  I'm using yolo to track a face in a video on a frame by frame basis, and then I'm using cv2 to crop the video (with some padding) around the speakers face so it creates a motion tracking type effect. (short example here : https://www.instagram.com/reel/DCIFkFEObkE/?hl=en)

  


  The problem I'm running into is my final crop looks "shaky". Like it's flickering a bit. I think this is because every frame yolo is updating the coordinates, and so there's a slight change in x, y and because of that it creates this shakiness/flickering effect. Here's what mine looks like compared to the example : https://drive.google.com/file/d/1MKHWK-5EH5abSq6i32r71GWld76tN1GP/view?usp=sharing

  


  You can see there's this "shakiness" type look to it. it's especially apparent when the speaker is relatively still.

  


  I've tried doing an exponential moving average and a few other averaging techniques but none have fixed it.

  


  Is my fundamental approach of doing a frame by frame crop wrong ? or is there just some smoothing algorithm or some dumb mistake that you think I may be making ? Any advice is mega appreciated !