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• Revision ac50b75e50 : Use balanced model for intra prediction mode coding This commit replaces the pr

  20 juin 2015, par Jingning Han

  Changed Paths :
   Modify /vp9/common/vp9_entropymode.c

  
   Modify /vp9/common/vp9_entropymode.h

  
   Modify /vp9/decoder/vp9_decodeframe.c

  
   Modify /vp9/decoder/vp9_decodemv.c

  
   Modify /vp9/encoder/vp9_bitstream.c

  
   Modify /vp9/encoder/vp9_encodeframe.c

  
   Modify /vp9/encoder/vp9_pickmode.c

  
   Modify /vp9/encoder/vp9_rd.c

  
   Modify /vp9/encoder/vp9_rdopt.c

  
  
  Use balanced model for intra prediction mode coding

  This commit replaces the previous table based intra mode model
  coding with a more balanced entropy coding system. It reduces the
  decoder lookup table size by 1K bytes. The key frame compression
  performance is about even on average. There are a few points where
  the compression performance is improved by over 5%. Most test
  points are fairly close to the lookup table approach.

  Change-Id : I47154276c0a6a22ae87de8845bc2d494681b95f6

• Celery to process task and modify the model fields

  15 juillet 2015, par Robin

  I would like to convert video into mp4 using ffmpeg and celery for the asynchronous task. When user uploads a video, it will be for the original_video and save it. After that I want celery to convert it into a different version for the mp4_720 field. However I am confused on how to apply that logic using celery.

  app.models.py :

  class Video(models.Model):
  
      title = models.CharField(max_length=75)
  
      pubdate = models.DateTimeField(default=timezone.now)
  
      original_video = models.FileField(upload_to=get_upload_file_name)
  
      mp4_720 = models.FileField(upload_to=get_upload_file_name, blank=True, null=True)
  
      converted = models.BooleanField(default=False)

  app.views.py :

  def upload_video(request):
  
      if request.POST:
  
          form = VideoForm(request.POST, request.FILES)
  
          if form.is_valid():
  
              video = form.save(commit=False)
  
              video.save()
  
  
  
              // Celery to convert the video
  
              convert_video.delay(video)
  
  
  
              return HttpResponseRedirect('/')
  
      else:
  
          form = VideoForm()
  
      return render(request, 'upload_video.html', {
  
          'form':form
  
      })

  app.tasks.py :

  @app.task
  
  def convert_video(video):
  
  
  
      // Convert the original video into required format and save it in the mp4_720 field using the following command:
  
      //subprocess.call('ffmpeg -i (path of the original_video) (video for mp4_720)')
  
  
  
      // Change the converted boolean field to True
  
  
  
      // Save

  Basically my question is how to save the converted video in mp4_720. Your help and guidance will be very much appreciated. Thank you.

  ** update **

  What I want that method to do is first convert the video.original_video and then save the converted video in the video.mp4_720 field. If all has been done correctly, change the video.converted to True. How do I define the method to do so ?

• Revert "lavu/atomic : add support for the new memory model aware gcc built-ins"

  7 mars 2017, par James Almer

  Revert "lavu/atomic : add support for the new memory model aware gcc built-ins"
  This reverts commit faa9d2982969c999ab0e443a226eff116f7f8e4b.
  This change became superfluous when support for C11 atomics was introduced.
  
  Reverting it will make the removal of this implementation in an upcoming
  
  merge conflict free.
  Reviewed-by : wm4 <nfxjfg@googlemail.com>
  
  Signed-off-by : James Almer <jamrial@gmail.com>
  

  • [DH] configure
  • [DH] libavutil/atomic_gcc.h