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• dnn : add layer pad which is equivalent to tf.pad

  29 juillet 2019, par Guo, Yejun

  dnn : add layer pad which is equivalent to tf.pad
  the reason to add this layer first is that vf_sr uses it in its
  
  tensorflow model, and the next plan is to update the python script
  
  to convert tf.pad into native model.
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] libavfilter/dnn/Makefile
  • [DH] libavfilter/dnn/dnn_backend_native_layer_pad.c
  • [DH] libavfilter/dnn/dnn_backend_native_layer_pad.h

• FFmpeg eq filter equivalent value for css filter

  27 juillet 2018, par Praveen Tamil

  I’m showing the image with css filter applied in browser to how the output will be look like after processing.

  But the css filter accept the value in form of percent for contrast, brightness, saturation.
  But the ffmpeg’s eq filter is totally different and even more gamma params are used.

  I applied following filter in browser side

  filter: brightness(50%) contrast(100%) saturate(100%);
  
  filter: brightness(100%) contrast(100%) saturate(50%);
  
  filter: brightness(120%) contrast(100%) saturate(125%);

  I don’t how to do mapping these values to FFmpeg eq filter.

  I know below is the default code

  eq=contrast=1:brightness=0:saturation=1:gamma=1:gamma_r=1:gamma_g=1:gamma_b=1:gamma_weight=1 

  I need equivalent value of FFmpeg’s eq filter for above mentioned CSS filters.
  And mapping value from CSS filter to eq filter.

  css filter ref : https://www.w3schools.com/cssref/css3_pr_filter.asp

• copy streams equivalent for yt-dlp (python)

  25 décembre 2024, par GDjkhp

  I need the -c:v copy -c:a copy counterpart of ffmpeg postprocessing for yt-dlp in python.

  


  The following code is how I convert videos which is really slow.

  


          # imagine options -> dict
        options.update({
            'postprocessors': [{
                'key': 'FFmpegVideoConvertor',
                'preferedformat': arg, # can be mp4, webm, etc.
            }]
        })