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• FFMPEG - Width/ Height Not Divisible by 2 (Scaling to Generate MBR Output)

  15 avril 2020, par Sanjeev Pandey

  I am trying to generate multilple variants of videos in my library (Mp4 formats) and have renditions planned ranging from 1080p to 240p and popular sizes in between. For that I am taking a video with a AxB resolution and then running through a code (on bash) which scales them to desired following sizes - 
426x240
640x360
842x480
1280x720
1920x1080, with different bitrates of course, and then saves as Mp4 again.

  



  Now, this works just fine if source video has height and width divisible by 2, but code breaks on the following line for the videos with odd width and height :
-vf scale=w=${width}:h=${height}:force_original_aspect_ratio=decrease"

  



  Where 'width' and 'height' are the desired (and hardcoded) for every iteration : E.g. "426x240", and "640x360"

  



  The Error :
[libx264 @ 00000187da2a1580] width not divisible by 2 (639x360)
Error initializing output stream 1:0 -- Error while opening encoder for output stream #1:0 - maybe incorrect parameters such as bit_rate, rate, width or height

  



  Now approaches those are explained in this one doesn't work for me since I am scaling - FFMPEG (libx264) "height not divisible by 2"

  



  And, I tried this one too but it seems all qualities are getting the same size -ffmpeg : width not divisible by 2 (when keep proportions)

  



  


  

  • This is how I tried to use this one : scale='bitand(oh*dar,65534)':'min(${height},ih)'

  


  


  



  Kindly suggest how to solve this, keeping in view that :
1. I have a very large library and I can't do manual change for every video
2. I need to scale the video and keep the aspect ratio

  



  Thanks !

  



  PS : [Edit] One way that I can see is padding all of the odd height/ weight videos using a second script in advance. This however doubles my work time and load. I would prefer to keep it in single script. This is the script I see that I can use for padding :
```ffmpeg -r 24 -i -vcodec libx264 -y -an -vf "pad=ceil(iw/2)*2:ceil(ih/2)*2"`` (from : FFMPEG (libx264) "height not divisible by 2")

  


• FFMediaElement : How to stream from CamLink 4K ?

  15 janvier 2021, par Pedro

  I would like to use Unosquare's FFME library (v4.2.330) to show a live stream from a Cam Link 4K hdmi grabber.Using the following code, however, the media element remains black, even though the media has successfully been opened and no exceptions are raised.

  


      


    private void OnLoaded(object sender, RoutedEventArgs e)
    {
        this.media.Open(new Uri("device://dshow/?video=Cam Link 4K"));
    }

    private void media_MediaInitializing(object sender, Unosquare.FFME.Common.MediaInitializingEventArgs e)
    {
        e.Configuration.PrivateOptions["framerate"] = "50";
        e.Configuration.PrivateOptions["video_size"] = "1920x1080";
        e.Configuration.PrivateOptions["vcodec"] = "rawvideo"; //also tried mjpeg
        e.Configuration.PrivateOptions["pixel_format"] = "yuyv422"; //also tried yuv420p
    }
    
    private void media_MediaFailed(object sender, Unosquare.FFME.Common.MediaFailedEventArgs e)
    {
        log.Error(e.ErrorException);
    }


  


  Using VLC player everything works fine, so I suppose it has something to do with parameters set during MediaInitializing. In order to get the correct parameters I ran ffmpeg -f dshow -i video="Cam Link 4K" which outputs

  


  Input #0, dshow, from 'video=Cam Link 4K':
  Duration: N/A, bitrate: N/A
    Stream #0:0: Video: rawvideo (YUY2 / 0x32595559), yuyv422, 1920x1080, 50 fps, 50 tbr, 10000k tbn, 10000k tbc


  


  By running ffmpeg -f dshow -pix_fmt yuv420p -i video="Cam Link 4K" -framerate 50 -vcodec mjpeg test.mkv I am able to record everthing into the file.

  


  During startup I am setting Unosquare.FFME.Library.FFmpegDirectory = @"C:\ffmpeg";, where I put the prebuilt binaries and shared libraries for ffmpeg 4.2.1 (win64). Also I made sure my project is targeting x64. Since MediaElement works with regular mp4 files, I am not sure which parameters/settings I am missing.

  


• lavfi/dnn : Async Support for TensorFlow Backend

  8 août 2021, par Shubhanshu Saxena

  lavfi/dnn : Async Support for TensorFlow Backend
  This commit enables async execution in the TensorFlow backend
  
  and adds function to flush extra frames.
  The async execution mechanism executes the TFInferRequests on
  
  a separate thread which is joined before the next execution of
  
  same TFRequestItem/while freeing the model.
  The following is the comparison of this mechanism with the existing
  
  sync mechanism on TensorFlow C API 2.5 CPU variant.
  Async Mode : 4m32.846s
  
  Sync Mode : 5m17.582s
  The above was performed on super resolution filter using SRCNN model.
  Signed-off-by : Shubhanshu Saxena <shubhanshu.e01@gmail.com>
  

  • [DH] libavfilter/dnn/dnn_backend_tf.c
  • [DH] libavfilter/dnn/dnn_backend_tf.h
  • [DH] libavfilter/dnn/dnn_interface.c