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• hwcontext_vulkan : properly support STORAGE usage for mutliplane images

  5 octobre 2023, par Lynne

  hwcontext_vulkan : properly support STORAGE usage for mutliplane images
  Fixes multiplane support on Nvidia.
  Also, remove the ENCODE usage, even if the driver signals it as supported.
  
  Currently, it's not used, and when it is used, it'll be gated behind
  
  two extension checks.
  

  • [DH] libavfilter/vulkan_filter.c
  • [DH] libavutil/hwcontext_vulkan.c

• FFmpeg transcode GIF into Mp4 and Mp4 to AVI using GPU

  9 octobre 2023, par Cristian

  I'm trying to convert GIF animated to mp4 and mp4 to AVI with FFmpeg.

  


  I started to use just the CPU, but I have to process millions of GIFs/mp4 content pieces. So, I started to have a lot of errors processing them, and it ended as a bottleneck. Therefore, I'm trying to use GPU to process the videos.

  


  Converting GIF to mp4 with CPU, I run the following command :

  


  ffmpeg -i animated.gif -movflags faststart -pix_fmt yuv420p -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" video.mp4


  


  Using the GPU I'm trying the following :

  


  ffmpeg
  -y
  -hwaccel nvdec
  -hwaccel_output_format cuda
  -i gifInputPath
  -threads 1
  -filter_threads 1
  -c:v h264_nvenc
  -vf hwupload_cuda,scale_cuda=-2:320:240:format=yuv420p
  -gpu 0
   mp4VideoPath


  


  The above command generates an exit status 1.

  


  The following is the dmesg command log

  


  Converting mp4 videos to AVI videos I'm running the following command

  


  ffmpeg
-i videoInputPath
-vcodec rawvideo
-pix_fmt yuv420p
-acodec pcm_s16le
-ar 44100
-ac 2
-s 320x240
-r 4
-f avi
aviOutputVideoPath


  


  For GPU I tried :

  


  ffmpeg
 -y
 -hwaccel cuda
 -hwaccel_output_format cuda
 -i videoInputPath
 -threads 1
 -filter_threads 1
 -c:a pcm_s16le
 -ac 2
 -ar 44100
 -c:v h264_nvenc
 -vf hwupload_cudascale_cuda=-2:320:240:format=yuv420p
 -r 4
 -f avi
 -gpu 0
 aviOutputVideoPath


  


  The following is the dmseg output is log

  


  


  1. What should be the best command for converting the GIF into Mp4 and Mp4 into AVI based on CPU configuration using the GPU(Amazon Nvidia t4) for best performance, low CPU, and moderated GPU consumption ?

     


  


  2. What are the best suggestions to Process these content pieces concurrently using GPU ?

     


  


  


  Note : I'm using Golang to execute the FFmpeg commands.

  


• MoviePY write_videofile using GPU for faster encoding [closed]

  5 mai, par kaushal

  I'm creating a video from scratch using moviePY. I am generating all the required frames, adding required audio (including a voiceover and background music), adding a logo and finally writing the video file in 4K.

  


  Everything works fine, except the write_videofile takes a lot of time.

  


  I have read many related posts which mentions using the right codec etc. I have NVidia card, so tried both h264_nvenc and hevc_nvenc. Quality of the output video dropped with the first one, so I'm sticking to hevc_nvenc. I'm using below line to write the file.

  


          video_clip.write_videofile(targetfile, codec="hevc_nvenc", threads=32, fps=24)


  


  What I have noticed is, it does seem to be using the gpu, but very little. Compared to this, when I run stable diffusion or vegas rendering, it uses gpu a lot more.

  


  That's why I think there is definitely some scope of improvement here. If you see below screenshot, when the video file write starts, the gpu utilisation increases a tiny bit, but it can take a lot more I think, isn't it ?

  


  I can try various parameters that I've seen in other threads, like logger=None, progress_bar = False, ffmpeg_params=['-b:v','10000k'] etc., but they are not going to improve gpu utilisation in any shape or form. I've been wondering what am I missing.

  


  Any ideas or suggestions please ?