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• ffmpeg custom compile options with hardware/software support

  14 mars 2023, par Capitalmind

  My last compile enabled nvidia/cuda but even though I included —enable-nonfree in the configure, I had issues encoding videos, with outputs like :

  


  ffmpeg -hwaccel cuvid -c:v h264_cuvid -resize 1920x1080 -i Input.mkv -c:a copy -c:v h264_nvenc -preset slow -rc vbr_hq -cq 18 Output.mkv

  


  Giving errors like :

  


  ffmpeg -hwaccel cuvid -c:v h264_cuvid -resize 1920x1080 -i /media/zuultux/Video/Movies/Lawrence.of.Arabia.1962.UHD.BluRay.2160p.TrueHD.Atmos.7.1.HEVC.mkv -c:a copy -c:v h264_nvenc -preset slow -rc vbr_hq -cq 18 /media/zuultux/Video/Lawrence.of.Arabia.1962.UHD.BluRay.1080p.TrueHD.Atmos.7.1.HEVC.mkv


  


  [hevc_cuvid @ 0x5624718179c0] Codec hevc_cuvid is not supported.
Stream mapping:
  Stream #0:0 -> #0:0 (hevc (hevc_cuvid) -> h264 (h264_nvenc))
  Stream #0:1 -> #0:1 (copy)


  


  My actual configure reads :

  


  ./configure --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64


  


  There a heaps of options on Githhub. Can anyone suggest how to include parameters that specifically :

  


  

  • Toggle enable AMD64/Nvidia or non-hardware processing

  


  • All free and non-free codecs, but particularly VC9, H264/265

  


  • Or basically enable as many features as possible !

  


  


  Note I already have ubuntu-restricted-extras installed.

  


  Configuration used compiled correctly but gave errors when using. Several media files selected to test. nvidia-smi command responds NVIDIA-SMI 470.161.03 Driver Version : 470.161.03 CUDA Version : 11.4

  


  ---

  


  Edit

  


  After fixing the problem I thought to share my results on Github. https://github.com/Capitalmind/makeffmpeg

  


• Reading custom SEI message when decoding using VideoCodec (NVENC)

  23 avril 2018, par cloudraven

  I have a series of videos with custom information encoded in the sei message NAL. Is it possible to read that information when decoding using the Nvidia hardware decoder. If it is not supported, should I use FFMPEG compiled with NVENC support instead ?

  UPDATE :
  I want to decode the media and read the SEI message. I am streaming live video and including postprocessing info in the sei message. The client has to use that info to apply effects to the decoded media.
  Decoding the media as quickly as possible is important, and I want to do it in hardware. I assume that the Nvidia decoder must parse the NAL units to decode them. I would like to avoid duplicating work if possible.

• Sequelize FFMPEG get video after upload on NodeJs

  30 juin 2020, par jjplack

  Hello After upload a video to db using sequelize, i would like to edit it using FFMPEG

  


  So to get the video is just point the model attribute to FFMPEG ?

  


  Because using the file path is not editing the video.

  


  For exemple :

  


  fastify.route({
    method: "POST",
    url: "/posts",
    preHandler: upload.single("video"),

    handler: async function(request, reply) {
      const { Post } = fastify.sequelize;

      const videoPath = "./public/uploads/";

 

     

      const post = await Post.create({
        video: request.file.path,
        title: request.body.title,
   
      });
      reply.code(201).send(post);


 

try {
   const process = new ffmpeg(post.video);
  process.then(function (video) {
    video.addCommand('-ss', '00:01:00')
    video.addCommand('-vframes', '1')
    video.save(videoPath, function (error, file) {
        if (!error)
          console.log('Video file: ' + file);
      });
  }, function (err) {
    console.log('Error: ' + err);
  });
} catch (e) {

  console.log(e.msg);

}
      
    }
  });