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• De-interlace hardware with FFMpeg Cuda/cuvid decoder is not working anymore ?

  15 novembre 2017, par Red5goahead

  Is it possible that with Nvidia whql driver (385.69) for Windows 10 x64 1709 Cuda is not working to deinterlace H264 video stream ?

  Mpc-HC, lav codec screenshot setup
  

  Please refer to this one minute sample /111 MB

  I tried with MPC-HC and FFMPEG h264_cuvid decoder with -hwaccels and -deint switch (-resize it’s working fine for example), no other sw filter in the chain of course, the result color space is Cuda/NV12

• lavfi : generic hardware surface upload and download filters

  25 février 2016, par Mark Thompson

  lavfi : generic hardware surface upload and download filters
  Signed-off-by : Anton Khirnov <anton@khirnov.net>
  

  • [DBH] doc/APIchanges
  • [DBH] libavfilter/Makefile
  • [DBH] libavfilter/allfilters.c
  • [DBH] libavfilter/avfilter.c
  • [DBH] libavfilter/avfilter.h
  • [DBH] libavfilter/version.h
  • [DBH] libavfilter/vf_hwdownload.c
  • [DBH] libavfilter/vf_hwupload.c

• Trouble with hardware-assisted encoding/decoding via FFmpeg on Azure GPU vm's (ubuntu 16.04)

  17 avril 2018, par user3776020

  I am trying to use NVIDIA hardware acceleration with FFmpeg/libav, but can’t get it to work correctly on Azure vm’s running Ubuntu 16.04. For a sample case, I am trying to do a simple decoding of an h264 video into a raw YUV file (as detailed here : https:// developer.nvidia.com/ffmpeg).

  So far, I’ve tried it on NC-6, NC-12, and NV-6 machines (in different regions). In each of these instances, it would take about 30-45 seconds to process a single video frame. As a comparison, I also tried it on a P2.xlarge vm on AWS (which has very similar specs to the NC-6), which was able to process about 3000 frames in about 5 seconds. Has anyone else run into this issue with Azure machines, or has any idea why this would be the case ?

  Here are the commands I used to install the necessary drivers/libraries/etc (I also verified that each machine as the same NVIDIA driver version installed - 375.51) :

  CUDA_REPO_PKG=cuda-repo-ubuntu1604_8.0.61-1_amd64.deb

  wget -O /tmp/$CUDA_REPO_PKG
  http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/$CUDA_REPO_PKG

  sudo dpkg -i /tmp/$CUDA_REPO_PKG

  sudo apt-get update

  sudo apt-get install -y cuda-drivers

  sudo apt-get install -y cuda

  sudo apt-get install -y nvidia-cuda-toolkit

  [reboot]

  sudo apt-get update

  sudo apt-get upgrade -y

  sudo apt-get dist-upgrade -y

  [reboot]

  git clone https://github.com/FFmpeg/FFmpeg.git

  [download the latest video codec SDK from NVIDIA at : https://
  developer.nvidia.com/designworks/video_codec_sdk/downloads/v7.1]

  [unzipped codec, and copy header files from
  /Video_Codec_SDK_7.1.9/Samples/common/inc/ into /usr/include/]

  cd /FFmpeg

  ./configure —enable-nonfree —disable-shared —enable-nvenc
  —enable-cuda —enable-cuvid —enable-libnpp —extra-cflags=-Ilocal/include —extra-cflags=-I../nv_sdk —extra-ldflags=-L../nv_sdk

  sudo make && sudo make install

  For the FFmpeg command that I used to decode a sample movie file, I used the following :

  sudo ffmpeg -vsync 0 -c:v h264_cuvid -i sample_vid.mp4 -f rawvideo outputvid.yuv