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• avdevice/decklink_commmon : enhance error messages when iterator creation fails

  15 avril 2018, par Marton Balint

  avdevice/decklink_commmon : enhance error messages when iterator creation fails
  Show a more useful error message which specifies the required driver version
  
  for the build, and use the correct context in the error message for WIN32.
  Signed-off-by : Marton Balint <cus@passwd.hu>
  

  • [DH] libavdevice/decklink_common.cpp

• Unkown error while streaming using ffmpeg

  18 avril 2018, par Mehul Jain

  I was able to stream successfully from my laptop using the ffmpeg command :

  ffmpeg -re -f v4l2 -framerate 25 -video_size 320x240 -i /dev/video0 -an -f flv rtmp://IP:PORT/live_stream

  But now when i try this command it gives me an error :

  RTMP_Connect1, handshake failed.
  
  rtmp://40.69.56.29:1935/livedrone/myStream4: Unknown error occurred

  This is the complete output that i get

  ffmpeg version 2.8.11-0ubuntu0.16.04.1 Copyright (c) 2000-2017 the FFmpeg developers
  
    built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.4) 20160609
  
    configuration: --prefix=/usr --extra-version=0ubuntu0.16.04.1 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --cc=cc --cxx=g++ --enable-gpl --enable-shared --disable-stripping --disable-decoder=libopenjpeg --disable-decoder=libschroedinger --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librtmp --enable-libschroedinger --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzvbi --enable-openal --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzmq --enable-frei0r --enable-libx264 --enable-libopencv
  
    libavutil      54. 31.100 / 54. 31.100
  
    libavcodec     56. 60.100 / 56. 60.100
  
    libavformat    56. 40.101 / 56. 40.101
  
    libavdevice    56.  4.100 / 56.  4.100
  
    libavfilter     5. 40.101 /  5. 40.101
  
    libavresample   2.  1.  0 /  2.  1.  0
  
    libswscale      3.  1.101 /  3.  1.101
  
    libswresample   1.  2.101 /  1.  2.101
  
    libpostproc    53.  3.100 / 53.  3.100
  
  [video4linux2,v4l2 @ 0x1607920] The driver changed the time per frame from 1/25 to 1/30
  
  Input #0, video4linux2,v4l2, from '/dev/video0':
  
    Duration: N/A, start: 22502.942944, bitrate: 36864 kb/s
  
      Stream #0:0: Video: rawvideo (YUY2 / 0x32595559), yuyv422, 320x240, 36864 kb/s, 30 fps, 30 tbr, 1000k tbn, 1000k tbc
  
  RTMP_Connect1, handshake failed.
  
  rtmp://40.69.56.29:1935/livedrone/myStream4: Unknown error occurred

  I am unable to understand why is this happening, any help will be appreciated.

• 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