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• Non-monotonous DTS in output stream 0:1

  4 mai 2018, par sana

  I’m using ffmpeg to get a video file on network .I get the sound live but I it get the video too late. The code I use on the receiver side is :

   ffmpeg -i rtsp://10.0.0.1:8554/test1.sdp -acodec copy -vcodec copy /home/sana/lab/mrp/test1.avi

  The code I use On the sender side is :

  cvlc -vvv /home/sana/lab/video-server1/1.avi --sout '#transcode{vcodec=h264,vb=3000,scale=Auto,acodec=mp3,ab=128,channels=2,samplerate=8000}:rtp{dst=10.0.0.2,port=1234,sdp=rtsp://10.0.0.1:8554/test1.sdp}'

  the error in the output of the ffmpeg command(on the receiver) is :

   [avi @ 0x521ba80] Non-monotonous DTS in output stream 0:1; previous: 196, current: 162; changing to 197. This may result in incorrect timestamps in the output file

  the errors in the input of the vlc command(on the sender) is :

      [0x7f6070000f58] x264 encoder warning: invalid DTS: PTS is less than DTS
  
  
  
      [0x7f608c0009b8] main input error: ES_OUT_SET_(GROUP_)PCR  is called too late (pts_delay increased to 532 ms)
  
      [0x7f608c0009b8] main input error: ES_OUT_RESET_PCR called
  
      .
  
      .
  
      [mpeg4 @ 0x7f60700075a0] header damaged
  
      [0x7f6070000b08] avcodec generic warning: cannot decode one frame (4105 bytes)
  
      [mpeg4 @ 0x7f60700075a0] header damaged
  
      [0x7f6070000b08] avcodec generic warning: cannot decode one frame (4078 bytes
  
  
  
  )

  What does this actually mean and what can I do to prevent it from happening ?

  the ffmpeg version is 4.0-static and vlc version is VLC media player 2.1.6 Rincewind (revision 2.1.6-0-gea01d28) and ubuntu version is 14.04.

• How to make ffmpeg available inside my Docker container ?

  26 août 2019, par vcamargo

  I’m currently trying to run a ffmpeg Docker image inside my own container with docker-compose using the depends_on clause. But when I try to reach ffmpeg inside my code, it seems like it’s not available system-wide and I get an error. I believe I’m misconfiguring Docker.

  My current Dockerfile is as follows :

  FROM node:9
  
  
  
  WORKDIR /usr/app
  
  
  
  COPY package*.json ./
  
  
  
  RUN npm install --quiet
  
  
  
  COPY . .

  And my docker-compose.yml :

  version: '3'
  
  services:
  
    app:
  
      build: .
  
      command: npm run dev
  
      volumes:
  
      - .:/usr/app/
  
      - /usr/app/node_modules
  
      ports:
  
        - "3000:3000"
  
      depends_on:
  
        - ffmpeg
  
    ffmpeg:
  
      image: jrottenberg/ffmpeg:3.3

  When I run docker-compose up I can see that the ffmpeg is actually working, but then my application proceeds to start and it seems that ffmpeg ceases to work.

• 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