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• How to start/stop FFMPEG stream ?

  26 avril 2016, par Spartan

  I am using ip cam which provides streams mov/mp4. I am successfully saving the stream using this command :
  ffmpeg -i rtsp://@192.168.241.1:62156/abc.mp4 -acodec copy -vcodec copy c:/abcd.mp4

  Now I want to stop it programmatically for that I used following commands :
  Ctrl+C and q both are working fine(logs are showing in right manner) but in the end I am getting corrupt video file.

  Can any one guide me how can stop recording with clean execution.

• movenc : Allow setting start_dts/start_cts before writing actual packets

  3 novembre 2015, par Martin Storsjö

  movenc : Allow setting start_dts/start_cts before writing actual packets
  By writing a zero-sized packet, the caller can communicate the
  
  start_dts/start_cts for the stream without actually writing
  
  the first packet.
  This allows doing random-access writing of fragments when the
  
  start dts of the stream isn’t zero, so that the edit list in the moov
  
  is written based on timestamps from the nominal start time signaled
  
  via the zero-sized packet, while the first proper packet written
  
  corresponds to a later fragment.
  To avoid potential unexpected behaviour, empty packets only set
  
  start_dts if the frag_discont flag is set.
  Signed-off-by : Martin Storsjö <martin@martin.st>
  

  • [DBH] libavformat/movenc.c

• ffmpeg : nvidia gpu performance sub-optimal

  3 août 2021, par david furst

  the problem seems fairly basic : i'd like to create thumbnails from incoming video in the shortest time possible, and i'm trying to do this by offloading processing to an nvidia gpu.

  


  while i run ffmpeg, i'm monitoring the gpu usage with the nvidia-smi utility. gpu usage never goes above 15% and the amount of time to encode the thumbnails with gpu is only 10% less than the time required without the gpu. these performance levels are very disappointing.

  


  my question : am i going about this the wrong way (and if so, how should i go about it), or is this gpu performance 'normal'/'reasonable' ?

  


  SYSTEM INFORMATION

  


  the machine is a desktop pc running windows 10, 8gb ram, intel i7-7700. the gpu is an nvidia quadro pro 4000 with cuda 11.4 installed. ffmpeg is version N-101372-gb5cb8c8767-g2fc309e699+4 (2021) running under mingw, with --enable-cuda --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-libnpp --enable-nvdec and --enable-nvenc.

  


  a typical ffmpeg command line i've used is :

  


   1 ffmpeg -hide_banner \
 2     -init_hw_device cuda=cuda:0 -filter_hw_device cuda \
 3     -hwaccel_output_format cuda \
 4     -i "$infile" \
 5     -vf "hwupload_cuda,scale_npp=w=200:h=150:format=yuv420p:interp_algo=lanczos,fps=1/1,hwdownload,format=yuv420p" \
 6     -y "$outdir/%08d.png"


  


  i've varied the above by supplementing some cuda-related parameters according to posts i've read here on stackoverflow and on the nvidia transcoding guide, but haven't been able to improve performance. adding any of -hwaccel cuda, -hwaccel cuvid, -hwaccel nvenc at the beginning of line 3 results in the error :
Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'

  


  any pointers appreciated.