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• ffmpeg rtsp stream to YouTube livestream not doing anything

  29 mai 2018, par felixosth

  I’m using C# to initiate ffmpeg. I’ve a onvif bridge server for a CCTV VMS and I’m building a application to enable the user to livestream any CCTV camera to YouTube.

  The rtsp stream to the camera looks like this :

  rtsp ://onvif:bridge@localhost:554/live/xxxxx-xxxguidtocameraxxx-xxxxx

  I’m new to ffmpeg and I’m using this arg :

  -f lavfi -i anullsrc -rtsp_transport udp -i camerastreamurl -tune zerolatency -vcodec libx264 -pix_fmt + -c:v copy -c:a aac -strict experimental -f flv rtmp ://x.rtmp.youtube.com/live2/streamkey -loglevel debug

  It seems like ffmpeg isn’t finding the camera stream, only the fake audio one. It just freezes.

  This is the result of the debug log :

  ffmpeg version N-91172-gebf85d3190 Copyright (c) 2000-2018 the FFmpeg developers
  
    built with gcc 7.3.0 (GCC)
  
    configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-bzlib --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth
  
    libavutil      56. 18.102 / 56. 18.102
  
    libavcodec     58. 19.104 / 58. 19.104
  
    libavformat    58. 17.100 / 58. 17.100
  
    libavdevice    58.  4.100 / 58.  4.100
  
    libavfilter     7. 24.100 /  7. 24.100
  
    libswscale      5.  2.100 /  5.  2.100
  
    libswresample   3.  2.100 /  3.  2.100
  
    libpostproc    55.  2.100 / 55.  2.100
  
  Splitting the commandline.
  
  Reading option '-f' ... matched as option 'f' (force format) with argument 'lavfi'.
  
  Reading option '-i' ... matched as input url with argument 'anullsrc'.
  
  Reading option '-rtsp_transport' ... matched as AVOption 'rtsp_transport' with argument 'udp'.
  
  Reading option '-i' ... matched as input url with argument 'rtsp://onvif:bridge@localhost:554/live/41cf4f34-e137-4559-8278-47d912c64c5b'.
  
  Reading option '-tune' ... matched as AVOption 'tune' with argument 'zerolatency'.
  
  Reading option '-vcodec' ... matched as option 'vcodec' (force video codec ('copy' to copy stream)) with argument 'libx264'.
  
  Reading option '-pix_fmt' ... matched as option 'pix_fmt' (set pixel format) with argument '+'.
  
  Reading option '-c:v' ... matched as option 'c' (codec name) with argument 'copy'.
  
  Reading option '-c:a' ... matched as option 'c' (codec name) with argument 'aac'.
  
  Reading option '-strict' ...Routing option strict to both codec and muxer layer
  
   matched as AVOption 'strict' with argument 'experimental'.
  
  Reading option '-f' ... matched as option 'f' (force format) with argument 'flv'.
  
  Reading option 'rtmp://x.rtmp.youtube.com/live2/xxxxxxxx' ... matched as output url.
  
  Reading option '-loglevel' ... matched as option 'loglevel' (set logging level) with argument 'debug'.
  
  Finished splitting the commandline.
  
  Parsing a group of options: global .
  
  Applying option loglevel (set logging level) with argument debug.
  
  Successfully parsed a group of options.
  
  Parsing a group of options: input url anullsrc.
  
  Applying option f (force format) with argument lavfi.
  
  Successfully parsed a group of options.
  
  Opening an input file: anullsrc.
  
  detected 8 logical cores
  
  [AVFilterGraph @ 0000027a34bad7c0] query_formats: 2 queried, 3 merged, 0 already done, 0 delayed
  
  [Parsed_anullsrc_0 @ 0000027a34badb80] sample_rate:44100 channel_layout:'stereo' nb_samples:1024
  
  [lavfi @ 0000027a34babc80] All info found
  
  Input #0, lavfi, from 'anullsrc':
  
    Duration: N/A, start: 0.000000, bitrate: 705 kb/s
  
      Stream #0:0, 1, 1/44100: Audio: pcm_u8, 44100 Hz, stereo, u8, 705 kb/s
  
  Successfully opened the file.
  
  Parsing a group of options: input url rtsp://onvif:bridge@localhost:554/live/41cf4f34-e137-4559-8278-47d912c64c5b.
  
  Successfully parsed a group of options.
  
  Opening an input file: rtsp://onvif:bridge@localhost:554/live/41cf4f34-e137-4559-8278-47d912c64c5b.
  
  [tcp @ 0000027a34bb5980] No default whitelist set

  Edit :
  I’m getting this result with minimal args :
  

• Downloading Youtube videos frames with FFMPEG without downloading the entire videos [closed]

  11 mars 2023, par zulle99

  I'm wondering if it is possible to download youtube videos frames using FFMPEG and not opencv without downloading the entire videos first. I'm asking this since it is known that opencv is very slow doing this and takes a huge amount of time if the sequence of videos is big like in my use case.

  


• FFmpeg Video Library Quick Review

  3 juillet 2019, par Rich_F

  I’m in need of reducing 18 videos so I can review them daily. I’d like to script some kind of compression or sampling using FFmpeg to not have to sit through 6 hours of video every day.

  What is the best way to review 6 hours of videos captured every day on SD cards ? The videos come in two cards, a 32 GB card ( 4 hours) and a 16 GB card ( 2 hours).

  Currently, I’m concatenating all videos and creating a screenshot every 3 seconds, which seems the longest I can go without missing something in the field of view (a vehicle will enter/leave). Still, this is thousands of images per card, and I select all, then preview and scroll down using page up/down. Any vehicle quickly appears in the thumbnails. This system isn’t bad, but I’m always inquisitive. I’m looking for more ways of sampling or seeing if any motion detection or frame analysis might register where I should be looking in my library of original captured videos.

  Options :

  1. Motion capture by analysis of frame by frame through trial and error on sensitivity to not measure wind on the bushes. This could be output to filename and time within the video (videos are captured 10 minutes long).

  2. Take my exported list of png files and string them together somehow into a slide show.

  3. Version 1 here, plus some retroactive capture of clips inside master clips.

  4. Some kind of compression. Again, I have to respect the 3-second max jump.

  Any other options that would be relatively easy to achieve without moving into any other software ? I’m trying to put the heavy lifting on the computer, as staring at videos is not something I’m finding I’ll be able to do for many days.