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• ffmpeg : capture rtsp stream continously without stoping

  21 décembre 2019, par Santhosh Yedidi

  I am trying to capture an rtsp stream

  ffmpeg -rtsp_transport tcp -i "rtsp://...." -acodec copy -vcodec copy file.ts

  But this will only record for few seconds and stop

  ffmpeg version n4.1.2 Copyright (c) 2000-2019 the FFmpeg developers
  
    built with gcc 8.2.1 (GCC) 20181127
  
    configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-fontconfig --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libdrm --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libiec61883 --enable-libjack --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-nvdec --enable-nvenc --enable-omx --enable-shared --enable-version3
  
    libavutil      56. 22.100 / 56. 22.100
  
    libavcodec     58. 35.100 / 58. 35.100
  
    libavformat    58. 20.100 / 58. 20.100
  
    libavdevice    58.  5.100 / 58.  5.100
  
    libavfilter     7. 40.101 /  7. 40.101
  
    libswscale      5.  3.100 /  5.  3.100
  
    libswresample   3.  3.100 /  3.  3.100
  
    libpostproc    55.  3.100 / 55.  3.100
  
  [rtsp @ 0x564a002b4e80] max delay reached. need to consume packet
  
  [rtsp @ 0x564a002b4e80] RTP: missed 3 packets
  
  [h264 @ 0x564a002b8a80] out of range intra chroma pred mode
  
  [h264 @ 0x564a002b8a80] error while decoding MB 8 43
  
  [h264 @ 0x564a002b8a80] concealing 1401 DC, 1401 AC, 1401 MV errors in I frame
  
  Input #0, rtsp, from 'rtsp://...':
  
    Metadata:
  
      title           : RTSP Session/2.0
  
    Duration: N/A, start: 0.463333, bitrate: N/A
  
      Stream #0:0: Video: h264 (Main), yuvj420p(pc, progressive), 1280x960, 15 fps, 100 tbr, 90k tbn, 30 tbc
  
  Output #0, mpegts, to 'file.ts':
  
    Metadata:
  
      title           : RTSP Session/2.0
  
      encoder         : Lavf58.20.100
  
      Stream #0:0: Video: h264 (Main), yuvj420p(pc, progressive), 1280x960, q=2-31, 15 fps, 100 tbr, 90k tbn, 90k tbc
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (copy)
  
  Press [q] to stop, [?] for help
  
  frame=  380 fps= 16 q=-1.0 Lsize=    6962kB time=00:00:24.86 bitrate=2293.5kbits/s speed=1.06x    
  
  video:6416kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 8.512586%

  How to keep the recording continous

• FFmpeg '-bframebias' option gone ? [closed]

  18 mars 2013, par RRN

  Recently I updated ffmpeg to version 1.1, when I run a command containing bframebias, it showed an error :

  Unrecognized option 'bframebias'.
  
  Error splitting the argument list: Option not found

  This command used to work fine. So the option bframebias is removed or it is replaced by another option ?

  C:\Users\Raymond\Downloads\ffmpeg-1.1-win32-static\bin>ffmpeg -i C:\Users\Raymon
  
  d\Desktop\IntroductiontoITILREAD2.wmv -vcodec libx264 -r 25 -b:v 1500k -profile:
  
  v main -level 41 -bf 3 -direct-pred auto -b_strategy 1 -weightb 1 -bidir_refine
  
  1 -b-pyramid none -bframebias 0 -8x8dct 0 -partitions i8x8,i4x4,p8x8,p4x4,b8x8 -
  
  maxrate 24000k -bufsize 24000k -bt 1.0 -qcomp 0.60 -me_range 16 -sc_threshold 40
  
   -me_method hex -subq 7 -cmp chroma -qmax 69 -qmin 10 -i_qfactor 0.71 -b_qfactor
  
   0.77 -trellis 0 -refs 2 -mixed-refs 0 -coder 1 -fast-pskip 1 -flags +loop -debl
  
  ock 0:0 -rc-lookahead 40 -mbtree 1 -psy 1 -slices 0 -slice-max-size 0 -preset fa
  
  st -acodec libvo_aacenc -profile:a aac_low -ar 48000 -ab 128000 -ac 2 -s 720x576
  
   -aspect 16:9 -f matroska C:\Users\Raymond\Desktop\OUTPUT.mkv
  
  
  
  ffmpeg version 1.1 Copyright (c) 2000-2013 the FFmpeg developers
  
    built on Jan  8 2013 16:10:57 with gcc 4.7.2 (GCC)
  
    configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-av
  
  isynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enab
  
  le-libass --enable-libbluray --enable-libcaca --enable-libfreetype --enable-libg
  
  sm --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --e
  
  nable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --e
  
  nable-libtheora --enable-libtwolame --enable-libvo-aacenc --enable-libvo-amrwben
  
  c --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libxavs --enable-
  
  libxvid --enable-zlib
  
  
  
    libavutil      52. 13.100 / 52. 13.100
  
    libavcodec     54. 86.100 / 54. 86.100
  
    libavformat    54. 59.106 / 54. 59.106
  
    libavdevice    54.  3.102 / 54.  3.102
  
    libavfilter     3. 32.100 /  3. 32.100
  
    libswscale      2.  1.103 /  2.  1.103
  
    libswresample   0. 17.102 /  0. 17.102
  
    libpostproc    52.  2.100 / 52.  2.100
  
  
  
  Unrecognized option 'bframebias'.
  
  Error splitting the argument list: Option not found

• Strange results when converting rgb yuv using ffmpeg in python

  20 avril 2020, par user3569998

  I have JPG images and I am trying to do the following :

  



  

  1. resize the input and save the result into PNG

  


  2. convert PNG images to YUV (for instance yuv444p10le) in AVI container

  


  3. convert AVI back to PNG image.

  


  



  I am using python 3 and ffmpeg Linux version installed on Colab

  



  I printed the difference between resized_png and restored_png. I have values of 255 which doesn't make sense at all.

  



   [[[  0 255   1]
  [  0   0   1]
  [  0 255   1]
  ...
  [  1   0   0]
  [  1   0   0]
  [  2   0   1]]

 [[  0 255   1]
  [  0 255   1]
  [  1   0   0]
  ...
  [  1   0   0]
  [  1   0   0]
  [  1   0   0]]

 [[  0   0   1]
  [  0   0   1]
  [  0   0   1]
  ...
  [  1 255   0]
  [  1 255   1]
  [  1   0   0]]

 ...

 [[255   0   0]
  [255   0   1]
  [255   0   1]
  ...
  [  0   0   0]
  [  0   0   1]
  [255   0   1]]

 [[255   0   1]
  [255   0   1]
  [255   0   1]
  ...
  [  0   0   1]
  [  0   0   1]
  [  0   0   0]]

 [[255   0   1]
  [255   0   1]
  [255   0   1]
  ...
  [255   1   0]
  [255   0   0]
  [255   0   1]]]


  



  input_image = '/content/drive/My Drive/Colab Notebooks/adv_dnn/datasets/im2.jpg'
output_resized = '/content/drive/My Drive/Colab Notebooks/adv_dnn/datasets/im2.png'
folder_path = '/content/drive/My Drive/Colab Notebooks/adv_dnn/datasets/'

#do resize
# code = subprocess.call('cd /usr/bin/ffmpeg',  shell=True)
# print(code)
cmd_resize = ['ffmpeg', '-y', '-i',  input_image,'-vf', 'scale=224:224', output_resized]
process = subprocess.Popen(cmd_resize, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
out, err = process.communicate()
print(out)
print(err)

fmt = ['yuv420p', 'yuv420p10le', 'yuv444p', 'yuv444p10le']
for f in fmt:
  cmd2YUV = ['ffmpeg', '-y', '-i', output_resized, '-c:v', 'libx264', '-preset', 'placebo',\
             '-qp', '0', '-x264-params', "keyint=15:no-deblock=1", '-pix_fmt', f, \
             '-sws_flags', 'spline+accurate_rnd+full_chroma_int', \
             '-vf', "colorspace=bt709:iall=bt601-6-625:fast=1", '-color_range', '1', '-colorspace', '1', 
             '-color_primaries', '1', '-color_trc', '1', folder_path+'im2_'+f+'.avi']
  process = subprocess.Popen(cmd2YUV, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
  out, err = process.communicate()
  print(out)
  print(err)

  cmd2PNG = ['ffmpeg', '-y', '-i',  folder_path+'im2_'+f+'.avi', '-compression_level', '10', '-pred', 'mixed', \
             '-pix_fmt', 'rgb24', '-sws_flags', '+accurate_rnd+full_chroma_int', \
             folder_path+'im2_'+f+'.png']
  process = subprocess.Popen(cmd2PNG, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
  out, err = process.communicate()
  print(out)
  print(err)

im1=pilim.open('/content/drive/My Drive/Colab Notebooks/adv_dnn/datasets/im2.png')
im2=pilim.open('/content/drive/My Drive/Colab Notebooks/adv_dnn/datasets/im2_yuv444p10le.png')
im1_2d = np.asarray(im1)
im2_2d = np.asarray(im2)
print(im2_2d-im1_2d)