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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 :
  

• ffmpeg - Writing thumbnail to Azure Blob Storage

  20 juin 2018, par Heinrich

  Is is possible to write directly to Azure using ffmpeg ? I am using ffmpeg to generate thumbnails for videos and I need to save them to an Azure Blob storage using a pre generated SAS url, is this possible ?
  When I run ffmpeg it seems to run happily, without any trace of errors as far as I can tell, but the file is never written\create in the storage. I know the target url works as I can upload a file to exact same url using postman.

  Below is the ffmpeg command that I am trying to get to work :

  .\ffmpeg.exe -i {srcurl} -loglevel 48 -frames:v 1 -y -method PUT -chunked_post 0 -headers "x-ms-blob-type: BlockBlob" -f apng {targeturl}

  I took the urls out as they are to long but the are both in the format as below :

  https://{host}.blob.core.windows.net/{pathtofile}/{filename}?sp=r&st=2018-06-03T23:07:25Z&se=2018-06-04T07:07:25Z&spr=https&sv=2017-11-09&sig={signature}

  Now I know that it works to some degree because if I write the file locally everything is happy. ffmpeg is able to get the video from the source url, read the file and create a thumbnail locally.

  The thing that confuses me more however is that if I specify a rubbish url path, one where I know it shouldn’t have permission to write to, it still does not complain at all.

  It is able to resolve the host name because changing the host to some non-existent one it will cause the "Failed to resolve hostname" error.

• Open CV Codec FFMPEG Error fallback to use tag 0x7634706d/'mp4v'

  22 mai 2019, par Cohen

  Doing a filter recording and all is fine. The code is running, but at the end the video is not saved as MP4. I have this error :

  OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
  
  OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'

  Using a MAC and the code is running correctly, but is not saving. I tried to find more details about this error, but wasn’t so fortunate. I use as editor Sublime. The code run on Atom tough but is giving this error :

  OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
  
  OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
  
  2018-05-28 15:04:25.274 Python[17483:2224774] AVF: AVAssetWriter status: Cannot create file

  ....

  import numpy as np
  
  import cv2
  
  import random
  
  from utils import CFEVideoConf, image_resize
  
  import glob
  
  import math
  
  
  
  
  
  cap = cv2.VideoCapture(0)
  
  
  
  frames_per_seconds = 24
  
  save_path='saved-media/filter.mp4'
  
  config = CFEVideoConf(cap, filepath=save_path, res='360p')
  
  out = cv2.VideoWriter(save_path, config.video_type, frames_per_seconds, config.dims)
  
  
  
  
  
  def verify_alpha_channel(frame):
  
      try:
  
          frame.shape[3] # looking for the alpha channel
  
      except IndexError:
  
          frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)
  
      return frame
  
  
  
  
  
  def apply_hue_saturation(frame, alpha, beta):
  
      hsv_image = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
  
      h, s, v = cv2.split(hsv_image)
  
      s.fill(199)
  
      v.fill(255)
  
      hsv_image = cv2.merge([h, s, v])
  
  
  
      out = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
  
      frame = verify_alpha_channel(frame)
  
      out = verify_alpha_channel(out)
  
      cv2.addWeighted(out, 0.25, frame, 1.0, .23, frame)
  
      return frame
  
  
  
  
  
  def apply_color_overlay(frame, intensity=0.5, blue=0, green=0, red=0):
  
      frame = verify_alpha_channel(frame)
  
      frame_h, frame_w, frame_c = frame.shape
  
      sepia_bgra = (blue, green, red, 1)
  
      overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
  
      cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
  
      return frame
  
  
  
  
  
  def apply_sepia(frame, intensity=0.5):
  
      frame = verify_alpha_channel(frame)
  
      frame_h, frame_w, frame_c = frame.shape
  
      sepia_bgra = (20, 66, 112, 1)
  
      overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
  
      cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
  
      return frame
  
  
  
  
  
  def alpha_blend(frame_1, frame_2, mask):
  
      alpha = mask/255.0 
  
      blended = cv2.convertScaleAbs(frame_1*(1-alpha) + frame_2*alpha)
  
      return blended
  
  
  
  
  
  def apply_circle_focus_blur(frame, intensity=0.2):
  
      frame = verify_alpha_channel(frame)
  
      frame_h, frame_w, frame_c = frame.shape
  
      y = int(frame_h/2)
  
      x = int(frame_w/2)
  
  
  
      mask = np.zeros((frame_h, frame_w, 4), dtype='uint8')
  
      cv2.circle(mask, (x, y), int(y/2), (255,255,255), -1, cv2.LINE_AA)
  
      mask = cv2.GaussianBlur(mask, (21,21),11 )
  
  
  
      blured = cv2.GaussianBlur(frame, (21,21), 11)
  
      blended = alpha_blend(frame, blured, 255-mask)
  
      frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
  
      return frame
  
  
  
  
  
  def portrait_mode(frame):
  
      cv2.imshow('frame', frame)
  
      gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
  
      _, mask = cv2.threshold(gray, 120,255,cv2.THRESH_BINARY)
  
  
  
      mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2BGRA)
  
      blured = cv2.GaussianBlur(frame, (21,21), 11)
  
      blended = alpha_blend(frame, blured, mask)
  
      frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
  
      return frame
  
  
  
  
  
  def apply_invert(frame):
  
      return cv2.bitwise_not(frame)
  
  
  
  while(True):
  
      # Capture frame-by-frame
  
      ret, frame = cap.read()
  
      frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA) 
  
      #cv2.imshow('frame',frame)
  
  
  
  
  
      hue_sat = apply_hue_saturation(frame.copy(), alpha=3, beta=3)
  
      cv2.imshow('hue_sat', hue_sat)
  
  
  
      sepia = apply_sepia(frame.copy(), intensity=.8)
  
      cv2.imshow('sepia',sepia)
  
  
  
      color_overlay = apply_color_overlay(frame.copy(), intensity=.8, red=123, green=231)
  
      cv2.imshow('color_overlay',color_overlay)
  
  
  
      invert = apply_invert(frame.copy())
  
      cv2.imshow('invert', invert)
  
  
  
      blur_mask = apply_circle_focus_blur(frame.copy())
  
      cv2.imshow('blur_mask', blur_mask)
  
  
  
      portrait = portrait_mode(frame.copy())
  
      cv2.imshow('portrait',portrait)
  
  
  
      if cv2.waitKey(20) & 0xFF == ord('q'):
  
          break
  
  
  
  # When everything done, release the capture
  
  cap.release()
  
  cv2.destroyAllWindows()