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• avfilter/vf_dnn_processing.c : add frame size change support for planar yuv format

  21 février 2020, par Guo, Yejun

  avfilter/vf_dnn_processing.c : add frame size change support for planar yuv format
  The Y channel is handled by dnn, and also resized by dnn. The UV channels
  
  are resized with swscale.
  The command to use espcn.pb (see vf_sr) looks like :
  
  ./ffmpeg -i 480p.jpg -vf format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:input=x:output=y -y tmp.espcn.jpg
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Reviewed-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] doc/filters.texi
  • [DH] libavfilter/vf_dnn_processing.c

• libavfilter : Add dehaze-filter option in existing derain.

  22 août 2019, par Xuewei Meng

  libavfilter : Add dehaze-filter option in existing derain.
  Add the support of dehaze filter in existing derain filter source
  
  code. As the processing procedure in FFmpeg is the same for current
  
  derain and dehaze, we reuse the derain filter source code. The
  
  model training and generation scripts are in repo
  
  https://github.com/XueweiMeng/derain_filter.git
  Reviewed-by : Steven Liu <lq@onvideo.cn>
  
  Signed-off-by : Xuewei Meng <xwmeng96@gmail.com>
  

  • [DH] doc/filters.texi
  • [DH] libavfilter/vf_derain.c

• Recording RTSP steam with Python

  6 mai 2022, par ロジャー

  Currently I am using MediaPipe with Python to monitor RTSP steam from my camera, working as a security camera. Whenever the MediaPipe holistic model detects humans, the script writes the frame to a file.

  


  i.e.

  


  # cv2.VideoCapture(RTSP)
# read frame
# while mediapipe detect
#   cv2.VideoWriter write frame
# store file


  


  Recently I want to add audio recording support. I have done some research that it is not possible to record audio with OpenCV. It has to be done with FFMPEG or PyAudio.

  


  I am facing these difficulities.

  


  


  1. When a person walk through in front of the camera, it takes maybe less than 2 seconds. For the RTSP stream being read by OpenCV, human is detected with MediaPipe, and start FFMPEG for recording, that human should have walked far far away already. So FFMPEG method seems not working for me.

     


  


  2. For PyAudio method I am currently studying, I need to create 2 threads establishing individual RTSP connections. One thread is for video to be read by OpenCV and MediaPipe. The other thread is for audio to be recorded when the OpenCV thread notice human is detected. I have tried using several devices to read the RTSP streams. The devices are showing timestamps (watermark on the video) with several seconds in difference. So I doubt if I can get video from OpenCV and audio from PyAudio in sync when merging them into one single video.

     


  


  


  Is there any suggestion how to solve this problem ?

  


  Thanks.