使用python从gst管道抓取框架到opencv [英] Grab the frame from gst pipeline to opencv with python

问题描述

我正在使用 OpenCV 和GStreamer 0.10 .

I'm using OpenCV and GStreamer 0.10.

我使用此管道使用python提供的自定义套接字sockfd通过UDP接收MPEG ts数据包，并用xvimagesink显示它，并且效果很好.以下是此管道的推荐行:

I use this pipeline to receive the MPEG ts packets over UDP with a custom socket sockfd provided by python and display it with xvimagesink, and it works perfectly. Following commend line is for this pipeline:

PIPELINE_DEF = "udpsrc do-timestamp=true name=src blocksize=1316 closefd=false buffer-size=5600 !" \
           "mpegtsdemux !" \
           "queue !" \
           "ffdec_h264 max-threads=0 !" \
           "ffmpegcolorspace !" \
           "xvimagesink name=video"

现在，我想从此管道中获取一帧并使用OpenCV进行显示.我该怎么做?我对从appsink获取缓冲区数据了解很多.但是我仍然不知道如何将这些缓冲区转换为OpenCV的每个帧.感谢您的回复，以及任何帮助:]

Now, I want to get one frame from this pipeline and display it with OpenCV. How can I do it? I know a lot about getting buffer data from appsink. But I still do not know how to convert those buffer to each frames for OpenCV. Thanks for reply, and any help :]

推荐答案

谢谢，我尝试使用rtph264pay将实时视频流广播到udpsink.以下推荐行适用于gst管道:

Thanks, I have tried to use rtph264pay to broadcast the live video steam to udpsink. Following commend line is for the gst pipeline:

PIPELINE_DEF = 
"udpsrc name=src !" \               
"mpegtsdemux !" \       
"queue !" \               
"h264parse !" \ 
"rtph264pay !" \   
"udpsink host=127.0.0.1 port=5000"  

我建立了一个sdp文件，以使opencv喜欢videocapture("123.sdp")123.sdp可以接收它，以下内容是此sdp文件的内容:

And I built a sdp file to make it can be received by opencv likes videocapture("123.sdp") 123.sdp, following content is for this sdp file:

c=IN IP4 127.0.0.1 
m=video 5000 RTP/AVP 96 
a=rtpmap:96 H264/90000 

现在效果很好，只需删除"blocksize = 1316 closefd = false buffer-size = 5600"即可解除限制.

It worked well now, just need to delete "blocksize=1316 closefd=false buffer-size=5600" to release the limitation.

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