Metadata extraction after reading gstreamer pipeline with OpenCV

I am using the following pipeline to read video and then do some image processing and selection of specific tracking targets using OpenCV in Python. Video is being transmitted from a modified deepstream_test_2 python app to custom python script using OpenCV since deepstream_python_apps do not support frame extraction as of now otherwise this process could have been conducted using probe function.

cap = cv2.VideoCapture('gst-launch-1.0 udpsrc port=5200 ! application/x-rtp, media=(string)video, clock-rate=(int)90000 , encoding-name=(string)H264 , payload=(int)96  ! queue ! rtph264depay ! queue ! h264parse ! nvv4l2decoder ! nvvidconv ! video/x-raw,format=BGRx ! videoconvert ! video/x-raw,format=BGR ! appsink', cv2.CAP_GSTREAMER)

Currently I am transmitting metadata through udp ports in a modified deepstream_test_2 python app, but the bounding boxes are some frames out of sync since OpenCV is not reading the frames in realtime(there is a initial delay of 0.8-1 seconds) and as far as I have checked OpenCV cap buffersize change(to ensure realtime processing) is only supported by DS 1394 v2.x video backend.

I would like to know if there is a way to extract metadata from the pipeline after reading using OpenCV in Python since OpenCV does not have this feature.

Have you checked
Also, would you mind to share the modified deepstream_test_2 python app with me for further check?

Hi zararyounis,

Is this still an issue to support?
Any result can be shared?