How can I optimize my streaming? about ultralytics

[REZIZ-TER]

2024-05-09.03-57-54.mp4

[glenn-jocher]

@REZIZ-TER hello!

It looks like your message might be missing a proper link or context for your query. Could you please repost the correct link or provide additional information about your issue?

Thank you! Looking forward to helping you!

[REZIZ-TER]

Hello @glenn-jocher, thanks for your reply.
The purpose of my work is to receive images from an IP camera using an RTSP URL and use them for object detection using YOLOv8. The problem I encountered was the image frames displayed by the command. cv2.imshow("yolov8", frame_resize) has a longer than realistic lag of 20-30 seconds. For example, I held up my finger at the time 10:35 minutes 20 seconds It was 10:35 minutes and 50 seconds before the picture of me holding up my finger appeared. or more which when I use this link rtsp://admin:[email protected]:554/Streaming/Channels/101
Watching the stream via VLC media player has a relatively small lag of 3-5 seconds, which is an acceptable time for me.

[shaimaahamam]

I have the same problem and I don't know why !

[glenn-jocher]

Hello,

It sounds like you're experiencing a streaming delay when using YOLOv8 with RTSP feeds. This delay is typically related to the buffering settings in your video capture pipeline. You can try reducing the buffer size in OpenCV to decrease the latency. Here's an example:

cap = cv2.VideoCapture(rtsp_url)
cap.set(cv2.CAP_PROP_BUFFERSIZE, 2)  # Set a small buffer size

Ensure your system and network are optimized for real-time streaming as well. If the issue persists, please share more details about your setup and any specific configurations you're using. That way, we can help diagnose the problem more effectively! 😊

[WojciechowskiMarek]

I was dealing same problem by using videocapture from cv2. My yolov8 detection sometimes takes long time and almost freeze. In meanwhile buffer is growing and it is not to use solution. For me important is to catch last frame (cleared buffer) and send it to detection (registration plates detection). I used solution with queue presented here:
https://stackoverflow.com/questions/54460797/how-to-disable-buffer-in-opencv-camera
You can read just frame from stream 😁

[glenn-jocher]

Hello @WojciechowskiMarek,

Thank you for sharing your experience and the solution you found! Using a queue to handle the frames and ensure you're processing the latest one is a great approach to mitigate the buffering issue. This can indeed help in maintaining real-time performance for tasks like registration plate detection. 😊

If anyone else is facing similar issues, implementing a queue to manage the frames can be a very effective solution. Thanks again for contributing to the discussion!