yolo-multi-threading-for-100-camera-on-gpu
yolo multi threading for 100 camera on gpu at high speed
keep on adding the test.py or any python file inside a cuda enabled open cv environment i have tested it for 50 cameras you can test it for 200 if you have a powerfull gpu by changing video capture webcam id and rtsp sockets and videos
here is the tutorial on how to compile open cv for cuda and and my tutorial tells how to make gpu compiled open cv available in virtual environment please put the weights file of yolov4 yolov5 yolov6 yolov7 in testing.py code and place cfg and weights corresponding to each testing1.py testing2.py ,,,testing_n.py upto the gpu usage i hope you people understand this is the simple method for multi threading any python code and gpu(cuda) based code here is the tutorial how to opencv compile for gpu if you dont know how to compile it in windows use this website which opencv cuda precompiled and please support me by subscrbing to the channel
https://www.youtube.com/playlist?list=PLqinEaadXCHZB0PJPJnBvm3eXDGf4-JQe https://jamesbowley.co.uk/accelerate-opencv-4-5-0-on-windows-build-with-cuda-and-python-bindings/