All I see, usually, is some AI YOLO algorithm applied to an offline video.
This is the first time that I've seen a "complete" setup. Any info to learn more on applying YOLO and similar models to real time streams (whatever the format)?
This is the first time that I've seen a "complete" setup. Any info to learn more on applying YOLO and similar models to real time streams (whatever the format)?
There's a reason why there's a whole family of models from tiny to huge.
You really need to have a thread consuming the frames and feeding them to a worker that can run on its own clock.
Under windows, say that I have an RTSP stream (or something similar)
Would you use a single python script with which one of this multithreading solutions?
1 import concurrent.futures
2 import multiprocessing
3 import threading
I'm on windows.
Ideally I'd like the frames to be dropped, so the inference is done on the last received frame? Is this a standard behaviour?
I thought that this topic yolo object recognition would have much more following, instead there are really only a few projects.
https://github.com/search?q=yolo+rtsp&type=repositories&s=fo...