@MikeLud1 - Huge thanks for continuing Code Project AI development. Yolo11.net just works, and works well for me so far. Using ipcam-combined-v5 model in BI 6.0.1 results in practically no missed detections and really low inference times just using CPU on my test build.
Initially, I was getting 400 -700ms detection times, until I switched to a custom model, and now I get this:
Just curious if its possible to detect errors while 3d printing? A lot of the more expensive printers have cameras built in that detect when something goes wrong while printing. eg. object falls over, a nest ball of filament, clog, etc etc.