OK, preliminary results look promising (ie: I didn't completely break anything...yet
). I have this version running on the two cams that I had DeepStack running on previously, and after some minor tweaks to adapt to the newer model names (ipcam-general, ipcam-combined in my case) and ports used (5000 still works for now, it actually had some trouble working with the 32168, but that might be solvable with a reboot).
Could anyone please remind me where to find the classifications (person, vehicle, car, animal, etc....) used when running the various custom models, I seem to have misplaced my links to those explanations.
Also, I have Default Object detection turned off in BI, so naturally the CP-AI dashboard also shows the "Object Detection (.NET)" service as "Not Enabled". I presume that turning it on within BI will start it up. Any reccomendations on when this SHOULD be used (ie: only with a high-power NVIDIA GPU card, as I run CPU only)? Also, what object names apply in that use case?
Finally, I keep seeing references to the various YOLOV5 models: where are they to be found and enabled? I don't even see references to them in the CP-AI dashboard dropdown boxes when testing and benchmarking, much less within BI...