That might sound a bit stupid
I have a stream of objects going on a conveyor belt (i can have any background color I want).
The objects all look like rectangular boxes. the vast majority of them are white. On rare occasions, one of them is black. In that case, I want to detect them with JeVois. Just getting a stream of x0,y0,x1,y1 containing areas in the image where the greyscale would be higher than a certain threshold and an area larger than a certain threshold would work.
It sounds way too mundane to resort to tensorflow, yolo, darknet, you name it. I guess some basic python and opencv could get that done. However, is there a default bundle module I can configure for such a usecase? (instead of coding anything)