I got an Apple Studio (M1 Ultra chip) with hopes that it would dramatically cut down on the ObjectCapture rendering. I am using a benchmark to compare same rendering process on M1 Ultra and an M2 Pro. The times are the same almost to the second. (btw, the render quality lately is getting better and better and it's amazing, thanks for work) For speed/performance, I am wondering - with a 10 core processor and all of the extra resources on Studio/M1 Ultra - should I be modifying my code to make use of all 10 cores? And/or is there a config setting or something? GPUs? Could 'external graphics processor' be part of the solution? I'm not a seasoned Apple developer, so my apologies if this has obvious answer...

I have set up a project using DeepLabV3 for image semantic segmentation using the pre-trained DeepLabV3 model from Apple. This works consistently well for delineating (creating a black/white mask) the main object in a given image, but only as long as that main object is a person. When I try other random objects (coffee cups, tractor, stapler), with very clear outline/contrast, I get very poor results, if not a completely black mask. Is the pre-trained DeepLabV3 model just for people? If I need to do something (re-training, config, etc), what is it? Thanks, Neal