Closed mirkow closed 4 years ago
Found now https://github.com/danielgordon10/re3-pytorch, which is supposed to have a smaller model..I'll try it and update with results
Update: The small model in the pytorch variant (only 1.2 fps) is even slower than the big model in the tensorflow variant on the raspberry pi 4.
How did you ran the tracker only demo_batch is working for me
I could just execute it. But this issue is probably not the place to discuss that
I don't think there's many deep learning models you can run on a Raspberry Pi. You could maybe try a MobileNet/Shufflenet backbone. I don't see why they wouldn't work. But adding these is not something I plan on doing.
First, great tracker!
I run it on a raspberry pi 4, but there I only get 2.5 FPS. Is there a way to easily increase the FPS but maybe with less accuracy as a drawback?
Thanks!