4 ms·
If you look for "tensorflow raspberry" on a search engine, you will find several pointers about running TF on cheaper hardware. You would probably get about 1 f
by antpls 8y ago
If you look for "tensorflow raspberry" on a search engine, you will find several pointers about running TF on cheaper hardware. You would probably get about 1 frame per second with it.
You may also look at recent SnapDragon-powered dev boards, which have TF core accelerators, and provide a serious boost of FPS for less than $700.
Also, using a cloud ML service is an option if you have only a few inferences/day to process