I have questions…
What frame rate can be achieved on Raspberry Pi 3 with Object Detection Model (FOMO)?
it works slowly for me and the frame is delayed by 1-2 seconds at a picture size of 96X96 RGB
Edge Impulse Studio predicts me
for float — 3 ms
for int8 – 108 ms
(does the model with float mean 36 times faster?
is it because of the FPU?)
and the model at work gives (Found bounding boxes [30 ms])
how to calculate frequency?
what to insert instead of Inference time
How can I increase the frequency without changing the size of the picture?