What is the best object detection that is able to run on Raspberry PI 2?
I checked tiny Yolo which requires less resources but it is much less accurate than the regular Yolo.
Looking for the best accuracy with the least CPU/RAM requirements.
Mainly needs this to tell if an image contain a person (still images from a network camera, which publishes an image upon motion detecion).
It would seem that it depends on the architecture you will be using. Whether is a ARM, GPU, mobile GPU processor, etc. This is comment from the author of YOLOv4 mentions that NanoDet is more suitable for ARM-CPU's
https://twitter.com/alexeyab84/status/1436377831974506496
