Run Object Detection using Deep Learning on Raspberry Pi 3 (1)

This post is the first one of the series. The goal is to share our experience about how to leverage open-source resources to enable deep learning for objection detection on RPi3. As for the first one of the series, the post will talk about why running object detection on RPi3 is difficult. First, deep learning (or to be more specific, CNN) on Raspberry Pi is nothing new. Pete Warden had released DeepBelief SDK for image recognition in 2014 [1], and SqueezeNet [2] was another alternative released in 2015 which aimed to bring lighter solution for embedded systems.