Object Detection with YOLOv3 and PiCamera in Raspberrypi
There are several object detection models such as Faster R-CNN, FPN, and etc.
Among these, I've selected YOLOv3 as baseline model because what I desired in this project was detection with real-time speed in the inference stage.
In case of detection model, I used Pytorch Implemention of YOLOv3 from [here].
The main work in this repository is detecting the object through PiCamera connected to Raspberrypi.
Pre-requisite
- Raspberry Pi 4B
- PiCamera
For those who are not familiar with using Raspberry Pi and PiCamera, check the additional material.
- Code Example
python PiCamera.py
Joseph Redmon, Ali Farhadi
[Paper] [Project Webpage] [Authors' Implementation]
@article{yolov3,
title={YOLOv3: An Incremental Improvement},
author={Redmon, Joseph and Farhadi, Ali},
journal = {arXiv},
year={2018}
}