/Object-Detection-with-Raspberrypi

Object Detection with YOLOv3 and PiCamera in Raspberrypi

Primary LanguagePython

Object Detection with Raspberrypi

Purpose

Object Detection with YOLOv3 and PiCamera in Raspberrypi

Implementation in detail

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.

How to detect object with PiCamera

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

Credit

YOLOv3: An Incremental Improvement

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}
}