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}
}