GitHub - ms337/yolo-v3-raspberry-pi: Object detection with YOLOv3 Neural Networks on a Raspberry Pi. Implementation in C++.
![Implementation of a Low-Cost Real-Time People Counting System on Raspberry Pi Based on Applied Tiny YOLO V3 | Engineering Transactions: A Research Publication of Mahanakorn University of Technology Implementation of a Low-Cost Real-Time People Counting System on Raspberry Pi Based on Applied Tiny YOLO V3 | Engineering Transactions: A Research Publication of Mahanakorn University of Technology](https://ph02.tci-thaijo.org/public/journals/812/cover_issue_16685_en_US.jpg)
Implementation of a Low-Cost Real-Time People Counting System on Raspberry Pi Based on Applied Tiny YOLO V3 | Engineering Transactions: A Research Publication of Mahanakorn University of Technology
![Performance Comparison of Yolo-Lite and YoloV3 Using Raspberry Pi and MotionEyeOS | Semantic Scholar Performance Comparison of Yolo-Lite and YoloV3 Using Raspberry Pi and MotionEyeOS | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/9fc4cb377731c1aa9626d117859fa0acf79fa3f7/4-Figure4-1.png)