# andre1araujo/YOLO-on-PYNQ-Z2

<https://repo.masters-masters.com/en/repos/andre1araujo/YOLO-on-PYNQ-Z2>

[Home](https://repo.masters-masters.com/en) › [andre1araujo](https://repo.masters-masters.com/en/owners/andre1araujo) › [YOLO-on-PYNQ-Z2](https://repo.masters-masters.com/en/repos/andre1araujo/YOLO-on-PYNQ-Z2)

andre1araujo/YOLO-on-PYNQ-Z2 has 123 stars on GitHub. Its RepoMasters card: Prototype tier. This repository contains all the necessary material to implement a…

| Field | Value |
| --- | --- |
| Owner | [andre1araujo](https://repo.masters-masters.com/en/owners/andre1araujo) |
| Stars | 123 |
| Forks | 12 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | deep-learning, deep-neural-networks, fpga, pynq-z2, yolov3, yolov3-tiny |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [andre1araujo/YOLO-on-PYNQ-Z2](https://github.com/andre1araujo/YOLO-on-PYNQ-Z2) |

## Repository

This repository contains all the necessary material to implement a YOLOv3 object detection algorithm on the PYNQ-Z2 FPGA. There is a step-by-step tutorial associated so everyone can do it.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.