andre1araujo / YOLO-on-PYNQ-Z2

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.

Date Created 2023-12-15 (about a year ago)

Commits 41 (last one about a month ago)

Stargazers 35 (0 this week)

Watchers 1 (0 this week)

Forks 8

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these andre1araujo/YOLO-on-PYNQ-Z2 is ranked #546,104 (8th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as C++, for repositories using this language it is ranked #29,721/31,836.

andre1araujo/YOLO-on-PYNQ-Z2 is also tagged with popular topics, for these it's ranked: deep-learning (#8,065/8512), deep-neural-networks (#613/634), fpga (#463/488)

Other Information

andre1araujo/YOLO-on-PYNQ-Z2 has Github issues enabled, there is 1 open issue and 16 closed issues.

Homepage URL: https://andre-araujo.gitbook.io/yolo-on-pynq-z2/

All Topics

fpga yolov3 pynq-z2 yolov3-tiny deep-learning deep-neural-networks

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41 commits on the default branch (main) since jan '22

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The primary language is C++ but there's also others...

updated: 2024-11-29 @ 10:59pm, id: 732128811 / R_kgDOK6NmKw