https://github.com/Shua-Kang/ros_pytorch_yolov5

https://github.com/Shua-Kang/ros_pytorch_yolov5

Last synced: 12 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/Shua-Kang/ros_pytorch_yolov5
• Owner: Shua-Kang
• Created: 2021-04-06T09:47:04.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2022-06-20T15:27:51.000Z (about 2 years ago)
• Last Synced: 2024-02-29T05:37:49.787Z (4 months ago)
• Language: Python
• Size: 39.3 MB
• Stars: 24
• Watchers: 2
• Forks: 8
• Open Issues: 7
• Metadata Files:
  • Readme: README.md

Lists

• awesome-yolo-object-detection - Shua-Kang/ros_pytorch_yolov5 - Kang/ros_pytorch_yolov5?style=social"/> : A ROS wrapper for yolov5. (master branch is v5.0 of yolov5; for v6.1, see branch v6.1). (Other Versions of YOLO)

README

        
# Ros_pytorch_yolov5

A ROS wrapper for [yolov5](https://github.com/ultralytics/yolov5). (master branch is v5.0 of yolov5; for v6.1, see branch [v6.1](https://github.com/Shua-Kang/ros_pytorch_yolov5/tree/v6.1))

I have tested this repo at intel cpu and single Nvidia-GPU. Since it is just a roughly merge of [yolov3_pytorch_ros](https://github.com/vvasilo/yolov3_pytorch_ros) and [yolov5](https://github.com/ultralytics/yolov5), many useless code stays. If you have any questions, feel free to create an issue.

## Requirements

ROS Noetic(Recommanded) or Melodic 

## Running

Tracking the detection using opencv. (Rviz may be better)

![view_img](./view_img.jpg)

# Quick Start

see [How_to_build_and_run](./How_to_build_and_run.md) for more details.

# Reference

[yolov3_pytorch_ros](https://github.com/vvasilo/yolov3_pytorch_ros)

[yolov5](https://github.com/ultralytics/yolov5)