https://github.com/mathworks-robotics/perception-for-manufacturing-objects

Starter code for detecting manufacturing objects
https://github.com/mathworks-robotics/perception-for-manufacturing-objects

computer-vision icra perception

Last synced: 7 months ago
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Starter code for detecting manufacturing objects

• Host: GitHub
• URL: https://github.com/mathworks-robotics/perception-for-manufacturing-objects
• Owner: mathworks-robotics
• License: bsd-3-clause
• Created: 2024-02-13T18:44:21.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-13T20:23:40.000Z (over 1 year ago)
• Last Synced: 2025-01-19T22:16:29.772Z (9 months ago)
• Topics: computer-vision, icra, perception
• Homepage:
• Size: 50.1 MB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: license.txt
  • Security: SECURITY.md

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README

          
# Perception Template for Manufacturing Objects

[![View Deep Learning For Object Detection on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/159618-perception-template-for-manufacturing-objects) 

[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=mathworks-robotics/perception-for-manufacturing-objects)

This repository contains code to get started with perception for the [ICRA Robot Grasping and Manipulation Challenge (RGMC)](https://www.cse.usf.edu/~yusun/rgmc/2024.html), specifically the manufacturing track. The dataset used is the [NIST dataset](https://www.robot-manipulation.org/nist-moad) and the software used is MATLAB®️ 2023b.

![image labeler app](labeler-app.png)

## Getting started

To get started, clone this repository and download the 'nist_atb1_boardfull' dataset from the dataset. Further instructions on how to resolve the path in the image labeller app can be found in the live script.

The code requires the following:

- [Computer Vision Toolbox™](https://www.mathworks.com/products/computer-vision.html)

- [Deep Learning Toolbox™](https://www.mathworks.com/products/deep-learning.html)

- [YOLOv4 Object Detection](https://www.mathworks.com/matlabcentral/fileexchange/107969-computer-vision-toolbox-model-for-yolo-v4-object-detection)

For questions or clarifications on the code, please contact roboticsarena@mathworks.com

## License

The license is available in the [license.txt](license.txt) file in this GitHub repository.

## Community Support

[MATLAB Central](https://www.mathworks.com/matlabcentral/)

Copyright 2024 The MathWorks, Inc.