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Abhishek Shankar
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Starter code for ICRA RGMC
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README.md

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# Perception Template for Manufacturing Objects
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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.
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![image labeler app](labeler-app.png)
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## Getting started
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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.
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The code requires the following:
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- [Computer Vision Toolbox™](https://www.mathworks.com/products/computer-vision.html)
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- [Deep Learning Toolbox™](https://www.mathworks.com/products/deep-learning.html)
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- [YOLOv4 Object Detection](https://www.mathworks.com/matlabcentral/fileexchange/107969-computer-vision-toolbox-model-for-yolo-v4-object-detection)
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For questions or clarifications on the code, please contact roboticsarena@mathworks.com
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## License
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The license is available in the [license.txt](license.txt) file in this GitHub repository.
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## Community Support
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[MATLAB Central](https://www.mathworks.com/matlabcentral/)
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Copyright 2024 The MathWorks, Inc.

SECURITY.md

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# Reporting Security Vulnerabilities
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If you believe you have discovered a security vulnerability, please report it to
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[security@mathworks.com](mailto:security@mathworks.com). Please see
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[MathWorks Vulnerability Disclosure Policy for Security Researchers](https://www.mathworks.com/company/aboutus/policies_statements/vulnerability-disclosure-policy.html)
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for additional information.
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board_labels/board_labels.prj

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<?xml version="1.0" encoding="UTF-8"?>
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<MATLABProject xmlns="http://www.mathworks.com/MATLABProjectFile" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="1.0"/>
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<?xml version='1.0' encoding='UTF-8'?>
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<Info Name="Test" ReadOnly="READ_ONLY"/>

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