Perception Template for Manufacturing Objects
This repository contains code to get started with perception for manufacturing objects using the NIST MOAD dataset
https://github.com/mathworks-robotics/perception-for-manufacturing-objects
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Perception Template for Manufacturing Objects
This repository contains code to get started with perception for the ICRA Robot Grasping and Manipulation Challenge (RGMC), specifically the manufacturing track. The dataset used is the NIST dataset and the software used is MATLAB®️ 2023b.
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:
For questions or clarifications on the code, please contact roboticsarena@mathworks.com
License
The license is available in the license.txt file in this GitHub repository.
Community Support
Copyright 2024 The MathWorks, Inc.
Cita come
MathWorks Student Competitions Team (2026). Perception Template for Manufacturing Objects (https://github.com/mathworks-robotics/perception-for-manufacturing-objects), GitHub. Recuperato .
Riconoscimenti
Ispirato da: Computer Vision Toolbox Model for YOLO v4 Object Detection
Informazioni generali
Compatibilità della release di MATLAB
- Compatibile con R2023b e release successive
Compatibilità della piattaforma
- Windows
- macOS
- Linux
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 23.2.1 |
