Introduction 🌟

Welcome to the Ultralytics Kinect repository! This project showcases advanced 3D scene reconstruction algorithms utilizing data captured by the Microsoft Kinect sensor, a pioneering depth-imaging device. Explore our implementation of cutting-edge techniques in computer vision and see the results in action through example videos on the Ultralytics YouTube channel.

Prerequisites 🛠️

Before starting, ensure you have MATLAB R2018a or newer installed. You'll also need our repository of common MATLAB functions. Clone it using the following command:

git clone https://github.com/ultralytics/functions-matlab

After cloning, add this repository and the common-functions repository to your MATLAB path. Replace /path/to/ with the actual directories where you cloned the repositories:

addpath(genpath('/path/to/kinect')) % Add this repo so data/kinect_single.mat is discoverable
addpath(genpath('/path/to/functions-matlab')) % Add the common functions repo

Additionally, confirm that the following MATLAB toolboxes are installed:

• Statistics and Machine Learning Toolbox
• Signal Processing Toolbox
• Computer Vision Toolbox
• Image Processing Toolbox

For more details on setting up development environments, check out the general Ultralytics documentation.

How to Run 🏃

To launch the 3D scene reconstruction process, simply run the buildscene command within your MATLAB environment:

buildscene % Start the 3D reconstruction process

This script initiates the reconstruction using the provided Kinect data and the implemented algorithms. For a general overview of running Ultralytics projects, see our Quickstart Guide.

Contribute 🤝

Your contributions can significantly enhance this project! We welcome collaboration from the open-source community. To get started, please review our Contributing Guide and consider sharing your feedback through our Survey. Your insights help drive improvements and innovation at Ultralytics. A big thank you to all our contributors!

Licensing Options ⚖️

This software is available under the AGPL-3.0 License, an OSI-approved open-source license emphasizing transparency and collaboration. This license is ideal for students, researchers, and enthusiasts looking to experiment and share their work. You can find the full license details in the LICENSE file.

For commercial use cases requiring integration into proprietary products and services, Ultralytics offers an Enterprise License. This license bypasses the open-source requirements of AGPL-3.0, providing flexibility for commercial deployment. Learn more about our commercial licensing options at Ultralytics Licensing.

Stay Connected! 🌐

Encountered a bug or have a feature request? Please submit it via GitHub Issues. We also invite you to join our vibrant Discord community for discussions, support, and collaboration with fellow developers and the Ultralytics team. Stay updated on the latest in AI and computer vision through the Ultralytics Blog.