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.
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-matlabAfter 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 repoAdditionally, 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.
To launch the 3D scene reconstruction process, simply run the buildscene command within your MATLAB environment:
buildscene % Start the 3D reconstruction processThis 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.
Ultralytics thrives on community collaboration, and we deeply value your contributions! Whether it's reporting bugs, suggesting features, or submitting code changes, your involvement is crucial.
- Reporting Issues: Encounter a bug? Please report it on GitHub Issues.
- Feature Requests: Have an idea for improvement? Share it via GitHub Issues.
- Pull Requests: Want to contribute code? Please read our Contributing Guide first, then submit a Pull Request.
- Feedback: Share your thoughts and experiences by participating in our official Survey.
A heartfelt thank you 🙏 goes out to all our contributors! Your efforts help make Ultralytics tools better for everyone.
Ultralytics offers two licensing options to accommodate diverse needs:
- AGPL-3.0 License: Ideal for students, researchers, and enthusiasts passionate about open collaboration and knowledge sharing. This OSI-approved open-source license promotes transparency and community involvement. See the LICENSE file for details.
- Enterprise License: Designed for commercial applications, this license permits the seamless integration of Ultralytics software and AI models into commercial products and services, bypassing the copyleft requirements of AGPL-3.0. For commercial use cases, please inquire about an Ultralytics Enterprise License.
For bug reports or feature suggestions, please use GitHub Issues. For general questions, discussions, and community support, join our Discord server!
