Skip to main content

PySceneKit is an open-source Python library designed for common 2D and 3D scene processing and visualization tasks.

Project description

PySceneKit

PySceneKit is an open-source Python library designed for common scene processing and visualization tasks. Whether you're working with 2D or 3D scenes, PySceneKit provides a comprehensive toolkit to help you manipulate, analyze, and visualize your data with ease.

Introduction

Welcome to PySceneKit! This project is fueled by my passion for scene understanding, particularly in indoor environments. Frustrated by the lack of user-friendly tools for processing images and 3D indoor scenes, I often found myself rewriting code for different datasets.

PySceneKit aims to simplify scene understanding by providing an intuitive toolkit that incorporates both state-of-the-art techniques and classic methods tailored for indoor scenes. I warmly welcome contributions from fellow enthusiasts and researchers to help make this project a valuable resource for everyone!

Installation

conda create -n pyscenekit python=3.10 -y
conda activate pyscenekit
pip install -r requirements.txt
pip install -e . # will support pip install pyscenekit in the future

Usage

SceneKit2D is a module within PySceneKit that focuses on 2D scene processing and analysis. It provides a set of tools and algorithms for working with 2D images, particularly in the context of indoor scenes. Checkout the key features in SceneKit2D.

SceneKit3D is a module focusing on 3D scene processing and analysis. Checkout the key features in SceneKit3D.

Progress

  • 🌟 Kicking Off the Adventure: Initial setup complete!
  • 💡 Bringing Ideas to Life: Core functionalities in the works.
  • 🎨 Crafting Beautiful Scenes: Building basic scene processing features.
  • 🔍 Visual Wonderland: Adding stunning visualization tools.
  • 📚 Sharing the Love: Writing documentation and creating examples.
  • 🔧 Polishing the Gem: Testing and optimizing for the best performance.
  • 🚀 Launch Countdown: Preparing for the exciting release of v1.0!

Acknowledgments

PySceneKit would not be possible without the incredible work of various open-source projects and libraries that have paved the way for scene processing and visualization. For a detailed list of acknowledgments, please see the ACKNOWLEDGMENTS.md file.

Citation

If you find PySceneKit useful in your research, please consider citing the project:

@misc{mao2024pyscenekit,
    title={PySceneKit GitHub Repository},
    author={Mao, Yongsen},
    year={2024}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyscenekit-0.0.1.tar.gz (24.5 kB view details)

Uploaded Source

Built Distribution

pyscenekit-0.0.1-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file pyscenekit-0.0.1.tar.gz.

File metadata

  • Download URL: pyscenekit-0.0.1.tar.gz
  • Upload date:
  • Size: 24.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for pyscenekit-0.0.1.tar.gz
Algorithm Hash digest
SHA256 94a47c83b89b674c96787146dd964a6ad38a48539e41c7fdbc0fd96d04ea0bf0
MD5 df4aa1467c8575181003dbf9fbdc133d
BLAKE2b-256 d73e939c1a3f1359038ca709b7adb82c2b1cb577c8c175206ebe0f24c891c206

See more details on using hashes here.

File details

Details for the file pyscenekit-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: pyscenekit-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 33.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for pyscenekit-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 33f92926ecc3b7f79a98f9adfc66a336b0ed6b31757be1768cf91635390f39c9
MD5 40a35b33175c4cb409a8197e85d6ee54
BLAKE2b-256 2273ca4ce5df67edaea94cc9fbe152d4669dee06da7b1c66f424ba3e0e37b9be

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page