Wis3D: A web-based 3D visualization tool for 3D computer vision

Online Demo | Installation | Tutorial | Documentation

Wis3D is a web-based 3D visualization tool built for 3D computer vision researchers. You can import 3D bounding box, point clouds, meshes and feature correspondences directly from your python code and view them in your local browser. You can think of it as TensorBoard but with 3D data as the first-class citizen.

Basic Installation

Install from Pre-built whl

pip install https://github.com/zju3dv/Wis3D/releases/download/2.0.0/wis3d-2.0.0-py3-none-any.whl

or Build from source

1. install Node.js
2. run pip install -r requirements.txt
3. build web pages

   cd wis3d/app
   npm install # install dependencies
   npx next build
   npx next export

4. install package

   cd ../..
   python setup.py develop

Web Page

Quick Start

Please reference to examples/test.py. For more usage, see Documentation

Start the Web Server

Start the web service to view the visualization in the browser.

wis3d --vis_dir $path_to_vis_dir --host 0.0.0.0 --port 19090

Open your browser, and enter http://localhost:19090 to see the results.

Authors

• Project lead: Jiaming Sun, Xiaowei Zhou
• Core members: Linghao Chen, Jingmeng Zhang, Hongcheng Zhao, Siyu Zhang
• Past contributors: Zijing Huang

Citation

@article{sun2022onepose,
    title={{OnePose}: One-Shot Object Pose Estimation without {CAD} Models},
    author = {Sun, Jiaming and Wang, Zihao and Zhang, Siyu and He, Xingyi and Zhao, Hongcheng and Zhang, Guofeng and Zhou, Xiaowei},
    journal={CVPR},
    year={2022},
}