Visualize Point Clouds (with bbox) by Plotly

Installation

This code mostly depends on Plotly which can be easily installed.

pip install visual_pts

⭐️ NOTE: The latest version now is visual_pts==1.5.0

🔥Update

• Refine Base Class Visual, now supports different colors in different categories.

• Refine Kitti Class, now supports different colors in different categories both in points clouds, 2D and 3D bboxes in images.

• NuScenes will be supported soon~

Getting Started

• Implement of base class Visual which can visualize standard data.
• Implement of KITTY dataset.
• Other dataset will be update in the future. Welcome to submit a pull request.

You can inference Demo to Visualize.

Here is an example (KITTI 000043):

• You can use the Point_IO() to load, save or visualize a ponit cloud, including .xyz, .txt, .asc and .off.

Contribution

JunbinGao, HaoRuan and LianguangLiu.

Welcome to be a member of the visual_pts development team by contributing to this repo, and feel free to contact us for any potential contributions.