visual_pts 1.5.0

Visualize Point Clouds (with bbox) by Plotly

# Visualize Point Clouds (with bbox) by Plotly

## Installation

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

`shell 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):

<img src=”docs/000043_img2D.png” style=”zoom:75%;” />

<img src=”docs/000043_img3D.png” style=”zoom:75%;” />

<img src=”docs/000043_pc3D.png” style=”zoom:55%;” />

• 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.