# 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.
1 maintainer
Metadata
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Release files for visual_pts 1.5.0
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