Metadata-Version: 2.4
Name: pc_metrics
Version: 0.2.5
Summary: Point Cloud Evaluation Metrics
Home-page: https://github.com/URRealHero/point_cloud_metrics
Author: Shu Pu
Author-email: pushuabc@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.20
Requires-Dist: scipy>=1.7
Requires-Dist: scikit-learn>=1.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
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# Point Cloud Evaluation Metrics

[![PyPI version](https://img.shields.io/pypi/v/pc_metrics.svg)](https://pypi.org/project/pc_metrics/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

A Python package implementing essential metrics for evaluating point cloud generation quality.

## Features

- ​**CD**: Chamfer Distance between point clouds
- ​**EMD**: Earth Mover's Distance (Optimal Transport)
- ​**JSD**: Jensen-Shannon Divergence (Voxel-based distribution similarity)
- ​**MMD**: Minimum Matching Distance between sets
- ​**Coverage**: Distribution coverage metric

## Installation

```bash
pip install pc_metrics
```
