Point Cloud Evaluation Metrics
Project description
Point Cloud Evaluation Metrics
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
pip install pc_metrics
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pc_metrics-0.2.2.tar.gz
(5.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pc_metrics-0.2.2.tar.gz.
File metadata
- Download URL: pc_metrics-0.2.2.tar.gz
- Upload date:
- Size: 5.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29ab8a45ab66d73ab240b4ff3020b211bd41f1437f02f9efd7eead79f1a23c71
|
|
| MD5 |
8c1f068a62b6bd41e1d0f0d93d9ef360
|
|
| BLAKE2b-256 |
ee752dc79b9e32b8be6569142a3176472ba9e269f2e5cf19291f1fc01185ca22
|
File details
Details for the file pc_metrics-0.2.2-py3-none-any.whl.
File metadata
- Download URL: pc_metrics-0.2.2-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
344913ea78f8b62c7a55769bb2868577d11265c6684dcc10cc3da282bd0359fe
|
|
| MD5 |
2089569ecd61dcaa9ef1f5a41956d9d8
|
|
| BLAKE2b-256 |
157df53365f7a7b2178ef07f461c74e873c6850bbbfb715cd4eeb367d59b26fb
|