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-0.2.4.tar.gz
(5.7 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-0.2.4.tar.gz.
File metadata
- Download URL: pc_metrics-0.2.4.tar.gz
- Upload date:
- Size: 5.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9aa8c609d2ceea13376ddc2bf81e1de779dc591d5395cc665e17bfa466afe208
|
|
| MD5 |
df8f8ed710f968c68fe742ac303cd14d
|
|
| BLAKE2b-256 |
c8be3ecd596fdf244912b1fd9bfd163108d8385f1c1aba015f7ea72f812529d6
|
File details
Details for the file pc_metrics-0.2.4-py3-none-any.whl.
File metadata
- Download URL: pc_metrics-0.2.4-py3-none-any.whl
- Upload date:
- Size: 6.4 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 |
c1acc8b9ca20d216b6cabaa74df2136ed8322216207ac3b5bdbce6e82a78badb
|
|
| MD5 |
c1775d4f839518afa20e9e49467a03a6
|
|
| BLAKE2b-256 |
108278b826df52b6f5461418010c29b1d33e3ab6ae7d7202fb92b611839edcf6
|