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-0.2.5.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-0.2.5.tar.gz.
File metadata
- Download URL: pc_metrics-0.2.5.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 |
7012c562f3c26de79db769f793b1e92ddf2adc12a91008fe957753638e83efaf
|
|
| MD5 |
cff4f2b0760377628084d7928e44e936
|
|
| BLAKE2b-256 |
835bfd1bdbf26a8cc59a33f24e0ade7b69f66356611f6934fa4ad2654ccd24cd
|
File details
Details for the file pc_metrics-0.2.5-py3-none-any.whl.
File metadata
- Download URL: pc_metrics-0.2.5-py3-none-any.whl
- Upload date:
- Size: 6.5 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 |
324ad13ca3443f9ca66bed5bc4f3e7329a2ca2899803079e0afc882ae9d5cc10
|
|
| MD5 |
d9fe12c6f93f7a001b764f6f41cd4f0b
|
|
| BLAKE2b-256 |
46d76f2cdf30b69214bffcfebd142857d416d3cf04dddeb9e79e7edc6841133c
|