Categorical Pose and Shape Evaluation Toolbox
CPAS Toolbox is a package for evaluation of categorical pose and shape estimation methods. It contains metrics, datasets and methods. Visit the documentation for detailed usage instructions and API reference.
Installation
pip install cpas_toolbox
Citation
If you find this library useful in your research, consider citing our publication:
@article{bruns2022evaluation,
title={On the Evaluation of {RGB-D}-based Categorical Pose and Shape Estimation},
author={Bruns, Leonard and Jensfelt, Patric},
journal={arXiv preprint arXiv:2202.10346},
year={2022}
}
Development
- Use
pip install -e .to install the package in editable mode - Use
pip install -r requirements-dev.txtto install dev tools - Use
pytest -rf --cov=cpas_toolbox --cov-report term-missing tests/to run tests and check code coverage
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cpas_toolbox-1.0.0.tar.gz
(275.3 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
cpas_toolbox-1.0.0-py3-none-any.whl
(374.7 kB
view details)
File details
Details for the file cpas_toolbox-1.0.0.tar.gz.
File metadata
- Download URL: cpas_toolbox-1.0.0.tar.gz
- Upload date:
- Size: 275.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.1 CPython/3.11.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e5a4bab1936f8fb762b442d037f62a2e3494f5652e8277fd5eab4da74b2a095d
|
|
| MD5 |
7de57455b04fe3803a922707ad05ea98
|
|
| BLAKE2b-256 |
27e5b0829683050eccdbb681aa9c9647f76e228a284bae03d7d65f995b9417c8
|
File details
Details for the file cpas_toolbox-1.0.0-py3-none-any.whl.
File metadata
- Download URL: cpas_toolbox-1.0.0-py3-none-any.whl
- Upload date:
- Size: 374.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.1 CPython/3.11.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1ff916d2119b8f44105e3f713d33153ceafc7a7f53b23f6b4a4cf7a31c5e1e80
|
|
| MD5 |
d6815d601c9459caf0817166dcc0c971
|
|
| BLAKE2b-256 |
8a6f9710048771e2ca6288caa4f767bd70a020e8bfa18bded2a68e5300f616a1
|