https://github.com/roym899/pose_and_shape_evaluation

Toolbox to evaluate categorical pose and shape estimation methods
https://github.com/roym899/pose_and_shape_evaluation

3d deep-learning object-pose-estimation pose pose-estimation reconstruction shape

Last synced: 3 months ago
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Toolbox to evaluate categorical pose and shape estimation methods

• Host: GitHub
• URL: https://github.com/roym899/pose_and_shape_evaluation
• Owner: roym899
• License: mit
• Created: 2022-02-12T10:00:07.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-02-23T17:26:33.000Z (12 months ago)
• Last Synced: 2024-05-22T00:07:28.932Z (9 months ago)
• Topics: 3d, deep-learning, object-pose-estimation, pose, pose-estimation, reconstruction, shape
• Language: Python
• Homepage: https://roym899.github.io/pose_and_shape_evaluation/
• Size: 44.3 MB
• Stars: 28
• Watchers: 2
• Forks: 2
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Categorical Pose and Shape Evaluation Toolbox

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CPAS Toolbox is a package for evaluation of categorical pose and shape estimation methods. It contains metrics, datasets and methods.

Visit the [documentation](https://roym899.github.io/pose_and_shape_evaluation/) for detailed usage instructions and API reference.

## Installation

```bash

pip install cpas_toolbox

```

## Citation

If you find this library useful in your research, consider citing [our conference paper](https://link.springer.com/chapter/10.1007/978-3-031-22216-0_25) or the [extended journal version](https://www.sciencedirect.com/science/article/pii/S092188902300146X):

```

@inproceedings{bruns2023evaluation,

  title={On the evaluation of RGB-D-based categorical pose and shape estimation},

  author={Bruns, Leonard and Jensfelt, Patric},

  booktitle={Intelligent Autonomous Systems 17: Proceedings of the 17th International Conference IAS-17},

  pages={360--377},

  year={2023},

  organization={Springer}

}

@article{bruns2023rgb,

  title={RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation},

  author={Bruns, Leonard and Jensfelt, Patric},

  journal={Robotics and Autonomous Systems 168},

  year={2023}

}

```

## Development

- Use `pip install -e .` to install the package in editable mode

- Use `pip install -r requirements-dev.txt` to install dev tools

- Use `pytest -rf --cov=cpas_toolbox --cov-report term-missing tests/` to run tests and check code coverage