Metadata-Version: 2.3
Name: dbini-torch
Version: 1.0.0
Summary: PyTorch optimized bilateral normal integration
Author-email: Sam Pepose <sampepose@gmail.com>
Requires-Python: >=3.10.1
Description-Content-Type: text/markdown
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: torch
Requires-Dist: flit >=3.2.0,<4.0.0 ; extra == "dev"
Requires-Dist: ruff ; extra == "dev"
Requires-Dist: sphinx >=5.1.1,<9.0.0 ; extra == "doc"
Requires-Dist: sphinx-rtd-theme ; extra == "doc"
Requires-Dist: bandit[toml] ; extra == "test"
Requires-Dist: check-manifest ; extra == "test"
Requires-Dist: pre-commit ; extra == "test"
Requires-Dist: pytest-cov ; extra == "test"
Requires-Dist: pytest-mock ; extra == "test"
Requires-Dist: pytest-runner ; extra == "test"
Requires-Dist: pytest ; extra == "test"
Requires-Dist: pytest-github-actions-annotate-failures ; extra == "test"
Requires-Dist: shellcheck-py ; extra == "test"
Project-URL: Documentation, https://github.com/sampepose/dbini-torch/tree/main#readme
Project-URL: Issues, https://github.com/sampepose/dbini-torch/issues
Project-URL: Source, https://github.com/sampepose/dbini-torch
Provides-Extra: dev
Provides-Extra: doc
Provides-Extra: test

<h1 align="center">dbini-torch</p>

<p align="center">
    <a href="https://badge.fury.io/py/dbini-torch"><img src="https://badge.fury.io/py/dbini-torch.svg" alt="PyPI version" height="18"></a>
    <a href="https://github.com/sampepose/dbini-torch/actions/workflows/pytest.yml"><img src="https://github.com/sampepose/dbini-torch/actions/workflows/pytest.yml/badge.svg" alt="PyTest" height="18"></a>
    <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT" height="18"></a>
</p>

Pytorch version of bilateral normal integration.

Especially optimized for fast CUDA execution.

## Acknowledgements

This project is inspired by the original author's work in [numpy](https://github.com/xucao-42/bilateral_normal_integration)

Project boilerplate borrowed from the great @jonmorton and [haven](https://github.com/jonmorton/haven).
