Metadata-Version: 2.4
Name: mipcandy
Version: 1.0.2b0
Summary: A Candy for Medical Image Processing
Project-URL: Homepage, https://mipcandy.projectneura.org
Project-URL: Documentation, https://mipcandy-docs.projectneura.org
Project-URL: Repository, https://github.com/ProjectNeura/MIPCandy
Author-email: Project Neura <central@projectneura.org>
License-Expression: Apache-2.0
License-File: LICENSE
Requires-Python: >=3.12
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: ptflops
Requires-Dist: requests
Requires-Dist: rich
Requires-Dist: simpleitk
Requires-Dist: torch
Provides-Extra: all
Requires-Dist: mipcandy-bundles; extra == 'all'
Requires-Dist: pyvista; extra == 'all'
Provides-Extra: standard
Requires-Dist: pyvista; extra == 'standard'
Description-Content-Type: text/markdown

# MIP Candy: A Candy for Medical Image Processing

![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/ProjectNeura/MIPCandy)
![PyPI](https://img.shields.io/pypi/v/mipcandy)
![GitHub Release](https://img.shields.io/github/v/release/ProjectNeura/MIPCandy)
![GitHub Release Date - Published_At](https://img.shields.io/github/release-date/ProjectNeura/MIPCandy)

MIP Candy is Project Neura's next-generation infrastructure framework for medical image processing. It integrates a
handful number of common network architectures with their corresponding training, inference, and evaluation pipelines
that are out-of-the-box ready to use. Additionally, it also provides adapters to popular frontend dashboards such as
Notion, WandB, and TensorBoard.

:link: [Home](https://mipcandy.projectneura.org)

:link: [Docs](https://mipcandy-docs.projectneura.org)

## Installation

Note that MIP Candy requires **Python >= 3.12**.

```shell
pip install "mipcandy[standard]"
```