Metadata-Version: 2.1
Name: pyxelperfect
Version: 0.1.7
Summary: Collection of python powered image-processing functions
Home-page: https://github.com/sifrimlab/pyxelperfect
Author: LMIB
Author-email: david.wouters@kuleuven.be
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/sifrimlab/pyxelperfect
Project-URL: Source, https://github.com/sifrimlab/pyxelperfect
Keywords: image-processing
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: tensor
License-File: LICENSE

# Pyxelpefect: Bioinformatic image-processing in pure Python
[![pypi package](https://img.shields.io/pypi/v/pyxelperfect.svg)](https://pypi.python.org/project/pyxelperfect/)
[![python](https://img.shields.io/pypi/pyversions/pyxelperfect.svg)](https://pypi.python.org/project/pyxelperfect/)

*Github:* <http://github.com/sifrimlab/pyxelperfect> 

*Author*: david.wouters@kuleuven.be
## Description
This repository represents a collection of useful functions that are used in all bioinformatic image processing performed by the sifrimlab. It's divided into different modules each with their own theme, and each modules hosts several standalone functions that can be useful in any application.


## Setup/Installation

This python package is available from pypi:

```python
pip install pyxelperfect
```
For tensorflow powered functionality (e.g.: Stardist and cellpose segmentation) install additional requirements:

```python
pip install pyxelperfect[tensor]
```

## Documentation
**Under construction**

## Citation
If you use this repository or any of its modules for your analysis, please cite this github:
```bibtex
 @misc{wouters,
 title={Sifrimlab/pyxelperfect: Collection of image-processing tools for bioinformatic applications},
 url={https://github.com/sifrimlab/pyxelperfect},
 journal={GitHub},
 author={Wouters, David}} 
```




