Collection of python powered image-processing functions
Project description
Pyxelpefect: Bioinformatic image-processing in pure Python
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:
pip install pyxelperfect
For tensorflow powered functionality (e.g.: Stardist and cellpose segmentation) install additional requirements:
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:
@misc{wouters,
title={Sifrimlab/pyxelperfect: Collection of image-processing tools for bioinformatic applications},
url={https://github.com/sifrimlab/pyxelperfect},
journal={GitHub},
author={Wouters, David}}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pyxelperfect-0.1.9-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 72bb2479cf05454bd3b4ca5b63c6d3c810db21ab66e29a77e0bd9beaa0f91c1f |
|
MD5 | 389a0ea8d4a70c915019e521e7656028 |
|
BLAKE2b-256 | 9c8ab39da2ea89ffac76b4ea11225ead10257e81897d3cd8823ba62be5d4949c |