Skip to main content

a phenotyping pipeline for python

Project description

Phenopype: a phenotyping pipeline for Python

Author: Moritz Lürig
License: LGPL

Project status Windows build Linux build OSX build Coverage Style
Project Status: Active – The project has reached a stable, usable state and is being actively developed. Build status Build Status none Coverage Status Code style

Phenopype is a high throughput phenotyping pipeline for Python to support biologists in extracting high dimensional phenotypic data from digital images. The program provides intuitive, high level computer vision functions for image preprocessing, segmentation, and feature extraction. Users can assemble their own function-stacks that can be stored in the human-readable yaml-format along with raw data and results, facilitating high throughput and full data reproducibility. Phenopype can be run from Python or from a Python Integrated Development Environment (IDE), like Spyder. Phenopype is designed to provide robust image analysis workflows that can be implemented with little or no Python experience.

Getting started

  1. Install Phenopype - via the Python Package Index (PYPI): pip install phenopype
  2. Run the Tutorials - Tutorial 1 is for Python beginners, otherwise Tutorial 2 is a good starting point
  3. Check the Examples - Example 1 delineates a typical computer vision workflow

Documentation

Full documentation can be found here: https://mluerig.github.io/phenopype/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

phenopype-1.0.7-py3-none-any.whl (67.9 kB view details)

Uploaded Python 3

File details

Details for the file phenopype-1.0.7-py3-none-any.whl.

File metadata

  • Download URL: phenopype-1.0.7-py3-none-any.whl
  • Upload date:
  • Size: 67.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for phenopype-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 51089532840b17386ee4475940abfa0937ba32078b41533fae032dd6d3404372
MD5 d344c287b009e3bfedc93052499ae962
BLAKE2b-256 e8b268412f70a080b9846f3413bd97f0d3a012e19604961febd4ac273181713c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page