Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

fredtools

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

fredtools

FRED tools is a collection of python functions for image manipulation and analysis. See more on https://github.com/jasqs/FREDtools.

  • 0.7.22
  • PyPI
  • Socket score

Maintainers
1

FRED tools repository

FRED tools is a collection of python functions for image manipulation and analysis. The basic methods have been developed for analysis of the images produced by the Monte Carlo FRED (www.fred-mc.org) in MetaImage format (*.mha, *.mhd), but they can be applied for images in other formats, e.g. dicom.

Basic Concept

The image in the FRED tools is understood to mean scalar or vector image of any dimension from 2D to 5D. All the images read or processed by the functions are SimpleITK images, and any SinmpleITK routines can be applied. Check SimpleITK filters for available methods of filtering, registration, etc. Because the smallest image dimension supported by SimpleITK is 2D, line profiles, i.e. 1D images are saved as SimpleITK images with the size with only one of the dimension different than one.

Most of the functions have a bool argument displayInfo (default displayInfo=False) which can be used for displaying summary of the function results.

Documentation and tutorial

The documentation of the functions implemented in FRED tools is available at fredtools.ifj.edu.pl or on the GitHub repository.

A simple tutorial has been prepared to help with starting using FRED tools.

Installation

The stable version of FRED tools is available via pip.

For new installation:

$ pip install fredtools

To update existing installation:

$ pip install --upgrade fredtools

The development version is available on GitHub.

$ git clone jasqs/FREDtools

Development

Everyone is invited to support the development of the FRED tools and to add functionalities needed for a specific application. All the new functions or classes should be documented according to numpydoc style. Check numpydoc website for the style guide and examples.

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc