HTTomolib is a library of methods for tomography#

HTTomolib is a collection of CPU-only image processing methods in Python for computed tomography.

HTTomolib can be used as a stand-alone library, however, it has been specifically developed to work together with the HTTomo package. HTTomo is a user interface (UI) written in Python for fast big data processing using MPI protocols. HTTomolib methods for processing using GPU are accessible in the dedicated HTTomolibGPU repository.

Purpose of HTTomolib#

HTTomolib can be used as a stand-alone library, but it has been specifically developed to work together with the HTTomo package. HTTomo is a user interface (UI) written in Python for fast big data processing using MPI protocols.

Installation#

HTTomolib is available on PyPI, so it can be installed into either a virtual environment or a conda environment.

Virtual environment#

$ python -m venv httomolib
$ source httomolib/bin/activate
$ pip install httomolib

Conda environment#

$ conda create --name httomolib # create a fresh conda environment
$ conda activate httomolib # activate the environment
$ pip install httomolib

Setup the development environment:#

$ git clone git@github.com:DiamondLightSource/httomolib.git # clone the repo
$ conda create --name httomolib # create a fresh conda environment
$ conda activate httomolib # activate the environment
$ pip install ./httomolib[dev] # development mode

Introduction

Reference guides