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.

Install HTTomolib as a PyPi package#

$ pip install httomolib

Install HTTomolib as a pre-built conda Python package#

$ conda create --name httomolib # create a fresh conda environment
$ conda activate httomolib # activate the environment
$ conda install -c httomo httomolib -c conda-forge

Setup the development environment:#

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

Build HTTomolib as a conda Python package#

$ conda build conda/recipe/ -c conda-forge -c httomo

Introduction

Reference guides