httomolib 4.0

Commonly used tomography data processing methods at DLS.

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

Purpose of HTTomolib

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.

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