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 <https://diamondlightsource.github.io/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 <https://github.com/DiamondLightSource/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 <https://diamondlightsource.github.io/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

.. code-block:: console

$ pip install httomolib

Install HTTomolib as a pre-built conda Python package

.. code-block:: console

$ 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:

.. code-block:: console

$ 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

.. code-block:: console

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