rbagaric/CIL-Demos

CIL on binder

Run the notebooks on Binder

In order to open and run the notebooks interactively in an executable environment, please click the Binder link above.

Note: In the Binder interface, there is no GPU available.

Run the notebooks locally

Alternatively, you can create a Conda environment using the environment.yml in the binder directory:

conda env create -f environment.yml

Note: Depending on your nvidia-drivers, you can modify the cudatoolkit parameter. See here for more information. For this environment cudatoolkit=9.2 is used.

Note: For the Tomography reconstruction demo, you can change device=cpu to device=gpu, to speed up the reconstructions.

Advanced demos

For more advanced general imaging and tomography demos, please visit the following repositories:

• Core Imaging Library part I: a versatile python framework for tomographic imaging

• Core Imaging Library part II: multichannel reconstruction for dynamic and spectral tomography.