Overview¶
tomwer is offering tools to automate acquisition and reconstruction processes for Tomography. It contains:
- a library to access each acquisition process individually
- gui and applications to control main processes (reconstruction, data transfert...) and execute them as a stand alone application.
- an orange add-on to help users defining their own workflow (http://orange.biolab.si)
Be aware that some demo/tutorial
videos are available on https://www.youtube.com/@tomotools
To access it internally
- access ressources
From cluster-access
:
# a node to submit job to slurm (recommanded)
salloc --partition interactive --mem=64G srun --pty bash -l
# a node with a gpu to do local reconstruction
salloc --partition gpu --gres=gpu:1 --mem=256G srun --pty bash -l
or connect to visa on a instance with a gpu (recommanded way for the training)
- activate a python environment with tomotools: Either using 'modules' like
module load tomotools/{version}
or from the activate.sh
script like:
source /scisoft/tomotools/activate {version}
version can be dev, stable, 1.0 for example. When using the GUI we encourage people to use the 'stable' version.
For this training we will use the training_2024
version. Which contains software about to be released.
- launching tomwer
tomwer {command} {options}
like to launch the canvas
with a workflow file as a parameter:
tomwer canvas my_file.ows
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