High Throughput Tomography framework.
Project description
HTTomo is a user interface (UI) written in Python for fast big data processing using MPI protocols. It orchestrates I/O data operations and enables processing on a CPU and/or a GPU. HTTomo utilises other libraries, such as TomoPy and HTTomolibgpu as backends for data processing. The methods from the libraries are exposed through YAML templates to enable fast task programming.
Installation
See detailed instructions for installation .
Documentation
Please check the full documentation.
Running HTTomo:
Install the module following any chosen installation path.
For help with the command line interface, execute
python -m httomo --helpChoose the existing YAML pipeline or build a new one using ready-to-be-used templates.
Optional: perform the validity check of the YAML pipeline file with the YAML checker.
Run HTTomo with
python -m httomo run [OPTIONS] IN_DATA_FILE YAML_CONFIG OUT_DIR, see more on that here.
Release Tagging Scheme
We use the setuptools-git-versioning
package for automatically determining the version from the latest git tag.
For this to work, release tags should start with a v followed by the actual version,
e.g. v1.1.0a.
We have setup a tag_filter in pyproject.toml to filter tags following this pattern.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
