SimCATS-Datasets is a Python package that simplifies the creation and loading of SimCATS datasets. Please have a look at [this repository](https://github.com/f-hader/SimCATS) regarding SimCATS itself.
Please have a look at the documentation on [ReadTheDocs](https://simcats-datasets.readthedocs.io/)
Changes in this version:
- Added support for sensor scan datasets (future SimCATS release will allow to simulate pure sensor scans for sensor tuning).
- `load_dataset` now offers the option to load sensor scans.
- `create_dataset` now offers the option to create sensor scan datasets.
- `SimcatsDataset` (PyTorch Dataset implementation) now supports using sensor scan datasets.
- Not all ground truth types will be supported for sensor scans. If a ground truth type fails to be loaded, the user gets an Exception with information regarding supported types.
- **Breaking changes**: The parameter for the measurement data in the PyTorch Dataset output formating functions (see simcats_datasets.support_functions.pytorch_format_output) is now called "measurement" instead of "csd".