Fusion-tools

Fix:
- Debugging some items in `ClassificationDataset` and `SegmentationDataset`

Features:
- Version now starts with 1! 😎

Fix:
- Updating labels returned by `ClassificationDataset` (returning 0.0 for structures that do not include the "label_property")

Features:
- `dataset` module added
- Implements `SegmentationDataset` and `ClassificationDataset` which are PyTorch-formatted Dataset classes which allow for iteration of annotated structures in a set of slides. `SegmentationDataset` returns images and masks while `ClassificationDataset` returns images and labels (stored in GeoJSON properties). PyTorch installation is not required with this implementation, however, to integrate these datasets into a ML-pipeline one of the image/target/label transforms has to convert the data to a Tensor.

Features:
- FeatureExtraction functionality added with parallelization (non-interactive)


v0.0.12->v0.0.21 (10/07/2024)

Fix:
- External testing performed, restructuring of package and setup in response to errors encountered

Features:
- Support for Jupyter Notebook visualization (excluding JupyterHub hosted over HTTPS)

Fix:
- Fixed adding/deleting manual ROIs (keeping _id property)

Features:
- Create new annotation layers based off of selected filters in `OverlayOptions`
- Apply labels to properties in `BulkLabels`
- Adding `process_filter_queries` to `shapes` for external access. Allows users to pass a list of spatial and property queries to a GeoJSON and returns a unified FeatureCollection
- Select different colormaps in `OverlayOptions` under "Advanced Overlay Options". This includes all colormaps detailed [here](https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3)

Fix:
- Fixing callbacks initialization for MultiFrameSlideMap
- Fixing dropdown menus for PropertyViewer with >2 levels of nested properties (now works with arbitrary levels)

Features
- Switching from in-memory GeoJSON to geobuf for added efficiency with >10k structures
- Manual ROIs now able to be used individually as opposed to as members of one single FeatureCollection