Added * Updated metrics for classifications to be per-answer
v.3.13.1
3.13.1
Fix * Updated code to properly import correctly
v.3.13.0
3.13.0
Added * Added `from_shapely` method to create annotation types from Shapely objects * Added `start` and `end` filter on the following methods - `Project.export_labels()` - `Project.label_generator()` - `Project.video_label_generator()` * Improved type hinting
3.12.0
Added * Tiled Imagery annotation type - A set of classes that support Tiled Image assets - New demo notebook can be found under: `examples/annotation_types/tiled_imagery_basics.ipynb` - Updated tiled image mal can be found under: `examples/model_assisted_labeling/tiled_imagery_mal.ipynb` * Support transformations from one EPSG to another with `EPSGTransformer` class - Supports EPSG to pixel space transformations Fix * Added missing packaging lib to requirements
3.11.1
Fix * Make `TypedArray` class compatible with `numpy` versions `>= 1.22.0` * `project.upsert_review_queue` quotas can now be in the inclusive range [0,1] * Restore support for upserting html instructions to a project
3.11.0
Fix * `Dataset.create_data_rows()` now accepts any iterable of data row creation parameters instead of requiring a list * `project.upsert_instructions()` * Now only supports pdfs since that is required by the editor * There was a bug that could cause this function to modify the project ontology
Removed * `DataRowMetadataSchema.id` use `DataRowMetadataSchema.uid` instead * `ModelRun.delete_annotation_groups()` use `ModelRun.delete_model_run_data_rows()` instead * `ModelRun.annotation_groups()` use `ModelRun.model_run_data_rows()` instead