Version 3.9.0

Version 3.9.0 (2021-11-12)

Added

• New ontology management features
  • Query for ontologies by name with client.get_ontologies() or by id using client.get_ontology()
  • Query for feature schemas by name with client.get_feature_schemas() or id using client.get_feature_schema()
  • Create feature schemas with client.create_feature_schema()
  • Create ontologies from normalized ontology data with client.create_ontology()
  • Create ontologies from feature schemas with client.create_ontology_from_feature_schemas()
  • Set up a project from an existing ontology with project.setup_editor()
  • Added new FeatureSchema entity
• Add support for new queue modes
  • Send batches of data rows to a project queue with project.queue()
  • Remove items from a project queue with project.dequeue()
  • Query for and toggle the queue mode

Version 3.8.0

Version 3.8.0 (2021-10-22)

Added

• ModelRun.upsert_data_rows()
  • Add data rows to a model run without also attaching labels
• OperationNotAllowedException
  • raised when users hit resource limits or are not allowed to use a particular operation

Updated

• ModelRun.upsert_labels()
  • Blocks until the upsert job is complete. Error messages have been improved
• Organization.invite_user() and Organization.invite_limit() are no longer experimental
• AnnotationGroup was renamed to ModelRunDataRow
• ModelRun.delete_annotation_groups() was renamed to ModelRun.delete_model_run_data_rows()
• ModelRun.annotation_groups() was renamed to ModelRun.model_run_data_rows()

Fix

• DataRowMetadataField no longer relies on pydantic for field validation and coercion
  • This prevents unintended type coercions from occurring

Version 3.7.0

Version 3.7.0 (2021-11-10)

Added

• Search for data row ids from external ids without specifying a dataset
  • client.get_data_row_ids_for_external_ids()
• Support for numeric metadata type

Updated

• The following DataRowMetadataOntology fields were renamed:
  • all_fields -> fields
  • all_fields_id_index -> fields_by_id
  • reserved_id_index -> reserved_by_id
  • reserved_name_index -> reserved_by_name
  • custom_id_index -> custom_by_id
  • custom_name_index -> custom_by_name

Version 3.6.1

Version 3.6.1 (2021-07-10)

• Fix import error that appears when exporting labels

Version 3.6.0

Version 3.6.0 (2021-05-10)

Added

• Bulk export metadata with DataRowMetadataOntology.bulk_export()
• Add docstring examples of annotation types and a few helper methods

Updated

• Update metadata notebook under examples/basics to include bulk_export
• Allow color to be a single integer when constructing Mask objects
• Allow users to pass int arrays to RasterData and attempt coercion to uint8

Removed

• data_row.metadata was removed in favor of bulk exports

Version 3.5.0

Version 3.5.0 (2021-15-09)

Added

• Diagnostics custom metrics
  • Metric annotation types
  • Update ndjson converter to be compatible with metric types
  • Metric library for computing confusion matrix metrics and iou
  • Demo notebooks under examples/diagnostics
• COCO Converter
  • Convert to and from COCO object and panoptic formats
• Detectron2 example integration notebooks

Version 3.4.1

Version 3.4.1 (2021-09-10)

Fix

• Iam validation exception message

Version 3.4.0

Version 3.4.0 (2021-09-10)

Added

• New IAMIntegration entity
• Client.create_dataset() compatibility with delegated access
• Organization.get_iam_integrations() to list all iam integrations available to an org
• Organization.get_default_iam_integration() to retrieve the default iam integration

Version 3.3.0

Version 3.3.0 (2021-09-07)

Added

• Dataset.create_data_rows_sync() for synchronous bulk uploads of data rows
• Model.delete(), ModelRun.delete(), and ModelRun.delete_annotation_groups() to
  Clean up models, model runs, and annotation groups.

Fix

• Increased timeout for label exports since projects with many segmentation masks weren't finishing quickly enough.

Version 3.2.1

Version 3.2.1 (2021-08-31)

Fix

• Resolved issue with create_data_rows() not working on amazon linux