Releases: Labelbox/labelbox-python
Releases · Labelbox/labelbox-python
v.3.47.1
Version 3.47.1 (2023-05-24)
Fixed
- Loading of the ndjson parser when optional [data] libraries (geojson etc.) are not installed
v.3.47.0
Version 3.47.0 (2023-05-23)
Added
- Support for interpolated frames to export v2
Changed
- Removed ndjson library and replaced it with a custom ndjson parser
Notebooks
- Removed confidence scores in annotations - video notebook
- Removed raster seg masks from video prediction
- Added export v2 example
- Added SAM and Labelbox connector notebook
v.3.46.0
Version 3.46.0 (2023-05-03)
Added
- Global key support to DataRow Metadata
bulk_upsert()function
Notebooks
- Removed dataset based projects from project setup notebook
- Updated all links to annotation import and prediction notebooks in examples README
v.3.45.0
Version 3.45.0 (2023-04-27)
Changed
- Reduce threshold for async batch creation to 1000 data rows
Notebooks
- Added subclassifications to ontology notebook
- Added conversational and pdf predictions notebooks
v.3.44.0
Version 3.44.0 (2023-04-26)
Added
predictionsparam for optionally exporting predictions in model run export v2- Limits on
model_run_idsandproject_idson catalog export v2 params WORKFLOW_ACTIONwebhook topic- Added
data_row_idsfilter for dataset and project export v2
Fixed
- ISO timestamp parsing for datetime metadata
- Docstring typo for
client.delete_feature_schema_from_ontology()
Notebooks
- Removed mention of embeddings metadata fields
- Fixed broken colab link on
examples/extras/classification-confusion-matrix.ipynb - Added free text classification example to video annotation import notebook
- Updated prediction_upload notebooks with Annotation Type examples
v.3.43.0
Version 3.43.0 (2023-04-05)
Added
- Nested object classifications to
VideoObjectAnnotation - Relationship Annotation Types
- Added
project_idsandmodel_run_idsto params in all export_v2 functions
Fixed
- VideoMaskAnnotation annotation import
Notebooks
- Added DICOM annotation import notebook
- Added audio annotation import notebook
- Added HTML annotation import notebook
- Added relationship examples to annotation import notebooks
- Added global video classification example
- Added nested classification examples
- Added video mask example
- Added global key and LPOs to queue management notebook
v.3.42.0
Added
- Message based classifications with annotation types for conversations
- Video and raster segmentation annotation types
- Global key support to
ConversationEntity,DocumentEntityandDicomSegments - DICOM polyline annotation type
- Confidence attribute to classification annotations
Changed
- Increased metadata string size limit to 4096 chars
- Removed
deletedDataRowGlobalKeyfromget_data_row_ids_for_global_keys()
Fixed
- Annotation data type coercion by Pydantic
- Error message when end point coordinates are smaller than start point coordinates
- Some typos in error messages
Notebooks
- Refactored video notebook to include annotation types
- Replaced data row ids with global keys in notebooks
- Replaced
create_data_rowwithcreate_data_rowsin notebooks
v.3.41.0
Version 3.41.0 (2023-03-15)
Added
- New data classes for creating labels:
AudioData,ConversationData,DicomData,DocumentData,HTMLData - New
DocumentEntityannotation type class - New parameter
last_activity_endtoProject.export_labels()
Notebooks
- Updated
annotation_import/pdf.ipynbwith example use ofDocumentEntityclass
v.3.40.1
Version 3.40.1 (2023-03-10)
Fixed
- Fixed issue where calling create_batch() on exported data rows wasn't working
v.3.40.0
Version 3.40.0 (2023-03-10)
Added
- Support Global keys to reference data rows in
Project.create_batch(),ModelRun.assign_data_rows_to_split() - Support upserting labels via project_id in
model_run.upsert_labels() media_type_overrideparam to export_v2last_activity_atandlabel_created_atparams to export_v2- New client method
is_feature_schema_archived() - New client method
unarchive_feature_schema_node() - New client method
delete_feature_schema_from_ontology()
Changed
- Removed default task names for export_v2
Fixed
- process_label() for COCO panoptic dataset
Notebooks
- Updated
annotation_import/pdf.ipynbwith more examples - Added
integrations/huggingface/huggingface.ipynb - Fixed broken links for detectron notebooks in README
- Added Dataset QueueMode during project creation in
integrations/detectron2/coco_object.ipynb - Removed metadata and updated ontology in
annotation_import/text.ipynb - Removed confidence scores in
annotation_import/image.ipynb - Updated custom embedding tutorial links in
basics/data_row_metadata.ipynb