v0.7.1 Released

• Fixed an issue with coco imports not working
• Fixed an issue with dataset slips not working
• preliminary support for labelbox bouding_box imports

v0.7.0 Released

• Files can now be reseted/move to NEW status
• Item Count now considers both images and videos
• Added support for polygon and complex_polygon bboxes in pascalvoc
• Fixed weight measuring for classification datasets
• Added support for item deletion in both CLI and SDK
• General bug fixes

v0.6.15 Released

• Added typing to all modules
• PDF files can now be uploaded as videos
• General bugfixes

v0.6.14 Released

• Specify release_name parameter value in detectron2_register_datasets
• Keep bounding box annotation data when splitting video annotations

v0.6.13 Released

• New ml extra for ML-related dependencies (pip install darwin-py[ml])

v0.6.12 Released

• Deconstruct Paths for COCO
• fixed check on filename not existing (PascalVOC import issue)
• Add DARWIN_UPLOAD_CHUNK_SIZE environment variable (fixing uploads failing when uploads are too big)
• Improved failed requests handling
• Added try except for symlink creation (Now symlink creation should not crash in any platform)
• Add class to dataset based on annotation class id (adaption to new API)

v0.6.11 Released

• [HOTFIX] Convert target to Tensor in ClassificationDataset
• [FIX] Change default behaviour in ClassificationDataset
• Include progress when fetching dataset
• Upload files with PUT instead of POST requests (to conform with API updates)

v0.6.10 Released

• FIX: include sub-annotation data for all annotations converted to COCO
• ClassificationDataset in torch module is now usable for multi-label classification purposes

v0.6.9 Released

• import_annotations now raise when parameters have invalid format

v0.6.8 Released

• Avoid creating latest symlinks of dataset versions when pulling datasets