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

v0.6.7 Released

• Fixed concurrency issue at upload time. Uploading files should now be more reliable.
• Fixed a bug that made it impossible to map annotation files to images and videos when pulling datasets, if annotation file stems ended with spaces.

v0.6.6 Released

• added support to importation for existing skeleton classes
• doesn't install test libraries by default
• sets sequence number for coco video export
• aligns darwin and coco bounding box extraction

v0.6.5 Released

• Create annotation classes with sub annotations
• Enable custom number of threads for uploading
• Fix bug with setup.py failing when certain libraries wheren't installed
• Improved documentation

v0.6.4 Released

Fixes issue with adding an existing team annotation class to a dataset