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

v0.6.3 Released

Fixes for importing annotations (and creating new classes).

v0.6.2 Released

• Fixes issues with : _ and - in dataset export names.
• Fixes issues with floats in pascal voc files
• Detects if darwin-py version is out of date and warns.
• Fixes issues with downloading images with invalid names for windows.