Release 1.3.0

New features

• Support direct annotation input for COCO format (#1921)
• Action task supports multi GPU training. (#2057)
• Support storage cache in Apache Arrow using Datumaro for action tasks (#2087)
• Add a simplified greedy labels postprocessing for hierarchical classification (#2064).
• Support auto adapting batch size (#2119)
• Support auto adapting num_workers (#2165)
• Support noisy label detection for detection tasks (#2109, #2115, #2123, #2183)

Enhancements

• Make semantic segmentation OpenVINO models compatible with ModelAPI (#2029).
• Support label hierarchy through LabelTree in LabelSchema for classification task (#2149, #2152).
• Enhance exportable code file structure, video inference and default value for demo (#2051).
• Speedup OpenVINO inference in image classificaiton, semantic segmentation, object detection and instance segmentation tasks (#2105).
• Refactoring of ONNX export functionality (#2155).

Bug fixes

• Fix async mode inference for demo in exportable code (#2154)

Known issues

• OpenVINO(==2022.3) IR inference is not working well on 2-stage models (e.g. Mask-RCNN) exported from torch==1.13.1
  (working well up to torch==1.12.1) (#1906)