Release 1.2.0

New features

• Add generating feature cli_report.log in output for otx training (#1959)
• Support multiple python versions up to 3.10 (#1978)
• Support export of onnx models (#1976)
• Add option to save images after inference in OTX CLI demo together with demo in exportable code (#2005)
• Support storage cache in Apache Arrow using Datumaro for cls, det, seg tasks (#2009)
• Add noisy label detection for multi-class classification task (#1985, #2034)

Enhancements

• Clean up and refactor the output of the OTX CLI (#1946)
• Enhance DetCon logic and SupCon for semantic segmentation(#1958)
• Detection task refactoring (#1955)
• Classification task refactoring (#1972)
• Extend OTX explain CLI (#1941)
• Segmentation task refactoring (#1977)
• Action task refactoring (#1993)
• Optimize data preprocessing time and enhance overall performance in semantic segmentation (#2020)
• Support automatic batch size decrease when there is no enough GPU memory (#2022)

Bug fixes

• Fix backward compatibility with OpenVINO SSD-like detection models from OTE 0.5 (#1970)

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)