Release Notes#

v1.1.0 (1Q23)#

  • Add FP16 IR export support

  • Add in-memory caching in dataloader

  • Add MoViNet template for action classification

  • Add Semi-SL multilabel classification algorithm

  • Integrate multi-gpu training for semi-supervised learning and self-supervised learning

  • Add train-type parameter to otx train

  • Add embedding of inference configuration to IR for classification

  • Enable VOC dataset in OTX

  • Add mmcls.VisionTransformer backbone support

v1.0.0 (1Q23)#

  • Installation through PyPI - Package will be renamed as OpenVINO™ Training Extensions

  • CLI update - Update otx find command to find configurations of tasks/algorithms - Introduce otx build command to customize task or model configurations - Automatic algorithm selection for the otx train command using the given input dataset

  • Adaptation of Datumaro component as a dataset interface