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 - Introduceotx build
command to customize task or model configurations - Automatic algorithm selection for theotx train
command using the given input datasetAdaptation of Datumaro component as a dataset interface