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YoloX architectures.
SSDLite Mobilenet V2 COCO recipe
QAT support with Nvidia's pytorch-quantization (optional dependency).
COCO mAP calculation support in DDP (torch metric object, supports "crowd" labels).
Pre_prediction_callback- support for input and targets manipulation right before forward pass + multiscaling pre_prediction_callbacks that work out of the box in DDP (classification and Object detection).
Training stage switch callback to support multi-stage training.