This repository provides an implementation of CenterNet-based object detection built on Facebook Research’s detectron2 framework. It supports training custom object detection models with features including data augmentation via imgaug, stochastic weight averaging, and knowledge distillation between teacher-student models. The project includes utilities to convert trained models to Caffe, ONNX, and TensorRT formats for deployment and faster inference.