This repository reorganizes YOLOv5 into backbone, neck, and head components to enable flexible experimentation with various architectures including ResNet, HRNet, Swin-Transformer, and MobileNet. It supports plug-in modules like SE, DCN, CBAM, and DropBlock. The project provides TensorRT and Triton inference serving, post-training quantization, and quantization-aware training for production deployment.