This repository provides a PyTorch and CUDA implementation of Deformable Convolution V2, a computer vision technique that enables the convolution kernel to sample from arbitrary locations with learned offsets. It is ported from the original MXNet implementation and is used as a component in object detection frameworks like mmdetection for tasks such as object detection and segmentation.