This repository provides the official PyTorch implementation of SOLO (Segmenting Objects by Locations), a box-free instance segmentation approach that directly outputs instance masks and class probabilities via fully convolutional networks. SOLOv2 improves on the original with dynamic and faster mask prediction. Both methods achieve state-of-the-art results on COCO, with the best model reaching 41.7% AP.