The toolbox stems from the codebase developed by the MMDet team, who won COCO Detection Challenge in 2018, and we keep pushing it forward.Īpart from MMDetection, we also released a library mmcv for computer vision research, which is heavily depended on by this toolbox. The training speed is faster than or comparable to other codebases, including Detectron2, maskrcnn-benchmark and SimpleDet. Faster RCNN, Mask RCNN, RetinaNet, etc.Īll basic bbox and mask operations run on GPUs. The toolbox directly supports popular and contemporary detection frameworks, e.g. Support of multiple frameworks out of box We decompose the detection framework into different components and one can easily construct a customized object detection framework by combining different modules. The master branch works with PyTorch 1.3+. MMDetection is an open source object detection toolbox based on PyTorch.
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