1/9/2024 0 Comments Very pdf toolbox free trial![]() Label Assignment Distillation (WACV'2022).Side-Aware Boundary Localization (ECCV'2020).Results and models are available in the model zoo. We provide colab tutorial and instance segmentation colab tutorial, and other tutorials for: Please see get_started.md for the basic usage of MMDetection. Please refer to Installation for installation instructions. See tutorial.įind more new features in 3.x branch. Allows any kind of single-stage model as an RPN in a two-stage model.See tutorial of semi-supervised detection. Provides more strong baselines and a general semi-supervised object detection framework.Refactored and more flexible architecture.Faster training and testing speed with complete support of mixed precision training.Unifies interfaces of all components based on MMEngine. ![]() □ Preview of 3.x versionĪ brand new version of MMDetection v3.0.0rc0 was released in : Please refer to changelog.md for details and release history.įor compatibility changes between different versions of MMDetection, please refer to compatibility.md. Support Mask2Former for instance segmentation.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 1.5+. MMDetection is an open source object detection toolbox based on PyTorch.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |