Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Track animal movements and behaviors without markers using a deep learning toolbox.
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Free · no card · unsubscribe anytimeOfficial implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
DeepLabCut has 5.7k stars on GitHub. It has been forked 1.8k times. DeepLabCut is written mainly in Python. It has been in active development since 2018. DeepLabCut is available under the LGPL-3.0 license. Its main topics are animal-pose-estimation, behavior-analysis, deep-learning, deeplabcut.
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
DeepLabCut is an open-source project. It is released under the LGPL-3.0 license.
Yes. DeepLabCut is free and open source — you can use, modify and self-host it. Its LGPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
DeepLabCut is available under the LGPL-3.0 license.
DeepLabCut is written mainly in Python.
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