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DeepLabCut
EPFL
DeepLabCut is collaboratively developed in the Mathis Lab and Mathis Group at EPFL.
- We are delighted so many life science laboratories use DeepLabCut (as of Feb. 2021, >190K downloads and cited in over 800 publications in its short 2.5 year life span!).
- With your support, we aim to maintain and build this project in academia, to keep it free and fully open source. The funding helps cover: a full time programmer, funds for workshops/online courses such as DLCcourse.deeplabcut.org, documentation/tutorials, and GPU computing hardware time to make it even better in the years to come!
We are grateful for your support! If you have any questions for the core-developers, please reach out: [email protected] ❤️
5 sponsors have funded DeepLabCut’s work.
Meet the team
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Alexander Mathis AlexEMGAlexander is an original developer of DLC!
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Mackenzie Mathis MMathisLabMackenzie is an original developer of DLC!
Featured work
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DeepLabCut/DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Python 4,743 -
DeepLabCut/DeepLabCut-Workshop-Materials
Workshop material for using DeepLabCut
Jupyter Notebook 140 -
DeepLabCut/DeepLabCut-live-GUI
GUI to run DeepLabCut on live video feed
Python 58 -
DeepLabCut/DeepLabCut-live
SDK for running DeepLabCut on a live video stream
Python 192