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Title: GitHub - LucZot/DeepLabCut: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals

Open Graph Title: GitHub - LucZot/DeepLabCut: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals

X Title: GitHub - LucZot/DeepLabCut: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals

Description: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals - LucZot/DeepLabCut

Open Graph Description: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals - LucZot/DeepLabCut

X Description: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals - LucZot/DeepLabCut

Opengraph URL: https://github.com/LucZot/DeepLabCut

X: @github

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📚Documentation	https://deeplabcut.github.io/DeepLabCut/README.html
🛠️ Installation	https://deeplabcut.github.io/DeepLabCut/docs/installation.html
🌎 Home Page	https://www.deeplabcut.org
🐿🐴🐁🐘🐆 Model Zoo	http://www.mackenziemathislab.org/deeplabcut/
🚨 News	https://deeplabcut.github.io/DeepLabCut/README.html#news-and-in-the-news
🪲 Reporting Issues	https://github.com/DeepLabCut/DeepLabCut/issues
🫶 Getting Assistance	https://deeplabcut.github.io/DeepLabCut/README.html#be-part-of-the-dlc-community
∞ DeepLabCut Online Course	https://github.com/DeepLabCut/DeepLabCut-Workshop-Materials/blob/master/DLCcourse.md
📝 Publications	https://deeplabcut.github.io/DeepLabCut/README.html#references
👩🏾‍💻👨‍💻 DeepLabCut AI Residency	https://www.deeplabcutairesidency.org/
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	https://pepy.tech/project/deeplabcut
	https://pepy.tech/project/deeplabcut
	https://badge.fury.io/py/deeplabcut
	https://www.gnu.org/licenses/lgpl-3.0
	https://github.com/psf/black
	https://github.com/DeepLabCut/DeepLabCut
	http://isitmaintained.com/project/deeplabcut/deeplabcut
	http://isitmaintained.com/project/deeplabcut/deeplabcut
	https://forum.image.sc/tag/deeplabcut
	https://gitter.im/DeepLabCut/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge
	https://twitter.com/DeepLabCut
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut/blob/master/CONTRIBUTING.md
	https://czi.co/EOSS
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#welcome-
Read a short development and application summary below	https://github.com/DeepLabCut/DeepLabCut#why-use-deeplabcut
Installation: how to install DeepLabCut	https://deeplabcut.github.io/DeepLabCut/docs/installation.html
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#installation-how-to-install-deeplabcut
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#quick-start
Install PyTorch	https://pytorch.org/get-started/locally/
install pytables	https://www.pytables.org/usersguide/installation.html
here	https://github.com/DeepLabCut/DeepLabCut/blob/main/conda-environments/README.md
deeplabcut-docker package	https://github.com/DeepLabCut/DeepLabCut/tree/main/docker
Documentation: The DeepLabCut Process	https://deeplabcut.github.io/DeepLabCut/README.html
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#documentation-the-deeplabcut-process
Nature Protocols paper	https://doi.org/10.1038/s41596-019-0176-0
http://DLCcourse.deeplabcut.org	http://DLCcourse.deeplabcut.org
	https://camo.githubusercontent.com/1ee3fe190a5d603f5303dd0a1d8c9b770eff3d38624e8d45b8b015773dd5ce07/68747470733a2f2f696d616765732e73717561726573706163652d63646e2e636f6d2f636f6e74656e742f76312f3537663664353163396637343536366635356563663237312f313630393234343930333638372d555331534e3036335149464a5334425034494a442f6b6531375a77644742546f6464493870446d34386b46473978415975623250506e6d68353650545667376755717378525571716272316d4f4a594b66495052374c6f4451396d58504f6a6f4a6f71793831533249384e5f4e34563176556235416f494949624c5a68565978435257344250753130537433544241555159564b63416a753565377539525a4a4556625651505a52753978625f6d2d6b554f324d3349314965447144346c385963477175326e5a50783155684b5638776331454c4e2f646c635f6f766572766965775f7768697465626b67726e642e706e673f666f726d61743d3235303077
DEMO the code	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut/blob/master/examples
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#demo-the-code
	https://colab.research.google.com/github/DeepLabCut/DeepLabCut/blob/master/examples/COLAB/COLAB_DEMO_mouse_openfield.ipynb
more demos here	https://github.com/DeepLabCut/DeepLabCut/blob/main/examples/README.md
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#why-use-deeplabcut
trail tracking	https://vnmurthylab.org/
reaching in mice	http://www.mousemotorlab.org/
Mathis et al.	https://www.nature.com/articles/s41593-018-0209-y
rats	http://www.mousemotorlab.org/deeplabcut
mouse whiskers	http://www.mousemotorlab.org/deeplabcut
race horses	http://www.mousemotorlab.org/deeplabcut
Pretraining boosts out-of-domain robustness for pose estimation	https://arxiv.org/abs/1909.11229
Lauer et al 2022	https://www.nature.com/articles/s41592-022-01443-0
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Mathis et al. 2018	https://www.nature.com/articles/s41593-018-0209-y
Mathis/Warren	https://www.biorxiv.org/content/early/2018/10/30/457242
Mathis/Warren	https://www.biorxiv.org/content/early/2018/10/30/457242
Nath* and Mathis* et al. 2019	https://doi.org/10.1038/s41596-019-0176-0
DLC-Utils	https://github.com/DeepLabCut/DLCutils
	https://camo.githubusercontent.com/f0d1d494301b82a97cd1be20bd60446f4ed00276fb3ed7c6e3716ec5bda9ee17/68747470733a2f2f696d616765732e73717561726573706163652d63646e2e636f6d2f636f6e74656e742f76312f3537663664353163396637343536366635356563663237312f313538383239323233333230332d46443144564b4151594e563254553931434f37522f6b6531375a77644742546f6464493870446d34386b49583234497344507a79364d344b556169686649434a5a772d7a505067646e346a557756634a45315a7657515578776b6d794578676c4e714770304976544a5a616d574c49327a76595748384b332d735f3479737a63703272795449304871544f6161556f68724938504978744755646b7a703032384b564e6e704f696a46335077654f4d35737536465551484f36576b6837324e772f646c635f65636f2e6769663f666f726d61743d3130303077
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#code-contributors
Alexander Mathis	https://github.com/AlexEMG
Mackenzie Mathis	https://github.com/MMathisLab
Tanmay Nath	https://github.com/meet10may
Jessy Lauer	https://github.com/jeylau
Niels Poulsen	https://github.com/n-poulsen
100+ contributors	https://github.com/DeepLabCut/DeepLabCut/graphs/contributors
AUTHORS	https://github.com/DeepLabCut/DeepLabCut/blob/master/AUTHORS
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#get-assistance--be-part-of-the-dlc-community
Issues	https://github.com/DeepLabCut/DeepLabCut/issues
Contributing	https://github.com/DeepLabCut/DeepLabCut/blob/master/CONTRIBUTING.md
Roadmap	https://github.com/DeepLabCut/DeepLabCut/blob/master/docs/roadmap.md
	https://forum.image.sc/tag/deeplabcut
	https://gitter.im/DeepLabCut/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge
BluSky🦋	https://bsky.app/profile/deeplabcut.bsky.social
	https://twitter.com/DeepLabCut
AI Residency Program	https://www.deeplabcutairesidency.org/
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#references--citations
dedicated page	https://deeplabcut.github.io/DeepLabCut/docs/citation.html
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#license
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#major-versions
here	https://github.com/DeepLabCut/DeepLabCut/releases
DeepLabCut	https://www.nature.com/articles/s41593-018-0209-y
Nature Protocols	https://doi.org/10.1038/s41596-019-0176-0
here	https://www.biorxiv.org/content/10.1101/476531v1
panel b	https://camo.githubusercontent.com/77c92f6b89d44ca758d815bdd7e801247437060b/68747470733a2f2f737461746963312e73717561726573706163652e636f6d2f7374617469632f3537663664353163396637343536366635356563663237312f742f3563336663316336373538643436393530636537656563372f313534373638323338333539352f636865657461682e706e673f666f726d61743d37353077
DeepLabCut	https://www.nature.com/articles/s41593-018-0209-y
https://github.com/DeepLabCut/DeepLabCut/releases/tag/1.11	https://github.com/DeepLabCut/DeepLabCut/releases/tag/1.11
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#news-and-in-the-news
here	http://www.mackenziemathislab.org/dlc-modelzoo/
new 2.2+ releases	https://github.com/DeepLabCut/DeepLabCut/releases
paper, Lauer et al 2022	https://www.nature.com/articles/s41592-022-01443-0
new docs	https://deeplabcut.github.io/DeepLabCut
Lauer et al 2022	https://www.nature.com/articles/s41592-022-01443-0
http://DLClive.deeplabcut.org	http://DLClive.deeplabcut.org
'Using DeepLabCut for 3D markerless pose estimation across species and behaviors'	https://www.nature.com/articles/s41596-019-0176-0
'DeepLabCut: the motion-tracking tool that went viral'	https://www.nature.com/articles/d41586-024-01474-x
'DeepLabCut: markerless pose estimation of user-defined body parts with deep learning'	https://www.nature.com/articles/s41593-018-0209-y
	https://forum.image.sc/tag/deeplabcut
SuperAnimal pretrained pose estimation models for behavioral analysis by Ye et al.	https://arxiv.org/abs/2203.07436
https://deeplabcut.github.io/DeepLabCut	https://deeplabcut.github.io/DeepLabCut
Pretraining boosts out-of-domain robustness for pose estimation	https://openaccess.thecvf.com/content/WACV2021/html/Mathis_Pretraining_Boosts_Out-of-Domain_Robustness_for_Pose_Estimation_WACV_2021_paper.html
DLClive.deeplabcut.org	http://DLClive.deeplabcut.org
docs	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut/blob/master/docs/UseOverviewGuide.md
review on animal pose estimation is published!	https://www.sciencedirect.com/science/article/pii/S0959438819301151
Harvard Gazette	https://news.harvard.edu/gazette/story/newsplus/harvard-researchers-awarded-czi-open-source-award/
CZI's Essential Open Source Software for Science site	https://chanzuckerberg.com/eoss/proposals/
Medium post	https://medium.com/@cziscience/how-open-source-software-contributors-are-accelerating-biomedicine-1a5f50f6846a
releases	https://github.com/DeepLabCut/DeepLabCut/releases
ImageNet pretraining contributes to robustness	https://arxiv.org/abs/1909.11229
review on animal pose estimation	https://arxiv.org/abs/1909.13868
releases	https://github.com/DeepLabCut/DeepLabCut/releases
twitter	https://twitter.com/deeplabcut
	https://twitter.com/DeepLabCut
here	https://github.com/DeepLabCut/DeepLabCut-Workshop-Materials
	https://forum.image.sc/tag/deeplabcut
BioRxiv	https://www.biorxiv.org/content/early/2018/11/24/476531
DLCutils	https://github.com/DeepLabCut/DLCutils
BioRxiv	https://www.biorxiv.org/content/early/2018/10/30/457242
Behavior tracking cuts deep	https://www.nature.com/articles/s41684-018-0164-y
Behavioral Tracking Gets Real	https://www.nature.com/articles/s41593-018-0215-0
preprint	https://arxiv.org/abs/1804.03142
Nature Neuroscience	https://www.nature.com/articles/s41593-018-0209-y
AI Enables Markerless Animal Tracking	https://news.developer.nvidia.com/ai-enables-markerless-animal-tracking/
Atlantic	https://www.theatlantic.com/science/archive/2018/07/deeplabcut-tracking-animal-movements/564338
arXiv.org	https://arxiv.org/abs/1804.03142
	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#funding
deeplabcut.org	http://deeplabcut.org
Readme	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#readme-ov-file
LGPL-3.0 license	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#LGPL-3.0-1-ov-file
Code of conduct	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#coc-ov-file
Contributing	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut#contributing-ov-file
Please reload this page	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut
Activity	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut/activity
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Report repository	https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FLucZot%2FDeepLabCut&report=LucZot+%28user%29
Releases	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut/releases
41 tags	https://patch-diff.githubusercontent.com/LucZot/DeepLabCut/tags
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