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

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

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

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

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

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

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

X: @github

direct link

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๐Ÿ“šDocumentationhttps://deeplabcut.github.io/DeepLabCut/README.html
๐Ÿ› ๏ธ Installationhttps://deeplabcut.github.io/DeepLabCut/docs/installation.html
๐ŸŒŽ Home Pagehttps://www.deeplabcut.org
๐Ÿฟ๐Ÿด๐Ÿ๐Ÿ˜๐Ÿ† Model Zoohttp://www.mackenziemathislab.org/dlc-modelzoo/
๐Ÿšจ Newshttps://deeplabcut.github.io/DeepLabCut/README.html#news-and-in-the-news
๐Ÿชฒ Reporting Issueshttps://github.com/DeepLabCut/DeepLabCut/issues
๐Ÿซถ Getting Assistancehttps://deeplabcut.github.io/DeepLabCut/README.html#be-part-of-the-dlc-community
โˆž DeepLabCut Online Coursehttps://github.com/DeepLabCut/DeepLabCut-Workshop-Materials/blob/master/DLCcourse.md
๐Ÿ“ Publicationshttps://deeplabcut.github.io/DeepLabCut/README.html#references
๐Ÿ‘ฉ๐Ÿพโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ป DeepLabCut AI Residencyhttps://www.deeplabcutairesidency.org/
https://pepy.tech/project/deeplabcut
https://pepy.tech/project/deeplabcut
https://badge.fury.io/py/deeplabcut
https://github.com/DeepLabCut/DeepLabCut/workflows/Python%20package/badge.svg
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/HRKimLab/DeepLabCut/blob/main/CONTRIBUTING.md
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#welcome-
Read a short development and application summary belowhttps://github.com/DeepLabCut/DeepLabCut#why-use-deeplabcut
Installation: how to install DeepLabCuthttps://deeplabcut.github.io/DeepLabCut/docs/installation.html
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#installation-how-to-install-deeplabcut
herehttps://github.com/DeepLabCut/DeepLabCut/blob/master/conda-environments/README.md
deeplabcut-docker packagehttps://github.com/DeepLabCut/DeepLabCut/tree/master/docker
Documentation: The DeepLabCut Processhttps://deeplabcut.github.io/DeepLabCut
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#documentation-the-deeplabcut-process
Nature Protocols paperhttps://doi.org/10.1038/s41596-019-0176-0
http://DLCcourse.deeplabcut.orghttp://DLCcourse.deeplabcut.org
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DEMO the codehttps://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut/blob/main/examples
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#demo-the-code
https://colab.research.google.com/github/DeepLabCut/DeepLabCut/blob/master/examples/COLAB/COLAB_DEMO_mouse_openfield.ipynb
https://colab.research.google.com/github/DeepLabCut/DeepLabCut/blob/master/examples/COLAB/COLAB_3miceDemo.ipynb
more demos herehttps://github.com/DeepLabCut/DeepLabCut/blob/main/examples/README.md
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#why-use-deeplabcut
trail trackinghttps://vnmurthylab.org/
reaching in micehttp://www.mousemotorlab.org/
Mathis et al.https://www.nature.com/articles/s41593-018-0209-y
ratshttp://www.mousemotorlab.org/deeplabcut
mouse whiskershttp://www.mousemotorlab.org/deeplabcut
race horseshttp://www.mousemotorlab.org/deeplabcut
Pretraining boosts out-of-domain robustness for pose estimationhttps://arxiv.org/abs/1909.11229
Lauer et al 2022https://www.nature.com/articles/s41592-022-01443-0
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Mathis et al. 2018https://www.nature.com/articles/s41593-018-0209-y
Mathis/Warrenhttps://www.biorxiv.org/content/early/2018/10/30/457242
Mathis/Warrenhttps://www.biorxiv.org/content/early/2018/10/30/457242
Nath* and Mathis* et al. 2019https://doi.org/10.1038/s41596-019-0176-0
DLC-Utilshttps://github.com/DeepLabCut/DLCutils
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https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#code-contributors
Alexander Mathishttps://github.com/AlexEMG
Mackenzie Mathishttps://github.com/MMathisLab
Tanmay Nathhttps://github.com/meet10may
Jessy Lauerhttps://github.com/jeylau
Niels Poulsenhttps://github.com/n-poulsen
100+ contributorshttps://github.com/DeepLabCut/DeepLabCut/graphs/contributors
AUTHORShttps://github.com/DeepLabCut/DeepLabCut/blob/master/AUTHORS
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#get-assistance--be-part-of-the-dlc-community
https://forum.image.sc/tag/deeplabcut
Issueshttps://github.com/DeepLabCut/DeepLabCut/issues
https://gitter.im/DeepLabCut/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge
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https://twitter.com/DeepLabCut
AI Residency Programhttps://www.deeplabcutairesidency.org/
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#references
cite Mathis et al, 2018https://www.nature.com/articles/s41593-018-0209-y
Nath, Mathis et al, 2019https://doi.org/10.1038/s41596-019-0176-0
Mathis, Biasi et al. 2021https://openaccess.thecvf.com/content/WACV2021/papers/Mathis_Pretraining_Boosts_Out-of-Domain_Robustness_for_Pose_Estimation_WACV_2021_paper.pdf
Lauer et al. 2022https://www.nature.com/articles/s41592-022-01443-0
CiteAs.orghttp://citeas.org/
10.1038/s41593-018-0209-yhttps://doi.org/10.1038/s41593-018-0209-y
10.1038/s41596-019-0176-0https://doi.org/10.1038/s41596-019-0176-0
10.1038/s41592-022-01443-0https://doi.org/10.1038/s41592-022-01443-0
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#license
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#major-versions
herehttps://github.com/DeepLabCut/DeepLabCut/releases
DeepLabCuthttps://www.nature.com/articles/s41593-018-0209-y
Nature Protocolshttps://doi.org/10.1038/s41596-019-0176-0
herehttps://www.biorxiv.org/content/10.1101/476531v1
panel bhttps://camo.githubusercontent.com/77c92f6b89d44ca758d815bdd7e801247437060b/68747470733a2f2f737461746963312e73717561726573706163652e636f6d2f7374617469632f3537663664353163396637343536366635356563663237312f742f3563336663316336373538643436393530636537656563372f313534373638323338333539352f636865657461682e706e673f666f726d61743d37353077
DeepLabCuthttps://www.nature.com/articles/s41593-018-0209-y
https://github.com/DeepLabCut/DeepLabCut/releases/tag/1.11https://github.com/DeepLabCut/DeepLabCut/releases/tag/1.11
https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#news-and-in-the-news
herehttp://www.mackenziemathislab.org/dlc-modelzoo/
new 2.2+ releaseshttps://github.com/DeepLabCut/DeepLabCut/releases
paper, Lauer et al 2022https://www.nature.com/articles/s41592-022-01443-0
new docshttps://deeplabcut.github.io/DeepLabCut
Lauer et al 2022https://www.nature.com/articles/s41592-022-01443-0
http://DLClive.deeplabcut.orghttp://DLClive.deeplabcut.org
'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/DeepLabCuthttps://deeplabcut.github.io/DeepLabCut
Pretraining boosts out-of-domain robustness for pose estimationhttps://openaccess.thecvf.com/content/WACV2021/html/Mathis_Pretraining_Boosts_Out-of-Domain_Robustness_for_Pose_Estimation_WACV_2021_paper.html
DLClive.deeplabcut.orghttp://DLClive.deeplabcut.org
docshttps://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut/blob/main/docs/UseOverviewGuide.md
review on animal pose estimation is published!https://www.sciencedirect.com/science/article/pii/S0959438819301151
Harvard Gazettehttps://news.harvard.edu/gazette/story/newsplus/harvard-researchers-awarded-czi-open-source-award/
CZI's Essential Open Source Software for Science sitehttps://chanzuckerberg.com/eoss/proposals/
Medium posthttps://medium.com/@cziscience/how-open-source-software-contributors-are-accelerating-biomedicine-1a5f50f6846a
releaseshttps://github.com/DeepLabCut/DeepLabCut/releases
ImageNet pretraining contributes to robustnesshttps://arxiv.org/abs/1909.11229
review on animal pose estimationhttps://arxiv.org/abs/1909.13868
releaseshttps://github.com/DeepLabCut/DeepLabCut/releases
twitterhttps://twitter.com/deeplabcut
https://twitter.com/DeepLabCut
herehttps://github.com/DeepLabCut/DeepLabCut-Workshop-Materials
https://forum.image.sc/tag/deeplabcut
BioRxivhttps://www.biorxiv.org/content/early/2018/11/24/476531
DLCutilshttps://github.com/DeepLabCut/DLCutils
BioRxivhttps://www.biorxiv.org/content/early/2018/10/30/457242
Behavior tracking cuts deephttps://www.nature.com/articles/s41684-018-0164-y
Behavioral Tracking Gets Realhttps://www.nature.com/articles/s41593-018-0215-0
preprinthttps://arxiv.org/abs/1804.03142
Nature Neurosciencehttps://www.nature.com/articles/s41593-018-0209-y
AI Enables Markerless Animal Trackinghttps://news.developer.nvidia.com/ai-enables-markerless-animal-tracking/
Atlantichttps://www.theatlantic.com/science/archive/2018/07/deeplabcut-tracking-animal-movements/564338
arXiv.orghttps://arxiv.org/abs/1804.03142
deeplabcut.orghttp://deeplabcut.org
Readme https://patch-diff.githubusercontent.com/HRKimLab/DeepLabCut#readme-ov-file
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