René's URL Explorer Experiment


Title: GitHub - DeepLabCut/DeepLabCut at 02583791b34bcb1c272d341f2c3b5dbb3594b9e6 · GitHub

Open Graph Title: GitHub - DeepLabCut/DeepLabCut at 02583791b34bcb1c272d341f2c3b5dbb3594b9e6

X Title: GitHub - DeepLabCut/DeepLabCut at 02583791b34bcb1c272d341f2c3b5dbb3594b9e6

Description: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans - GitHub - DeepLabCut/DeepLabCut at 02583791b34bcb1c272d341f2c3b5dbb3594b9e6

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

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

Opengraph URL: https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6

X: @github

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📚Documentationhttps://deeplabcut.github.io/DeepLabCut/README.html
🛠️ Installationhttps://deeplabcut.github.io/DeepLabCut/docs/installation.html
🌎 Home Pagehttps://www.deeplabcut.org
🐿🐴🐁🐘🐆 Model Zoohttp://www.mackenziemathislab.org/deeplabcut/
🚨 Newshttps://deeplabcut.github.io/DeepLabCut/README.html#news-and-in-the-news
🪲 Reporting Issueshttps://github.com/DeepLabCut/DeepLabCut/issues
🫶 Getting Assistancehttps://deeplabcut.github.io/DeepLabCut/README.html#be-part-of-the-dlc-community
∞ DeepLabCut Online Coursehttps://github.com/DeepLabCut/DeepLabCut-Workshop-Materials/blob/master/DLCcourse.md
📝 Publicationshttps://deeplabcut.github.io/DeepLabCut/README.html#references
👩🏾‍💻👨‍💻 DeepLabCut AI Residencyhttps://www.deeplabcutairesidency.org/
https://camo.githubusercontent.com/1e7261c06f1c17a5e838e0aad310facbe405d7a8505e74d4b13d6b37fae7bb9e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e5f76657273696f6e2d332e31302d707572706c65
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://x.com/DeepLabCut
https://github.com/DeepLabCut/DeepLabCut/blob/02583791b34bcb1c272d341f2c3b5dbb3594b9e6/CONTRIBUTING.md
https://czi.co/EOSS
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#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://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#installation-how-to-install-deeplabcut
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#quick-start
Install PyTorchhttps://pytorch.org/get-started/locally/
herehttps://github.com/DeepLabCut/DeepLabCut/blob/main/conda-environments/README.md
deeplabcut-docker packagehttps://github.com/DeepLabCut/DeepLabCut/tree/main/docker
Documentation: The DeepLabCut Processhttps://deeplabcut.github.io/DeepLabCut/README.html
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#documentation-the-deeplabcut-process
Nature Protocols paperhttps://doi.org/10.1038/s41596-019-0176-0
https://deeplabcut.github.io/DeepLabCut/docs/course.htmlhttps://deeplabcut.github.io/DeepLabCut/docs/course.html
https://camo.githubusercontent.com/1ee3fe190a5d603f5303dd0a1d8c9b770eff3d38624e8d45b8b015773dd5ce07/68747470733a2f2f696d616765732e73717561726573706163652d63646e2e636f6d2f636f6e74656e742f76312f3537663664353163396637343536366635356563663237312f313630393234343930333638372d555331534e3036335149464a5334425034494a442f6b6531375a77644742546f6464493870446d34386b46473978415975623250506e6d68353650545667376755717378525571716272316d4f4a594b66495052374c6f4451396d58504f6a6f4a6f71793831533249384e5f4e34563176556235416f494949624c5a68565978435257344250753130537433544241555159564b63416a753565377539525a4a4556625651505a52753978625f6d2d6b554f324d3349314965447144346c385963477175326e5a50783155684b5638776331454c4e2f646c635f6f766572766965775f7768697465626b67726e642e706e673f666f726d61743d3235303077
DEMO the codehttps://github.com/DeepLabCut/DeepLabCut/blob/02583791b34bcb1c272d341f2c3b5dbb3594b9e6/examples/README.md
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#demo-the-code
https://colab.research.google.com/github/DeepLabCut/DeepLabCut/blob/master/examples/COLAB/COLAB_DEMO_mouse_openfield.ipynb
more demos herehttps://github.com/DeepLabCut/DeepLabCut/blob/main/examples/README.md
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#why-use-deeplabcut
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#performance-
SuperAnimal-TopViewMouse with DLC-openfield held out for out-of-distribution testinghttps://www.nature.com/articles/s41467-024-48792-2
this Guidehttps://deeplabcut.github.io/DeepLabCut/docs/pytorch/architectures.html
link provides the model weightshttps://huggingface.co/mwmathis/DeepLabCutModelZoo-SuperAnimal-Quadruped
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#the-history
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
https://camo.githubusercontent.com/55eeb7122a870e1e4054174b3ccf6dd3fde8d89ee754f15c6ac0f34f96e5cfba/68747470733a2f2f737461746963312e73717561726573706163652e636f6d2f7374617469632f3537663664353163396637343536366635356563663237312f742f3563336534373235386139323264353438633438333234372f313534373538353333393831392f4572726f727673547261696e696e6773657453697a652e706e673f666f726d61743d37353077
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https://camo.githubusercontent.com/a868b50a53384d517e05a4eb2040568cf245631dcf965d0bbc0d79420c881ea6/68747470733a2f2f737461746963312e73717561726573706163652e636f6d2f7374617469632f3537663664353163396637343536366635356563663237312f742f3563336663316336373538643436393530636537656563372f313534373638323338333539352f636865657461682e706e673f666f726d61743d37353077
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
https://camo.githubusercontent.com/f0d1d494301b82a97cd1be20bd60446f4ed00276fb3ed7c6e3716ec5bda9ee17/68747470733a2f2f696d616765732e73717561726573706163652d63646e2e636f6d2f636f6e74656e742f76312f3537663664353163396637343536366635356563663237312f313538383239323233333230332d46443144564b4151594e563254553931434f37522f6b6531375a77644742546f6464493870446d34386b49583234497344507a79364d344b556169686649434a5a772d7a505067646e346a557756634a45315a7657515578776b6d794578676c4e714770304976544a5a616d574c49327a76595748384b332d735f3479737a63703272795449304871544f6161556f68724938504978744755646b7a703032384b564e6e704f696a46335077654f4d35737536465551484f36576b6837324e772f646c635f65636f2e6769663f666f726d61743d3130303077
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#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://github.com/DeepLabCut/DeepLabCut/graphs/contributors
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#get-assistance--be-part-of-the-dlc-community
Issueshttps://github.com/DeepLabCut/DeepLabCut/issues
Contributinghttps://github.com/DeepLabCut/DeepLabCut/blob/master/CONTRIBUTING.md
Roadmaphttps://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://x.com/DeepLabCut
AI Residency Programhttps://www.deeplabcutairesidency.org/
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#references--citations
dedicated pagehttps://deeplabcut.github.io/DeepLabCut/docs/citation.html
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#license
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#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
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://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#news-and-in-the-news
herehttps://deeplabcut.github.io/DeepLabCut/docs/ModelZoo.html
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
'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/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://github.com/DeepLabCut/DeepLabCut/blob/02583791b34bcb1c272d341f2c3b5dbb3594b9e6/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://x.com/deeplabcut
https://x.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
https://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#funding
deeplabcut.orghttp://deeplabcut.org
animal-pose-estimationhttps://github.com/topics/animal-pose-estimation
behavior-analysishttps://github.com/topics/behavior-analysis
deep-learninghttps://github.com/topics/deep-learning
deeplabcuthttps://github.com/topics/deeplabcut
feature-detectorshttps://github.com/topics/feature-detectors
keypoint-detectionhttps://github.com/topics/keypoint-detection
keypoint-trackinghttps://github.com/topics/keypoint-tracking
labeling-toolhttps://github.com/topics/labeling-tool
pose-estimationhttps://github.com/topics/pose-estimation
toolboxhttps://github.com/topics/toolbox
Readmehttps://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#readme-ov-file
Licensehttps://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#License-1-ov-file
Code of conducthttps://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#coc-ov-file
Contributinghttps://github.com/DeepLabCut/DeepLabCut/tree/02583791b34bcb1c272d341f2c3b5dbb3594b9e6#contributing-ov-file
Activityhttps://github.com/DeepLabCut/DeepLabCut/activity
Custom propertieshttps://github.com/DeepLabCut/DeepLabCut/custom-properties
5.7k starshttps://github.com/DeepLabCut/DeepLabCut/stargazers
119 watchinghttps://github.com/DeepLabCut/DeepLabCut/watchers
1.8k forkshttps://github.com/DeepLabCut/DeepLabCut/forks
Report repositoryhttps://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FDeepLabCut%2FDeepLabCut&report=DeepLabCut+%28user%29
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Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
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