Top Tweets for #maDeepLabCut
ๆฑๅๅคงๅญฆ ๅคงๅญฆ้ข็ๅฝ็งๅญฆ็ ็ฉถ็ง
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ฅ่ฉฆ๏ผ็ง้ข่ฉฆ๏ผ11/8-9๏ผๅบ้ก10/12-22๏ผ
DeepLabCut ใง่คๆฐใใฆในใฎ็คพไผ่กๅ่งฃๆใๅไฝๅๅฃซใๅใใฆๅบไผใๆใใไบใใฎ่ณใฏใฉใฎใใใซๅๅฟใใใฎใใ็ดฐ่ใใ่ณใๅไฝใใ็คพไผใ่ฆๆดใใใ่ฆ็นใ่ฟฝ็ฉถใใฆใใพใใ
https://t.co/kymL5QPE3k
@TrackingPlumes @ScienceAdvances video clip of the multi-cell tracking w/#maDeepLabCut from: https://t.co/bYvkHW9t5U
๐ฅณ multi-animal DeepLabCut (#maDLC) has been updated!
Still in beta mode, but fully functional and community feedback is appreciated. ๐ฅฐ
๐ซ pip install deeplabcut==2.2b6 ๐ซ
๐ฃ read the release statement: https://t.co/J0Oc2ZCrGU
#DeepLabCut #maDeepLabCut ๐ค ๐ถ๐โฌ๏ธ
SimBA from @nilssonsro is updated to use #maDeepLabCut for two similar looking mice! (โฌ๏ธ video is dlc + simBA)
Iโm happy to release SimBAv1.2! SimBA now supports multiple similar looking animals, imported from either multi-animal @DeepLabCut or @MurthyLab SLEAP!
SimBA is an open-source @OpenBehavior graphical interface for creating supervised ML classifiers https://t.co/pbXqF3QMl0
๐ Interested in the new multi-animal pose estimation mode of #deeplabcut? We have video tutorials that walk you through the whole process in ~10 min! #maDeepLabCut #maDLC #teamDLC #DLCProTip #pose_estimation
๐ฅ: https://t.co/Dn7UVuwjsu
#maDeepLabCut #protip: the 'skeleton' is used for training, & this means connecting it is key! We built a new @matplotlib based GUI (& a @scidrawio ๐ญ to demo) how to (1) use more points, and (2) how to connect the skeleton!
๐น https://t.co/GAkS1P4eUx
๐ https://t.co/77aNGOp37R
๐ฆ๐ฆ check out #maDeepLabCut in action! Thnx @backyardbiomech for being the ๐ฅto tweet your cool work!
(More details on #maDLC here: https://t.co/7Uu6kueAQz)
@DeepLabCut pretty good for 2 hours of training on colab on 19 images, and without any refinement or filtering. THANK YOU @TrackingActions @TrackingPlumes @jessy_lauer! This speed is HUGE for undergraduate research. #DeepLabCut #multianimal
#maDeepLabCut #dlcprotip: your pre-2.2 labeled data can be used!!
This update is backwards compatible ๐๐ and we have added simple steps to โcovertโ a project to harness the power of our new multi-task DNNs and tools in 2.2... https://t.co/3Lm4RnRzoi
๐DeepLabCut 2.2-beta: multi-animal pose estimation & tracking ๐
๐ญ๐ญ๐ญ Release note: https://t.co/VHUWVQJeKL
๐๏ธ๐๏ธ๐๏ธ work from the DLC2.2 core-devs: @TrackingPlumes @jessy_lauer @TrackingActions
โจ ๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐==๐ธ.๐ธ.๐๐ป โจ
#maDeepLabCut: multi-animal support + high perf. pose estimation. We will highlight updates in the coming days, but here is 1:
This NEW tracking GUI built w/@matplotlib allows editing errors or swaps, & deal with occlusions:
๐น https://t.co/UwWEFrIXoZ
๐น https://t.co/p6Q3k6ZRpf
A little more fun - this video will be embedded in the docs as will several other new tutorials for #maDeepLabCut! ๐
https://t.co/GAkS1P4eUx
alpha testing โ
gearing up for the beta public release #maDeepLabCut ๐
โจNew feature to highlight: a new "skeleton" connector - since our new networks use the skeleton to train, you can draw them simply vs. typing into config.yaml ๐ (data from @BalintZKacsoh!) #antsoftwitter?
It's May - that means it's definitely time for DLC2.2 .... #maDeepLabCut truly coming soon๐ฅณ (thanks to the alpha testers out there this week putting it through it's paces ...)
@danlwarren @mtanichthys https://t.co/kf8l97TzHT if you just want one point per animal. If you want multi-points per animal, then #madeeplabcut (soon to be released).
#deeplabcut is at #cosyne19! Stop by our poster tonight (II-29) to chat with @TrackingPlumes & @TrackingActions, and attend the talk at the workshop on social behavior: we have some big updates in the pipeline ... ๐ญ๐ญ #maDeepLabCut
Looking good! ๐ญ๐ญ We will be discussing new methods for multi-animal tracking at COSYNE19 too! #maDeepLabCut
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