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#dlcprotip! A great example of guessing is from@behaviOrganisms using dlc for tracking coin tricks: https://arxiv.org/abs/1908.07446 https://twitter.com/alesantuz/status/1217905522864795648 …
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#dlcProTip: if you use the latest macOS Catania, anaconda is likely broken... check tips here: https://www.anaconda.com/how-to-restore-anaconda-after-macos-catalina-update/ … -
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#dlcprotip: badly tracked videos can be added to the dataset and manually re-labelled to re-train@DeepLabCut. Data refinement is a painless and quick process and the new GUI is quite great!pic.twitter.com/KXu5zrqODj – mjesto: Rowland Institute
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#dlcProTip: for every function you can look up the “docstring” which shows you all the functionality and how to use it. Simple place a *?* after a function ( ie: deeplabcut.analyze_videos?) Tips: https://github.com/AlexEMG/DeepLabCut/blob/master/docs/HelperFunctions.md … and a new wiki for quick lookup: https://github.com/AlexEMG/DeepLabCut/wiki/DOCSTRINGS …pic.twitter.com/OQkzIXq0nT
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#dlcProTip: Linux has better support for deep learning with CUDA, it’s faster for DLC, and most of our daily *pip install deeplabcut* continuously come from Linux users#opensource (download stats from pypi)pic.twitter.com/FHBS1dK0mA
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