![]() ![]() ![]() If you want to use the SuperAnimal models, then please use pip install 'deeplabcut'. You have both standard and multi-animal installed! PIP: #Įverything you need to build custom models within DeepLabCut (i.e., use our source code and our dependencies) can be installed with pip install 'deeplabcut' (for GUI support w/tensorflow) or without the gui: pip install 'deeplabcut'. □ Next, head over to the Docs to decide which mode to use DeepLabCut in. Great, that’s it! DeepLabCut is installed! □□ NOTE: no need to run pip install deeplabcut, as it is already installed!!! :) Now you should see ( nameofenv) on the left of your terminal screen, i.e. on your Mac: conda activate DEEPLABCUT or conda activate DEEPLABCUT_M1) Ubuntu/MacOS: source/conda activate nameoftheenv (i.e. You can now use this environment from anywhere on your computer (i.e., no need to go back into the conda- folder). Now, in the terminal run (Windows/Linux/MacBook Intel chip): You can (on Windows) hold SHIFT and right-click > Copy as path, or (on Mac) right-click and while in the menu press the OPTION key to reveal Copy as Pathname. If you cloned the repo onto your Desktop, the command may look like:Ĭd C:\Users\YourUserName\Desktop\DeepLabCut\conda-environments Publishing Notebooks into the Main DLC Cookbook.Improving network performance on unbalanced data via augmentation □.Automate training and video analysis: Batch Processing.Input/output manipulations with DeepLabCut.How to convert a pre-2.2 project for use with DeepLabCut 2.2.Multi-animal pose estimation with DeepLabCut: A 5-minute tutorial.Using ModelZoo models on your own datasets.Clustering in the napari-DeepLabCut GUI.Helper & Advanced Optional Function Documentation. ![]() DeepLabCut User Guide (for single animal projects).□ Get started with DeepLabCut: our key recommendations. ![]()
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