1/14/2024 0 Comments Deep Work instal the new for mac![]() ![]() You need to decide if you want to use a CPU or GPU for your models: (Note, you can also use the CPU-only for project management and labeling the data! Then, for example, use Google Colaboratory GPUs for free (read more here and there are a lot of helper videos on our YouTube channel!).ĬPU? Great, jump to the next section below! 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 comptuer (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. ![]()
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