DeepLabCut Installation
(Credit: Nick Morrison, Unsplash.com)
We are going to follow the installation instructions that are given on the installation documentation page.
Download the miniconda suite
We use the recommended miniconda installation. You can download the appropriate miniconda installer from the Anaconda site. Select the platform: Intel or Apple M1. You can do a graphical installation (pkg) or via terminal (bash).
Download the YAML file
Go directly to the DeepLabCut repository and download the raw DEEPLABCUT.yaml file.
You can create a DeepLabCut working directory and move the yaml file there.
mkdir DeepLabCut
cd DeepLabCut
After moving the yaml file there, then from this directory, run the following command
conda env create -f DEEPLABCUT.yaml
then a series of lines will show the process output, while the script is installing the required software packages. Wait until the process finishes successfully.
After completion, then you can activate the new environment
conda activate DEEPLABCUT
You are now ready to run DeepLabCut
python -m deeplabcut
Then you will get the active GUI
You are ready to start.
Created: 08/09/2024 (C. Lizárraga)
Updated: 08/10/2024 (C. Lizárraga)
DataLab, Data Science Institute, University of Arizona.
