(0) Be sure you have Anaconda 3 installed! https://www.anaconda.com/distribution/, and get familiar with using "cmd" or terminal!

(1) download or git clone this repo (in the terminal/cmd program, while in a folder you wish to place DeepLabCut type git clone https://github.com/AlexEMG/DeepLabCut.git

(2) "cd", i.e. go into, the folder named conda-environments

(2) Now, depending on which file you want to use, in your terminal type:

conda env create -f dlc-macOS-CPU.yaml

or

conda env create -f dlc-windowsCPU.yaml

or

conda env create -f dlc-windowsGPU.yaml

If you plan to use Jupyter Notebooks once you are inside the environment you need to run this line one time to link to Jupyter: conda install nb_conda

Great, that's it!

Now just follow the user guide, to activate your environment and get DeepLabCut up and running in no time!

Just as a reminder, you can exit the environment anytime and (later) come back! So the environments really allow you to manage multiple packages that you might want to install on your computer.

Once you are in the terminal type:

• Windows: activate nameoftheenvironment
• Linux/MacOS: source activate nameoftheenvironment

Here are some conda environment management tips: https://kapeli.com/cheat_sheets/Conda.docset/Contents/Resources/Documents/index