Getting Started

Build DLC Conda Environment

# For the local build, we will use the CPU environment

$ wget "http://www.mousemotorlab.org/s/DLC-CPU.yaml"

$ conda env create -f DLC-CPU.yaml

$ conda activate DLC-CPU

$ pythonw

In [ ]: import deeplabcut

In [ ]: deeplabcut.launch_dlc()

Create New Project

• Type the name of the project and your name.
• Select the video you want to use for the current project.
• Check the first box, then click 'Browse' and choose a directory that you can remember.
• Check the second box.

• Keep the defaults then hit "Ok".

Wait until all processes are finished. When it's done, you will see the following message:

Frames were successfully extracted.

You can now label the frames using the function 'label_frames' (if you extracted enough frames for all videos).

Label Frames

• Click on Label Frames in the bottom.

• Label the body parts with mouse right-click.
• When you are done, save then quit.

• Click on check labels.

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The steps you need to do on your local computer are done. Now we will move the project to the cluster!