Running

Step 1:

Open a terminal (Mac or Linux) or Anaconda PowerShell Prompt (Windows)

Step 2:

Activate the program environment with the following command:

conda activate behavysis_pipeline_env

Step 3:

You can now use the behavysis package in a Jupyter kernel or regular Python script.

See here for examples of Jupyter notebooks to run behaviour analysis.

See here for examples of Jupyter notebooks to train behaviour classifiers.

See here for a tutorial of behavysis's workflow.

See here for API documentation.

Note

To run jupyter, run the following command in the terminal

jupyter-lab

This will open a browser to http://127.0.0.1:8888/lab, where you can run jupyter notebooks.

You can also run jupyter notebooks in VS Code.