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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][explanation] for examples of Jupyter notebooks to run behaviour analysis.

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

See [here][explanation] for a tutorial of behavysis's workflow.

See [here][behavysis_pipeline] 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.