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Executing Experiments for Detection of Makeup Attacks
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Generating set of commands 
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The complete setup has 5 experiments of makeup detection. To facilitate quick running and evaluation of experiments, a simple script is provided to programmatically generate all commands.  
You can specify the ``base directory`` where all the results should be stored, and few other parameters in ``config.ini`` in the present folder.
Run the python script ``generate_commands.py`` in the same folder. 
As a result, a new text file ``commands.txt`` will be generated in the same folder which consists of necessary commands. The commands are divided into 5 sections:

1. AIM Vulnerability
2. AIM PAD
3. YMU Cross-validation
4. Cross-dataset (Training on YMU)
5. Cross-dataset (Training on MIFS)


Running the experiments
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Run commands from ``commands.txt`` to execute experiments, and also to evaluate and plot their results.


Note: Whenever you are working with already preprocessed data, you may use the corresponding flags in ``spoof.py`` command to avoid invoking the preprocessing commands.