.. _bob.bio.base.baseline:

==================
Defining baselines
==================


Once you have a biometric system well established, tuned and working for a
particular database (or a particular set of databases), you may want to provide
**an easier to reproduce** way to share it. For this purpose, we defined
something called baseline.

A baseline (:any:`bob.bio.base.baseline.Baseline`) is composed by the triplet
of :any:`bob.bio.base.preprocessor.Preprocessor`,
:any:`bob.bio.base.extractor.Extractor` and
:any:`bob.bio.base.algorithm.Algorithm`.

First, check it out the baselines ready to be triggered in your environment by
doing:

.. code-block:: sh

    $ bob bio baseline --help

For example, if you run ``bob bio baseline -vvv eigenface atnt``, it will run
the eigenface face recognition baseline on the atnt database (assuming you have
installed ``bob.bio.face`` and ``bob.db.atnt``).


To create your own baseline, you just need to define it like in the recipe
below:

.. code-block:: py

    from bob.bio.base.baseline import Baseline

    baseline = Baseline(name="my-baseline",
                        preprocessors={"default": 'my-preprocessor'},
                        extractor='my-extractor'),
                        algorithm='my-algorithm'))

Some databases may require some specific preprocessors depending on the type
of meta-informations provided. For instance, for some face recognition
databases, faces should be cropped in a particular way depending on the
annotations provided. To approach this issue, the preprocessors are defined in
a dictionary, with a generic preprocessor defined as **default** and the
database specific preprocessor defined by database name as in the example
below:

.. code-block:: py

    self.preprocessors = dict()
    self.preprocessors["default"] = 'my-preprocessor'
    self.preprocessors["database_name"] = 'my-specific-preprocessor'


Follow below a full example on how to define a baseline with database specific
preprocessors.

.. code-block:: py

    from bob.bio.base.baseline import Baseline

    preprocessors = {"default": 'my-preprocessor'}
    preprocessors["database_name"] = 'my-specific-preprocessor'
    baseline = Baseline(name="another-baseline",
                        preprocessors=preprocessors,
                        extractor='my-extractor'),
                        algorithm='my-algorithm'))

.. note::

   The triplet can be a resource or a configuration file. This works in the
   same way as in :ref:`Running Experiments <running_part_1>`.

.. note::

  Baselines are also registered as resources under the keyword
  `bob.bio.baseline`.

You can find the list of readily available baselines using the ``resources.py``
command:

.. code-block:: sh

    $ resources.py --types baseline