In all of them, given raw data as input it does the following steps:
Sub-pipeline 1:\n
---------------
Training background model. Some biometric algorithms demands the training of background model, for instance, PCA/LDA matrix or a Neural networks. This sub-pipeline handles that and it consists of 3 steps:
Creation of biometric references: This is a standard step in a biometric pipelines.
Given a set of samples of one identity, create a biometric reference (a.k.a template) for sub identity. This sub-pipeline handles that in 3 steps and they are the following:
Note that this sub-pipeline depends on the previous one
Sub-pipeline 3:\n
---------------
Probing: This is another standard step in biometric pipelines. Given one sample and one biometric reference, computes a score. Such score has different meanings depending on the scoring method your biometric algorithm uses. It's out of scope to explain in a help message to explain what scoring is for different biometric algorithms.
* ``--sub-directory``: A descriptive name for your experiment, which will serve as a sub-directory
The first four parameters, i.e., the ``database``, the ``preprocessor``, the ``extractor`` and the ``algorithm`` can be specified in several different ways.
For the start, we will use only the registered :ref:`Resources <bob.bio.base.resources>`.
For the start, we will use only the registered Resources.
These resources define the source code that will be used to compute the experiments, as well as all the meta-parameters of the algorithms (which we will call the *configuration*).
To get a list of registered resources, please call:
...
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@@ -112,7 +112,7 @@ After the experiment has finished successfully, one or more text file containing
all the scores are written. In this section, commands that helps to quickly
evaluate a set of scores by generating metrics or plots are presented here.
The scripts take as input either a 4-column or 5-column data format as specified
in the documentation of :py:func:`bob.bio.base.score.load.four_column` or
in the documentation of :py:func:`bob.bio.base.score.load.four_column` or
:py:func:`bob.bio.base.score.load.five_column`.
Two sets of commands, ``bob pad`` and ``bob vuln`` are available for