Installation Instructions
As noted before, this package is part of the bob.bio
packages, which in
turn are part of the signal-processing and machine learning toolbox Bob_. To
install Bob_, please read the `Installation Instructions <bobinstall_>`_.
Note
Running Bob_ under MS Windows in not yet supported. However, we found that running Bob_ in a virtual Unix environment such as the one provided by VirtualBox_ is a good alternative.
Then, to install the bob.bio
packages and in turn maybe the database
packages that you want to use, use conda_ to install them:
$ conda search bob.bio # searching
$ conda search bob.db # searching
$ conda install bob.bio.base bob.bio.<bioname> bob.db.<dbname>
where you would replace <bioname>
and <dbname>
with the name of
packages that you want to use.
An example installation
For example, you might want to run a video face recognition experiments using the :py:class:`bob.bio.face.preprocessor.FaceDetect` and the :py:class:`bob.bio.face.extractor.DCTBlocks` feature extractor defined in :ref:`bob.bio.face <bob.bio.face>`, the :py:class:`bob.bio.gmm.algorithm.IVector` algorithm defined in :ref:`bob.bio.gmm <bob.bio.gmm>` and the video extensions defined in :ref:`bob.bio.video <bob.bio.video>`, using the YouTube faces database interface defined in :ref:`bob.db.youtube <bob.db.youtube>`. Running the command line below will install all the required packages:
$ source activate <bob_conda_environment>
$ conda install bob.bio.base \
bob.bio.face \
bob.bio.gmm \
bob.bio.video \
bob.db.youtube \
gridtk
Databases
With bob.bio
you will run biometric recognition experiments using some
default biometric recognition databases. Though the verification protocols are
implemented in bob.bio
, the original data are not included. To download
the original data of the databases, please refer to the according Web-pages.
For a list of supported databases including their download URLs, please refer
to the `verification_databases <packages_>`_.
After downloading the original data for the databases, you will need to tell
bob.bio
, where these databases can be found. For this purpose, we have
decided to implement a special file, where you can set your directories. By
default, this file is located in ~/.bob_bio_databases.txt
, and it contains
several lines, each line looking somewhat like:
[YOUR_ATNT_DIRECTORY] = /path/to/your/directory
Note
If this file does not exist, feel free to create and populate it yourself.
Please use databases.py
for a list of known databases, where you can see
the raw [YOUR_DATABASE_PATH]
entries for all databases that you haven't
updated, and the corrected paths for those you have.
Note
If you have installed only bob.bio.base
, there is no database listed --
as all databases are included in other packages, such as
:ref:`bob.bio.face <bob.bio.face>` or :ref:`bob.bio.spear <bob.bio.spear>`.
Test your Installation
You can also install the nose
package to test your installation and use
that to verify your installation:
$ conda install nose # install nose
$ nosetests -vs bob.bio.base
$ nosetests -vs bob.bio.gmm
...
You should run the script running the nose tests for each of the bob.bio
packages separately.
$ nosetests -vs bob.bio.base
$ nosetests -vs bob.bio.gmm
...
Some of the tests that are run require the images of the `AT&T database`_ database. If the database is not found on your system, it will automatically download and extract the `AT&T database`_ a temporary directory, which will not be erased.
To avoid the download to happen each time you call the nose tests, please:
- Download the `AT&T database`_ database and extract it to the directory of your choice.
- Set an environment variable
ATNT_DATABASE_DIRECTORY
to the directory, where you extracted the database to. For example, in abash
you can call:
$ export ATNT_DATABASE_DIRECTORY=/path/to/your/copy/of/atnt
Note
To set the directory permanently, you can also change the
atnt_default_directory
in the file bob/bio/base/test/utils.py. In this case, there is no need to set
the environment variable any more.
In case any of the tests fail for unexplainable reasons, please send a report through our `mailing list`_.
Note
Usually, all tests should pass with the latest stable versions of Bob_ packages. In other versions, some of the tests may fail.
Generate this documentation
Generally, the documentation of this package is available online, and this should be your preferred resource. However, to generate this documentation locally, you call:
$ conda install sphinx # install sphinx
$ sphinx-build doc sphinx
Afterward, the documentation is available and you can read it, e.g., by using:
$ firefox sphinx/index.html