diff --git a/bob/bio/face/script/face.py b/bob/bio/face/script/face.py
new file mode 100644
index 0000000000000000000000000000000000000000..7006fe8fdf26fa1bdcc3f4b5294f328f55240e9e
--- /dev/null
+++ b/bob/bio/face/script/face.py
@@ -0,0 +1,168 @@
+#!/usr/bin/env python
+# vim: set fileencoding=utf-8 :
+# Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
+
+"""
+This script runs some face recognition baselines under some face databases
+
+Run `bob bio face baselines --help` to list all the baselines and databases available
+
+Examples:
+
+ To run the LDA baseline in the mobio-male database do:
+ bob bio face baselines --database mobio-male --baseline lda
+
+ To run the GMM baseline in the mobio-male database do:
+ bob bio face baselines --database mobio-male --baseline gmm
+
+"""
+
+from bob.extension.scripts.click_helper import verbosity_option
+from bob.extension.scripts.click_helper import (
+ verbosity_option, ConfigCommand, ResourceOption)
+from click_plugins import with_plugins
+import click
+import os
+import pkg_resources
+import bob.bio.base
+from bob.bio.base.script.verify import main as verify
+
+def get_available_databases():
+ """
+ Get all the available databases through the database entry-points
+ """
+
+ available_databases = dict()
+ all_databases = bob.bio.base.resource_keys('database')
+ for database in all_databases:
+ try:
+ database_entry_point = bob.bio.base.load_resource(database, 'database')
+
+ available_databases[database] = dict()
+
+ # Checking if the database has data for the ZT normalization
+ available_databases[database]["has_zt"] = hasattr(database_entry_point, "zobjects") and hasattr(database_entry_point, "tobjects")
+ available_databases[database]["groups"] = []
+ # Searching for database groups
+ try:
+ groups = list(database_entry_point.groups())
+ for g in ["dev", "eval"]:
+ available_databases[database]["groups"] += [g] if g in groups else []
+ except:
+ # In case the method groups is not implemented
+ available_databases[database]["groups"] = ["dev"]
+ except:
+ pass
+ return available_databases
+
+# LIST OF REGISTERED BASELINES
+BASELINES = {
+ 'eigenface': dict(
+ preprocessor = 'face-crop-eyes',
+ extractor = 'linearize',
+ algorithm = 'pca',
+ ),
+
+ 'lda': dict(
+ preprocessor = 'face-crop-eyes',
+ extractor = 'eigenface',
+ algorithm = 'lda',
+ ),
+ 'plda': dict(
+ preprocessor = 'face-crop-eyes',
+ extractor = 'linearize',
+ algorithm = 'pca+plda',
+ grid = 'demanding',
+ ),
+ 'gabor-graph': dict(
+ preprocessor = 'inorm-lbp-crop',
+ extractor = 'grid-graph',
+ algorithm = 'gabor-jet',
+ ),
+ 'lgbphs': dict(
+ preprocessor = 'tan-triggs-crop',
+ extractor = 'lgbphs',
+ algorithm = 'histogram',
+ ),
+ 'gmm': dict(
+ preprocessor = 'tan-triggs-crop',
+ extractor = 'dct-blocks',
+ algorithm = 'gmm',
+ grid = 'demanding',
+ ),
+ 'isv': dict(
+ preprocessor = 'tan-triggs-crop',
+ extractor = 'dct-blocks',
+ algorithm = 'isv',
+ grid = 'demanding',
+ ),
+ 'ivector': dict(
+ preprocessor = 'tan-triggs-crop',
+ extractor = 'dct-blocks',
+ algorithm = 'ivector',
+ grid = 'demanding',
+ ),
+ }
+
+
+DATABASES = [d for d in get_available_databases().keys()]
+
+@with_plugins(pkg_resources.iter_entry_points('bob.bio.cli.bio'))
+@click.group()
+def face():
+ """Entry point to run Face Recognition Algorithms
+
+ Check it out https://www.idiap.ch/software/bob/docs/bob/bob.bio.face/stable/index.html
+
+ """
+ pass
+
+
+@face.command(entry_point_group='bob.bio.config', cls=ConfigCommand)
+@click.option('--baseline', '-b', required=True, cls=ResourceOption, help="Registered baseline", type=click.Choice(BASELINES))
+@click.option('--database', '-d', required=True, cls=ResourceOption, help="Registered database", type=click.Choice(DATABASES))
+@click.option('--temp-directory', '-T', required=False, cls=ResourceOption, help="The directory to write temporary the data of the experiment into. If not specified, the default directory of the verify.py script is used (see verify.py --help).")
+@click.option('--result-directory', '-R', required=False, cls=ResourceOption, help="The directory to write the resulting score files of the experiment into. If not specified, the default directories of the verify.py script are used (see verify.py --help).")
+@click.option('--grid', '-g', help="Execute the algorithm in the SGE grid.", is_flag=True)
+@click.option('--zt-norm', '-z', help="Enable the computation of ZT norms (if the database supports it).", is_flag=True)
+def baselines(baseline, database, temp_directory, result_directory, grid, zt_norm, **kwargs):
+ """
+ This script runs some face recognition baselines under some face databases
+
+ Run `bob bio face baselines --help` to list all the baselines and databases available
+
+ Examples:
+
+ To run the LDA baseline in the mobio-male database do:
+ bob bio face baselines --database mobio-male --baseline lda
+
+ To run the GMM baseline in the mobio-male database do:
+ bob bio face baselines --database mobio-male --baseline gmm
+ """
+
+ # this is the default sub-directory that is used
+ sub_directory = os.path.join(database, baseline)
+ database_data = get_available_databases()[database]
+ parameters = [
+ '-p', BASELINES[baseline]["preprocessor"],
+ '-e', BASELINES[baseline]["extractor"],
+ '-d', database,
+ '-a', BASELINES[baseline]["algorithm"],
+ '-vvv',
+ '--temp-directory', temp_directory,
+ '--result-directory', result_directory,
+ '--sub-directory', sub_directory
+ ]
+
+ parameters += ['--groups'] + database_data["groups"]
+
+ if grid:
+ if 'grid' in BASELINES[baseline].keys():
+ parameters += ['-g', BASELINES[baseline]["grid"]]
+ else:
+ parameters += ['-g', 'grid']
+
+ if zt_norm and 'has_zt' in database_data.keys():
+ parameters += ['--zt-norm']
+
+ verify(parameters)
diff --git a/setup.py b/setup.py
index 05079868fb561109918f32b5b1b53a12f20e4a82..60375166dd3210e031b4e4cfe494957574cb8f85 100644
--- a/setup.py
+++ b/setup.py
@@ -188,6 +188,11 @@ setup(
'histogram = bob.bio.face.config.algorithm.histogram:algorithm', # LGBPHS histograms
'bic-jets = bob.bio.face.config.algorithm.bic_jets:algorithm', # BIC on gabor jets
],
+
+ # main entry for bob bio cli
+ 'bob.bio.cli': [
+ 'face = bob.bio.face.script.face:face',
+ ],
},
# Classifiers are important if you plan to distribute this package through