[console_scripts]
pca_features.py = xbob.paper.tpami2013.scripts.pca_features:main
concatenate_scores.py = xbob.paper.tpami2013.scripts.concatenate_scores:main
plda_train.py = xbob.paper.tpami2013.scripts.plda_train:main
experiment_plda_subworld.py = xbob.paper.tpami2013.scripts.experiment_plda_subworld:main
toolchain_plda.py = xbob.paper.tpami2013.scripts.toolchain_plda:main
plda_example_iris.py = xbob.paper.tpami2013.scripts.plda_example_iris:main
linear_project.py = xbob.paper.tpami2013.scripts.linear_project:main
plot_figure2.py = xbob.paper.tpami2013.scripts.plot_figure2:main
distance_scores.py = xbob.paper.tpami2013.scripts.distance_scores:main
plda_enroll.py = xbob.paper.tpami2013.scripts.plda_enroll:main
meanmodel_enroll.py = xbob.paper.tpami2013.scripts.meanmodel_enroll:main
toolchain_lda.py = xbob.paper.tpami2013.scripts.toolchain_lda:main
lda_train.py = xbob.paper.tpami2013.scripts.lda_train:main
plda_scores.py = xbob.paper.tpami2013.scripts.plda_scores:main
lbph_features.py = xbob.paper.tpami2013.scripts.lbph_features:main
toolchain_lbph.py = xbob.paper.tpami2013.scripts.toolchain_lbph:main
pca_train.py = xbob.paper.tpami2013.scripts.pca_train:main
lbph_extraction.py = xbob.paper.tpami2013.scripts.lbph_extraction:main

