Hi @amohammadi, @ydayer
Follow the proposition for a new DB interface for PAD.
It follows the same guide lines used in bob.bio.base.
Follow below the features implemented:
Follow an example on how to use it, by reading from a file structure and from a tarball
def run(path):
dataset = CSVPADDataset(path, "protocol1")
# Train
assert len(dataset.fit_samples()) == 5
# 2 out of 5 are bonafides
assert sum([s.is_bonafide for s in dataset.fit_samples()]) == 2
# DEV
assert len(dataset.predict_samples()) == 5
# 2 out of 5 are bonafides
assert sum([s.is_bonafide for s in dataset.predict_samples()]) == 2
# EVAL
assert len(dataset.predict_samples(group="eval")) == 7
# 3 out of 5 are bonafides
assert sum([s.is_bonafide for s in dataset.predict_samples(group="eval")]) == 3
csv_example_dir = os.path.realpath(
bob.io.base.test_utils.datafile(".", __name__, "data/csv_dataset")
)
csv_example_tarball = os.path.realpath(
bob.io.base.test_utils.datafile(".", __name__, "data/csv_dataset.tar.gz")
)
run(csv_example_dir)
run(csv_example_tarball)