def test_features_statistics_null(
scene_synthetic: synthetic_scene.SyntheticInputData,
null_scene: types.Reconstruction,
) -> None:
dataset = synthetic_dataset.SyntheticDataSet(
null_scene,
scene_synthetic.exifs,
scene_synthetic.features,
scene_synthetic.tracks_manager,
)
features_statistics = stats.features_statistics(
dataset, scene_synthetic.tracks_manager, [null_scene]
)
assert list(features_statistics.keys()) == [
"detected_features",
"reconstructed_features",
]
assert (
features_statistics["detected_features"]
== features_statistics["reconstructed_features"]
)
assert features_statistics["reconstructed_features"] == {
"min": -1,
"max": -1,
"mean": -1,
"median": -1,
}
def test_features_statistics_normal(
scene_synthetic: synthetic_scene.SyntheticInputData,
) -> None:
reference = scene_synthetic.reconstruction
dataset = synthetic_dataset.SyntheticDataSet(
reference,
scene_synthetic.exifs,
scene_synthetic.features,
scene_synthetic.tracks_manager,
)
features_statistics = stats.features_statistics(
dataset, scene_synthetic.tracks_manager, [reference]
)
assert list(features_statistics.keys()) == [
"detected_features",
"reconstructed_features",
]
assert (
features_statistics["detected_features"]
== features_statistics["reconstructed_features"]
)
assert features_statistics["reconstructed_features"] == {
"min": 303,
"max": 1065,
"mean": 841,
"median": 884,
}