def test_corresponding_tracks():
t1 = {1: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 1)}
t2 = {1: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 2)}
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 0
t1 = {1: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 3)}
t2 = {2: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 3)}
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 1
assert correspondences[0] == (1, 2)
t1 = {1: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 3),
2: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 4)}
t2 = {1: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 4),
2: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 5)}
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 1
assert correspondences[0] == (2, 1)
t1 = {1: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 5),
2: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 6)}
t2 = {3: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 5),
4: pysfm.Observation(1.0, 1.0, 1.0, 0, 0, 0, 6)}
correspondences = reconstruction.corresponding_tracks(t1, t2)
correspondences.sort(key=lambda c: c[0] + c[1])
assert len(correspondences) == 2
assert correspondences[0] == (1, 3)
assert correspondences[1] == (2, 4)
def test_corresponding_tracks():
t1 = {1: {"feature_id": 1}}
t2 = {1: {"feature_id": 2}}
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 0
t1 = {1: {"feature_id": 3}}
t2 = {2: {"feature_id": 3}}
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 1
assert correspondences[0] == (1, 2)
t1 = {1: {"feature_id": 3}, 2: {"feature_id": 4}}
t2 = {1: {"feature_id": 4}, 2: {"feature_id": 5}}
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 1
assert correspondences[0] == (2, 1)
t1 = {1: {"feature_id": 5}, 2: {"feature_id": 6}}
t2 = {3: {"feature_id": 5}, 4: {"feature_id": 6}}
correspondences = reconstruction.corresponding_tracks(t1, t2)
correspondences.sort(key=lambda c: c[0] + c[1])
assert len(correspondences) == 2
assert correspondences[0] == (1, 3)
assert correspondences[1] == (2, 4)
def test_corresponding_tracks() -> None:
t1 = {1: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 1, 1, 1)}
t2 = {1: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 2, 2, 2)}
# pyre-fixme[6]: For 1st param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
# pyre-fixme[6]: For 2nd param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 0
t1 = {1: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 3, 3, 3)}
t2 = {2: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 3, 3, 3)}
# pyre-fixme[6]: For 1st param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
# pyre-fixme[6]: For 2nd param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 1
assert correspondences[0] == (1, 2)
t1 = {
1: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 3, 3, 3),
2: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 4, 4, 4),
}
t2 = {
1: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 4, 4, 4),
2: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 5, 5, 5),
}
# pyre-fixme[6]: For 1st param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
# pyre-fixme[6]: For 2nd param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
correspondences = reconstruction.corresponding_tracks(t1, t2)
assert len(correspondences) == 1
assert correspondences[0] == (2, 1)
t1 = {
1: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 5, 5, 5),
2: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 6, 6, 6),
}
t2 = {
3: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 5, 5, 5),
4: pymap.Observation(1.0, 1.0, 1.0, 0, 0, 0, 6, 6, 6),
}
# pyre-fixme[6]: For 1st param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
# pyre-fixme[6]: For 2nd param expected `Dict[str, Observation]` but got
# `Dict[int, Observation]`.
correspondences = reconstruction.corresponding_tracks(t1, t2)
correspondences.sort(key=lambda c: c[0] + c[1])
assert len(correspondences) == 2
assert correspondences[0] == (1, 3)
assert correspondences[1] == (2, 4)