def test_metric_list():
assert recall(l_true, l_pred) == 4 / 6
assert isnan(recall(l0, l_pred))
assert precision(l_true, l_pred) == 4 / 7
assert recall(l_true, l_pred, thresh=1) == 3 / 6
assert precision(l_true, l_pred, thresh=1) == 3 / 7
assert iou(l_true, l_pred) == 3 / 13
assert isnan(iou(l0, l0))
def test_metric_series():
assert recall(s_true, s_pred) == 9 / 12
assert isnan(recall(s0, s_pred))
assert precision(s_true, s_pred) == 9 / 15
assert f1_score(s_true, s_pred) == pytest.approx(2 / 3)
assert isnan(f1_score(s0, s_pred))
assert isnan(f1_score(1 - s_pred, s_pred))
assert iou(s_true, s_pred) == 9 / 17
assert iou(s_pred, s_true) == 9 / 17
assert isnan(iou(s0, s0))
def test_metric_dataframe():
assert recall(df_true, df_pred) == {"A": 9 / 12, "B": 9 / 15}
assert all([isnan(x) for x in recall(df0, df_pred).values()]) and (recall(
df0, df_pred).keys() == {
"A": n,
"B": n
}.keys())
assert precision(df_true, df_pred) == {"A": 9 / 15, "B": 9 / 12}
assert f1_score(df_true, df_pred) == {
"A": pytest.approx(2 / 3),
"B": pytest.approx(2 / 3),
}
assert all([isnan(x) for x in f1_score(df0, df_pred).values()
]) and (f1_score(df0, df_pred).keys() == {
"A": n,
"B": n
}.keys())
assert iou(df_true, df_pred) == {"A": 9 / 17, "B": 9 / 17}
assert all([isnan(x) for x in iou(df0, df0).values()]) and (iou(
df0, df0).keys() == {
"A": n,
"B": n
}.keys())
def test_metric_dict():
assert recall(d_true, d_pred) == {"A": 4 / 6, "B": 4 / 7}
assert all([isnan(x) for x in recall(d0, d_pred).values()]) and (recall(
d0, d_pred).keys() == {
"A": n,
"B": n
}.keys())
assert precision(d_true, d_pred) == {"A": 4 / 7, "B": 4 / 6}
assert f1_score(d_true, d_pred) == {
"A": pytest.approx(2 * 4 / 7 * 4 / 6 / (4 / 7 + 4 / 6)),
"B": pytest.approx(2 * 4 / 7 * 4 / 6 / (4 / 7 + 4 / 6)),
}
assert recall(d_true, d_pred, thresh=1) == {"A": 3 / 6, "B": 3 / 7}
assert precision(d_true, d_pred, thresh=1) == {"A": 3 / 7, "B": 3 / 6}
assert iou(d_true, d_pred) == {"A": 3 / 13, "B": 3 / 13}
def test_metric_dataframe():
assert recall(df_true, df_pred) == {"A": 9 / 12, "B": 9 / 15}
assert precision(df_true, df_pred) == {"A": 9 / 15, "B": 9 / 12}
assert iou(df_true, df_pred) == {"A": 9 / 17, "B": 9 / 17}
def test_metric_series():
assert recall(s_true, s_pred) == 9 / 12
assert precision(s_true, s_pred) == 9 / 15
assert iou(s_true, s_pred) == 9 / 17
assert iou(s_pred, s_true) == 9 / 17