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Updated test_peak for new exclude_border

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This commit is contained in:
Jeremy Metz
2016-02-23 22:24:36 +00:00
parent 25d15c603d
commit 7b23b83d21
1 changed files with 16 additions and 16 deletions
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skimage/feature/tests/test_peak.py
+16 -16
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@@ -109,7 +109,7 @@ def test_reorder_labels():
expected = (expected == image)
result = peak.peak_local_max(image, labels=labels, min_distance=1,
threshold_rel=0, footprint=footprint,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert (result == expected).all()
@@ -127,7 +127,7 @@ def test_indices_with_labels():
expected = (expected == image)
result = peak.peak_local_max(image, labels=labels, min_distance=1,
threshold_rel=0, footprint=footprint,
indices=True, exclude_border=False)
indices=True, exclude_border=0)
assert (result == np.transpose(expected.nonzero())).all()
@@ -145,7 +145,7 @@ def test_ndarray_exclude_border():
nd_image[2,2,2] = 1
expected = np.zeros_like(nd_image, dtype=np.bool)
expected[2,2,2] = True
result = peak.peak_local_max(nd_image, min_distance=2, indices=False)
result = peak.peak_local_max(nd_image, exclude_border=2, indices=False)
assert (result == expected).all()
@@ -155,7 +155,7 @@ def test_empty():
result = peak.peak_local_max(image, labels=labels,
footprint=np.ones((3, 3), bool),
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(~ result)
@@ -167,7 +167,7 @@ def test_one_point():
result = peak.peak_local_max(image, labels=labels,
footprint=np.ones((3, 3), bool),
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == (labels == 1))
@@ -179,7 +179,7 @@ def test_adjacent_and_same():
result = peak.peak_local_max(image, labels=labels,
footprint=np.ones((3, 3), bool),
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == (labels == 1))
@@ -193,11 +193,11 @@ def test_adjacent_and_different():
result = peak.peak_local_max(image, labels=labels,
footprint=np.ones((3, 3), bool),
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == expected)
result = peak.peak_local_max(image, labels=labels,
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == expected)
@@ -211,7 +211,7 @@ def test_not_adjacent_and_different():
result = peak.peak_local_max(image, labels=labels,
footprint=np.ones((3, 3), bool),
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == expected)
@@ -226,7 +226,7 @@ def test_two_objects():
result = peak.peak_local_max(image, labels=labels,
footprint=np.ones((3, 3), bool),
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == expected)
@@ -241,7 +241,7 @@ def test_adjacent_different_objects():
result = peak.peak_local_max(image, labels=labels,
footprint=np.ones((3, 3), bool),
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == expected)
@@ -259,7 +259,7 @@ def test_four_quadrants():
expected = (expected == image)
result = peak.peak_local_max(image, labels=labels, footprint=footprint,
min_distance=1, threshold_rel=0,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result == expected)
@@ -273,10 +273,10 @@ def test_disk():
footprint=footprint,
min_distance=1, threshold_rel=0,
threshold_abs=-1, indices=False,
exclude_border=False)
exclude_border=0)
assert np.all(result)
result = peak.peak_local_max(image, footprint=footprint, threshold_abs=-1,
indices=False, exclude_border=False)
indices=False, exclude_border=0)
assert np.all(result)
@@ -289,7 +289,7 @@ def test_3D():
assert_equal(peak.peak_local_max(image, min_distance=6, threshold_rel=0),
[[15, 15, 15]])
assert_equal(peak.peak_local_max(image, min_distance=10, threshold_rel=0,
exclude_border=False),
exclude_border=0),
[[5, 5, 5], [15, 15, 15]])
assert_equal(peak.peak_local_max(image, min_distance=5, threshold_rel=0),
[[5, 5, 5], [15, 15, 15]])
@@ -304,7 +304,7 @@ def test_4D():
assert_equal(peak.peak_local_max(image, min_distance=6, threshold_rel=0),
[[15, 15, 15, 15]])
assert_equal(peak.peak_local_max(image, min_distance=10, threshold_rel=0,
exclude_border=False),
exclude_border=0),
[[5, 5, 5, 5], [15, 15, 15, 15]])
assert_equal(peak.peak_local_max(image, min_distance=5, threshold_rel=0),
[[5, 5, 5, 5], [15, 15, 15, 15]])