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Changed tests to begin segment label at 1 instead of 0

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This commit is contained in:
Guillem Palou
2013-12-23 14:44:23 +01:00
committed by guillem
parent e68ab76b24
commit 53a4388e26
1 changed files with 14 additions and 14 deletions
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skimage/segmentation/tests/test_slic.py
+14 -14
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@@ -21,10 +21,10 @@ def test_color_2d():
# we expect 4 segments
assert_equal(len(np.unique(seg)), 4)
assert_equal(seg.shape, img.shape[:-1])
assert_equal(seg[:10, :10], 0)
assert_equal(seg[10:, :10], 2)
assert_equal(seg[:10, 10:], 1)
assert_equal(seg[10:, 10:], 3)
assert_equal(seg[:10, :10], 1)
assert_equal(seg[10:, :10], 3)
assert_equal(seg[:10, 10:], 2)
assert_equal(seg[10:, 10:], 4)
def test_gray_2d():
@@ -41,10 +41,10 @@ def test_gray_2d():
assert_equal(len(np.unique(seg)), 4)
assert_equal(seg.shape, img.shape)
assert_equal(seg[:10, :10], 0)
assert_equal(seg[10:, :10], 2)
assert_equal(seg[:10, 10:], 1)
assert_equal(seg[10:, 10:], 3)
assert_equal(seg[:10, :10], 1)
assert_equal(seg[10:, :10], 3)
assert_equal(seg[:10, 10:], 2)
assert_equal(seg[10:, 10:], 4)
def test_color_3d():
@@ -65,7 +65,7 @@ def test_color_3d():
assert_equal(len(np.unique(seg)), 8)
for s, c in zip(slices, range(8)):
assert_equal(seg[s], c)
assert_equal(seg[s], c+1)
def test_gray_3d():
@@ -87,7 +87,7 @@ def test_gray_3d():
assert_equal(len(np.unique(seg)), 8)
for s, c in zip(slices, range(8)):
assert_equal(seg[s], c)
assert_equal(seg[s], c+1)
def test_list_sigma():
@@ -96,7 +96,7 @@ def test_list_sigma():
[0, 0, 0, 1, 1, 1]], np.float)
img += 0.1 * rnd.normal(size=img.shape)
result_sigma = np.array([[0, 0, 0, 1, 1, 1],
[0, 0, 0, 1, 1, 1]], np.int)
[0, 0, 0, 1, 1, 1]], np.int) + 1
seg_sigma = slic(img, n_segments=2, sigma=[1, 50, 1], multichannel=False)
assert_equal(seg_sigma, result_sigma)
@@ -106,9 +106,9 @@ def test_spacing():
img = np.array([[1, 1, 1, 0, 0],
[1, 1, 0, 0, 0]], np.float)
result_non_spaced = np.array([[0, 0, 0, 1, 1],
[0, 0, 1, 1, 1]], np.int)
[0, 0, 1, 1, 1]], np.int) +1
result_spaced = np.array([[0, 0, 0, 0, 0],
[1, 1, 1, 1, 1]], np.int)
[1, 1, 1, 1, 1]], np.int) + 1
img += 0.1 * rnd.normal(size=img.shape)
seg_non_spaced = slic(img, n_segments=2, sigma=0, multichannel=False,
compactness=1.0)
@@ -120,7 +120,7 @@ def test_spacing():
def test_invalid_lab_conversion():
img = np.array([[1, 1, 1, 0, 0],
[1, 1, 0, 0, 0]], np.float)
[1, 1, 0, 0, 0]], np.float) + 1
assert_raises(ValueError, slic, img, multichannel=True, convert2lab=True)