本文整理汇总了Python中skimage._shared.testing.assert_allclose函数的典型用法代码示例。如果您正苦于以下问题：Python assert_allclose函数的具体用法？Python assert_allclose怎么用？Python assert_allclose使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了assert_allclose函数的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_picture_slice
def test_picture_slice():
array = _array_2d_to_RGBA(np.arange(0, 10)[np.newaxis, :])
pic = novice.Picture(array=array)
x_slice = slice(3, 8)
subpic = pic[:, x_slice]
assert_allclose(subpic.array, array[x_slice, :])示例2: test_multi_page_gif
def test_multi_page_gif():
img = imread(os.path.join(data_dir, 'no_time_for_that_tiny.gif'))
assert img.shape == (24, 25, 14, 3), img.shape
img2 = imread(os.path.join(data_dir, 'no_time_for_that_tiny.gif'),
img_num=5)
assert img2.shape == (25, 14, 3)
assert_allclose(img[5], img2)示例3: check
def check():
expected = self.refs[filter]
result = getattr(rank, filter)(self.image, self.selem)
if filter == "entropy":
# There may be some arch dependent rounding errors
# See the discussions in
# https://github.com/scikit-image/scikit-image/issues/3091
# https://github.com/scikit-image/scikit-image/issues/2528
assert_allclose(expected, result, atol=0, rtol=1E-15)
elif filter == "otsu":
# OTSU May also have some optimization dependent failures
# See the discussions in
# https://github.com/scikit-image/scikit-image/issues/3091
# Pixel 3, 5 was found to be problematic. It can take either
# a value of 41 or 81 depending on the specific optimizations
# used.
assert result[3, 5] in [41, 81]
result[3, 5] = 81
# Pixel [19, 18] is also found to be problematic for the same
# reason.
assert result[19, 18] in [141, 172]
result[19, 18] = 172
assert_array_equal(expected, result)
else:
assert_array_equal(expected, result)示例4: test_prewitt_vertical
def test_prewitt_vertical():
"""Prewitt on a vertical edge should be a vertical line."""
i, j = np.mgrid[-5:6, -5:6]
image = (j >= 0).astype(float)
result = filters.prewitt(image) * np.sqrt(2)
j[np.abs(i) == 5] = 10000
assert_allclose(result[j == 0], 1)
assert_allclose(result[np.abs(j) > 1], 0, atol=1e-10)示例5: test_scharr_vertical
def test_scharr_vertical():
"""Scharr on a vertical edge should be a vertical line."""
i, j = np.mgrid[-5:6, -5:6]
image = (j >= 0).astype(float)
result = filters.scharr(image) * np.sqrt(2)
j[np.abs(i) == 5] = 10000
assert_allclose(result[j == 0], 1)
assert (np.all(result[np.abs(j) > 1] == 0))示例6: test_prewitt_v_vertical
def test_prewitt_v_vertical():
"""Vertical prewitt on an edge should be a vertical line."""
i, j = np.mgrid[-5:6, -5:6]
image = (j >= 0).astype(float)
result = filters.prewitt_v(image)
# Fudge the eroded points
j[np.abs(i) == 5] = 10000
assert (np.all(result[j == 0] == 1))
assert_allclose(result[np.abs(j) > 1], 0, atol=1e-10)示例7: test_4d_input_pixel
def test_4d_input_pixel():
phantom = img_as_float(binary_blobs(length=32, n_dim=4))
reference_image = np.fft.fftn(phantom)
shift = (-2., 1., 5., -3)
shifted_image = fourier_shift(reference_image, shift)
result, error, diffphase = register_translation(reference_image,
shifted_image,
space="fourier")
assert_allclose(result, -np.array(shift), atol=0.05)示例8: test_prewitt_h_horizontal
def test_prewitt_h_horizontal():
"""Horizontal prewitt on an edge should be a horizontal line."""
i, j = np.mgrid[-5:6, -5:6]
image = (i >= 0).astype(float)
result = filters.prewitt_h(image)
# Fudge the eroded points
i[np.abs(j) == 5] = 10000
assert (np.all(result[i == 0] == 1))
assert_allclose(result[np.abs(i) > 1], 0, atol=1e-10)示例9: test_sobel_horizontal
def test_sobel_horizontal():
"""Sobel on a horizontal edge should be a horizontal line."""
i, j = np.mgrid[-5:6, -5:6]
image = (i >= 0).astype(float)
result = filters.sobel(image) * np.sqrt(2)
# Fudge the eroded points
i[np.abs(j) == 5] = 10000
assert_allclose(result[i == 0], 1)
assert (np.all(result[np.abs(i) > 1] == 0))示例10: test_subpixel_precision
def test_subpixel_precision():
reference_image = np.fft.fftn(camera())
subpixel_shift = (-2.4, 1.32)
shifted_image = fourier_shift(reference_image, subpixel_shift)
# subpixel precision
result, error, diffphase = register_translation(reference_image,
shifted_image, 100,
space="fourier")
assert_allclose(result[:2], -np.array(subpixel_shift), atol=0.05)示例11: test_correlation
def test_correlation():
reference_image = np.fft.fftn(camera())
shift = (-7, 12)
shifted_image = fourier_shift(reference_image, shift)
# pixel precision
result, error, diffphase = register_translation(reference_image,
shifted_image,
space="fourier")
assert_allclose(result[:2], -np.array(shift))示例12: test_speckle
def test_speckle():
seed = 42
data = np.zeros((128, 128)) + 0.1
np.random.seed(seed=seed)
noise = np.random.normal(0.1, 0.02 ** 0.5, (128, 128))
expected = np.clip(data + data * noise, 0, 1)
data_speckle = random_noise(data, mode='speckle', seed=seed, mean=0.1,
var=0.02)
assert_allclose(expected, data_speckle)示例13: test_poisson
def test_poisson():
seed = 42
data = camera() # 512x512 grayscale uint8
cam_noisy = random_noise(data, mode='poisson', seed=seed)
cam_noisy2 = random_noise(data, mode='poisson', seed=seed, clip=False)
np.random.seed(seed=seed)
expected = np.random.poisson(img_as_float(data) * 256) / 256.
assert_allclose(cam_noisy, np.clip(expected, 0., 1.))
assert_allclose(cam_noisy2, expected)示例14: test_real_input
def test_real_input():
reference_image = camera()
subpixel_shift = (-2.4, 1.32)
shifted_image = fourier_shift(np.fft.fftn(reference_image), subpixel_shift)
shifted_image = np.fft.ifftn(shifted_image)
# subpixel precision
result, error, diffphase = register_translation(reference_image,
shifted_image, 100)
assert_allclose(result[:2], -np.array(subpixel_shift), atol=0.05)示例15: test_size_one_dimension_input
def test_size_one_dimension_input():
# take a strip of the input image
reference_image = np.fft.fftn(camera()[:, 15]).reshape((-1, 1))
subpixel_shift = (-2.4, 4)
shifted_image = fourier_shift(reference_image, subpixel_shift)
# subpixel precision
result, error, diffphase = register_translation(reference_image,
shifted_image, 100,
space="fourier")
assert_allclose(result[:2], -np.array((-2.4, 0)), atol=0.05)