本文整理匯總了Python中scipy.ndimage.grey_dilation方法的典型用法代碼示例。如果您正苦於以下問題：Python ndimage.grey_dilation方法的具體用法？Python ndimage.grey_dilation怎麽用？Python ndimage.grey_dilation使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類scipy.ndimage的用法示例。
在下文中一共展示了ndimage.grey_dilation方法的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: damage_mask
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def damage_mask(mask, scale_factor, shift_absolute, shift_factor):
assert not (shift_absolute != 0.0 and shift_factor != 0.0)
mask = mask.astype("float32")
if shift_absolute != 0.0:
mask = shift_mask_speed_absolute(mask, max_speed=shift_absolute)
elif shift_factor != 0.0:
mask = shift_mask_speed_factor(mask, factor=shift_factor)
if scale_factor != 0.0:
scale = numpy.random.uniform(1 - scale_factor, 1 + scale_factor)
mask = scale_mask(mask, scale)
# dilation_size = 5
# mask = grey_dilation(mask, size=(dilation_size, dilation_size, 1))
return mask 示例2: generate_weight_map
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def generate_weight_map(weight_map,heatmap):
k_size = 3
dilate = ndimage.grey_dilation(heatmap ,size=(k_size,k_size))
weight_map[np.where(dilate>0.2)] = 1
return weight_map 示例3: get_skeleton
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def get_skeleton(self):
return ndi.grey_dilation(self.img_skl, size=2) 示例4: test_grey_dilation01
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_grey_dilation01(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[0, 1, 1], [1, 0, 1]]
output = ndimage.grey_dilation(array,
footprint=footprint)
assert_array_almost_equal([[7, 7, 9, 9, 5],
[7, 9, 8, 9, 7],
[8, 8, 8, 7, 7]], output) 示例5: test_grey_dilation02
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_grey_dilation02(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[0, 1, 1], [1, 0, 1]]
structure = [[0, 0, 0], [0, 0, 0]]
output = ndimage.grey_dilation(array,
footprint=footprint, structure=structure)
assert_array_almost_equal([[7, 7, 9, 9, 5],
[7, 9, 8, 9, 7],
[8, 8, 8, 7, 7]], output) 示例6: test_grey_dilation03
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_grey_dilation03(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[0, 1, 1], [1, 0, 1]]
structure = [[1, 1, 1], [1, 1, 1]]
output = ndimage.grey_dilation(array,
footprint=footprint, structure=structure)
assert_array_almost_equal([[8, 8, 10, 10, 6],
[8, 10, 9, 10, 8],
[9, 9, 9, 8, 8]], output) 示例7: test_grey_opening01
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_grey_opening01(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[1, 0, 1], [1, 1, 0]]
tmp = ndimage.grey_erosion(array, footprint=footprint)
expected = ndimage.grey_dilation(tmp, footprint=footprint)
output = ndimage.grey_opening(array,
footprint=footprint)
assert_array_almost_equal(expected, output) 示例8: test_grey_opening02
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_grey_opening02(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[1, 0, 1], [1, 1, 0]]
structure = [[0, 0, 0], [0, 0, 0]]
tmp = ndimage.grey_erosion(array, footprint=footprint,
structure=structure)
expected = ndimage.grey_dilation(tmp, footprint=footprint,
structure=structure)
output = ndimage.grey_opening(array,
footprint=footprint, structure=structure)
assert_array_almost_equal(expected, output) 示例9: test_grey_closing02
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_grey_closing02(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[1, 0, 1], [1, 1, 0]]
structure = [[0, 0, 0], [0, 0, 0]]
tmp = ndimage.grey_dilation(array, footprint=footprint,
structure=structure)
expected = ndimage.grey_erosion(tmp, footprint=footprint,
structure=structure)
output = ndimage.grey_closing(array,
footprint=footprint, structure=structure)
assert_array_almost_equal(expected, output) 示例10: test_morphological_gradient01
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_morphological_gradient01(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[1, 0, 1], [1, 1, 0]]
structure = [[0, 0, 0], [0, 0, 0]]
tmp1 = ndimage.grey_dilation(array,
footprint=footprint, structure=structure)
tmp2 = ndimage.grey_erosion(array, footprint=footprint,
structure=structure)
expected = tmp1 - tmp2
output = numpy.zeros(array.shape, array.dtype)
ndimage.morphological_gradient(array,
footprint=footprint, structure=structure, output=output)
assert_array_almost_equal(expected, output) 示例11: test_morphological_gradient02
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_morphological_gradient02(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[1, 0, 1], [1, 1, 0]]
structure = [[0, 0, 0], [0, 0, 0]]
tmp1 = ndimage.grey_dilation(array,
footprint=footprint, structure=structure)
tmp2 = ndimage.grey_erosion(array, footprint=footprint,
structure=structure)
expected = tmp1 - tmp2
output = ndimage.morphological_gradient(array,
footprint=footprint, structure=structure)
assert_array_almost_equal(expected, output) 示例12: test_morphological_laplace01
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_morphological_laplace01(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[1, 0, 1], [1, 1, 0]]
structure = [[0, 0, 0], [0, 0, 0]]
tmp1 = ndimage.grey_dilation(array,
footprint=footprint, structure=structure)
tmp2 = ndimage.grey_erosion(array, footprint=footprint,
structure=structure)
expected = tmp1 + tmp2 - 2 * array
output = numpy.zeros(array.shape, array.dtype)
ndimage.morphological_laplace(array, footprint=footprint,
structure=structure, output=output)
assert_array_almost_equal(expected, output) 示例13: test_morphological_laplace02
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_morphological_laplace02(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[1, 0, 1], [1, 1, 0]]
structure = [[0, 0, 0], [0, 0, 0]]
tmp1 = ndimage.grey_dilation(array,
footprint=footprint, structure=structure)
tmp2 = ndimage.grey_erosion(array, footprint=footprint,
structure=structure)
expected = tmp1 + tmp2 - 2 * array
output = ndimage.morphological_laplace(array,
footprint=footprint, structure=structure)
assert_array_almost_equal(expected, output) 示例14: test_dilation_scalar_size
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_dilation_scalar_size(self):
result = ndimage.grey_dilation(self.array, size=3)
assert_array_almost_equal(result, self.dilated3x3) 示例15: test_grey_dilation01
# 需要導入模塊: from scipy import ndimage [as 別名]
# 或者: from scipy.ndimage import grey_dilation [as 別名]
def test_grey_dilation01(self):
array = numpy.array([[3, 2, 5, 1, 4],
[7, 6, 9, 3, 5],
[5, 8, 3, 7, 1]])
footprint = [[0, 1, 1], [1, 0, 1]]
output = ndimage.grey_dilation(array, footprint=footprint)
assert_array_almost_equal([[7, 7, 9, 9, 5],
[7, 9, 8, 9, 7],
[8, 8, 8, 7, 7]], output)