本文整理汇总了Python中scipy.ndimage.center_of_mass方法的典型用法代码示例。如果您正苦于以下问题：Python ndimage.center_of_mass方法的具体用法？Python ndimage.center_of_mass怎么用？Python ndimage.center_of_mass使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类scipy.ndimage的用法示例。
在下文中一共展示了ndimage.center_of_mass方法的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: _identify_subpeaks
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def _identify_subpeaks(data):
# Initial identification of subpeaks with minimal minimum distance
data_max = ndimage.filters.maximum_filter(data, 3)
maxima = (data == data_max)
data_min = ndimage.filters.minimum_filter(data, 3)
diff = ((data_max - data_min) > 0)
maxima[diff == 0] = 0
labeled, n_subpeaks = ndimage.label(maxima)
labels_index = range(1, n_subpeaks + 1)
ijk = np.array(ndimage.center_of_mass(data, labeled, labels_index))
ijk = np.round(ijk).astype(int)
vals = np.apply_along_axis(arr=ijk, axis=1, func1d=_get_val,
input_arr=data)
return ijk, vals 示例2: test_center_of_mass01
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass01():
"center of mass 1"
expected = [0.0, 0.0]
for type in types:
input = np.array([[1, 0], [0, 0]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例3: test_center_of_mass02
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass02():
"center of mass 2"
expected = [1, 0]
for type in types:
input = np.array([[0, 0], [1, 0]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例4: test_center_of_mass03
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass03():
"center of mass 3"
expected = [0, 1]
for type in types:
input = np.array([[0, 1], [0, 0]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例5: test_center_of_mass04
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass04():
"center of mass 4"
expected = [1, 1]
for type in types:
input = np.array([[0, 0], [0, 1]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例6: test_center_of_mass05
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass05():
"center of mass 5"
expected = [0.5, 0.5]
for type in types:
input = np.array([[1, 1], [1, 1]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例7: test_center_of_mass07
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass07():
"center of mass 7"
labels = [1, 0]
expected = [0.5, 0.0]
input = np.array([[1, 2], [3, 1]], bool)
output = ndimage.center_of_mass(input, labels)
assert_array_almost_equal(output, expected) 示例8: test_center_of_mass08
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass08():
"center of mass 8"
labels = [1, 2]
expected = [0.5, 1.0]
input = np.array([[5, 2], [3, 1]], bool)
output = ndimage.center_of_mass(input, labels, 2)
assert_array_almost_equal(output, expected) 示例9: test_center_of_mass09
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass09():
"center of mass 9"
labels = [1, 2]
expected = [(0.5, 0.0), (0.5, 1.0)]
input = np.array([[1, 2], [1, 1]], bool)
output = ndimage.center_of_mass(input, labels, [1, 2])
assert_array_almost_equal(output, expected) 示例10: test_center_of_mass01
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass01():
expected = [0.0, 0.0]
for type in types:
input = np.array([[1, 0], [0, 0]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例11: test_center_of_mass02
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass02():
expected = [1, 0]
for type in types:
input = np.array([[0, 0], [1, 0]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例12: test_center_of_mass03
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass03():
expected = [0, 1]
for type in types:
input = np.array([[0, 1], [0, 0]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例13: test_center_of_mass04
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass04():
expected = [1, 1]
for type in types:
input = np.array([[0, 0], [0, 1]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例14: test_center_of_mass05
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass05():
expected = [0.5, 0.5]
for type in types:
input = np.array([[1, 1], [1, 1]], type)
output = ndimage.center_of_mass(input)
assert_array_almost_equal(output, expected) 示例15: test_center_of_mass07
# 需要导入模块: from scipy import ndimage [as 别名]
# 或者: from scipy.ndimage import center_of_mass [as 别名]
def test_center_of_mass07():
labels = [1, 0]
expected = [0.5, 0.0]
input = np.array([[1, 2], [3, 1]], bool)
output = ndimage.center_of_mass(input, labels)
assert_array_almost_equal(output, expected)