Python scipy.ndimage.grey_dilation() Examples
The following are 26
code examples of scipy.ndimage.grey_dilation().
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Example #1
| Source File: MaskDamager.py From PReMVOS with MIT License | 6 votes |
|
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
Example #2
| Source File: FCN_CrackAnalysis.py From FCN_for_crack_recognition with MIT License | 5 votes |
|
def get_skeleton(self):
return ndi.grey_dilation(self.img_skl, size=2)
Example #3
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def test_dilation_scalar_size(self):
result = ndimage.grey_dilation(self.array, size=3)
assert_array_almost_equal(result, self.dilated3x3)
Example #4
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #5
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #6
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #7
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #8
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #9
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #10
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #11
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #12
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #13
| Source File: test_ndimage.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
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)
Example #14
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
def test_dilation_scalar_size(self):
result = ndimage.grey_dilation(self.array, size=3)
assert_array_almost_equal(result, self.dilated3x3)
Example #15
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #16
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #17
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #18
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #19
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #20
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #21
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #22
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #23
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #24
| Source File: test_ndimage.py From Computable with MIT License | 5 votes |
|
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)
Example #25
| Source File: utils.py From AdaptiveWingLoss with Apache License 2.0 | 5 votes |
|
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
Example #26
| Source File: dev_Image.py From NodeEditor with MIT License | 4 votes |
|
def run_FreeCAD_ImageT(self):
from scipy import ndimage
fn=self.getData('image')
import matplotlib.image as mpimg
img=mpimg.imread(fn)
(sa,sb,sc)=img.shape
red=0.005*(self.getData("red")+100)
green=0.005*(self.getData("green")+100)
blue=0.005*(self.getData("blue")+100)
#blue=0
say("rgb",red,green,blue)
# andere filtre
#img = ndimage.sobel(img)
#img = ndimage.laplace(img)
im2=img[:,:,0]*red+img[:,:,1]*green+img[:,:,2]*blue
im2=np.round(im2)
if self.getData('invert'):
im2 = 1- im2
#im2 = ndimage.sobel(im2)
ss=int((self.getData('maskSize')+100)/20)
say("ss",ss)
if ss != 0:
mode=self.getData('mode')
say("mode",mode)
if mode=='closing':
im2=ndimage.grey_closing(im2, size=(ss,ss))
elif mode=='opening':
im2=ndimage.grey_opening(im2, size=(ss,ss))
elif mode=='erosion':
im2=ndimage.grey_erosion(im2, size=(ss,ss))
elif mode=='dilitation':
im2=ndimage.grey_dilation(im2, footprint=np.ones((ss,ss)))
else:
say("NO MODE")
nonzes=np.where(im2 == 0)
pts = [FreeCAD.Vector(sb+-x,sa-y) for y,x in np.array(nonzes).swapaxes(0,1)]
h=10
pts = [FreeCAD.Vector(sb+-x,sa-y,(red*img[y,x,0]+green*img[y,x,1]+blue*img[y,x,2])*h) for y,x in np.array(nonzes).swapaxes(0,1)]
colors=[img[y,x] for y,x in np.array(nonzes).swapaxes(0,1)]
say("len pts",len(pts))
self.setData("Points_out",pts)
