def get_cropped_index(self):
if self.crop_index is None:
nu, self.crop_index = nputils.crop_threshold(
self.get_mask(), output_index=True)
return self.crop_index
def test_region_image():
m2 = np.zeros([5, 5])
m2[2:3, 2:4] = 1
img1 = imgutils.gaussian(100, width=6, angle=-0.5, center=[70, 55])
img1[img1 < 0.1] = 0
seg1, index = nputils.crop_threshold(img1, output_index=True)
region1 = imgutils.ImageRegion(img1, index)
assert np.allclose(region1.get_region(), seg1)
assert np.allclose(region1.get_data(), img1)
assert region1.get_shape() == img1.shape
assert region1.get_shift() == [0, 0]
assert region1.get_index() == index
assert list(region1.get_center()) == [70, 55]
region1.set_shift([-5, -4])
img2 = imgutils.gaussian(100, width=6, angle=-0.5, center=[65, 51])
img2[img2 < 0.1] = 0
seg2, index2 = nputils.crop_threshold(img2, output_index=True)
assert np.allclose(region1.get_region(), seg2)
assert np.allclose(region1.get_data(), img2)
assert list(region1.get_center()) == [65, 51], region1.get_center()
region1.set_shift([-70, 10])
img3 = imgutils.gaussian(100, width=6, angle=-0.5, center=[0, 65])
img3[img3 < 0.1] = 0
seg3, index = nputils.crop_threshold(img3, output_index=True)
assert np.allclose(region1.get_region(), seg3)
assert np.allclose(region1.get_data(), img3)
assert list(region1.get_center()) == [0 + 6 / 2, 65]
region1.set_shift([30, 10])
img3 = imgutils.gaussian(100, width=6, angle=-0.5, center=[100, 65])
img3[img3 < 0.1] = 0
seg3, index = nputils.crop_threshold(img3, output_index=True)
assert np.allclose(region1.get_region(), seg3)
assert np.allclose(region1.get_data(), img3)
assert list(region1.get_center()) == [100 - 5 / 2, 65], (region1.get_center(), seg3.shape)
region1.set_shift([20, 10])
img3 = imgutils.gaussian(100, width=6, angle=-0.5, center=[90, 65])
img3[img3 < 0.1] = 0
seg3, index = nputils.crop_threshold(img3, output_index=True)
assert np.allclose(region1.get_region(), seg3)
assert np.allclose(region1.get_data(), img3)
assert list(region1.get_center()) == [90, 65]
region2 = imgutils.ImageRegion(img2, index2)
builder = imgutils.ImageBuilder()
builder.add(region1)
builder.add(region2)
res = builder.get()
seg4, index = nputils.crop_threshold(img2 + img3, output_index=True)
assert res.get_shape() == img1.shape
assert np.allclose(res.get_data(), img3 + img2)
assert np.allclose(res.get_region(), seg4)
assert res.get_index() == index
def test_region_image():
m2 = np.zeros([5, 5])
m2[2:3, 2:4] = 1
img1 = imgutils.gaussian(100, width=6, angle=-0.5, center=[70, 55])
img1[img1 < 0.1] = 0
seg1, index = nputils.crop_threshold(img1, output_index=True)
region1 = imgutils.ImageRegion(img1, index)
assert np.allclose(region1.get_region(), seg1)
assert np.allclose(region1.get_data(), img1)
assert region1.get_shape() == img1.shape
assert region1.get_shift() == [0, 0]
assert region1.get_index() == index
assert list(region1.get_center()) == [70, 55]
region1.set_shift([-5, -4])
img2 = imgutils.gaussian(100, width=6, angle=-0.5, center=[65, 51])
img2[img2 < 0.1] = 0
seg2, index2 = nputils.crop_threshold(img2, output_index=True)
assert np.allclose(region1.get_region(), seg2)
assert np.allclose(region1.get_data(), img2)
assert list(region1.get_center()) == [65, 51], region1.get_center()
region1.set_shift([-70, 10])
img3 = imgutils.gaussian(100, width=6, angle=-0.5, center=[0, 65])
img3[img3 < 0.1] = 0
seg3, index = nputils.crop_threshold(img3, output_index=True)
assert np.allclose(region1.get_region(), seg3)
assert np.allclose(region1.get_data(), img3)
assert list(region1.get_center()) == [0 + 6 / 2, 65]
region1.set_shift([30, 10])
img3 = imgutils.gaussian(100, width=6, angle=-0.5, center=[100, 65])
img3[img3 < 0.1] = 0
seg3, index = nputils.crop_threshold(img3, output_index=True)
assert np.allclose(region1.get_region(), seg3)
assert np.allclose(region1.get_data(), img3)
assert list(region1.get_center()) == [100 - 5 / 2, 65
], (region1.get_center(), seg3.shape)
region1.set_shift([20, 10])
img3 = imgutils.gaussian(100, width=6, angle=-0.5, center=[90, 65])
img3[img3 < 0.1] = 0
seg3, index = nputils.crop_threshold(img3, output_index=True)
assert np.allclose(region1.get_region(), seg3)
assert np.allclose(region1.get_data(), img3)
assert list(region1.get_center()) == [90, 65]
region2 = imgutils.ImageRegion(img2, index2)
builder = imgutils.ImageBuilder()
builder.add(region1)
builder.add(region2)
res = builder.get()
seg4, index = nputils.crop_threshold(img2 + img3, output_index=True)
assert res.get_shape() == img1.shape
assert np.allclose(res.get_data(), img3 + img2)
assert np.allclose(res.get_region(), seg4)
assert res.get_index() == index
def get_cropped_index(self):
if self.crop_index is None:
nu, self.crop_index = nputils.crop_threshold(self.get_mask(),
output_index=True)
return self.crop_index