mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-29 06:09:25 +08:00
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from numpy.testing import assert_array_equal, run_module_suite
|
|
from skimage import data
|
|
from skimage.transform import (pyramid_reduce, pyramid_expand,
|
|
pyramid_gaussian, pyramid_laplacian)
|
|
|
|
|
|
image = data.lena()
|
|
|
|
|
|
def test_pyramid_reduce():
|
|
rows, cols, dim = image.shape
|
|
out = pyramid_reduce(image, downscale=2)
|
|
assert_array_equal(out.shape, (rows / 2, cols / 2, dim))
|
|
|
|
|
|
def test_pyramid_expand():
|
|
rows, cols, dim = image.shape
|
|
out = pyramid_expand(image, upscale=2)
|
|
assert_array_equal(out.shape, (rows * 2, cols * 2, dim))
|
|
|
|
|
|
def test_build_gaussian_pyramid():
|
|
rows, cols, dim = image.shape
|
|
pyramid = pyramid_gaussian(image, downscale=2)
|
|
|
|
for layer, out in enumerate(pyramid):
|
|
layer_shape = (rows / 2 ** layer, cols / 2 ** layer, dim)
|
|
assert_array_equal(out.shape, layer_shape)
|
|
|
|
|
|
def test_build_laplacian_pyramid():
|
|
rows, cols, dim = image.shape
|
|
pyramid = pyramid_laplacian(image, downscale=2)
|
|
|
|
for layer, out in enumerate(pyramid):
|
|
layer_shape = (rows / 2 ** layer, cols / 2 ** layer, dim)
|
|
assert_array_equal(out.shape, layer_shape)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
run_module_suite()
|