mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 22:37:50 +08:00
Tony S Yu
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
import os.path
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import numpy as np
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from numpy.testing import assert_raises, assert_equal, assert_allclose
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from skimage import data_dir
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from skimage.io.collection import ImageCollection, alphanumeric_key
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def test_string_split():
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test_string = 'z23a'
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test_str_result = ['z', 23, 'a']
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assert_equal(alphanumeric_key(test_string), test_str_result)
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def test_string_sort():
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filenames = ['f9.10.png', 'f9.9.png', 'f10.10.png', 'f10.9.png',
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'e9.png', 'e10.png', 'em.png']
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sorted_filenames = ['e9.png', 'e10.png', 'em.png', 'f9.9.png',
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'f9.10.png', 'f10.9.png', 'f10.10.png']
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sorted_filenames = sorted(filenames, key=alphanumeric_key)
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assert_equal(sorted_filenames, sorted_filenames)
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class TestImageCollection():
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pattern = [os.path.join(data_dir, pic)
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for pic in ['camera.png', 'color.png']]
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pattern_matched = [os.path.join(data_dir, pic)
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for pic in ['camera.png', 'moon.png']]
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def setUp(self):
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# Generic image collection with images of different shapes.
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self.images = ImageCollection(self.pattern)
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# Image collection with images having shapes that match.
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self.images_matched = ImageCollection(self.pattern_matched)
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def test_len(self):
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assert len(self.images) == 2
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def test_getitem(self):
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num = len(self.images)
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for i in range(-num, num):
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assert type(self.images[i]) is np.ndarray
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assert_allclose(self.images[0],
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self.images[-num])
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# assert_raises expects a callable, hence this thin wrapper function.
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def return_img(n):
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return self.images[n]
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assert_raises(IndexError, return_img, num)
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assert_raises(IndexError, return_img, -num - 1)
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def test_slicing(self):
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assert type(self.images[:]) is ImageCollection
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assert len(self.images[:]) == 2
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assert len(self.images[:1]) == 1
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assert len(self.images[1:]) == 1
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assert_allclose(self.images[0], self.images[:1][0])
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assert_allclose(self.images[1], self.images[1:][0])
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assert_allclose(self.images[1], self.images[::-1][0])
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assert_allclose(self.images[0], self.images[::-1][1])
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def test_files_property(self):
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assert isinstance(self.images.files, list)
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def set_files(f):
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self.images.files = f
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assert_raises(AttributeError, set_files, 'newfiles')
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def test_custom_load(self):
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load_pattern = [(1, 'one'), (2, 'two')]
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def load_fn(x):
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return x
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ic = ImageCollection(load_pattern, load_func=load_fn)
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assert_equal(ic[1], (2, 'two'))
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def test_concatenate(self):
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array = self.images_matched.concatenate()
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expected_shape = (len(self.images_matched),) + self.images[0].shape
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assert_equal(array.shape, expected_shape)
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def test_concatentate_mismatched_image_shapes(self):
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assert_raises(ValueError, self.images.concatenate)
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if __name__ == "__main__":
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from numpy.testing import run_module_suite
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run_module_suite()
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