mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-01 10:02:04 +08:00
Steven Silvester
0e61374a89
Add a helper function to check for low contrast Add a check for low contrast when using imsave Use the low contrast helper in imshow and make sure warnings are always shown Clean up parameter names and add doctests Remove unnecessary warning context Remove unnecessary warning context Add dtype ranges for 64bit types Update tests with new warnings Fix doctest logic Fix doctest logic Add a low contrast test with multiple dtypes Fix check for color images Fix color check again Add support for int32 types Relax assertion for 32bit builds Add a low contrast test with multiple dtypes Add a low contrast test with multiple dtypes Fix check for color images Fix color check again Add support for int32 types
239 lines
6.8 KiB
Python
239 lines
6.8 KiB
Python
import os.path
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import numpy as np
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from numpy.testing import (
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assert_array_equal, assert_array_almost_equal, assert_raises,
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assert_allclose, run_module_suite)
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from tempfile import NamedTemporaryFile
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from ... import data_dir
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from .. import (imread, imsave, use_plugin, reset_plugins,
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Image as ioImage)
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from ..._shared.testing import mono_check, color_check
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from ..._shared._warnings import expected_warnings
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from six import BytesIO
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from PIL import Image
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from .._plugins.pil_plugin import (
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pil_to_ndarray, ndarray_to_pil, _palette_is_grayscale)
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from ...measure import structural_similarity as ssim
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from ...color import rgb2lab
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def setup():
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use_plugin('pil')
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def teardown():
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reset_plugins()
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def setup_module(self):
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"""The effect of the `plugin.use` call may be overridden by later imports.
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Call `use_plugin` directly before the tests to ensure that PIL is used.
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"""
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try:
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use_plugin('pil')
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except ImportError:
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pass
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def test_imread_flatten():
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# a color image is flattened
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img = imread(os.path.join(data_dir, 'color.png'), flatten=True)
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assert img.ndim == 2
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assert img.dtype == np.float64
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img = imread(os.path.join(data_dir, 'camera.png'), flatten=True)
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# check that flattening does not occur for an image that is grey already.
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assert np.sctype2char(img.dtype) in np.typecodes['AllInteger']
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def test_imread_palette():
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img = imread(os.path.join(data_dir, 'palette_gray.png'))
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assert img.ndim == 2
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img = imread(os.path.join(data_dir, 'palette_color.png'))
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assert img.ndim == 3
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def test_palette_is_gray():
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gray = Image.open(os.path.join(data_dir, 'palette_gray.png'))
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assert _palette_is_grayscale(gray)
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color = Image.open(os.path.join(data_dir, 'palette_color.png'))
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assert not _palette_is_grayscale(color)
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def test_bilevel():
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expected = np.zeros((10, 10))
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expected[::2] = 255
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img = imread(os.path.join(data_dir, 'checker_bilevel.png'))
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assert_array_equal(img, expected)
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def test_imread_uint16():
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expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
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img = imread(os.path.join(data_dir, 'chessboard_GRAY_U16.tif'))
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assert np.issubdtype(img.dtype, np.uint16)
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assert_array_almost_equal(img, expected)
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def test_repr_png():
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img_path = os.path.join(data_dir, 'camera.png')
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original_img = ioImage(imread(img_path))
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original_img_str = original_img._repr_png_()
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with NamedTemporaryFile(suffix='.png') as temp_png:
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temp_png.write(original_img_str)
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temp_png.seek(0)
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round_trip = imread(temp_png)
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assert np.all(original_img == round_trip)
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def test_imread_truncated_jpg():
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assert_raises((IOError, ValueError), imread,
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os.path.join(data_dir, 'truncated.jpg'))
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def test_imread_uint16_big_endian():
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expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
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img = imread(os.path.join(data_dir, 'chessboard_GRAY_U16B.tif'))
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assert img.dtype == np.uint16
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assert_array_almost_equal(img, expected)
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class TestSave:
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def roundtrip_file(self, x):
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f = NamedTemporaryFile(suffix='.png')
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fname = f.name
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f.close()
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imsave(fname, x)
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y = imread(fname)
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return y
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def roundtrip_pil_image(self, x):
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pil_image = ndarray_to_pil(x)
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y = pil_to_ndarray(pil_image)
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return y
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def verify_roundtrip(self, dtype, x, y, scaling=1):
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assert_array_almost_equal((x * scaling).astype(np.int32), y)
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def verify_imsave_roundtrip(self, roundtrip_function):
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for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
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for dtype in (np.uint8, np.uint16, np.float32, np.float64):
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x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
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if np.issubdtype(dtype, float):
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yield (self.verify_roundtrip, dtype, x,
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roundtrip_function(x), 255)
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else:
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x = (x * 255).astype(dtype)
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yield (self.verify_roundtrip, dtype, x,
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roundtrip_function(x))
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def test_imsave_roundtrip_file(self):
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self.verify_imsave_roundtrip(self.roundtrip_file)
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def test_imsave_roundtrip_pil_image(self):
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self.verify_imsave_roundtrip(self.roundtrip_pil_image)
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def test_imsave_filelike():
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shape = (2, 2)
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image = np.zeros(shape)
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s = BytesIO()
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# save to file-like object
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with expected_warnings(['precision loss|unclosed file',
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'is a low contrast image']):
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imsave(s, image)
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# read from file-like object
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s.seek(0)
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out = imread(s)
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assert out.shape == shape
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assert_allclose(out, image)
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def test_imexport_imimport():
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shape = (2, 2)
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image = np.zeros(shape)
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with expected_warnings(['precision loss']):
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pil_image = ndarray_to_pil(image)
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out = pil_to_ndarray(pil_image)
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assert out.shape == shape
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def test_all_color():
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color_check('pil')
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color_check('pil', 'bmp')
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def test_all_mono():
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mono_check('pil')
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mono_check('pil', 'tiff')
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def test_multi_page_gif():
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img = imread(os.path.join(data_dir, 'no_time_for_that.gif'))
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assert img.shape == (24, 280, 500, 3), img.shape
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img2 = imread(os.path.join(data_dir, 'no_time_for_that.gif'),
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img_num=5)
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assert img2.shape == (280, 500, 3)
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assert_allclose(img[5], img2)
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def test_cmyk():
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ref = imread(os.path.join(data_dir, 'color.png'))
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img = Image.open(os.path.join(data_dir, 'color.png'))
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img = img.convert('CMYK')
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f = NamedTemporaryFile(suffix='.jpg')
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fname = f.name
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f.close()
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img.save(fname)
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try:
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img.close()
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except AttributeError: # `close` not available on PIL
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pass
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new = imread(fname)
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ref_lab = rgb2lab(ref)
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new_lab = rgb2lab(new)
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for i in range(3):
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newi = np.ascontiguousarray(new_lab[:, :, i])
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refi = np.ascontiguousarray(ref_lab[:, :, i])
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sim = ssim(refi, newi, dynamic_range=refi.max() - refi.min())
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assert sim > 0.99
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class TestSaveTIF:
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def roundtrip(self, dtype, x):
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f = NamedTemporaryFile(suffix='.tif')
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fname = f.name
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f.close()
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imsave(fname, x)
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y = imread(fname)
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assert_array_equal(x, y)
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def test_imsave_roundtrip(self):
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for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
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for dtype in (np.uint8, np.uint16, np.int16, np.float32,
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np.float64, np.bool):
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x = np.random.rand(*shape)
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if not np.issubdtype(dtype, float) and not dtype == np.bool:
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x = (x * np.iinfo(dtype).max).astype(dtype)
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else:
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x = x.astype(dtype)
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yield self.roundtrip, dtype, x
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if __name__ == "__main__":
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run_module_suite()
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