mirror of
https://github.com/wassname/scikit-image.git
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55 lines
1.9 KiB
Python
55 lines
1.9 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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from tempfile import NamedTemporaryFile
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from scikits.image import data_dir
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from scikits.image.io import imread, imsave, use_plugin
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from scikits.image.io._plugins.pil_plugin import _palette_is_grayscale
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use_plugin('pil')
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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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from PIL import Image
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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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class TestSave:
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def roundtrip(self, dtype, x, scaling=1):
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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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assert_array_almost_equal((x * scaling).astype(np.int32), 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.float32, np.float64):
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x = np.ones(shape, dtype=dtype) * np.random.random(shape)
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if np.issubdtype(dtype, float):
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yield self.roundtrip, dtype, x, 255
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else:
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x = (x * 255).astype(dtype)
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yield self.roundtrip, dtype, x
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