mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-11 15:33:35 +08:00
Stefan van der Walt
32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
import os.path
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import numpy as np
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from scikits.image import data_dir
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from scikits.image.io import imread
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from scikits.image.io._plugins.pil_plugin import palette_is_grayscale
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def test_imread_flatten():
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# a color image is flattened and returned as float32
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img = imread(os.path.join(data_dir, 'color.png'), flatten=True)
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assert img.dtype == np.float32
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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_dtype():
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img = imread(os.path.join(data_dir, 'camera.png'), dtype=np.float64)
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assert img.dtype == np.float64
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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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