Files
scikit-image/scikits/image/io/tests/test_pil.py
T
2011-03-14 00:27:11 +02:00

55 lines
1.9 KiB
Python

import os.path
import numpy as np
from numpy.testing import *
from tempfile import NamedTemporaryFile
from scikits.image import data_dir
from scikits.image.io import imread, imsave, use_plugin
from scikits.image.io._plugins.pil_plugin import _palette_is_grayscale
use_plugin('pil')
def test_imread_flatten():
# a color image is flattened
img = imread(os.path.join(data_dir, 'color.png'), flatten=True)
assert img.ndim == 2
assert img.dtype == np.float64
img = imread(os.path.join(data_dir, 'camera.png'), flatten=True)
# check that flattening does not occur for an image that is grey already.
assert np.sctype2char(img.dtype) in np.typecodes['AllInteger']
def test_imread_palette():
img = imread(os.path.join(data_dir, 'palette_gray.png'))
assert img.ndim == 2
img = imread(os.path.join(data_dir, 'palette_color.png'))
assert img.ndim == 3
def test_palette_is_gray():
from PIL import Image
gray = Image.open(os.path.join(data_dir, 'palette_gray.png'))
assert _palette_is_grayscale(gray)
color = Image.open(os.path.join(data_dir, 'palette_color.png'))
assert not _palette_is_grayscale(color)
class TestSave:
def roundtrip(self, dtype, x, scaling=1):
f = NamedTemporaryFile(suffix='.png')
fname = f.name
f.close()
imsave(fname, x)
y = imread(fname)
assert_array_almost_equal((x * scaling).astype(np.int32), y)
def test_imsave_roundtrip(self):
for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
for dtype in (np.uint8, np.uint16, np.float32, np.float64):
x = np.ones(shape, dtype=dtype) * np.random.random(shape)
if np.issubdtype(dtype, float):
yield self.roundtrip, dtype, x, 255
else:
x = (x * 255).astype(dtype)
yield self.roundtrip, dtype, x