This commit is contained in:
Stefan van der Walt
2009-11-01 13:04:06 +02:00
4 changed files with 42 additions and 0 deletions
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+28
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@@ -34,6 +34,34 @@ def imread(fname, flatten=False, dtype=None):
" instructions.")
im = Image.open(fname)
if im.mode == 'P':
if palette_is_grayscale(im):
im = im.convert('L')
else:
im = im.convert('RGB')
if flatten and not im.mode in ('1', 'L', 'I', 'F', 'I;16', 'I;16L', 'I;16B'):
im = im.convert('F')
return np.array(im, dtype=dtype)
def palette_is_grayscale(pil_image):
"""Return True if PIL image in palette mode is grayscale.
Parameters
----------
pil_image : PIL image
PIL Image that is in Palette mode.
Returns
-------
is_grayscale : bool
True if all colors in image palette are gray.
"""
assert pil_image.mode == 'P'
# get palette as an array with R, G, B columns
palette = np.asarray(pil_image.getpalette()).reshape((256, 3))
# Not all palette colors are used; unused colors have junk values.
start, stop = pil_image.getextrema()
valid_palette = palette[start:stop]
# Image is grayscale if channel differences (R - G and G - B) are all zero.
return np.allclose(np.diff(valid_palette), 0)
+14
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@@ -3,6 +3,7 @@ import numpy as np
from scikits.image import data_dir
from scikits.image.io import imread
from scikits.image.io.pil_imread import palette_is_grayscale
def test_imread_flatten():
# a color image is flattened and returned as float32
@@ -15,3 +16,16 @@ def test_imread_flatten():
def test_imread_dtype():
img = imread(os.path.join(data_dir, 'camera.png'), dtype=np.float64)
assert img.dtype == np.float64
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)