def test_linear_gradient_mask_vertical():
w, h = (4, 4)
mask = util.linear_gradient_mask((w, h), is_horizontal=False)
assert list(mask.getdata()) == [223] * w + [159] * w + [95] * w + [31] * w
assert mask.size == (w, h)
assert mask.mode == 'L'
def test_linear_gradient_mask_horizontal():
w, h = (4, 4)
mask = util.linear_gradient_mask((w, h))
assert list(mask.getdata()) == [223, 159, 95, 31] * h
assert mask.size == (w, h)
assert mask.mode == 'L'
def test_linear_gradient_mask_prepared_horizontal():
w, h = (4, 4)
mask = util.linear_gradient_mask((w, h))
assert list(mask.getdata()) == [222, 161, 94, 33] * h
assert mask.size == (w, h)
assert mask.mode == 'L'
def test_linear_gradient_mask_start_end():
w, h = (4, 4)
start = 100 / 255
end = 200 / 255
mask = util.linear_gradient_mask((w, h), start=start, end=end)
assert list(mask.getdata()) == [100, 133, 166, 200] * h
assert mask.size == (w, h)
assert mask.mode == 'L'
def test_linear_gradient_mask_start_end_vertical():
w, h = (4, 4)
start = 100 / 255
end = 200 / 255
mask = util.linear_gradient_mask((w, h),
start=start,
end=end,
is_horizontal=False)
expected = [100] * w + [133] * w + [166] * w + [200] * w
assert list(mask.getdata()) == expected
assert mask.size == (w, h)
assert mask.mode == 'L'
def aden(im):
"""Applies Aden filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.fill(cb.size, [66, 10, 14])
cs = ImageChops.darker(cb, cs)
alpha_mask = util.linear_gradient_mask(cb.size, start=.8)
cr = Image.composite(cs, cb, alpha_mask)
cr = css.hue_rotate(cr, -20)
cr = css.contrast(cr, .9)
cr = css.saturate(cr, .85)
cr = css.brightness(cr, 1.2)
return cr