def test_radial_gradient_255_to_0():
# this case is the same as radial_gradient_mask
w, h = (5, 5)
gradient = util.radial_gradient((w, h), [[255, 255, 255], [0, 0, 0]])
expected = util.radial_gradient_mask((w, h))
assert list(gradient.getdata(0)) == list(expected.getdata())
assert list(gradient.getdata(1)) == list(expected.getdata())
assert list(gradient.getdata(2)) == list(expected.getdata())
assert gradient.size == (w, h)
assert gradient.mode == 'RGB'
def toaster(im):
"""Applies Toaster filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.radial_gradient(cb.size, [(128, 78, 15), (59, 0, 59)])
cr = css.blending.screen(cb, cs)
cr = css.contrast(cr, 1.5)
cr = css.brightness(cr, .9)
return cr
def earlybird(im):
"""Applies Earlybird filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.radial_gradient(cb.size, [(208, 186, 142), (54, 3, 9),
(29, 2, 16)], [.2, .85, 1])
cr = css.blending.overlay(cb, cs)
cr = css.contrast(cr, .9)
cr = css.sepia(cr, .2)
return cr
def hudson(im):
"""Applies Hudson filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.radial_gradient(cb.size, [(166, 177, 255), (52, 33, 52)],
[.5, 1])
cs = css.blending.multiply(cb, cs)
cr = Image.blend(cb, cs, .5) # opacity
cr = css.brightness(cr, 1.2)
cr = css.contrast(cr, .9)
cr = css.saturate(cr, 1.1)
return cr
def willow(im):
"""Applies Willow filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs1 = util.radial_gradient(cb.size, [(212, 169, 175), (0, 0, 0)],
[.55, 1.5])
cm1 = css.blending.overlay(cb, cs1)
cs2 = util.fill(cb.size, [216, 205, 203])
cr = css.blending.color(cm1, cs2)
cr = css.grayscale(cr, .5)
cr = css.contrast(cr, .95)
cr = css.brightness(cr, .9)
return cr