def test_sepia_greater_than_1():
im = util.fill((4, 4), [174, 56, 3])
sepiaed_im = css.sepia(im, 2)
sepiaed_im2 = css.sepia(im, 1)
assert list(sepiaed_im.getdata()) == list(sepiaed_im2.getdata())
assert sepiaed_im.size == im.size
assert sepiaed_im.mode == im.mode
def test_sepia_hsv():
im = util.fill((4, 4), [174, 56, 3])
im2 = im.convert('HSV')
sepiaed_im = css.sepia(im)
sepiaed_im2 = css.sepia(im2)
sepiaed_im2_rgb = sepiaed_im2.convert('RGB')
assert list(sepiaed_im.getdata()) == list(sepiaed_im2_rgb.getdata())
assert sepiaed_im2.size == im2.size
assert sepiaed_im2.mode == im2.mode
def nashville(im):
"""Applies Nashville filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs1 = util.fill(cb.size, [247, 176, 153])
cm1 = ImageChops.darker(cb, cs1)
cm1 = Image.blend(cb, cm1, .56)
cs2 = util.fill(cb.size, [0, 70, 150])
cm2 = ImageChops.lighter(cm1, cs2)
cr = Image.blend(cm1, cm2, .4)
cr = css.sepia(cr, .2)
cr = css.contrast(cr, 1.2)
cr = css.brightness(cr, 1.05)
cr = css.saturate(cr, 1.2)
return cr
def test_sepia_0():
im = util.fill((4, 4), [174, 56, 3])
sepiaed_im = css.sepia(im, 0)
assert list(sepiaed_im.getdata()) == list(im.getdata())
assert sepiaed_im.size == im.size
assert sepiaed_im.mode == im.mode
def rise(im):
"""Applies Rise filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs1 = util.fill(cb.size, [236, 205, 169, .15])
cm1 = css.blending.multiply(cb, cs1)
cs2 = util.fill(cb.size, [50, 30, 7, .4])
cm2 = css.blending.multiply(cb, cs2)
gradient_mask1 = util.radial_gradient_mask(cb.size, length=.55)
cm = Image.composite(cm1, cm2, gradient_mask1)
cs3 = util.fill(cb.size, [232, 197, 152, .8])
cm3 = css.blending.overlay(cm, cs3)
gradient_mask2 = util.radial_gradient_mask(cb.size, scale=.9)
cm_ = Image.composite(cm3, cm, gradient_mask2)
cr = Image.blend(cm, cm_, .6) # opacity
cr = css.brightness(cr, 1.05)
cr = css.sepia(cr, .2)
cr = css.contrast(cr, .9)
cr = css.saturate(cr, .9)
return cr
def xpro2(im):
"""Applies X-pro II filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs1 = util.fill(cb.size, [230, 231, 224])
cs2 = util.fill(cb.size, [43, 42, 161])
cs2 = Image.blend(cb, cs2, .6)
gradient_mask = util.radial_gradient_mask(cb.size, length=.4, scale=1.1)
cs = Image.composite(cs1, cs2, gradient_mask)
# TODO: improve alpha blending
cm1 = css.blending.color_burn(cb, cs)
cm2 = cm1.copy()
cm2 = Image.blend(cb, cm2, .6)
cr = Image.composite(cm1, cm2, gradient_mask)
cr = css.sepia(cr, .3)
return cr
def inkwell(im):
"""Applies Inkwell filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cr = css.sepia(cb, .3)
cr = css.contrast(cr, 1.1)
cr = css.brightness(cr, 1.1)
cr = css.grayscale(cr)
return cr
def brannan(im):
"""Applies Brannan filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.fill(cb.size, [161, 44, 199, .31])
cr = css.blending.lighten(cb, cs)
cr = css.sepia(cr, .5)
cr = css.contrast(cr, 1.4)
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 maven(im):
"""Applies Maven filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.fill(cb.size, [3, 230, 26, .2])
cr = css.blending.hue(cb, cs)
cr = css.sepia(cr, .25)
cr = css.brightness(cr, .95)
cr = css.contrast(cr, .95)
cr = css.saturate(cr, 1.5)
return cr
def valencia(im):
"""Applies Valencia filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.fill(cb.size, [58, 3, 57])
cs = css.blending.exclusion(cb, cs)
cr = Image.blend(cb, cs, .5)
cr = css.contrast(cr, 1.08)
cr = css.brightness(cr, 1.08)
cr = css.sepia(cr, .08)
return cr
def reyes(im):
"""Applies Reyes filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.fill(cb.size, [239, 205, 173])
cs = css.blending.soft_light(cb, cs)
cr = Image.blend(cb, cs, .5)
cr = css.sepia(cr, .22)
cr = css.brightness(cr, 1.1)
cr = css.contrast(cr, .85)
cr = css.saturate(cr, .75)
return cr
def walden(im):
"""Applies Walden filter.
Arguments:
im: An input image.
Returns:
The output image.
"""
cb = util.or_convert(im, 'RGB')
cs = util.fill(cb.size, [0, 68, 204])
cs = ImageChops.screen(cb, cs)
cr = Image.blend(cb, cs, .3)
cr = css.brightness(cr, 1.1)
cr = css.hue_rotate(cr, -10)
cr = css.sepia(cr, .3)
cr = css.saturate(cr, 1.6)
return cr
def test_sepia_less_than_0():
with pytest.raises(AssertionError):
im = util.fill((4, 4), [174, 56, 3])
css.sepia(im, -1)
def test_sepia():
im = util.fill((4, 4), [174, 56, 3])
sepiaed_im = css.sepia(im)
assert sepiaed_im.size == im.size
assert sepiaed_im.mode == im.mode
