def put_highlight(image, highlight, resample_highlight, opacity, cache=None):
if cache is None:
cache = {}
resample_highlight = getattr(Image, resample_highlight)
id = 'highlight_%s_w%d_h%d_o%d'\
% (highlight, image.size[0], image.size[1], opacity)
try:
highlight = cache[id]
except KeyError:
highlight = open_image(highlight)\
.convert('RGBA').resize(image.size, resample_highlight)
if opacity < 100:
#apply opacity
highlight_alpha = imtools.get_alpha(highlight)
opacity = (255 * opacity) / 100
highlight.putalpha(ImageMath.eval("convert((a * o) / 255, 'L')",
a=highlight_alpha, o=opacity))
#store in cache
cache[id] = highlight
if not has_transparency(image):
image = image.convert('RGBA')
else:
if has_transparency(image):
image = image.convert('RGBA')
alpha = imtools.get_alpha(image)
highlight = highlight.copy()
highlight_alpha = imtools.get_alpha(highlight)
highlight.putalpha(ImageMath.eval("convert(min(a, b), 'L')",
a=alpha, b=highlight_alpha))
overlay = highlight.convert('RGB')
paste(image, overlay, mask=highlight)
return image
def put_mask(image, mask, resample_mask, cache=None):
if cache is None:
cache = {}
resample_mask = getattr(Image, resample_mask)
id = mask + "_w%d_h%d" % image.size
try:
mask = cache[id]
except KeyError:
mask = cache[id] = open_image(mask).convert("L").resize(image.size, resample_mask)
if not has_transparency(image):
image = image.convert("RGBA")
else:
if has_transparency(image):
image = image.convert("RGBA")
alpha = imtools.get_alpha(image)
mask = ImageMath.eval("convert(min(a, b), 'L')", a=alpha, b=mask)
image.putalpha(mask)
return image
def put_mask(image, mask, resample_mask, cache=None):
if cache is None:
cache = {}
resample_mask = getattr(Image, resample_mask)
id = mask + '_w%d_h%d' % image.size
try:
mask = cache[id]
except KeyError:
mask = cache[id] = open_image(mask).convert('L').resize(
image.size, resample_mask)
if not has_transparency(image):
image = image.convert('RGBA')
else:
if has_transparency(image):
image = image.convert('RGBA')
alpha = imtools.get_alpha(image)
mask = (ImageMath.eval("convert(min(a, b), 'L')", a=alpha, b=mask))
image.putalpha(mask)
return image
