def _image_to_list(self, image):
if image.mode != 'RGB':
image = image.convert(mode='RGB')
image = crop(image, **self.get_dict(
'top_offset', 'left_offset', 'bottom_offset', 'right_offset'))
image = resize(
image, **self.get_dict('x', 'y', 'stretch', 'top', 'left'))
return cechomesh.ColorList(image, columns=image.size[0])
def _image_to_list(self, image):
if image.mode != 'RGB':
image = image.convert(mode='RGB')
image = crop(
image,
**self.get_dict('top_offset', 'left_offset', 'bottom_offset',
'right_offset'))
image = resize(image,
**self.get_dict('x', 'y', 'stretch', 'top', 'left'))
return cechomesh.ColorList(image, columns=image.size[0])
def resize(image,
x,
y,
stretch=False,
top=None,
left=None,
mode='RGB',
top_offset=0,
left_offset=0,
bottom_offset=0,
right_offset=0,
resample=None):
if x <= 0:
raise ValueError('x must be greater than zero')
if y <= 0:
raise ValueError('y must be greater than zero')
if resample:
try:
resample = getattr(Image, resample.upper())
except:
raise ValueError("Didn't understand resample=%s" % resample)
else:
resample = Image.ANTIALIAS
image = crop(image, top_offset, left_offset, bottom_offset, right_offset)
size = x, y
if stretch:
return image.resize(size, resample=resample)
result = Image.new(mode, size)
ratios = [d1 / d2 for d1, d2 in zip(size, image.size)]
if ratios[0] < ratios[1]:
new_size = (size[0], int(image.size[1] * ratios[0]))
else:
new_size = (int(image.size[0] * ratios[1]), size[1])
image = image.resize(new_size, resample=resample)
if left is None:
box_x = int((x - new_size[0]) / 2)
elif left:
box_x = 0
else:
box_x = x - new_size[0]
if top is None:
box_y = int((y - new_size[1]) / 2)
elif top:
box_y = 0
else:
box_y = y - new_size[1]
result.paste(image, box=(box_x, box_y))
return result
def resize(image, x, y, stretch=False, top=None, left=None, mode='RGB',
top_offset=0, left_offset=0, bottom_offset=0, right_offset=0,
resample=None):
if x <= 0:
raise ValueError('x must be greater than zero')
if y <= 0:
raise ValueError('y must be greater than zero')
if resample:
try:
resample = getattr(Image, resample.upper())
except:
raise ValueError("Didn't understand resample=%s" % resample)
else:
resample = Image.ANTIALIAS
image = crop(image, top_offset, left_offset, bottom_offset, right_offset)
size = x, y
if stretch:
return image.resize(size, resample=resample)
result = Image.new(mode, size)
ratios = [d1 / d2 for d1, d2 in zip(size, image.size)]
if ratios[0] < ratios[1]:
new_size = (size[0], int(image.size[1] * ratios[0]))
else:
new_size = (int(image.size[0] * ratios[1]), size[1])
image = image.resize(new_size, resample=resample)
if left is None:
box_x = int((x - new_size[0]) / 2)
elif left:
box_x = 0
else:
box_x = x - new_size[0]
if top is None:
box_y = int((y - new_size[1]) / 2)
elif top:
box_y = 0
else:
box_y = y - new_size[1]
result.paste(image, box=(box_x, box_y))
return result
