def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
new_width, new_height = self.calculate((image_width, image_height))
if (new_width, new_height) == (image_width, image_height):
return image.copy()
if not areas:
x1 = int((image_width - new_width) / 2)
y1 = int((image_height - new_height) / 2)
else:
min_penalty = None
optimal_coords = None
for x in xrange(image_width - new_width + 1):
for y in xrange(image_height - new_height + 1):
penalty = 0
for area in areas:
penalty += self._get_penalty(area, x, y,
new_width, new_height)
if min_penalty is not None and penalty > min_penalty:
break
if min_penalty is None or penalty < min_penalty:
min_penalty = penalty
optimal_coords = [(x, y)]
elif penalty == min_penalty:
optimal_coords.append((x, y))
x1, y1 = optimal_coords[0]
x2 = x1 + new_width
y2 = y1 + new_height
return image.crop((x1, y1, x2, y2))
def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
new_width, new_height = self.calculate((image_width, image_height))
if (new_width, new_height) == (image_width, image_height):
return image.copy()
if not areas:
x1 = int((image_width - new_width) / 2)
y1 = int((image_height - new_height) / 2)
else:
min_penalty = None
optimal_coords = None
for x in xrange(image_width - new_width + 1):
for y in xrange(image_height - new_height + 1):
penalty = 0
for area in areas:
penalty += self._get_penalty(area, x, y, new_width,
new_height)
if min_penalty is not None and penalty > min_penalty:
break
if min_penalty is None or penalty < min_penalty:
min_penalty = penalty
optimal_coords = [(x, y)]
elif penalty == min_penalty:
optimal_coords.append((x, y))
x1, y1 = optimal_coords[0]
x2 = x1 + new_width
y2 = y1 + new_height
return image.crop((x1, y1, x2, y2))
def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
new_width, new_height = self.calculate((image_width, image_height))
if (new_width, new_height) == (image_width, image_height):
return image.copy()
ratiocrop = RatioCrop(ratio="{0}:{1}".format(new_width, new_height))
new_image = ratiocrop.adjust(image, areas=areas)
fit = Fit(width=new_width, height=new_height)
return fit.adjust(new_image)
def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
new_width, new_height = self.calculate((image_width, image_height))
if (new_width, new_height) == (image_width, image_height):
return image.copy()
ratiocrop = RatioCrop(ratio="{0}:{1}".format(new_width, new_height))
new_image = ratiocrop.adjust(image, areas=areas)
fit = Fit(width=new_width, height=new_height)
return fit.adjust(new_image)
def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
if not areas:
return image.copy()
for area in areas:
if area.name == self.kwargs['name']:
break
else:
return image.copy()
return image.crop((area.x1, area.y1, area.x2, area.y2))
def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
if not areas:
return image.copy()
for area in areas:
if area.name == self.kwargs['name']:
break
else:
return image.copy()
return image.crop((area.x1, area.y1,
area.x2, area.y2))
def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
new_width, new_height = self.calculate((image_width, image_height))
if (new_width, new_height) == (image_width, image_height):
return image.copy()
# Choose a resize filter based on whether
# we're upscaling or downscaling.
if new_width < image_width:
f = Image.ANTIALIAS
else:
f = Image.BICUBIC
return exif_aware_resize(image, (new_width, new_height), f)
def adjust(self, image, areas=None):
image_width, image_height = exif_aware_size(image)
new_width, new_height = self.calculate((image_width, image_height))
if (new_width, new_height) == (image_width, image_height):
return image.copy()
# Choose a resize filter based on whether
# we're upscaling or downscaling.
if new_width < image_width:
f = Image.ANTIALIAS
else:
f = Image.BICUBIC
return exif_aware_resize(image, (new_width, new_height), f)
def test_exif_not_rotated(self):
image = Image.open(self._data_path('20x7_exif_not_rotated.jpg'))
self.assertEqual(exif_aware_size(image), self.ORIGINAL_ORIENTATION)
def test_non_exif(self):
image = Image.open(self._data_path('20x7_no_exif.png'))
self.assertEqual(exif_aware_size(image), self.ORIGINAL_ORIENTATION)
def test_exif_rotated(self):
image = Image.open(self._data_path('20x7_exif_rotated.jpg'))
self.assertEqual(exif_aware_size(image), self.ROTATED_ORIENTATION)
def test_non_exif(self):
image = Image.open(self._data_path('20x7_no_exif.png'))
self.assertEqual(exif_aware_size(image), self.ORIGINAL_ORIENTATION)