def __call__(self, image, target):
# Pad if needed
ih, iw = get_tensor_image_size(image)
if ih < self.size[0] or iw < self.size[1]:
print(image.size())
print(self.size)
image, target = ZeroPad.zero_pad(image, target,
max(self.size[0], ih),
max(self.size[1], iw))
i, j, h, w = self.get_params(image, self.size)
image = F.crop(image, i, j, h, w)
target = target if type(target) == str else F.crop(target, i, j, h, w)
return image, target
def __call__(self, img, target):
"""
Args:
img (PIL Image): Image to be cropped.
Returns:
PIL Image: Cropped image.
"""
if self.padding > 0:
img = F.pad(img, self.padding)
target = F.pad(target, self.padding)
i, j, h, w = self.get_params(img, self.size)
return F.crop(img, i, j, h, w), F.crop(target, i, j, h, w),
def __call__(self, img):
width, height = self.crop_size
left = random.randint(0, int(img.shape[1] - width))
top = random.randint(0, int(img.shape[0] - height))
if (width > img.shape[1] or height > img.shape[0]):
raise ValueError(
"the output imgage size should be small than input image!!!")
return F.crop(img, top, left, width, height)
def __call__(self, img, label):
"""
Args:
img (PIL Image): Image to be cropped.
Returns:
PIL Image: Cropped image.
"""
if self.padding > 0:
img = F.pad(img, self.padding)
# pad the width if needed
if self.pad_if_needed and img.size[0] < self.size[1]:
img = F.pad(img, (int((1 + self.size[1] - img.size[0]) / 2), 0))
# pad the height if needed
if self.pad_if_needed and img.size[1] < self.size[0]:
img = F.pad(img, (0, int((1 + self.size[0] - img.size[1]) / 2)))
i, j, h, w = self.get_params(img, self.size)
return F.to_tensor(F.crop(img, i, j, h,
w)), F.to_tensor(F.crop(label, i, j, h, w))
def __call__(self, sample):
"""
Args:
img (PIL Image): Image to be cropped.
Returns:
PIL Image: Cropped image.
"""
if self.padding > 0:
sample = F.pad(sample, self.padding)
(img, target) = sample
i, j, h, w = self.get_params(img, self.size)
return F.crop(sample, i, j, h, w)
def __call__(self, img):
"""
Args:
img (numpy ndarray): Image to be cropped.
Returns:
numpy ndarray: Cropped image.
"""
if self.padding is not None:
img = F.pad(img, self.padding, self.fill, self.padding_mode)
# pad the width if needed
if self.pad_if_needed and img.shape[1] < self.size[1]:
img = F.pad(img, (self.size[1] - img.shape[1], 0), self.fill,
self.padding_mode)
# pad the height if needed
if self.pad_if_needed and img.shape[0] < self.size[0]:
img = F.pad(img, (0, self.size[0] - img.shape[0]), self.fill,
self.padding_mode)
i, j, h, w = self.get_params(img, self.size)
return F.crop(img, i, j, h, w)