def random_crop(image, size, seed=None, name=None):
"""Randomly crops `image` to size `[target_height, target_width]`.
The offset of the output within `image` is uniformly random. `image` always
fully contains the result.
Args:
image: 3-D tensor of shape `[height, width, channels]`
size: 1-D tensor with two elements, specifying target `[height, width]`
seed: A Python integer. Used to create a random seed. See
[`set_random_seed`](../../api_docs/python/constant_op.md#set_random_seed)
for behavior.
name: A name for this operation (optional).
Returns:
A cropped 3-D tensor of shape `[target_height, target_width, channels]`.
"""
seed1, seed2 = random_seed.get_seed(seed)
return gen_image_ops.random_crop(image, size, seed=seed1, seed2=seed2, name=name)
def random_crop(image, size, seed=None, name=None):
"""Randomly crops `image` to size `[target_height, target_width]`.
The offset of the output within `image` is uniformly random. `image` always
fully contains the result.
Args:
image: 3-D tensor of shape `[height, width, channels]`
size: 1-D tensor with two elements, specifying target `[height, width]`
seed: A Python integer. Used to create a random seed. See
[`set_random_seed`](../../api_docs/python/constant_op.md#set_random_seed)
for behavior.
name: A name for this operation (optional).
Returns:
A cropped 3-D tensor of shape `[target_height, target_width, channels]`.
"""
seed1, seed2 = random_seed.get_seed(seed)
return gen_image_ops.random_crop(image, size, seed=seed1, seed2=seed2,
name=name)
