tf.image.resize_images
tf.image.resize_images
tf.image.resize_images
resize_images( images, size, method=ResizeMethod.BILINEAR, align_corners=False )
Defined in tensorflow/python/ops/image_ops_impl.py
.
See the guide: Images > Resizing
Resize images
to size
using the specified method
.
Resized images will be distorted if their original aspect ratio is not the same as size
. To avoid distortions see tf.image.resize_image_with_crop_or_pad
.
method
can be one of:
-
ResizeMethod.BILINEAR
: Bilinear interpolation. -
ResizeMethod.NEAREST_NEIGHBOR
: Nearest neighbor interpolation. -
ResizeMethod.BICUBIC
: Bicubic interpolation. -
ResizeMethod.AREA
: Area interpolation.
Args:
-
images
: 4-D Tensor of shape[batch, height, width, channels]
or 3-D Tensor of shape[height, width, channels]
. -
size
: A 1-D int32 Tensor of 2 elements:new_height, new_width
. The new size for the images. -
method
: ResizeMethod. Defaults toResizeMethod.BILINEAR
. -
align_corners
: bool. If true, exactly align all 4 corners of the input and output. Defaults tofalse
.
Raises:
-
ValueError
: if the shape ofimages
is incompatible with the shape arguments to this function -
ValueError
: ifsize
has invalid shape or type. -
ValueError
: if an unsupported resize method is specified.
Returns:
If images
was 4-D, a 4-D float Tensor of shape [batch, new_height, new_width, channels]
. If images
was 3-D, a 3-D float Tensor of shape [new_height, new_width, channels]
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/image/resize_images