Resize images to size using the specified method.
tf.compat.v1.image.resize(
images, size, method=ResizeMethodV1.BILINEAR, align_corners=False,
preserve_aspect_ratio=False, name=None
)
Used in the notebooks
Resized images will be distorted if their original aspect ratio is not
the same as size. To avoid distortions see
tf.image.resize_with_pad or tf.image.resize_with_crop_or_pad.
The method can be one of:
The return value has the same type as images if method is
tf.image.ResizeMethod.NEAREST_NEIGHBOR. It will also have the same type
as images if the size of images can be statically determined to be the
same as size, because images is returned in this case. Otherwise, the
return value has type float32.
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 to tf.image.ResizeMethod.BILINEAR.
|
align_corners
|
bool. If True, the centers of the 4 corner pixels of the
input and output tensors are aligned, preserving the values at the corner
pixels. Defaults to False.
|
preserve_aspect_ratio
|
Whether to preserve the aspect ratio. If this is set,
then images will be resized to a size that fits in size while
preserving the aspect ratio of the original image. Scales up the image if
size is bigger than the current size of the image. Defaults to False.
|
name
|
A name for this operation (optional).
|
Raises |
|---|
ValueError
|
if the shape of images is incompatible with the
shape arguments to this function
|
ValueError
|
if size 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].
|
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