Resize images to size using bicubic interpolation.
tf.raw_ops.ResizeBicubic(
images, size, align_corners=False, half_pixel_centers=False, name=None
)
Input images can be of different types but output images are always float.
Args | |
|---|---|
images
|
A Tensor. Must be one of the following types: int8, uint8, int16, uint16, int32, int64, half, float32, float64.
4-D with shape [batch, height, width, channels].
|
size
|
A 1-D int32 Tensor of 2 elements: new_height, new_width. The
new size for the images.
|
align_corners
|
An optional bool. Defaults to False.
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.
|
half_pixel_centers
|
An optional bool. Defaults to False.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type float32.
|