Resize images
to size
using bilinear interpolation.
tf.raw_ops.ResizeBilinear(
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 , bfloat16 , half , float32 , float64 , bfloat16 .
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 .
|