tensorflow:: ops:: ResizeBicubic

Resize images to size using bicubic interpolation.

Summary

Input images can be of different types but output images are always float.

Args:

• scope: A Scope object
• images: 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.

Optional attributes (see Attrs ):

• align_corners: 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.

Returns:

• Output : 4-D with shape [batch, new_height, new_width, channels] .

Public attributes

Operation operation

::tensorflow::Output resized_images

Public functions

 ResizeBicubic(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input images,
  ::tensorflow::Input size
)

 ResizeBicubic(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input images,
  ::tensorflow::Input size,
  const ResizeBicubic::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs AlignCorners(
  bool x
)

Attrs HalfPixelCenters(
  bool x
)