tensorflow::ops::ResizeBicubic

#include <image_ops.h>

Resize images to size using bicubic interpolation.

Summary

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

Arguments:

  • 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].

Constructors and Destructors

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)

Public attributes

resized_images

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions

AlignCorners(bool x)

Structs

tensorflow::ops::ResizeBicubic::Attrs

Optional attribute setters for ResizeBicubic.

Public attributes

resized_images

::tensorflow::Output resized_images

Public functions

ResizeBicubic

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

ResizeBicubic

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

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

AlignCorners

Attrs AlignCorners(
  bool x
)