tensorflow::ops::ResizeBilinear

#include <image_ops.h>

Resize images to size using bilinear 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].

Constructors and Destructors
ResizeBilinear(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size)
ResizeBilinear(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size, const ResizeBilinear::Attrs & attrs)

Public attributes
operation
resized_images

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

Public static functions
AlignCorners(bool x)
HalfPixelCenters(bool x)

Structs
tensorflow::ops::ResizeBilinear::Attrs

Optional attribute setters for ResizeBilinear.

Public attributes

operation

Operation operation

resized_images

::tensorflow::Output resized_images

Public functions

ResizeBilinear

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

ResizeBilinear

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

HalfPixelCenters

Attrs HalfPixelCenters(
  bool x
)