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.

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, rescale input by (new_height - 1) / (height - 1), which exactly aligns the 4 corners of images and resized images. If false, rescale by new_height / height. Treat similarly the width dimension.

Returns:

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

Public attributes

::tensorflow::Output resized_images

Public functions

 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
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs AlignCorners(
  bool x
)