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.
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 |
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ResizeBicubic(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size)
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ResizeBicubic(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size, const ResizeBicubic::Attrs & attrs)
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Public attributes |
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operation
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resized_images
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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AlignCorners(bool x)
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HalfPixelCenters(bool x)
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Structs |
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tensorflow:: |
Optional attribute setters for ResizeBicubic. |
Public attributes
operation
Operation operation
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 )
HalfPixelCenters
Attrs HalfPixelCenters( bool x )