org.tensorflow.op.image

Class ResizeArea

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.image.ResizeArea

All Implemented Interfaces:

Op, Operand<Float>

@Operator(group="image")
public final class ResizeArea
extends PrimitiveOp
implements Operand<Float>

Resize `images` to `size` using area interpolation.

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

The range of pixel values for the output image might be slightly different from the range for the input image because of limited numerical precision. To guarantee an output range, for example `[0.0, 1.0]`, apply `tf.clip_by_value` to the output.

Each output pixel is computed by first transforming the pixel's footprint into the input tensor and then averaging the pixels that intersect the footprint. An input pixel's contribution to the average is weighted by the fraction of its area that intersects the footprint. This is the same as OpenCV's INTER_AREA.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ResizeArea.Options Optional attributes for ResizeArea

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static ResizeArea.Options	alignCorners(Boolean alignCorners)
Output<Float>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> ResizeArea	create(Scope scope, Operand<T> images, Operand<Integer> size, ResizeArea.Options... options) Factory method to create a class wrapping a new ResizeArea operation.
Output<Float>	resizedImages() 4-D with shape `[batch, new_height, new_width, channels]`.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T extends Number> ResizeArea create(Scope scope,
                                                   Operand<T> images,
                                                   Operand<Integer> size,
                                                   ResizeArea.Options... options)

Factory method to create a class wrapping a new ResizeArea operation.

Parameters:

scope - current scope

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.

options - carries optional attributes values

Returns:

a new instance of ResizeArea

alignCorners

public static ResizeArea.Options alignCorners(Boolean alignCorners)

Parameters:

alignCorners - 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.

resizedImages

public Output<Float> resizedImages()

4-D with shape `[batch, new_height, new_width, channels]`.

asOutput

public Output<Float> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

Specified by:

asOutput in interface Operand<Float>

See Also:

OperationBuilder.addInput(Output)