ImageProjectiveTransformV3

public final class ImageProjectiveTransformV3

Applies the given transform to each of the images.

If one row of `transforms` is `[a0, a1, a2, b0, b1, b2, c0, c1]`, then it maps the output point `(x, y)` to a transformed input point `(x', y') = ((a0 x + a1 y + a2) / k, (b0 x + b1 y + b2) / k)`, where `k = c0 x + c1 y + 1`. If the transformed point lays outside of the input image, the output pixel is set to fill_value.

Nested Classes

class ImageProjectiveTransformV3.Options Optional attributes for ImageProjectiveTransformV3

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TNumber> ImageProjectiveTransformV3<T>	create(Scope scope, Operand<T> images, Operand<TFloat32> transforms, Operand<TInt32> outputShape, Operand<TFloat32> fillValue, String interpolation, Options... options) Factory method to create a class wrapping a new ImageProjectiveTransformV3 operation.
static ImageProjectiveTransformV3.Options	fillMode(String fillMode)
Output<T>	transformedImages() 4-D with shape `[batch, new_height, new_width, channels]`.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ImageProjectiveTransformV3"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the 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.

public static ImageProjectiveTransformV3<T> create (Scope scope, Operand<T> images, Operand<TFloat32> transforms, Operand<TInt32> outputShape, Operand<TFloat32> fillValue, String interpolation, Options... options)

Factory method to create a class wrapping a new ImageProjectiveTransformV3 operation.

Parameters

scope	current scope
images	4-D with shape `[batch, height, width, channels]`.
transforms	2-D Tensor, `[batch, 8]` or `[1, 8]` matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1. If there is one row, the same transformation will be applied to all images.
outputShape	1-D Tensor [new_height, new_width].
fillValue	float, the value to be filled when fill_mode is constant".
interpolation	Interpolation method, "NEAREST" or "BILINEAR".
options	carries optional attributes values

Returns

a new instance of ImageProjectiveTransformV3

public static ImageProjectiveTransformV3.Options fillMode (String fillMode)

Parameters

fillMode	Fill mode, "REFLECT", "WRAP", or "CONSTANT".

public Output<T> transformedImages ()

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