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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> ImageProjectiveTransformV3<T>	create(Scope scope, Operand<T> images, Operand<Float> transforms, Operand<Integer> outputShape, Operand<Float> 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.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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.Operand

abstract Output<T>

asOutput() Returns the symbolic handle of a tensor.

Public Methods

public Output<T> asOutput ()

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.

public static ImageProjectiveTransformV3<T> create (Scope scope, Operand<T> images, Operand<Float> transforms, Operand<Integer> outputShape, Operand<Float> 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", "CONSTANT", or "NEAREST".

public Output<T> transformedImages ()

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