ImageProjectiveTransformV2

public final class ImageProjectiveTransformV2

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 0.

Nested Classes

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> ImageProjectiveTransformV2<T>
create(Scope scope, Operand<T> images, Operand<TFloat32> transforms, Operand<TInt32> outputShape, String interpolation, Options... options)
Factory method to create a class wrapping a new ImageProjectiveTransformV2 operation.
static ImageProjectiveTransformV2.Options
fillMode(String fillMode)
Output<T>
transformedImages()
4-D with shape `[batch, new_height, new_width, channels]`.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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()
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.
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
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: "ImageProjectiveTransformV2"

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 ImageProjectiveTransformV2<T> create (Scope scope, Operand<T> images, Operand<TFloat32> transforms, Operand<TInt32> outputShape, String interpolation, Options... options)

Factory method to create a class wrapping a new ImageProjectiveTransformV2 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].
interpolation Interpolation method, "NEAREST" or "BILINEAR".
options carries optional attributes values
Returns
  • a new instance of ImageProjectiveTransformV2

public static ImageProjectiveTransformV2.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]`.