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RandomCrop

public final class RandomCrop

Randomly crop `image`.

`size` is a 1-D int64 tensor with 2 elements representing the crop height and width. The values must be non negative.

This Op picks a random location in `image` and crops a `height` by `width` rectangle from that location. The random location is picked so the cropped area will fit inside the original image.

Nested Classes

class RandomCrop.Options Optional attributes for RandomCrop

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> RandomCrop<T>	create(Scope scope, Operand<T> image, Operand<TInt64> size, Options... options) Factory method to create a class wrapping a new RandomCrop operation.
Output<T>	output() 3-D of shape `[crop_height, crop_width, channels].`
static RandomCrop.Options	seed(Long seed)
static RandomCrop.Options	seed2(Long seed2)

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: "RandomCrop"

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 RandomCrop<T> create (Scope scope, Operand<T> image, Operand<TInt64> size, Options... options)

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

Parameters

scope	current scope
image	3-D of shape `[height, width, channels]`.
size	1-D of length 2 containing: `crop_height`, `crop_width`..
options	carries optional attributes values

Returns

a new instance of RandomCrop

public Output<T> output ()

3-D of shape `[crop_height, crop_width, channels].`

public static RandomCrop.Options seed (Long seed)

Parameters

seed	If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.

public static RandomCrop.Options seed2 (Long seed2)

Parameters

seed2	An second seed to avoid seed collision.