ExtractGlimpse

public final class ExtractGlimpse

Extracts a glimpse from the input tensor.

Returns a set of windows called glimpses extracted at location `offsets` from the input tensor. If the windows only partially overlaps the inputs, the non overlapping areas will be filled with random noise.

The result is a 4-D tensor of shape `[batch_size, glimpse_height, glimpse_width, channels]`. The channels and batch dimensions are the same as that of the input tensor. The height and width of the output windows are specified in the `size` parameter.

The argument `normalized` and `centered` controls how the windows are built:

• If the coordinates are normalized but not centered, 0.0 and 1.0 correspond to the minimum and maximum of each height and width dimension.
• If the coordinates are both normalized and centered, they range from -1.0 to 1.0. The coordinates (-1.0, -1.0) correspond to the upper left corner, the lower right corner is located at (1.0, 1.0) and the center is at (0, 0).
• If the coordinates are not normalized they are interpreted as numbers of pixels.

Nested Classes

class

ExtractGlimpse.Options

Optional attributes for ExtractGlimpse

Constants

String

OP_NAME

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

Public Methods

Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
static ExtractGlimpse.Options	centered(Boolean centered)
static ExtractGlimpse	create(Scope scope, Operand<TFloat32> input, Operand<TInt32> size, Operand<TFloat32> offsets, Options... options) Factory method to create a class wrapping a new ExtractGlimpse operation.
Output<TFloat32>	glimpse() A tensor representing the glimpses `[batch_size, glimpse_height, glimpse_width, channels]`.
static ExtractGlimpse.Options	noise(String noise)
static ExtractGlimpse.Options	normalized(Boolean normalized)
static ExtractGlimpse.Options	uniformNoise(Boolean uniformNoise)

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<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
abstract TFloat32	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<TFloat32>	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: "ExtractGlimpseV2"

Public Methods

public Output<TFloat32> 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 ExtractGlimpse.Options centered (Boolean centered)

Parameters

centered	indicates if the offset coordinates are centered relative to the image, in which case the (0, 0) offset is relative to the center of the input images. If false, the (0,0) offset corresponds to the upper left corner of the input images.

public static ExtractGlimpse create (Scope scope, Operand<TFloat32> input, Operand<TInt32> size, Operand<TFloat32> offsets, Options... options)

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

Parameters

scope	current scope
input	A 4-D float tensor of shape `[batch_size, height, width, channels]`.
size	A 1-D tensor of 2 elements containing the size of the glimpses to extract. The glimpse height must be specified first, following by the glimpse width.
offsets	A 2-D integer tensor of shape `[batch_size, 2]` containing the y, x locations of the center of each window.
options	carries optional attributes values

Returns

• a new instance of ExtractGlimpse

public Output<TFloat32> glimpse ()

A tensor representing the glimpses `[batch_size, glimpse_height, glimpse_width, channels]`.

public static ExtractGlimpse.Options noise (String noise)

Parameters

noise	indicates if the noise should `uniform`, `gaussian`, or `zero`. The default is `uniform` which means the the noise type will be decided by `uniform_noise`.

public static ExtractGlimpse.Options normalized (Boolean normalized)

Parameters

normalized	indicates if the offset coordinates are normalized.

public static ExtractGlimpse.Options uniformNoise (Boolean uniformNoise)

Parameters

uniformNoise	indicates if the noise should be generated using a uniform distribution or a Gaussian distribution.