org.bytedeco.javacpp

Class tensorflow.ExtractGlimpse

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ExtractGlimpse

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.ExtractGlimpse
extends Pointer

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. Arguments: * scope: A Scope object * 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. Optional attributes (see Attrs): * 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. * normalized: indicates if the offset coordinates are normalized. * uniform_noise: indicates if the noise should be generated using a uniform distribution or a Gaussian distribution. Returns: * Output: A tensor representing the glimpses [batch_size, glimpse_height, glimpse_width, channels].

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.ExtractGlimpse.Attrs Optional attribute setters for ExtractGlimpse

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
ExtractGlimpse(Pointer p) Pointer cast constructor.
ExtractGlimpse(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input offsets)
ExtractGlimpse(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input offsets, tensorflow.ExtractGlimpse.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.ExtractGlimpse.Attrs	Centered(boolean x)
tensorflow.Output	glimpse()
tensorflow.ExtractGlimpse	glimpse(tensorflow.Output glimpse)
tensorflow.Node	node()
static tensorflow.ExtractGlimpse.Attrs	Normalized(boolean x)
tensorflow.Operation	operation()
tensorflow.ExtractGlimpse	operation(tensorflow.Operation operation)
static tensorflow.ExtractGlimpse.Attrs	UniformNoise(boolean x)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ExtractGlimpse

public ExtractGlimpse(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

ExtractGlimpse

public ExtractGlimpse(@Const @ByRef
                      tensorflow.Scope scope,
                      @ByVal
                      tensorflow.Input input,
                      @ByVal
                      tensorflow.Input size,
                      @ByVal
                      tensorflow.Input offsets)

ExtractGlimpse

public ExtractGlimpse(@Const @ByRef
                      tensorflow.Scope scope,
                      @ByVal
                      tensorflow.Input input,
                      @ByVal
                      tensorflow.Input size,
                      @ByVal
                      tensorflow.Input offsets,
                      @Const @ByRef
                      tensorflow.ExtractGlimpse.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

Centered

@ByVal
public static tensorflow.ExtractGlimpse.Attrs Centered(@Cast(value="bool")
                                                               boolean x)

Normalized

@ByVal
public static tensorflow.ExtractGlimpse.Attrs Normalized(@Cast(value="bool")
                                                                 boolean x)

UniformNoise

@ByVal
public static tensorflow.ExtractGlimpse.Attrs UniformNoise(@Cast(value="bool")
                                                                   boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ExtractGlimpse operation(tensorflow.Operation operation)

glimpse

@ByRef
public tensorflow.Output glimpse()

glimpse

public tensorflow.ExtractGlimpse glimpse(tensorflow.Output glimpse)