org.bytedeco.javacpp

Class tensorflow.NonMaxSuppression

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.NonMaxSuppression

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes. Bounding boxes are supplied as [y1, x1, y2, x2], where (y1, x1) and (y2, x2) are the coordinates of any diagonal pair of box corners and the coordinates can be provided as normalized (i.e., lying in the interval [0, 1]) or absolute. Note that this algorithm is agnostic to where the origin is in the coordinate system. Note that this algorithm is invariant to orthogonal transformations and translations of the coordinate system; thus translating or reflections of the coordinate system result in the same boxes being selected by the algorithm. The output of this operation is a set of integers indexing into the input collection of bounding boxes representing the selected boxes. The bounding box coordinates corresponding to the selected indices can then be obtained using the tf.gather operation. For example: selected_indices = tf.image.non_max_suppression( boxes, scores, max_output_size, iou_threshold) selected_boxes = tf.gather(boxes, selected_indices) Arguments: * scope: A Scope object * boxes: A 2-D float tensor of shape [num_boxes, 4]. * scores: A 1-D float tensor of shape [num_boxes] representing a single score corresponding to each box (each row of boxes). * max_output_size: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression. Optional attributes (see Attrs): * iou_threshold: A float representing the threshold for deciding whether boxes overlap too much with respect to IOU. Returns: * Output: A 1-D integer tensor of shape [M] representing the selected indices from the boxes tensor, where M <= max_output_size.

Nested Class Summary

Nested Classes

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

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
NonMaxSuppression(Pointer p) Pointer cast constructor.
NonMaxSuppression(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size)
NonMaxSuppression(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.NonMaxSuppression.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.NonMaxSuppression.Attrs	IouThreshold(float x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.NonMaxSuppression	operation(tensorflow.Operation operation)
tensorflow.Output	selected_indices()
tensorflow.NonMaxSuppression	selected_indices(tensorflow.Output selected_indices)

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

NonMaxSuppression

public NonMaxSuppression(Pointer p)

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

NonMaxSuppression

public NonMaxSuppression(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input boxes,
                         @ByVal
                         tensorflow.Input scores,
                         @ByVal
                         tensorflow.Input max_output_size)

NonMaxSuppression

public NonMaxSuppression(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input boxes,
                         @ByVal
                         tensorflow.Input scores,
                         @ByVal
                         tensorflow.Input max_output_size,
                         @Const @ByRef
                         tensorflow.NonMaxSuppression.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()

IouThreshold

@ByVal
public static tensorflow.NonMaxSuppression.Attrs IouThreshold(float x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.NonMaxSuppression operation(tensorflow.Operation operation)

selected_indices

@ByRef
public tensorflow.Output selected_indices()

selected_indices

public tensorflow.NonMaxSuppression selected_indices(tensorflow.Output selected_indices)