org.bytedeco.javacpp

Class tensorflow.NonMaxSuppressionV2

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.NonMaxSuppressionV2

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.NonMaxSuppressionV2
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_v2( 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. * iou_threshold: A 0-D float tensor 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/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
NonMaxSuppressionV2(Pointer p) Pointer cast constructor.
NonMaxSuppressionV2(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.Input iou_threshold)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.NonMaxSuppressionV2	operation(tensorflow.Operation operation)
tensorflow.Output	selected_indices()
tensorflow.NonMaxSuppressionV2	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

NonMaxSuppressionV2

public NonMaxSuppressionV2(Pointer p)

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

NonMaxSuppressionV2

public NonMaxSuppressionV2(@Const @ByRef
                           tensorflow.Scope scope,
                           @ByVal
                           tensorflow.Input boxes,
                           @ByVal
                           tensorflow.Input scores,
                           @ByVal
                           tensorflow.Input max_output_size,
                           @ByVal
                           tensorflow.Input iou_threshold)

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()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.NonMaxSuppressionV2 operation(tensorflow.Operation operation)

selected_indices

@ByRef
public tensorflow.Output selected_indices()

selected_indices

public tensorflow.NonMaxSuppressionV2 selected_indices(tensorflow.Output selected_indices)