org.bytedeco.javacpp

Class tensorflow.NonMaxSuppressionWithOverlaps

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.NonMaxSuppressionWithOverlaps

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high overlaps with previously selected boxes. Bounding boxes with score less than score_threshold are removed. N-by-n overlap values are supplied as square matrix, which allows for defining a custom overlap criterium (eg. intersection over union, intersection over area, etc.). 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_with_overlaps( overlaps, scores, max_output_size, overlap_threshold, score_threshold) selected_boxes = tf.gather(boxes, selected_indices) Arguments: * scope: A Scope object * overlaps: A 2-D float tensor of shape [num_boxes, num_boxes] representing the n-by-n box overlap values. * 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. * overlap_threshold: A 0-D float tensor representing the threshold for deciding whether boxes overlap too. * score_threshold: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score. 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
NonMaxSuppressionWithOverlaps(Pointer p) Pointer cast constructor.
NonMaxSuppressionWithOverlaps(tensorflow.Scope scope, tensorflow.Input overlaps, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.Input overlap_threshold, tensorflow.Input score_threshold)

Method Summary

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

NonMaxSuppressionWithOverlaps

public NonMaxSuppressionWithOverlaps(Pointer p)

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

NonMaxSuppressionWithOverlaps

public NonMaxSuppressionWithOverlaps(@Const @ByRef
                                     tensorflow.Scope scope,
                                     @ByVal
                                     tensorflow.Input overlaps,
                                     @ByVal
                                     tensorflow.Input scores,
                                     @ByVal
                                     tensorflow.Input max_output_size,
                                     @ByVal
                                     tensorflow.Input overlap_threshold,
                                     @ByVal
                                     tensorflow.Input score_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.NonMaxSuppressionWithOverlaps operation(tensorflow.Operation operation)

selected_indices

@ByRef
public tensorflow.Output selected_indices()

selected_indices

public tensorflow.NonMaxSuppressionWithOverlaps selected_indices(tensorflow.Output selected_indices)