tensorflow::ops::NonMaxSuppression

#include <image_ops.h>

Greedily selects a subset of bounding boxes in descending order of score,.

Summary

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.

Constructors and Destructors

NonMaxSuppression(const ::tensorflow::Scope & scope, ::tensorflow::Input boxes, ::tensorflow::Input scores, ::tensorflow::Input max_output_size)
NonMaxSuppression(const ::tensorflow::Scope & scope, ::tensorflow::Input boxes, ::tensorflow::Input scores, ::tensorflow::Input max_output_size, const NonMaxSuppression::Attrs & attrs)

Public attributes

selected_indices

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions

IouThreshold(float x)

Structs

tensorflow::ops::NonMaxSuppression::Attrs

Optional attribute setters for NonMaxSuppression.

Public attributes

selected_indices

::tensorflow::Output selected_indices

Public functions

NonMaxSuppression

 NonMaxSuppression(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input boxes,
  ::tensorflow::Input scores,
  ::tensorflow::Input max_output_size
)

NonMaxSuppression

 NonMaxSuppression(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input boxes,
  ::tensorflow::Input scores,
  ::tensorflow::Input max_output_size,
  const NonMaxSuppression::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

IouThreshold

Attrs IouThreshold(
  float x
)