# tensorflow::ops::NonMaxSuppressionV3

`#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 with score less than `score_threshold` are removed. 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 and more generally 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, score_threshold) selected_boxes = tf.gather(boxes, selected_indices)

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_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.
- score_threshold: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.

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Returns:

- `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output`: A 1-D integer tensor of shape `[M]` representing the selected indices from the boxes tensor, where `M <= max_output_size`.

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| ### Constructors and Destructors ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/non-max-suppression-v3#classtensorflow_1_1ops_1_1_non_max_suppression_v3_1a17764bb3f4d7a6fa8f7f7b3c62510435(const ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input boxes, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input scores, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input max_output_size, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input iou_threshold, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input score_threshold)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/non-max-suppression-v3#classtensorflow_1_1ops_1_1_non_max_suppression_v3_1a04f4f175f8c0cc6176fb555f9113418d` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/non-max-suppression-v3#classtensorflow_1_1ops_1_1_non_max_suppression_v3_1a31738ea2eda8ca1f5f7581f2379939c2` | `::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/non-max-suppression-v3#classtensorflow_1_1ops_1_1_non_max_suppression_v3_1a116c420004985181682d064631cf727c() const ` | `::tensorflow::Node *` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/non-max-suppression-v3#classtensorflow_1_1ops_1_1_non_max_suppression_v3_1a218f159eb67ca2415aa5dfaf8d566aca() const ` | ` `` ` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/non-max-suppression-v3#classtensorflow_1_1ops_1_1_non_max_suppression_v3_1ad25f25b6aaeed58caf03e3adc092c5f7() const ` | ` `` ` |

## Public attributes

### operation

```
Operation operation
```

### selected_indices

```
::tensorflow::Output selected_indices
```

## Public functions

### NonMaxSuppressionV3

```
 NonMaxSuppressionV3(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input boxes,
  ::tensorflow::Input scores,
  ::tensorflow::Input max_output_size,
  ::tensorflow::Input iou_threshold,
  ::tensorflow::Input score_threshold
)
```

### node

```
::tensorflow::Node * node() const 
```

### operator::tensorflow::Input

```
 operator::tensorflow::Input() const 
```

### operator::tensorflow::Output

```
 operator::tensorflow::Output() const 
```