# tensorflow::ops::NonMaxSuppressionV2

`#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_v2( boxes, scores, max_output_size, iou_threshold) selected_boxes = tf.gather(boxes, selected_indices)

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.0/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.

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Returns:

- `https://www.tensorflow.org/versions/r2.0/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/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-v2#classtensorflow_1_1ops_1_1_non_max_suppression_v2_1aa344ba54e3c8ecdf351160841d620b90(const ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input boxes, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input scores, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input max_output_size, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input iou_threshold)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-v2#classtensorflow_1_1ops_1_1_non_max_suppression_v2_1aa5c9890c89f51ea289a417dc96e5155e` | `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-v2#classtensorflow_1_1ops_1_1_non_max_suppression_v2_1abd7f6df70942924aba1f37d144c96bf6` | `::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-v2#classtensorflow_1_1ops_1_1_non_max_suppression_v2_1a74b7fd12711f34637858a5695ed0c654() const ` | `::tensorflow::Node *` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-v2#classtensorflow_1_1ops_1_1_non_max_suppression_v2_1a204a073b24bbf63d20c616abcf020a48() const ` | ` `` ` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-v2#classtensorflow_1_1ops_1_1_non_max_suppression_v2_1aaf3f8cdfaf63a67e5f7afdc2eb714271() const ` | ` `` ` |

## Public attributes

### operation

```
Operation operation
```

### selected_indices

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

## Public functions

### NonMaxSuppressionV2

```
 NonMaxSuppressionV2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input boxes,
  ::tensorflow::Input scores,
  ::tensorflow::Input max_output_size,
  ::tensorflow::Input iou_threshold
)
```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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