# tensorflow::ops::NonMaxSuppressionWithOverlaps

`#include <image_ops.h>`

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

## Summary

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](https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_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.

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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-with-overlaps#classtensorflow_1_1ops_1_1_non_max_suppression_with_overlaps_1af965488437d8cbc7c79e1c36eca2abb3(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 overlaps, ::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 overlap_threshold, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input score_threshold)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-with-overlaps#classtensorflow_1_1ops_1_1_non_max_suppression_with_overlaps_1a2f05b95bdafce0c5fc4a8269b35709e3` | `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-with-overlaps#classtensorflow_1_1ops_1_1_non_max_suppression_with_overlaps_1ab9ac497f027b7104d8ba5463a5a487ca` | `::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-with-overlaps#classtensorflow_1_1ops_1_1_non_max_suppression_with_overlaps_1a77c8843216c117ea9cc2597027f4a20e() const ` | `::tensorflow::Node *` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-with-overlaps#classtensorflow_1_1ops_1_1_non_max_suppression_with_overlaps_1a46f0366220ce965998602e5248c93070() const ` | ` `` ` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/non-max-suppression-with-overlaps#classtensorflow_1_1ops_1_1_non_max_suppression_with_overlaps_1a636de2d3e1a950d52efadd9bff02eb59() const ` | ` `` ` |

## Public attributes

### operation

```
Operation operation
```

### selected_indices

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

## Public functions

### NonMaxSuppressionWithOverlaps

```
 NonMaxSuppressionWithOverlaps(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input overlaps,
  ::tensorflow::Input scores,
  ::tensorflow::Input max_output_size,
  ::tensorflow::Input overlap_threshold,
  ::tensorflow::Input score_threshold
)
```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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