# tf.raw_ops.NonMaxSuppression

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.NonMaxSuppression`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/NonMaxSuppression)

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    tf.raw_ops.NonMaxSuppression(
        boxes, scores, max_output_size, iou_threshold=0.5, name=None
    )

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)

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| ## Args ||
|---|---|
| `boxes` | A `Tensor` of type `float32`. A 2-D float tensor of shape `[num_boxes, 4]`. |
| `scores` | A `Tensor` of type `float32`. 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 `Tensor` of type `int32`. A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression. |
| `iou_threshold` | An optional `float`. Defaults to `0.5`. A float representing the threshold for deciding whether boxes overlap too much with respect to IOU. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `int32`. ||

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