|---|---| | [ TensorFlow 2 version](https://www.tensorflow.org/api_docs/python/tf/image/non_max_suppression_overlaps) | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/image_ops_impl.py#L2806-L2848) | 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.image.non_max_suppression_overlaps`](https://www.tensorflow.org/api_docs/python/tf/image/non_max_suppression_overlaps), \`tf.compat.v2.image.non_max_suppression_overlaps\`
tf.image.non_max_suppression_overlaps( overlaps, scores, max_output_size, overlap_threshold=0.5, score_threshold=float('-inf'), name=None ) Prunes away boxes that have high overlap with previously selected boxes. N-by-n overlap values are supplied as square matrix. 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`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/gather) operation. For example: > > selected_indices = tf.image.non_max_suppression_overlaps( > overlaps, scores, max_output_size, iou_threshold) > selected_boxes = tf.gather(boxes, selected_indices)


| ## Args || |---|---| | `overlaps` | A 2-D float `Tensor` of shape `[num_boxes, num_boxes]`. | | `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 float representing the threshold for deciding whether boxes overlap too much with respect to the provided overlap values. | | `score_threshold` | A float representing the threshold for deciding when to remove boxes based on score. | | `name` | A name for the operation (optional). |



| ## Returns || |---|---| | `selected_indices` | A 1-D integer `Tensor` of shape `[M]` representing the selected indices from the overlaps tensor, where `M <= max_output_size`. |