Mojo function

non_max_suppression

non_max_suppression[dtype: DType](boxes: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], scores: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], output: LayoutTensor[DType.int64, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], max_output_boxes_per_class: Int, iou_threshold: Float32, score_threshold: Float32)

Buffer semantic overload.

non_max_suppression[dtype: DType, func: fn(Int64, Int64, Int64) capturing -> None](boxes: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], scores: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], max_output_boxes_per_class: Int, iou_threshold: Float32, score_threshold: Float32)

Implements the NonMaxSuppression operator from the ONNX spec https://github.com/onnx/onnx/blob/main/docs/Operators.md#nonmaxsuppression.

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