Mojo function

non_max_suppression

non_max_suppression[type: DType](boxes: LayoutTensor[type, 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[type, 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[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: SIMD[float32, 1], score_threshold: SIMD[float32, 1])

Buffer semantic overload.

non_max_suppression[: origin.set, //, type: DType, func: fn(SIMD[int64, 1], SIMD[int64, 1], SIMD[int64, 1]) capturing -> None](boxes: LayoutTensor[type, 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[type, 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: SIMD[float32, 1], score_threshold: SIMD[float32, 1])

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

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