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58 lines
2.0 KiB
58 lines
2.0 KiB
/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef GE_OP_RPN_OPS_H
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#define GE_OP_RPN_OPS_H
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#include "graph/operator_reg.h"
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namespace ge {
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/**
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*@brief Iteratively removes lower scoring boxes which have an IoU greater than
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* iou_threshold with higher scoring box according to their
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* intersection-over-union (IoU).
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*@par Input:
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* @li box_scores: 2-D tensor with shape of [N, 8], including proposal boxes and
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* corresponding confidence scores.
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* @par Attributes:
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* @li iou_threshold: An optional float. The threshold for deciding whether boxes
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* overlap too much with respect to IOU.
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* @par Outputs:
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* @li selected_boxes: 2-D tensor with shape of [N,5], representing filtered
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* boxes including proposal boxes and corresponding confidence scores.
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* @li selected_idx: 1-D tensor with shape of [N], representing the index of
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* input proposal boxes.
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* @li selected_mask: 1-D tensor with shape of [N], the symbol judging whether
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* the output proposal boxes is valid.
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* @attention Constraints:
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* The 2nd-dim of input box_scores must be equal to 8.\n
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* Only supports 2864 input boxes at one time.\n
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*/
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REG_OP(NMSWithMask)
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.INPUT(box_scores, TensorType({DT_FLOAT, DT_FLOAT16}))
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.OUTPUT(selected_boxes, TensorType({DT_FLOAT, DT_FLOAT16}))
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.OUTPUT(selected_idx, TensorType({DT_INT32}))
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.OUTPUT(selected_mask, TensorType({DT_UINT8}))
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.ATTR(iou_threshold, Float, 0.5)
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.OP_END_FACTORY_REG(NMSWithMask)
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} // namespace ge
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#endif // GE_OP_TRAINING_OPS_H
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