68 lines
3.4 KiB
C++
68 lines
3.4 KiB
C++
/*
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* Copyright (c) 2019 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSION_LAYER_H
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#define ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSION_LAYER_H
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#include "arm_compute/runtime/CPP/ICPPSimpleFunction.h"
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#include "arm_compute/core/Types.h"
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namespace arm_compute
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{
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class ITensor;
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/** CPP Function to perform non maximum suppression on the bounding boxes and scores
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*
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*/
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class CPPNonMaximumSuppression : public ICPPSimpleFunction
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{
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public:
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/** Configure the function to perform non maximal suppression
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*
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* @param[in] bboxes The input bounding boxes. Data types supported: F32.
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* @param[in] scores The corresponding input confidence. Same as @p bboxes.
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* @param[out] indices The kept indices of bboxes after nms. Data types supported: S32.
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* @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression.
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* @param[in] score_threshold The threshold used to filter detection results.
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* @param[in] nms_threshold The threshold used in non maximum suppression.
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*
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*/
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void configure(const ITensor *bboxes, const ITensor *scores, ITensor *indices, unsigned int max_output_size, const float score_threshold, const float nms_threshold);
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/** Static function to check if given arguments will lead to a valid configuration of @ref CPPNonMaximumSuppression
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*
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* @param[in] bboxes The input bounding boxes tensor info. Data types supported: F32.
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* @param[in] scores The corresponding input confidence tensor info. Same as @p bboxes.
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* @param[out] indices The kept indices of bboxes after nms tensor info. Data types supported: S32.
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* @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression.
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* @param[in] score_threshold The threshold used to filter detection results.
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* @param[in] nms_threshold The threshold used in non maximum suppression.
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*
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*/
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static Status validate(const ITensorInfo *bboxes, const ITensorInfo *scores, const ITensorInfo *indices, unsigned int max_output_size,
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const float score_threshold, const float nms_threshold);
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSION_LAYER_H */
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