Isabella Gottardi | 883bad7 | 2019-07-15 17:33:07 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2019 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 24 | #ifndef ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSIONKERNEL_LAYER_H |
| 25 | #define ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSIONKERNEL_LAYER_H |
Isabella Gottardi | 883bad7 | 2019-07-15 17:33:07 +0100 | [diff] [blame] | 26 | |
| 27 | #include "arm_compute/runtime/CPP/ICPPSimpleFunction.h" |
| 28 | |
| 29 | #include "arm_compute/core/Types.h" |
| 30 | |
| 31 | namespace arm_compute |
| 32 | { |
| 33 | class ITensor; |
| 34 | |
| 35 | /** CPP Function to perform non maximum suppression on the bounding boxes and scores |
| 36 | * |
| 37 | */ |
| 38 | class CPPNonMaximumSuppressionKernel : public ICPPKernel |
| 39 | { |
| 40 | public: |
| 41 | const char *name() const override |
| 42 | { |
| 43 | return "CPPNonMaximumSuppressionKernel"; |
| 44 | } |
| 45 | /** Default constructor */ |
| 46 | CPPNonMaximumSuppressionKernel(); |
| 47 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 48 | CPPNonMaximumSuppressionKernel(const CPPNonMaximumSuppressionKernel &) = delete; |
| 49 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 50 | CPPNonMaximumSuppressionKernel &operator=(const CPPNonMaximumSuppressionKernel &) = delete; |
| 51 | /** Allow instances of this class to be moved */ |
| 52 | CPPNonMaximumSuppressionKernel(CPPNonMaximumSuppressionKernel &&) = default; |
| 53 | /** Allow instances of this class to be moved */ |
| 54 | CPPNonMaximumSuppressionKernel &operator=(CPPNonMaximumSuppressionKernel &&) = default; |
| 55 | /** Default destructor */ |
| 56 | ~CPPNonMaximumSuppressionKernel() = default; |
| 57 | |
| 58 | /** Configure the kernel to perform non maximal suppression |
| 59 | * |
| 60 | * @param[in] input_bboxes The input bounding boxes. Data types supported: F32. |
| 61 | * @param[in] input_scores The corresponding input confidence. Same as @p input_bboxes. |
| 62 | * @param[out] output_indices The kept indices of bboxes after nms. Data types supported: S32. |
| 63 | * @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression. |
| 64 | * @param[in] score_threshold The threshold used to filter detection results. |
| 65 | * @param[in] iou_threshold The threshold used in non maximum suppression. |
| 66 | * |
| 67 | */ |
| 68 | void configure(const ITensor *input_bboxes, const ITensor *input_scores, ITensor *output_indices, unsigned int max_output_size, const float score_threshold, const float iou_threshold); |
| 69 | |
| 70 | /** Static function to check if given arguments will lead to a valid configuration of @ref CPPNonMaximumSuppressionKernel |
| 71 | * |
| 72 | * @param[in] input_bboxes The input bounding boxes tensor info. Data types supported: F32. |
| 73 | * @param[in] input_scores The corresponding input confidence tensor info. Same as @p input_bboxes. |
| 74 | * @param[out] output_indices The kept indices of bboxes after nms tensor info. Data types supported: S32. |
| 75 | * @param[in] max_output_size An integer tensor representing the maximum number of boxes to be selected by non max suppression. |
| 76 | * @param[in] score_threshold The threshold used to filter detection results. |
| 77 | * @param[in] iou_threshold The threshold used in non maximum suppression. |
| 78 | * |
| 79 | */ |
| 80 | static Status validate(const ITensorInfo *input_bboxes, const ITensorInfo *input_scores, const ITensorInfo *output_indices, unsigned int max_output_size, |
| 81 | const float score_threshold, const float iou_threshold); |
| 82 | |
| 83 | // Inherited methods overridden: |
| 84 | void run(const Window &window, const ThreadInfo &info) override; |
| 85 | |
| 86 | private: |
| 87 | const ITensor *_input_bboxes; |
| 88 | const ITensor *_input_scores; |
| 89 | ITensor *_output_indices; |
| 90 | unsigned int _max_output_size; |
| 91 | float _score_threshold; |
| 92 | float _iou_threshold; |
| 93 | |
| 94 | unsigned int _num_boxes; |
Isabella Gottardi | 883bad7 | 2019-07-15 17:33:07 +0100 | [diff] [blame] | 95 | }; |
| 96 | } // namespace arm_compute |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 97 | #endif /* ARM_COMPUTE_CPP_NONMAXIMUMSUPPRESSIONKERNEL_LAYER_H */ |