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Michalis Spyrou2709d612018-09-19 09:46:47 +01001/*
Michalis Spyrouf4643372019-11-29 16:17:13 +00002 * Copyright (c) 2018-2019 ARM Limited.
Michalis Spyrou2709d612018-09-19 09:46:47 +01003 *
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 Spyrouf4643372019-11-29 16:17:13 +000024#ifndef ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H
25#define ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H
Michalis Spyrou2709d612018-09-19 09:46:47 +010026
27#include "arm_compute/core/IArray.h"
28#include "arm_compute/core/IHOG.h"
29#include "arm_compute/core/NEON/INEKernel.h"
30#include "arm_compute/core/Types.h"
31
32namespace arm_compute
33{
34class ITensor;
35
36/** CPP kernel to perform computation of BoxWithNonMaximaSuppressionLimit */
37class CPPBoxWithNonMaximaSuppressionLimitKernel : public ICPPKernel
38{
39public:
40 const char *name() const override
41 {
42 return "CPPBoxWithNonMaximaSuppressionLimitKernel";
43 }
44 /** Default constructor */
45 CPPBoxWithNonMaximaSuppressionLimitKernel();
46 /** Prevent instances of this class from being copied (As this class contains pointers) */
47 CPPBoxWithNonMaximaSuppressionLimitKernel(const CPPBoxWithNonMaximaSuppressionLimitKernel &) = delete;
48 /** Prevent instances of this class from being copied (As this class contains pointers) */
49 CPPBoxWithNonMaximaSuppressionLimitKernel &operator=(const CPPBoxWithNonMaximaSuppressionLimitKernel &) = delete;
50 /** Allow instances of this class to be moved */
51 CPPBoxWithNonMaximaSuppressionLimitKernel(CPPBoxWithNonMaximaSuppressionLimitKernel &&) = default;
52 /** Allow instances of this class to be moved */
53 CPPBoxWithNonMaximaSuppressionLimitKernel &operator=(CPPBoxWithNonMaximaSuppressionLimitKernel &&) = default;
54 /** Initialise the kernel's input and output tensors.
55 *
56 * @param[in] scores_in The scores input tensor of size [num_classes, count]. Data types supported: F16/F32
57 * @param[in] boxes_in The boxes input tensor of size [num_classes * 4, count]. Data types supported: Same as @p scores_in
58 * @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in
59 * @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images.
60 * @param[out] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in
61 * @param[out] boxes_out The boxes output tensor of size [4, N]. Data types supported: Same as @p scores_in
62 * @param[out] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in
63 * @param[out] batch_splits_out (Optional) The batch splits output tensor [batch_size]. Data types supported: Same as @p scores_in
64 * @param[out] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as@p scores_in
65 * @param[out] keeps_size (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: Same as @p scores_in
66 * @param[in] info (Optional) BoxNMSLimitInfo information.
67 */
68 void configure(const ITensor *scores_in, const ITensor *boxes_in, const ITensor *batch_splits_in, ITensor *scores_out, ITensor *boxes_out, ITensor *classes,
69 ITensor *batch_splits_out = nullptr, ITensor *keeps = nullptr, ITensor *keeps_size = nullptr, const BoxNMSLimitInfo info = BoxNMSLimitInfo());
70
71 // Inherited methods overridden:
72 void run(const Window &window, const ThreadInfo &info) override;
73 bool is_parallelisable() const override;
74
75 template <typename T>
76 void run_nmslimit();
77
78private:
79 const ITensor *_scores_in;
80 const ITensor *_boxes_in;
81 const ITensor *_batch_splits_in;
82 ITensor *_scores_out;
83 ITensor *_boxes_out;
84 ITensor *_classes;
85 ITensor *_batch_splits_out;
86 ITensor *_keeps;
87 ITensor *_keeps_size;
88 BoxNMSLimitInfo _info;
89};
90} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +000091#endif /* ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H */