1 /*
2 * Copyright (c) 2016-2020 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 */
24 #include "arm_compute/runtime/Pyramid.h"
25
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/PyramidInfo.h"
28 #include "arm_compute/core/TensorInfo.h"
29 #include "arm_compute/core/TensorShape.h"
30
31 #include <cmath>
32
33 using namespace arm_compute;
34
init(const PyramidInfo & info)35 void Pyramid::init(const PyramidInfo &info)
36 {
37 internal_init(info, false);
38 }
39
init_auto_padding(const PyramidInfo & info)40 void Pyramid::init_auto_padding(const PyramidInfo &info)
41 {
42 internal_init(info, true);
43 }
44
internal_init(const PyramidInfo & info,bool auto_padding)45 void Pyramid::internal_init(const PyramidInfo &info, bool auto_padding)
46 {
47 _info = info;
48 _pyramid.resize(_info.num_levels());
49
50 size_t w = _info.width();
51 size_t h = _info.height();
52 size_t ref_w = w;
53 size_t ref_h = h;
54 bool is_orb_scale = (SCALE_PYRAMID_ORB == _info.scale());
55 TensorShape tensor_shape = _info.tensor_shape();
56
57 // Note: Look-up table used by the OpenVX sample implementation
58 const std::array<float, 4> c_orbscale = { 0.5f,
59 SCALE_PYRAMID_ORB,
60 SCALE_PYRAMID_ORB * SCALE_PYRAMID_ORB,
61 SCALE_PYRAMID_ORB *SCALE_PYRAMID_ORB * SCALE_PYRAMID_ORB
62 };
63
64 for(size_t i = 0; i < _info.num_levels(); ++i)
65 {
66 TensorInfo tensor_info(tensor_shape, _info.format());
67
68 if(auto_padding)
69 {
70 tensor_info.auto_padding();
71 }
72
73 _pyramid[i].allocator()->init(tensor_info);
74
75 if(is_orb_scale)
76 {
77 float orb_scale = c_orbscale[(i + 1) % 4];
78 w = static_cast<int>(std::ceil(static_cast<float>(ref_w) * orb_scale));
79 h = static_cast<int>(std::ceil(static_cast<float>(ref_h) * orb_scale));
80
81 if(0 == ((i + 1) % 4))
82 {
83 ref_w = w;
84 ref_h = h;
85 }
86 }
87 else
88 {
89 w = (w + 1) * _info.scale();
90 h = (h + 1) * _info.scale();
91 }
92
93 // Update tensor_shape
94 tensor_shape.set(0, w);
95 tensor_shape.set(1, h);
96 }
97 }
98
allocate()99 void Pyramid::allocate()
100 {
101 for(size_t i = 0; i < _info.num_levels(); ++i)
102 {
103 _pyramid[i].allocator()->allocate();
104 }
105 }
106
info() const107 const PyramidInfo *Pyramid::info() const
108 {
109 return &_info;
110 }
111
get_pyramid_level(size_t index) const112 Tensor *Pyramid::get_pyramid_level(size_t index) const
113 {
114 ARM_COMPUTE_ERROR_ON(index >= _info.num_levels());
115
116 return &_pyramid[index];
117 }
118