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/NEON/functions/NELaplacianPyramid.h"
25
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/IPyramid.h"
28 #include "arm_compute/core/TensorInfo.h"
29 #include "arm_compute/core/Validate.h"
30 #include "arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h"
31 #include "arm_compute/runtime/NEON/functions/NEDepthConvertLayer.h"
32 #include "arm_compute/runtime/NEON/functions/NEGaussianPyramid.h"
33 #include "arm_compute/runtime/Tensor.h"
34 #include "src/core/NEON/kernels/NEFillBorderKernel.h"
35 #include "src/core/NEON/kernels/NEGaussian5x5Kernel.h"
36 #include "src/core/NEON/kernels/NEGaussianPyramidKernel.h"
37
38 namespace arm_compute
39 {
40 NELaplacianPyramid::~NELaplacianPyramid() = default;
41
NELaplacianPyramid()42 NELaplacianPyramid::NELaplacianPyramid() // NOLINT
43 : _num_levels(0),
44 _gaussian_pyr_function(),
45 _convf(),
46 _subf(),
47 _gauss_pyr(),
48 _conv_pyr(),
49 _depth_function()
50 {
51 }
52
run()53 void NELaplacianPyramid::run()
54 {
55 ARM_COMPUTE_ERROR_ON_MSG(0 == _num_levels, "Unconfigured function");
56
57 // Compute Gaussian Pyramid
58 _gaussian_pyr_function.run();
59
60 for(unsigned int i = 0; i < _num_levels; ++i)
61 {
62 // Apply Gaussian filter to gaussian pyramid image
63 _convf[i].run();
64 }
65
66 for(unsigned int i = 0; i < _num_levels; ++i)
67 {
68 // Compute laplacian image
69 _subf[i].run();
70 }
71
72 _depth_function.run();
73 }
74
configure(const ITensor * input,IPyramid * pyramid,ITensor * output,BorderMode border_mode,uint8_t constant_border_value)75 void NELaplacianPyramid::configure(const ITensor *input, IPyramid *pyramid, ITensor *output, BorderMode border_mode, uint8_t constant_border_value)
76 {
77 ARM_COMPUTE_ERROR_ON(nullptr == pyramid);
78 ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
79 ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S16);
80 ARM_COMPUTE_ERROR_ON(0 == pyramid->info()->num_levels());
81 ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != pyramid->info()->width());
82 ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != pyramid->info()->height());
83 ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(0));
84 ARM_COMPUTE_ERROR_ON(output->info()->dimension(1) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(1));
85
86 _num_levels = pyramid->info()->num_levels();
87
88 // Create and initialize the gaussian pyramid and the convoluted pyramid
89 PyramidInfo pyramid_info;
90 pyramid_info.init(_num_levels, 0.5f, pyramid->info()->tensor_shape(), arm_compute::Format::U8);
91
92 _gauss_pyr.init(pyramid_info);
93 _conv_pyr.init(pyramid_info);
94
95 // Create Gaussian Pyramid function
96 _gaussian_pyr_function.configure(input, &_gauss_pyr, border_mode, constant_border_value);
97
98 _convf.resize(_num_levels);
99 _subf.resize(_num_levels);
100
101 for(unsigned int i = 0; i < _num_levels; ++i)
102 {
103 _convf[i].configure(_gauss_pyr.get_pyramid_level(i), _conv_pyr.get_pyramid_level(i), border_mode, constant_border_value);
104 _subf[i].configure(_gauss_pyr.get_pyramid_level(i), _conv_pyr.get_pyramid_level(i), pyramid->get_pyramid_level(i), ConvertPolicy::WRAP);
105 }
106
107 _depth_function.configure(_conv_pyr.get_pyramid_level(_num_levels - 1), output, ConvertPolicy::WRAP, 0);
108
109 _gauss_pyr.allocate();
110 _conv_pyr.allocate();
111 }
112 } // namespace arm_compute
113