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1 /*
2  * Copyright (c) 2017-2020 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/CL/functions/CLHOGDescriptor.h"
25 
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/HOGInfo.h"
28 #include "arm_compute/core/Size2D.h"
29 #include "arm_compute/core/Validate.h"
30 #include "arm_compute/runtime/CL/CLScheduler.h"
31 #include "src/core/CL/kernels/CLFillBorderKernel.h"
32 #include "src/core/CL/kernels/CLHOGDescriptorKernel.h"
33 #include "src/core/CL/kernels/CLMagnitudePhaseKernel.h"
34 #include "support/MemorySupport.h"
35 
36 using namespace arm_compute;
37 
CLHOGDescriptor(std::shared_ptr<IMemoryManager> memory_manager)38 CLHOGDescriptor::CLHOGDescriptor(std::shared_ptr<IMemoryManager> memory_manager)
39     : _memory_group(std::move(memory_manager)),
40       _gradient(),
41       _orient_bin(support::cpp14::make_unique<CLHOGOrientationBinningKernel>()),
42       _block_norm(support::cpp14::make_unique<CLHOGBlockNormalizationKernel>()),
43       _mag(),
44       _phase(),
45       _hog_space()
46 {
47 }
48 
49 CLHOGDescriptor::~CLHOGDescriptor() = default;
50 
configure(ICLTensor * input,ICLTensor * output,const IHOG * hog,BorderMode border_mode,uint8_t constant_border_value)51 void CLHOGDescriptor::configure(ICLTensor *input, ICLTensor *output, const IHOG *hog, BorderMode border_mode, uint8_t constant_border_value)
52 {
53     configure(CLKernelLibrary::get().get_compile_context(), input, output, hog, border_mode, constant_border_value);
54 }
55 
configure(const CLCompileContext & compile_context,ICLTensor * input,ICLTensor * output,const IHOG * hog,BorderMode border_mode,uint8_t constant_border_value)56 void CLHOGDescriptor::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const IHOG *hog, BorderMode border_mode, uint8_t constant_border_value)
57 {
58     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
59     ARM_COMPUTE_ERROR_ON(nullptr == output);
60     ARM_COMPUTE_ERROR_ON(nullptr == hog);
61 
62     const HOGInfo *hog_info = hog->info();
63     const size_t   width    = input->info()->dimension(Window::DimX);
64     const size_t   height   = input->info()->dimension(Window::DimY);
65     const size_t   num_bins = hog_info->num_bins();
66 
67     Size2D cell_size = hog_info->cell_size();
68 
69     // Calculate number of cells along the x and y directions for the hog_space
70     const size_t num_cells_x = width / cell_size.width;
71     const size_t num_cells_y = height / cell_size.height;
72 
73     // TensorShape of the input image
74     const TensorShape &shape_img = input->info()->tensor_shape();
75 
76     // TensorShape of the hog space
77     TensorShape shape_hog_space = input->info()->tensor_shape();
78     shape_hog_space.set(Window::DimX, num_cells_x);
79     shape_hog_space.set(Window::DimY, num_cells_y);
80 
81     // Intitialize tensors for magnitude, phase and hog space
82     TensorInfo info_mag(shape_img, Format::S16);
83     _mag.allocator()->init(info_mag);
84 
85     TensorInfo info_phase(shape_img, Format::U8);
86     _phase.allocator()->init(info_phase);
87 
88     TensorInfo info_space(shape_hog_space, num_bins, DataType::F32);
89     _hog_space.allocator()->init(info_space);
90 
91     // Manage intermediate buffers
92     _memory_group.manage(&_mag);
93     _memory_group.manage(&_phase);
94 
95     // Initialise gradient kernel
96     _gradient.configure(compile_context, input, &_mag, &_phase, hog_info->phase_type(), border_mode, constant_border_value);
97 
98     // Manage intermediate buffers
99     _memory_group.manage(&_hog_space);
100 
101     // Initialise orientation binning kernel
102     _orient_bin->configure(compile_context, &_mag, &_phase, &_hog_space, hog->info());
103 
104     // Initialize HOG norm kernel
105     _block_norm->configure(compile_context, &_hog_space, output, hog->info());
106 
107     // Allocate intermediate tensors
108     _mag.allocator()->allocate();
109     _phase.allocator()->allocate();
110     _hog_space.allocator()->allocate();
111 }
112 
run()113 void CLHOGDescriptor::run()
114 {
115     MemoryGroupResourceScope scope_mg(_memory_group);
116 
117     // Run gradient
118     _gradient.run();
119 
120     // Run orientation binning
121     CLScheduler::get().enqueue(*_orient_bin, false);
122 
123     // Run block normalization
124     CLScheduler::get().enqueue(*_block_norm);
125 }