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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 #ifndef ARM_COMPUTE_CLHOGDESCRIPTORKERNEL_H
25 #define ARM_COMPUTE_CLHOGDESCRIPTORKERNEL_H
26 
27 #include "arm_compute/core/IHOG.h"
28 #include "arm_compute/core/Size2D.h"
29 #include "src/core/CL/ICLKernel.h"
30 
31 namespace arm_compute
32 {
33 class ITensor;
34 
35 /** OpenCL kernel to perform HOG Orientation Binning */
36 class CLHOGOrientationBinningKernel : public ICLKernel
37 {
38 public:
39     /** Default constructor */
40     CLHOGOrientationBinningKernel();
41     /** Prevent instances of this class from being copied (As this class contains pointers) */
42     CLHOGOrientationBinningKernel(const CLHOGOrientationBinningKernel &) = delete;
43     /** Prevent instances of this class from being copied (As this class contains pointers) */
44     CLHOGOrientationBinningKernel &operator=(const CLHOGOrientationBinningKernel &) = delete;
45     /** Allow instances of this class to be moved */
46     CLHOGOrientationBinningKernel(CLHOGOrientationBinningKernel &&) = default;
47     /** Allow instances of this class to be moved */
48     CLHOGOrientationBinningKernel &operator=(CLHOGOrientationBinningKernel &&) = default;
49     /** Default destructor */
50     ~CLHOGOrientationBinningKernel() = default;
51 
52     /**  Initialise the kernel's inputs, output and HOG's metadata
53      *
54      * @param[in]  input_magnitude Input tensor which stores the magnitude of the gradient for each pixel. Data type supported: S16.
55      * @param[in]  input_phase     Input tensor which stores the phase of the gradient for each pixel. Data type supported: U8
56      * @param[out] output          Output tensor which stores the local HOG for each cell. DataType supported: F32. Number of channels supported: equal to the number of histogram bins per cell
57      * @param[in]  hog_info        HOG's metadata
58      */
59     void configure(const ICLTensor *input_magnitude, const ICLTensor *input_phase, ICLTensor *output, const HOGInfo *hog_info);
60     /**  Initialise the kernel's inputs, output and HOG's metadata
61      *
62      * @param[in]  compile_context The compile context to be used.
63      * @param[in]  input_magnitude Input tensor which stores the magnitude of the gradient for each pixel. Data type supported: S16.
64      * @param[in]  input_phase     Input tensor which stores the phase of the gradient for each pixel. Data type supported: U8
65      * @param[out] output          Output tensor which stores the local HOG for each cell. DataType supported: F32. Number of channels supported: equal to the number of histogram bins per cell
66      * @param[in]  hog_info        HOG's metadata
67      */
68     void configure(const CLCompileContext &compile_context, const ICLTensor *input_magnitude, const ICLTensor *input_phase, ICLTensor *output, const HOGInfo *hog_info);
69 
70     // Inherited methods overridden:
71     void run(const Window &window, cl::CommandQueue &queue) override;
72 
73 private:
74     const ICLTensor *_input_magnitude;
75     const ICLTensor *_input_phase;
76     ICLTensor       *_output;
77     Size2D           _cell_size;
78 };
79 
80 /** OpenCL kernel to perform HOG block normalization */
81 class CLHOGBlockNormalizationKernel : public ICLKernel
82 {
83 public:
84     /** Default constructor */
85     CLHOGBlockNormalizationKernel();
86     /** Prevent instances of this class from being copied (As this class contains pointers) */
87     CLHOGBlockNormalizationKernel(const CLHOGBlockNormalizationKernel &) = delete;
88     /** Prevent instances of this class from being copied (As this class contains pointers) */
89     CLHOGBlockNormalizationKernel &operator=(const CLHOGBlockNormalizationKernel &) = delete;
90     /** Allow instances of this class to be moved */
91     CLHOGBlockNormalizationKernel(CLHOGBlockNormalizationKernel &&) = default;
92     /** Allow instances of this class to be moved */
93     CLHOGBlockNormalizationKernel &operator=(CLHOGBlockNormalizationKernel &&) = default;
94     /** Default destructor */
95     ~CLHOGBlockNormalizationKernel() = default;
96 
97     /** Initialise the kernel's input, output and HOG's metadata
98      *
99      * @param[in]  input    Input tensor which stores the local HOG for each cell. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per cell
100      * @param[out] output   Output tensor which stores the normalised blocks. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per block
101      * @param[in]  hog_info HOG's metadata
102      */
103     void configure(const ICLTensor *input, ICLTensor *output, const HOGInfo *hog_info);
104     /** Initialise the kernel's input, output and HOG's metadata
105      *
106      * @param[in]  compile_context The compile context to be used.
107      * @param[in]  input           Input tensor which stores the local HOG for each cell. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per cell
108      * @param[out] output          Output tensor which stores the normalised blocks. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per block
109      * @param[in]  hog_info        HOG's metadata
110      */
111     void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const HOGInfo *hog_info);
112 
113     // Inherited methods overridden:
114     void run(const Window &window, cl::CommandQueue &queue) override;
115 
116 private:
117     const ICLTensor *_input;
118     ICLTensor       *_output;
119     Size2D           _num_cells_per_block_stride;
120 };
121 } // namespace arm_compute
122 #endif /* ARM_COMPUTE_CLHOGDESCRIPTORKERNEL_H */
123