Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 2 | * Copyright (c) 2016-2019 ARM Limited. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 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 | */ |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 24 | #ifndef ARM_COMPUTE_NEHOGDESCRIPTORKERNEL_H |
| 25 | #define ARM_COMPUTE_NEHOGDESCRIPTORKERNEL_H |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 26 | |
| 27 | #include "arm_compute/core/IHOG.h" |
| 28 | #include "arm_compute/core/NEON/INEKernel.h" |
| 29 | #include "arm_compute/core/Size2D.h" |
| 30 | |
| 31 | namespace arm_compute |
| 32 | { |
| 33 | class ITensor; |
| 34 | |
| 35 | /** NEON kernel to perform HOG Orientation Binning */ |
| 36 | class NEHOGOrientationBinningKernel : public INEKernel |
| 37 | { |
| 38 | public: |
Anthony Barbier | e8a4983 | 2018-01-18 10:04:05 +0000 | [diff] [blame] | 39 | const char *name() const override |
| 40 | { |
| 41 | return "NEHOGOrientationBinningKernel"; |
| 42 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 43 | /** Default constructor */ |
| 44 | NEHOGOrientationBinningKernel(); |
| 45 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 46 | NEHOGOrientationBinningKernel(const NEHOGOrientationBinningKernel &) = delete; |
| 47 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 48 | NEHOGOrientationBinningKernel &operator=(const NEHOGOrientationBinningKernel &) = delete; |
| 49 | /** Allow instances of this class to be moved */ |
| 50 | NEHOGOrientationBinningKernel(NEHOGOrientationBinningKernel &&) = default; |
| 51 | /** Allow instances of this class to be moved */ |
| 52 | NEHOGOrientationBinningKernel &operator=(NEHOGOrientationBinningKernel &&) = default; |
| 53 | /** Default destructor */ |
| 54 | ~NEHOGOrientationBinningKernel() = default; |
| 55 | |
| 56 | /** Initialise the kernel's inputs, output and HOG's metadata |
| 57 | * |
| 58 | * @param[in] input_magnitude Input tensor which stores the magnitude of the gradient for each pixel. Data type supported: S16. |
| 59 | * @param[in] input_phase Input tensor which stores the phase of the gradient for each pixel. Data type supported: U8 |
| 60 | * @param[out] output Output 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 |
| 61 | * @param[in] hog_info HOG's metadata |
| 62 | */ |
| 63 | void configure(const ITensor *input_magnitude, const ITensor *input_phase, ITensor *output, const HOGInfo *hog_info); |
| 64 | |
| 65 | // Inherited methods overridden: |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 66 | void run(const Window &window, const ThreadInfo &info) override; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 67 | |
| 68 | private: |
| 69 | /** Common signature for all the specialised block normalization functions |
| 70 | * |
| 71 | * @param[in] mag_row_ptr Pointer to the first row of the cell in the magnitude tensor |
| 72 | * @param[in] phase_row_ptr Pointer to the first row of the cell in the phase tensor |
| 73 | * @param[out] output_ptr Pointer to the output cell of hog space tensor |
| 74 | * @param[in] mag_stride Stride of the magnitude tensor |
| 75 | * @param[in] phase_stride Stride of the phase tensor |
| 76 | * @param[in] cell_width Width of the cell |
| 77 | * @param[in] cell_height Height of the cell |
| 78 | * @param[in] num_bins Number of bins for each cell |
| 79 | * @param[in] phase_scale Scale factor to apply to the phase in order to calculate the histogram index |
| 80 | */ |
| 81 | using OrientBinFunc = void(const int16_t *__restrict mag_row_ptr, const uint8_t *__restrict phase_row_ptr, float *__restrict output_ptr, size_t mag_stride, size_t phase_stride, size_t cell_width, |
| 82 | size_t cell_height, size_t num_bins, float phase_scale); |
| 83 | /** Orientation binning function to use for the particular cell width passed to configure() */ |
| 84 | OrientBinFunc *_func; |
| 85 | const ITensor *_input_magnitude; |
| 86 | const ITensor *_input_phase; |
| 87 | ITensor *_output; |
| 88 | size_t _cell_width; |
| 89 | size_t _cell_height; |
| 90 | size_t _num_bins; |
| 91 | float _phase_scale; |
| 92 | }; |
| 93 | |
| 94 | /** NEON kernel to perform HOG block normalization */ |
| 95 | class NEHOGBlockNormalizationKernel : public INEKernel |
| 96 | { |
| 97 | public: |
Anthony Barbier | e8a4983 | 2018-01-18 10:04:05 +0000 | [diff] [blame] | 98 | const char *name() const override |
| 99 | { |
| 100 | return "NEHOGBlockNormalizationKernel"; |
| 101 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 102 | /** Default constructor */ |
| 103 | NEHOGBlockNormalizationKernel(); |
| 104 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 105 | NEHOGBlockNormalizationKernel(const NEHOGBlockNormalizationKernel &) = delete; |
| 106 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 107 | NEHOGBlockNormalizationKernel &operator=(const NEHOGBlockNormalizationKernel &) = delete; |
| 108 | /** Allow instances of this class to be moved */ |
| 109 | NEHOGBlockNormalizationKernel(NEHOGBlockNormalizationKernel &&) = default; |
| 110 | /** Allow instances of this class to be moved */ |
| 111 | NEHOGBlockNormalizationKernel &operator=(NEHOGBlockNormalizationKernel &&) = default; |
| 112 | /** Default destructor */ |
| 113 | ~NEHOGBlockNormalizationKernel() = default; |
| 114 | |
| 115 | /** Initialise the kernel's input, output and HOG's metadata |
| 116 | * |
| 117 | * @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 |
| 118 | * @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 |
| 119 | * @param[in] hog_info HOG's metadata |
| 120 | */ |
| 121 | void configure(const ITensor *input, ITensor *output, const HOGInfo *hog_info); |
| 122 | |
| 123 | // Inherited methods overridden: |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 124 | void run(const Window &window, const ThreadInfo &info) override; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 125 | |
| 126 | private: |
| 127 | /** Common signature for all the specialised block normalization functions |
| 128 | * |
| 129 | * @param[in] input_row_ptr Pointer to the first row of the block in the input hog space tensor |
| 130 | * @param[out] output_ptr Pointer to the output block of the hog normalized space |
| 131 | * @param[in] input_stride Stride of the input hog space tensor |
| 132 | * @param[in] num_cells_per_block_height Number of cells per block along the Y direction |
| 133 | * @param[in] num_bins_block_x Number of bins per block along the X direction |
| 134 | * @param[in] num_bins_block Number of total bins per block |
| 135 | * @param[in] l2_hyst_threshold Threshold to use for l2 hysteresis normalization |
| 136 | */ |
| 137 | using BlockNormFunc = void(const float *input_row_ptr, float *output_ptr, size_t input_stride, size_t num_cells_per_block_height, size_t num_bins_block_x, size_t num_bins_block, |
| 138 | float l2_hyst_threshold); |
| 139 | /** Block normalization function to use for the particular normalization type passed to configure() */ |
| 140 | BlockNormFunc *_func; |
| 141 | const ITensor *_input; |
| 142 | ITensor *_output; |
| 143 | Size2D _num_cells_per_block; |
| 144 | Size2D _num_cells_per_block_stride; |
| 145 | size_t _num_bins; |
| 146 | float _l2_hyst_threshold; |
| 147 | }; |
Gian Marco Iodice | 356f643 | 2017-09-22 11:32:21 +0100 | [diff] [blame] | 148 | } // namespace arm_compute |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 149 | #endif /* ARM_COMPUTE_NEHOGDESCRIPTORKERNEL_H */ |