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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h | 149 |
1 files changed, 0 insertions, 149 deletions
diff --git a/arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h b/arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h deleted file mode 100644 index edb2da58e2..0000000000 --- a/arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h +++ /dev/null @@ -1,149 +0,0 @@ -/* - * Copyright (c) 2016-2019 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#ifndef ARM_COMPUTE_NEHOGDESCRIPTORKERNEL_H -#define ARM_COMPUTE_NEHOGDESCRIPTORKERNEL_H - -#include "arm_compute/core/IHOG.h" -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/Size2D.h" - -namespace arm_compute -{ -class ITensor; - -/** NEON kernel to perform HOG Orientation Binning */ -class NEHOGOrientationBinningKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEHOGOrientationBinningKernel"; - } - /** Default constructor */ - NEHOGOrientationBinningKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEHOGOrientationBinningKernel(const NEHOGOrientationBinningKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEHOGOrientationBinningKernel &operator=(const NEHOGOrientationBinningKernel &) = delete; - /** Allow instances of this class to be moved */ - NEHOGOrientationBinningKernel(NEHOGOrientationBinningKernel &&) = default; - /** Allow instances of this class to be moved */ - NEHOGOrientationBinningKernel &operator=(NEHOGOrientationBinningKernel &&) = default; - /** Default destructor */ - ~NEHOGOrientationBinningKernel() = default; - - /** Initialise the kernel's inputs, output and HOG's metadata - * - * @param[in] input_magnitude Input tensor which stores the magnitude of the gradient for each pixel. Data type supported: S16. - * @param[in] input_phase Input tensor which stores the phase of the gradient for each pixel. Data type supported: U8 - * @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 - * @param[in] hog_info HOG's metadata - */ - void configure(const ITensor *input_magnitude, const ITensor *input_phase, ITensor *output, const HOGInfo *hog_info); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - /** Common signature for all the specialised block normalization functions - * - * @param[in] mag_row_ptr Pointer to the first row of the cell in the magnitude tensor - * @param[in] phase_row_ptr Pointer to the first row of the cell in the phase tensor - * @param[out] output_ptr Pointer to the output cell of hog space tensor - * @param[in] mag_stride Stride of the magnitude tensor - * @param[in] phase_stride Stride of the phase tensor - * @param[in] cell_width Width of the cell - * @param[in] cell_height Height of the cell - * @param[in] num_bins Number of bins for each cell - * @param[in] phase_scale Scale factor to apply to the phase in order to calculate the histogram index - */ - 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, - size_t cell_height, size_t num_bins, float phase_scale); - /** Orientation binning function to use for the particular cell width passed to configure() */ - OrientBinFunc *_func; - const ITensor *_input_magnitude; - const ITensor *_input_phase; - ITensor *_output; - size_t _cell_width; - size_t _cell_height; - size_t _num_bins; - float _phase_scale; -}; - -/** NEON kernel to perform HOG block normalization */ -class NEHOGBlockNormalizationKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEHOGBlockNormalizationKernel"; - } - /** Default constructor */ - NEHOGBlockNormalizationKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEHOGBlockNormalizationKernel(const NEHOGBlockNormalizationKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEHOGBlockNormalizationKernel &operator=(const NEHOGBlockNormalizationKernel &) = delete; - /** Allow instances of this class to be moved */ - NEHOGBlockNormalizationKernel(NEHOGBlockNormalizationKernel &&) = default; - /** Allow instances of this class to be moved */ - NEHOGBlockNormalizationKernel &operator=(NEHOGBlockNormalizationKernel &&) = default; - /** Default destructor */ - ~NEHOGBlockNormalizationKernel() = default; - - /** Initialise the kernel's input, output and HOG's metadata - * - * @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 - * @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 - * @param[in] hog_info HOG's metadata - */ - void configure(const ITensor *input, ITensor *output, const HOGInfo *hog_info); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - /** Common signature for all the specialised block normalization functions - * - * @param[in] input_row_ptr Pointer to the first row of the block in the input hog space tensor - * @param[out] output_ptr Pointer to the output block of the hog normalized space - * @param[in] input_stride Stride of the input hog space tensor - * @param[in] num_cells_per_block_height Number of cells per block along the Y direction - * @param[in] num_bins_block_x Number of bins per block along the X direction - * @param[in] num_bins_block Number of total bins per block - * @param[in] l2_hyst_threshold Threshold to use for l2 hysteresis normalization - */ - 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, - float l2_hyst_threshold); - /** Block normalization function to use for the particular normalization type passed to configure() */ - BlockNormFunc *_func; - const ITensor *_input; - ITensor *_output; - Size2D _num_cells_per_block; - Size2D _num_cells_per_block_stride; - size_t _num_bins; - float _l2_hyst_threshold; -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_NEHOGDESCRIPTORKERNEL_H */ |