From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Mon, 4 Sep 2017 18:44:23 +0100 Subject: COMPMID-344 Updated doxygen Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae --- .../core/NEON/kernels/NEHOGDescriptorKernel.h | 141 +++++++++++++++++++++ 1 file changed, 141 insertions(+) create mode 100644 arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h (limited to 'arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h') diff --git a/arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h b/arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h new file mode 100644 index 0000000000..dd85778b8a --- /dev/null +++ b/arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h @@ -0,0 +1,141 @@ +/* + * Copyright (c) 2016, 2017 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: + /** 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) 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: + /** 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) 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; +}; +} +#endif /* __ARM_COMPUTE_NEHOGDESCRIPTORKERNEL_H__ */ -- cgit v1.2.1