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 --- src/core/NEON/kernels/NEHOGDetectorKernel.cpp | 186 ++++++++++++++++++++++++++ 1 file changed, 186 insertions(+) create mode 100644 src/core/NEON/kernels/NEHOGDetectorKernel.cpp (limited to 'src/core/NEON/kernels/NEHOGDetectorKernel.cpp') diff --git a/src/core/NEON/kernels/NEHOGDetectorKernel.cpp b/src/core/NEON/kernels/NEHOGDetectorKernel.cpp new file mode 100644 index 0000000000..4af22bca75 --- /dev/null +++ b/src/core/NEON/kernels/NEHOGDetectorKernel.cpp @@ -0,0 +1,186 @@ +/* + * 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. + */ +#include "arm_compute/core/NEON/kernels/NEHOGDetectorKernel.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/HOGInfo.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/IAccessWindow.h" +#include "arm_compute/core/Validate.h" + +#include + +using namespace arm_compute; + +NEHOGDetectorKernel::NEHOGDetectorKernel() + : _input(nullptr), _detection_windows(), _hog_descriptor(nullptr), _bias(0.0f), _threshold(0.0f), _idx_class(0), _num_bins_per_descriptor_x(0), _num_blocks_per_descriptor_y(0), _block_stride_width(0), + _block_stride_height(0), _detection_window_width(0), _detection_window_height(0), _max_num_detection_windows(0), _mutex() +{ +} + +void NEHOGDetectorKernel::configure(const ITensor *input, const IHOG *hog, IDetectionWindowArray *detection_windows, const Size2D &detection_window_stride, float threshold, uint16_t idx_class) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(input, DataType::F32); + ARM_COMPUTE_ERROR_ON(hog == nullptr); + ARM_COMPUTE_ERROR_ON(detection_windows == nullptr); + ARM_COMPUTE_ERROR_ON((detection_window_stride.width % hog->info()->block_stride().width) != 0); + ARM_COMPUTE_ERROR_ON((detection_window_stride.height % hog->info()->block_stride().height) != 0); + + const Size2D &detection_window_size = hog->info()->detection_window_size(); + const Size2D &block_size = hog->info()->block_size(); + const Size2D &block_stride = hog->info()->block_stride(); + + _input = input; + _detection_windows = detection_windows; + _threshold = threshold; + _idx_class = idx_class; + _hog_descriptor = hog->descriptor(); + _bias = _hog_descriptor[hog->info()->descriptor_size() - 1]; + _num_bins_per_descriptor_x = ((detection_window_size.width - block_size.width) / block_stride.width + 1) * input->info()->num_channels(); + _num_blocks_per_descriptor_y = (detection_window_size.height - block_size.height) / block_stride.height + 1; + _block_stride_width = block_stride.width; + _block_stride_height = block_stride.height; + _detection_window_width = detection_window_size.width; + _detection_window_height = detection_window_size.height; + _max_num_detection_windows = detection_windows->max_num_values(); + + ARM_COMPUTE_ERROR_ON((_num_bins_per_descriptor_x * _num_blocks_per_descriptor_y + 1) != hog->info()->descriptor_size()); + + // Get the number of blocks along the x and y directions of the input tensor + const ValidRegion &valid_region = input->info()->valid_region(); + const size_t num_blocks_x = valid_region.shape[0]; + const size_t num_blocks_y = valid_region.shape[1]; + + // Get the number of blocks along the x and y directions of the detection window + const size_t num_blocks_per_detection_window_x = detection_window_size.width / block_stride.width; + const size_t num_blocks_per_detection_window_y = detection_window_size.height / block_stride.height; + + const size_t window_step_x = detection_window_stride.width / block_stride.width; + const size_t window_step_y = detection_window_stride.height / block_stride.height; + + // Configure kernel window + Window win; + win.set(Window::DimX, Window::Dimension(0, floor_to_multiple(num_blocks_x - num_blocks_per_detection_window_x, window_step_x), window_step_x)); + win.set(Window::DimY, Window::Dimension(0, floor_to_multiple(num_blocks_y - num_blocks_per_detection_window_y, window_step_y), window_step_y)); + + constexpr unsigned int num_elems_read_per_iteration = 1; + const unsigned int num_rows_read_per_iteration = _num_blocks_per_descriptor_y; + + update_window_and_padding(win, AccessWindowRectangle(input->info(), 0, 0, num_elems_read_per_iteration, num_rows_read_per_iteration)); + + INEKernel::configure(win); +} + +void NEHOGDetectorKernel::run(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + ARM_COMPUTE_ERROR_ON(_hog_descriptor == nullptr); + + const size_t in_step_y = _input->info()->strides_in_bytes()[Window::DimY] / data_size_from_type(_input->info()->data_type()); + + Iterator in(_input, window); + + execute_window_loop(window, [&](const Coordinates & id) + { + const auto *in_row_ptr = reinterpret_cast(in.ptr()); + + // Init score_f32 with 0 + float32x4_t score_f32 = vdupq_n_f32(0.0f); + + // Init score with bias + float score = _bias; + + // Compute Linear SVM + for(size_t yb = 0; yb < _num_blocks_per_descriptor_y; ++yb, in_row_ptr += in_step_y) + { + int32_t xb = 0; + + const int32_t offset_y = yb * _num_bins_per_descriptor_x; + + for(; xb < static_cast(_num_bins_per_descriptor_x) - 16; xb += 16) + { + // Load descriptor values + const float32x4x4_t a_f32 = + { + { + vld1q_f32(&in_row_ptr[xb + 0]), + vld1q_f32(&in_row_ptr[xb + 4]), + vld1q_f32(&in_row_ptr[xb + 8]), + vld1q_f32(&in_row_ptr[xb + 12]) + } + }; + + // Load detector values + const float32x4x4_t b_f32 = + { + { + vld1q_f32(&_hog_descriptor[xb + 0 + offset_y]), + vld1q_f32(&_hog_descriptor[xb + 4 + offset_y]), + vld1q_f32(&_hog_descriptor[xb + 8 + offset_y]), + vld1q_f32(&_hog_descriptor[xb + 12 + offset_y]) + } + }; + + // Multiply accumulate + score_f32 = vmlaq_f32(score_f32, a_f32.val[0], b_f32.val[0]); + score_f32 = vmlaq_f32(score_f32, a_f32.val[1], b_f32.val[1]); + score_f32 = vmlaq_f32(score_f32, a_f32.val[2], b_f32.val[2]); + score_f32 = vmlaq_f32(score_f32, a_f32.val[3], b_f32.val[3]); + } + + for(; xb < static_cast(_num_bins_per_descriptor_x); ++xb) + { + const float a = in_row_ptr[xb]; + const float b = _hog_descriptor[xb + offset_y]; + + score += a * b; + } + } + + score += vgetq_lane_f32(score_f32, 0); + score += vgetq_lane_f32(score_f32, 1); + score += vgetq_lane_f32(score_f32, 2); + score += vgetq_lane_f32(score_f32, 3); + + if(score > _threshold) + { + if(_detection_windows->num_values() < _max_num_detection_windows) + { + DetectionWindow win; + win.x = (id.x() * _block_stride_width); + win.y = (id.y() * _block_stride_height); + win.width = _detection_window_width; + win.height = _detection_window_height; + win.idx_class = _idx_class; + win.score = score; + + std::unique_lock lock(_mutex); + _detection_windows->push_back(win); + lock.unlock(); + } + } + }, + in); +} -- cgit v1.2.1