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Diffstat (limited to 'src/runtime/NEON/functions/NEGaussianPyramid.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEGaussianPyramid.cpp | 202 |
1 files changed, 0 insertions, 202 deletions
diff --git a/src/runtime/NEON/functions/NEGaussianPyramid.cpp b/src/runtime/NEON/functions/NEGaussianPyramid.cpp deleted file mode 100644 index c9a36fc466..0000000000 --- a/src/runtime/NEON/functions/NEGaussianPyramid.cpp +++ /dev/null @@ -1,202 +0,0 @@ -/* - * Copyright (c) 2016-2020 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/runtime/NEON/functions/NEGaussianPyramid.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/PixelValue.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/runtime/NEON/NEScheduler.h" -#include "arm_compute/runtime/Pyramid.h" -#include "arm_compute/runtime/Tensor.h" -#include "arm_compute/runtime/TensorAllocator.h" -#include "src/core/NEON/kernels/NEFillBorderKernel.h" -#include "src/core/NEON/kernels/NEGaussian5x5Kernel.h" -#include "src/core/NEON/kernels/NEGaussianPyramidKernel.h" -#include "src/core/NEON/kernels/NEScaleKernel.h" - -#include <cstddef> - -using namespace arm_compute; - -NEGaussianPyramid::NEGaussianPyramid() - : _input(nullptr), _pyramid(nullptr), _tmp() -{ -} - -NEGaussianPyramidHalf::~NEGaussianPyramidHalf() = default; - -NEGaussianPyramidHalf::NEGaussianPyramidHalf() // NOLINT - : _horizontal_border_handler(), - _vertical_border_handler(), - _horizontal_reduction(), - _vertical_reduction() -{ -} - -void NEGaussianPyramidHalf::configure(const ITensor *input, IPyramid *pyramid, BorderMode border_mode, uint8_t constant_border_value) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); - ARM_COMPUTE_ERROR_ON(nullptr == pyramid); - ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() != pyramid->get_pyramid_level(0)->info()->num_dimensions()); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != pyramid->info()->width()); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != pyramid->info()->height()); - ARM_COMPUTE_ERROR_ON(SCALE_PYRAMID_HALF != pyramid->info()->scale()); - - // Constant value to use for vertical fill border when the border mode is CONSTANT - const uint16_t pixel_value_u16 = static_cast<uint16_t>(constant_border_value) * 2 + static_cast<uint16_t>(constant_border_value) * 8 + static_cast<uint16_t>(constant_border_value) * 6; - - /* Get number of pyramid levels */ - const size_t num_levels = pyramid->info()->num_levels(); - const size_t num_stages = num_levels - 1; - - _input = input; - _pyramid = pyramid; - - if(num_levels > 1) - { - // Apply half scale to the X dimension of the tensor shape - TensorShape tensor_shape = pyramid->info()->tensor_shape(); - tensor_shape.set(0, (pyramid->info()->width() + 1) * SCALE_PYRAMID_HALF); - - PyramidInfo pyramid_info(num_levels - 1, SCALE_PYRAMID_HALF, tensor_shape, Format::S16); - _tmp.init(pyramid_info); - - _horizontal_reduction.clear(); - _vertical_reduction.clear(); - _horizontal_border_handler.clear(); - _vertical_border_handler.clear(); - - _horizontal_reduction.resize(num_stages); - _vertical_reduction.resize(num_stages); - _horizontal_border_handler.resize(num_stages); - _vertical_border_handler.resize(num_stages); - - for(size_t i = 0; i < num_stages; ++i) - { - /* Configure horizontal kernel */ - _horizontal_reduction[i] = std::make_unique<NEGaussianPyramidHorKernel>(); - _horizontal_reduction[i]->configure(_pyramid->get_pyramid_level(i), _tmp.get_pyramid_level(i)); - - /* Configure vertical kernel */ - _vertical_reduction[i] = std::make_unique<NEGaussianPyramidVertKernel>(); - _vertical_reduction[i]->configure(_tmp.get_pyramid_level(i), _pyramid->get_pyramid_level(i + 1)); - - /* Configure border */ - _horizontal_border_handler[i] = std::make_unique<NEFillBorderKernel>(); - _horizontal_border_handler[i]->configure(_pyramid->get_pyramid_level(i), _horizontal_reduction[i]->border_size(), border_mode, PixelValue(constant_border_value)); - - /* Configure border */ - _vertical_border_handler[i] = std::make_unique<NEFillBorderKernel>(); - _vertical_border_handler[i]->configure(_tmp.get_pyramid_level(i), _vertical_reduction[i]->border_size(), border_mode, PixelValue(pixel_value_u16)); - } - - _tmp.allocate(); - } -} - -void NEGaussianPyramidHalf::run() -{ - ARM_COMPUTE_ERROR_ON_MSG(_pyramid == nullptr, "Unconfigured function"); - - /* Get number of pyramid levels */ - const unsigned int num_levels = _pyramid->info()->num_levels(); - - /* The first level of the pyramid has the input image */ - _pyramid->get_pyramid_level(0)->copy_from(*_input); - - for(unsigned int i = 0; i < num_levels - 1; ++i) - { - NEScheduler::get().schedule(_horizontal_border_handler[i].get(), Window::DimZ); - NEScheduler::get().schedule(_horizontal_reduction[i].get(), Window::DimY); - NEScheduler::get().schedule(_vertical_border_handler[i].get(), Window::DimZ); - NEScheduler::get().schedule(_vertical_reduction[i].get(), Window::DimY); - } -} - -NEGaussianPyramidOrb::~NEGaussianPyramidOrb() = default; - -NEGaussianPyramidOrb::NEGaussianPyramidOrb() // NOLINT - : _gaus5x5(), - _scale_nearest() -{ -} - -void NEGaussianPyramidOrb::configure(const ITensor *input, IPyramid *pyramid, BorderMode border_mode, uint8_t constant_border_value) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); - ARM_COMPUTE_ERROR_ON(nullptr == pyramid); - ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() != pyramid->get_pyramid_level(0)->info()->num_dimensions()); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != pyramid->info()->width()); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != pyramid->info()->height()); - ARM_COMPUTE_ERROR_ON(SCALE_PYRAMID_ORB != pyramid->info()->scale()); - - /* Get number of pyramid levels */ - const size_t num_levels = pyramid->info()->num_levels(); - const size_t num_stages = num_levels - 1; - - _input = input; - _pyramid = pyramid; - - _gaus5x5.clear(); - _scale_nearest.clear(); - - _gaus5x5.resize(num_stages); - _scale_nearest.resize(num_stages); - - if(num_levels > 1) - { - PyramidInfo pyramid_info(num_levels - 1, SCALE_PYRAMID_ORB, pyramid->info()->tensor_shape(), Format::U8); - _tmp.init(pyramid_info); - - for(size_t i = 0; i < num_levels - 1; ++i) - { - /* Configure gaussian 5x5 */ - _gaus5x5[i].configure(_pyramid->get_pyramid_level(i), _tmp.get_pyramid_level(i), border_mode, constant_border_value); - - /* Configure scale */ - _scale_nearest[i].configure(_tmp.get_pyramid_level(i), _pyramid->get_pyramid_level(i + 1), ScaleKernelInfo{ InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, PixelValue(), SamplingPolicy::CENTER, false }); - } - - _tmp.allocate(); - } -} - -void NEGaussianPyramidOrb::run() -{ - ARM_COMPUTE_ERROR_ON_MSG(_pyramid == nullptr, "Unconfigured function"); - - /* Get number of pyramid levels */ - const size_t num_levels = _pyramid->info()->num_levels(); - - /* The first level of the pyramid has the input image */ - _pyramid->get_pyramid_level(0)->copy_from(*_input); - - for(unsigned int i = 0; i < num_levels - 1; ++i) - { - _gaus5x5[i].run(); - _scale_nearest[i].run(); - } -} |