/* * Copyright (c) 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 src 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 src 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. src NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER src AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * dst OF OR src CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "NonLinearFilter.h" #include "Utils.h" namespace arm_compute { namespace test { namespace validation { namespace reference { template SimpleTensor non_linear_filter(const SimpleTensor &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value) { SimpleTensor dst(src.shape(), src.data_type()); ARM_COMPUTE_ERROR_ON(pattern == MatrixPattern::OTHER && mask == nullptr); ARM_COMPUTE_UNUSED(pattern); using intermediate_type = typename common_promoted_signed_type::intermediate_type; const int sq_mask_size = mask_size * mask_size; const int half_mask_size = mask_size / 2; std::vector vals(sq_mask_size); intermediate_type current_value = 0; const ValidRegion valid_region = shape_to_valid_region(src.shape(), border_mode == BorderMode::UNDEFINED, BorderSize(half_mask_size)); for(int element_idx = 0, count = 0, index = 0; element_idx < src.num_elements(); ++element_idx, count = 0, index = 0) { Coordinates id = index2coord(src.shape(), element_idx); if(is_in_valid_region(valid_region, id)) { int idx = id.x(); int idy = id.y(); for(int y = idy - half_mask_size; y <= idy + half_mask_size; ++y) { for(int x = idx - half_mask_size; x <= idx + half_mask_size; ++x, ++index) { id.set(0, x); id.set(1, y); current_value = tensor_elem_at(src, id, border_mode, constant_border_value); if(mask[index] == 255) { vals[count] = static_cast(current_value); ++count; } } } std::sort(vals.begin(), vals.begin() + count); ARM_COMPUTE_ERROR_ON(count == 0); switch(function) { case NonLinearFilterFunction::MIN: dst[element_idx] = saturate_cast(vals[0]); break; case NonLinearFilterFunction::MAX: dst[element_idx] = saturate_cast(vals[count - 1]); break; case NonLinearFilterFunction::MEDIAN: dst[element_idx] = saturate_cast(vals[count / 2]); break; default: ARM_COMPUTE_ERROR("Unsupported NonLinearFilter function."); } } } return dst; } template SimpleTensor non_linear_filter(const SimpleTensor &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value); } // namespace reference } // namespace validation } // namespace test } // namespace arm_compute