| /* |
| * Copyright (c) 2017-2019 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. |
| */ |
| #include "NonLinearFilter.h" |
| #include "Utils.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T> |
| SimpleTensor<T> non_linear_filter(const SimpleTensor<T> &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, |
| uint8_t constant_border_value) |
| { |
| SimpleTensor<T> 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<T>::intermediate_type; |
| |
| const int sq_mask_size = mask_size * mask_size; |
| const int half_mask_size = mask_size / 2; |
| std::vector<intermediate_type> 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)); |
| const uint32_t num_elements = src.num_elements(); |
| |
| for(uint32_t element_idx = 0, count = 0, index = 0; element_idx < 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<intermediate_type>(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<T>(vals[0]); |
| break; |
| case NonLinearFilterFunction::MAX: |
| dst[element_idx] = saturate_cast<T>(vals[count - 1]); |
| break; |
| case NonLinearFilterFunction::MEDIAN: |
| dst[element_idx] = saturate_cast<T>(vals[count / 2]); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Unsupported NonLinearFilter function."); |
| } |
| } |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<uint8_t> non_linear_filter(const SimpleTensor<uint8_t> &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 |