| /* |
| * Copyright (c) 2018 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 "LaplacianReconstruct.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "tests/validation/reference/ArithmeticAddition.h" |
| #include "tests/validation/reference/DepthConvertLayer.h" |
| #include "tests/validation/reference/Scale.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T, typename U> |
| SimpleTensor<U> laplacian_reconstruct(const std::vector<SimpleTensor<T>> &pyramid, const SimpleTensor<T> &low_res, BorderMode border_mode, T constant_border_value) |
| { |
| std::vector<SimpleTensor<T>> tmp_pyramid(pyramid); |
| |
| const size_t last_level = pyramid.size() - 1; |
| const DataType data_type = low_res.data_type(); |
| |
| // input + L(n-1) |
| tmp_pyramid[last_level] = reference::arithmetic_addition(low_res, pyramid[last_level], data_type, ConvertPolicy::SATURATE); |
| |
| // Scale levels n-1 to 1, and add levels n-2 to 0 |
| for(size_t i = last_level; i-- > 0;) |
| { |
| const float scale_x = static_cast<float>(tmp_pyramid[i].shape().x()) / tmp_pyramid[i + 1].shape().x(); |
| const float scale_y = static_cast<float>(tmp_pyramid[i].shape().y()) / tmp_pyramid[i + 1].shape().y(); |
| |
| tmp_pyramid[i] = reference::scale(tmp_pyramid[i + 1], scale_x, scale_y, InterpolationPolicy::NEAREST_NEIGHBOR, |
| border_mode, constant_border_value, SamplingPolicy::CENTER, false); |
| |
| tmp_pyramid[i] = reference::arithmetic_addition(tmp_pyramid[i], pyramid[i], data_type, ConvertPolicy::SATURATE); |
| } |
| |
| return reference::depth_convert<T, U>(tmp_pyramid[0], DataType::U8, ConvertPolicy::SATURATE, 0); |
| } |
| |
| template SimpleTensor<uint8_t> laplacian_reconstruct(const std::vector<SimpleTensor<int16_t>> &pyramid, const SimpleTensor<int16_t> &low_res, BorderMode border_mode, int16_t constant_border_value); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |