| /* |
| * 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 "LaplacianPyramid.h" |
| |
| #include "tests/validation/reference/ArithmeticSubtraction.h" |
| #include "tests/validation/reference/DepthConvertLayer.h" |
| #include "tests/validation/reference/Gaussian5x5.h" |
| #include "tests/validation/reference/GaussianPyramidHalf.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T, typename U> |
| std::vector<SimpleTensor<U>> laplacian_pyramid(const SimpleTensor<T> &src, SimpleTensor<U> &dst, size_t num_levels, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| std::vector<SimpleTensor<T>> pyramid_conv; |
| std::vector<SimpleTensor<U>> pyramid_dst; |
| |
| // First, a Gaussian pyramid with SCALE_PYRAMID_HALF is created |
| std::vector<SimpleTensor<T>> gaussian_level_pyramid = reference::gaussian_pyramid_half(src, border_mode, constant_border_value, num_levels); |
| |
| // For each level i, the corresponding image Ii is blurred with Gaussian 5x5 |
| // filter, and the difference between the two images is the corresponding |
| // level Li of the Laplacian pyramid |
| for(size_t i = 0; i < num_levels; ++i) |
| { |
| const SimpleTensor<T> level_filtered = reference::gaussian5x5(gaussian_level_pyramid[i], border_mode, constant_border_value); |
| pyramid_conv.push_back(level_filtered); |
| |
| const SimpleTensor<U> level_sub = reference::arithmetic_subtraction<T, T, U>(gaussian_level_pyramid[i], level_filtered, dst.data_type(), ConvertPolicy::WRAP); |
| pyramid_dst.push_back(level_sub); |
| } |
| |
| // Return the lowest resolution image and the pyramid |
| dst = depth_convert<T, U>(pyramid_conv[num_levels - 1], DataType::S16, ConvertPolicy::WRAP, 0); |
| |
| return pyramid_dst; |
| } |
| |
| template std::vector<SimpleTensor<int16_t>> laplacian_pyramid(const SimpleTensor<uint8_t> &src, SimpleTensor<int16_t> &dst, size_t num_levels, BorderMode border_mode, uint8_t constant_border_value); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |