| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | #include "kolotukhin_a_gaussian_blur/tbb/include/ops_tbb.hpp" | ||
| 2 | |||
| 3 | #include <tbb/blocked_range2d.h> | ||
| 4 | #include <tbb/parallel_for.h> | ||
| 5 | |||
| 6 | #include <algorithm> | ||
| 7 | #include <array> | ||
| 8 | #include <cstddef> | ||
| 9 | #include <cstdint> | ||
| 10 | #include <vector> | ||
| 11 | |||
| 12 | #include "kolotukhin_a_gaussian_blur/common/include/common.hpp" | ||
| 13 | |||
| 14 | namespace kolotukhin_a_gaussian_blur { | ||
| 15 | |||
| 16 |
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16 | KolotukhinAGaussinBlureTBB::KolotukhinAGaussinBlureTBB(const InType &in) { |
| 17 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 18 | GetInput() = in; | ||
| 19 | GetOutput().clear(); | ||
| 20 | 16 | } | |
| 21 | |||
| 22 | 16 | bool KolotukhinAGaussinBlureTBB::ValidationImpl() { | |
| 23 | const auto &pixel_data = get<0>(GetInput()); | ||
| 24 | 16 | const auto img_width = get<1>(GetInput()); | |
| 25 | 16 | const auto img_height = get<2>(GetInput()); | |
| 26 | |||
| 27 | 16 | return static_cast<std::size_t>(img_height) * static_cast<std::size_t>(img_width) == pixel_data.size(); | |
| 28 | } | ||
| 29 | |||
| 30 | 16 | bool KolotukhinAGaussinBlureTBB::PreProcessingImpl() { | |
| 31 | 16 | const auto img_width = get<1>(GetInput()); | |
| 32 | 16 | const auto img_height = get<2>(GetInput()); | |
| 33 | |||
| 34 | 16 | GetOutput().assign(static_cast<std::size_t>(img_height) * static_cast<std::size_t>(img_width), 0); | |
| 35 | 16 | return true; | |
| 36 | } | ||
| 37 | |||
| 38 | 16 | bool KolotukhinAGaussinBlureTBB::RunImpl() { | |
| 39 | const auto &pixel_data = get<0>(GetInput()); | ||
| 40 | 16 | const auto img_width = get<1>(GetInput()); | |
| 41 | 16 | const auto img_height = get<2>(GetInput()); | |
| 42 | |||
| 43 | const static std::array<std::array<int, 3>, 3> kKernel = {{{{1, 2, 1}}, {{2, 4, 2}}, {{1, 2, 1}}}}; | ||
| 44 | const static int kSum = 16; | ||
| 45 | |||
| 46 | auto &output = GetOutput(); | ||
| 47 | |||
| 48 | 16 | tbb::parallel_for(tbb::blocked_range2d<int>(0, img_height, 0, img_width), | |
| 49 | 172 | [&](const tbb::blocked_range2d<int> &range) { | |
| 50 |
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312 | for (int row = range.rows().begin(); row < range.rows().end(); row++) { |
| 51 |
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312 | for (int col = range.cols().begin(); col < range.cols().end(); col++) { |
| 52 | int acc = 0; | ||
| 53 |
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624 | for (int dy = -1; dy <= 1; dy++) { |
| 54 |
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1872 | for (int dx = -1; dx <= 1; dx++) { |
| 55 | 1404 | std::uint8_t pixel = GetPixel(pixel_data, img_width, img_height, col + dx, row + dy); | |
| 56 | 1404 | acc += kKernel.at(1 + dy).at(1 + dx) * static_cast<int>(pixel); | |
| 57 | } | ||
| 58 | } | ||
| 59 | 156 | output[(static_cast<std::size_t>(row) * static_cast<std::size_t>(img_width)) + static_cast<std::size_t>(col)] = | |
| 60 | 156 | static_cast<std::uint8_t>(acc / kSum); | |
| 61 | } | ||
| 62 | } | ||
| 63 | 156 | }); | |
| 64 | |||
| 65 | 16 | return true; | |
| 66 | } | ||
| 67 | |||
| 68 | 1404 | std::uint8_t KolotukhinAGaussinBlureTBB::GetPixel(const std::vector<std::uint8_t> &pixel_data, int img_width, | |
| 69 | int img_height, int pos_x, int pos_y) { | ||
| 70 |
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1548 | std::size_t x = static_cast<std::size_t>(std::max(0, std::min(pos_x, img_width - 1))); |
| 71 |
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1560 | std::size_t y = static_cast<std::size_t>(std::max(0, std::min(pos_y, img_height - 1))); |
| 72 | 1404 | return pixel_data[(y * static_cast<std::size_t>(img_width)) + x]; | |
| 73 | } | ||
| 74 | |||
| 75 | 16 | bool KolotukhinAGaussinBlureTBB::PostProcessingImpl() { | |
| 76 | 16 | return true; | |
| 77 | } | ||
| 78 | |||
| 79 | } // namespace kolotukhin_a_gaussian_blur | ||
| 80 |