| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | #include "fedoseev_linear_image_filtering_vertical/omp/include/ops_omp.hpp" | ||
| 2 | |||
| 3 | #include <omp.h> | ||
| 4 | |||
| 5 | #include <algorithm> | ||
| 6 | #include <array> | ||
| 7 | #include <cstddef> | ||
| 8 | #include <vector> | ||
| 9 | |||
| 10 | #include "fedoseev_linear_image_filtering_vertical/common/include/common.hpp" | ||
| 11 | |||
| 12 | namespace fedoseev_linear_image_filtering_vertical { | ||
| 13 | |||
| 14 | namespace { | ||
| 15 | int GetPixel(const std::vector<int> &src, int w, int h, int col, int row) { | ||
| 16 | col = std::clamp(col, 0, w - 1); | ||
| 17 | row = std::clamp(row, 0, h - 1); | ||
| 18 | return src[(static_cast<size_t>(row) * static_cast<size_t>(w)) + static_cast<size_t>(col)]; | ||
| 19 | } | ||
| 20 | } // namespace | ||
| 21 | |||
| 22 |
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80 | LinearImageFilteringVerticalOMP::LinearImageFilteringVerticalOMP(const InType &in) { |
| 23 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 24 | GetInput() = in; | ||
| 25 | 80 | GetOutput() = InType{}; | |
| 26 | 80 | } | |
| 27 | |||
| 28 | 80 | bool LinearImageFilteringVerticalOMP::ValidationImpl() { | |
| 29 | const InType &input = GetInput(); | ||
| 30 |
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80 | if (input.width < 3 || input.height < 3) { |
| 31 | return false; | ||
| 32 | } | ||
| 33 |
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80 | if (input.data.size() != static_cast<size_t>(input.width) * static_cast<size_t>(input.height)) { |
| 34 | ✗ | return false; | |
| 35 | } | ||
| 36 | return true; | ||
| 37 | } | ||
| 38 | |||
| 39 | 80 | bool LinearImageFilteringVerticalOMP::PreProcessingImpl() { | |
| 40 | const InType &input = GetInput(); | ||
| 41 | 80 | OutType output; | |
| 42 | 80 | output.width = input.width; | |
| 43 | 80 | output.height = input.height; | |
| 44 |
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80 | output.data.resize(static_cast<size_t>(input.width) * static_cast<size_t>(input.height), 0); |
| 45 | GetOutput() = output; | ||
| 46 | 80 | return true; | |
| 47 | } | ||
| 48 | |||
| 49 | 80 | bool LinearImageFilteringVerticalOMP::RunImpl() { | |
| 50 | const InType &input = GetInput(); | ||
| 51 | OutType &output = GetOutput(); | ||
| 52 | |||
| 53 | 80 | int w = input.width; | |
| 54 | 80 | int h = input.height; | |
| 55 | 80 | const std::vector<int> &src = input.data; | |
| 56 | 80 | std::vector<int> &dst = output.data; | |
| 57 | |||
| 58 | 80 | const std::array<std::array<int, 3>, 3> kernel = {{{{1, 2, 1}}, {{2, 4, 2}}, {{1, 2, 1}}}}; | |
| 59 | const int kernel_sum = 16; | ||
| 60 | const int block_width = 64; | ||
| 61 | |||
| 62 | 80 | #pragma omp parallel for schedule(static) default(none) shared(w, h, src, dst, kernel, kernel_sum, block_width) | |
| 63 | for (int col_start = 0; col_start < w; col_start += block_width) { | ||
| 64 | int col_end = std::min(col_start + block_width, w); | ||
| 65 | for (int row = 0; row < h; ++row) { | ||
| 66 | for (int col = col_start; col < col_end; ++col) { | ||
| 67 | int sum = 0; | ||
| 68 | for (int ky = 0; ky < 3; ++ky) { | ||
| 69 | for (int kx = 0; kx < 3; ++kx) { | ||
| 70 | int px = col + kx - 1; | ||
| 71 | int py = row + ky - 1; | ||
| 72 | int pixel = GetPixel(src, w, h, px, py); | ||
| 73 | sum += pixel * kernel.at(ky).at(kx); | ||
| 74 | } | ||
| 75 | } | ||
| 76 | dst[(static_cast<size_t>(row) * static_cast<size_t>(w)) + static_cast<size_t>(col)] = sum / kernel_sum; | ||
| 77 | } | ||
| 78 | } | ||
| 79 | } | ||
| 80 | |||
| 81 | 80 | return true; | |
| 82 | } | ||
| 83 | |||
| 84 | 80 | bool LinearImageFilteringVerticalOMP::PostProcessingImpl() { | |
| 85 | 80 | return true; | |
| 86 | } | ||
| 87 | |||
| 88 | } // namespace fedoseev_linear_image_filtering_vertical | ||
| 89 |