| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | #include "kopilov_d_vertical_gauss_filter/omp/include/ops_omp.hpp" | ||
| 2 | |||
| 3 | #include <omp.h> | ||
| 4 | |||
| 5 | #include <array> | ||
| 6 | #include <cstddef> | ||
| 7 | #include <cstdint> | ||
| 8 | #include <utility> | ||
| 9 | #include <vector> | ||
| 10 | |||
| 11 | #include "kopilov_d_vertical_gauss_filter/common/include/common.hpp" | ||
| 12 | #include "util/include/util.hpp" | ||
| 13 | |||
| 14 | namespace kopilov_d_vertical_gauss_filter { | ||
| 15 | |||
| 16 | namespace { | ||
| 17 | const int kDivisor = 16; | ||
| 18 | const std::array<std::array<int, 3>, 3> kGaussKernel = {{{1, 2, 1}, {2, 4, 2}, {1, 2, 1}}}; | ||
| 19 | |||
| 20 | uint8_t GetPixelMirroredOmp(const std::vector<uint8_t> &image, int x, int y, int width, int height) { | ||
| 21 | int new_x = x; | ||
| 22 | int new_y = y; | ||
| 23 | |||
| 24 | if (new_x < 0) { | ||
| 25 | new_x = -new_x - 1; | ||
| 26 | } else if (new_x >= width) { | ||
| 27 | new_x = (2 * width) - new_x - 1; | ||
| 28 | } | ||
| 29 | if (new_y < 0) { | ||
| 30 | new_y = -new_y - 1; | ||
| 31 | } else if (new_y >= height) { | ||
| 32 | new_y = (2 * height) - new_y - 1; | ||
| 33 | } | ||
| 34 | return image[(new_y * width) + new_x]; | ||
| 35 | } | ||
| 36 | } // namespace | ||
| 37 | |||
| 38 | ✗ | KopilovDVerticalGaussFilterOMP::KopilovDVerticalGaussFilterOMP(const InType &in) { | |
| 39 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 40 | GetInput() = in; | ||
| 41 | ✗ | GetOutput() = OutType{}; | |
| 42 | ✗ | } | |
| 43 | |||
| 44 | ✗ | bool KopilovDVerticalGaussFilterOMP::ValidationImpl() { | |
| 45 | const auto &in = GetInput(); | ||
| 46 | |||
| 47 | ✗ | if (in.width <= 0 || in.height <= 0) { | |
| 48 | return false; | ||
| 49 | } | ||
| 50 | ✗ | if (in.data.size() != static_cast<size_t>(in.width) * static_cast<size_t>(in.height)) { | |
| 51 | ✗ | return false; | |
| 52 | } | ||
| 53 | return true; | ||
| 54 | } | ||
| 55 | |||
| 56 | ✗ | bool KopilovDVerticalGaussFilterOMP::PreProcessingImpl() { | |
| 57 | ✗ | return true; | |
| 58 | } | ||
| 59 | |||
| 60 | ✗ | bool KopilovDVerticalGaussFilterOMP::RunImpl() { | |
| 61 | const auto &in = GetInput(); | ||
| 62 | ✗ | int width = in.width; | |
| 63 | ✗ | int height = in.height; | |
| 64 | ✗ | const std::vector<uint8_t> &source_image = in.data; | |
| 65 | ✗ | std::vector<uint8_t> destination_image(static_cast<size_t>(width) * static_cast<size_t>(height)); | |
| 66 | |||
| 67 | ✗ | int num_threads = ppc::util::GetNumThreads(); | |
| 68 | ✗ | omp_set_num_threads(num_threads); | |
| 69 | |||
| 70 | ✗ | #pragma omp parallel for default(none) shared(source_image, destination_image, width, height, kGaussKernel, kDivisor) | |
| 71 | for (int j = 0; j < height; ++j) { | ||
| 72 | for (int i = 0; i < width; ++i) { | ||
| 73 | int pixel_sum = 0; | ||
| 74 | for (int kernel_y = -1; kernel_y <= 1; ++kernel_y) { | ||
| 75 | for (int kernel_x = -1; kernel_x <= 1; ++kernel_x) { | ||
| 76 | pixel_sum += kGaussKernel.at(kernel_y + 1).at(kernel_x + 1) * | ||
| 77 | GetPixelMirroredOmp(source_image, i + kernel_x, j + kernel_y, width, height); | ||
| 78 | } | ||
| 79 | } | ||
| 80 | destination_image[(j * width) + i] = static_cast<uint8_t>(pixel_sum / kDivisor); | ||
| 81 | } | ||
| 82 | } | ||
| 83 | |||
| 84 | ✗ | GetOutput().width = width; | |
| 85 | ✗ | GetOutput().height = height; | |
| 86 | ✗ | GetOutput().data = std::move(destination_image); | |
| 87 | ✗ | return true; | |
| 88 | } | ||
| 89 | |||
| 90 | ✗ | bool KopilovDVerticalGaussFilterOMP::PostProcessingImpl() { | |
| 91 | ✗ | return true; | |
| 92 | } | ||
| 93 | |||
| 94 | } // namespace kopilov_d_vertical_gauss_filter | ||
| 95 |