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|---|---|---|---|
| 1 | #include "shemetov_d_gauss_filter_linear/seq/include/ops_seq.hpp" | ||
| 2 | |||
| 3 | #include <algorithm> | ||
| 4 | #include <cstdint> | ||
| 5 | #include <vector> | ||
| 6 | |||
| 7 | #include "shemetov_d_gauss_filter_linear/common/include/common.hpp" | ||
| 8 | |||
| 9 | namespace shemetov_d_gauss_filter_linear { | ||
| 10 | |||
| 11 |
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32 | GaussFilterSEQ::GaussFilterSEQ(const InType &in) { |
| 12 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 13 |
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32 | GetInput() = in; |
| 14 |
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32 | GetOutput() = in; |
| 15 | 32 | } | |
| 16 | |||
| 17 | 2080752 | Pixel GaussFilterSEQ::ApplyKernel(const InType &in, int i, int j, const std::vector<std::vector<float>> &kernel) { | |
| 18 | 2080752 | float channel_red = 0.F; | |
| 19 | 2080752 | float channel_green = 0.F; | |
| 20 | 2080752 | float channel_blue = 0.F; | |
| 21 | |||
| 22 |
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8323008 | for (int ki = -1; ki <= 1; ++ki) { |
| 23 |
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24969024 | for (int kj = -1; kj <= 1; ++kj) { |
| 24 | 18726768 | const auto &lnk_pixel = in[i + ki][j + kj]; | |
| 25 | 18726768 | float coefficient = kernel[ki + 1][kj + 1]; | |
| 26 | |||
| 27 | 18726768 | channel_red += coefficient * static_cast<float>(lnk_pixel.channel_red); | |
| 28 | 18726768 | channel_green += coefficient * static_cast<float>(lnk_pixel.channel_green); | |
| 29 | 18726768 | channel_blue += coefficient * static_cast<float>(lnk_pixel.channel_blue); | |
| 30 | } | ||
| 31 | } | ||
| 32 | |||
| 33 | 2080752 | Pixel m_pixel = {.channel_red = static_cast<uint8_t>(std::clamp(channel_red, 0.F, 255.F)), | |
| 34 | 2080752 | .channel_green = static_cast<uint8_t>(std::clamp(channel_green, 0.F, 255.F)), | |
| 35 | 2080752 | .channel_blue = static_cast<uint8_t>(std::clamp(channel_blue, 0.F, 255.F))}; | |
| 36 | 2080752 | return m_pixel; | |
| 37 | } | ||
| 38 | |||
| 39 |
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32 | bool GaussFilterSEQ::ValidationImpl() { |
| 40 | const auto &in = GetInput(); | ||
| 41 |
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32 | return !in.empty() && !in[0].empty(); |
| 42 | } | ||
| 43 | |||
| 44 | 32 | bool GaussFilterSEQ::PreProcessingImpl() { | |
| 45 | 32 | return true; | |
| 46 | } | ||
| 47 | |||
| 48 |
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32 | bool GaussFilterSEQ::RunImpl() { |
| 49 | const auto &in = GetInput(); | ||
| 50 | auto &out = GetOutput(); | ||
| 51 | |||
| 52 | 32 | height = static_cast<int>(in.size()); | |
| 53 | 32 | width = static_cast<int>(in[0].size()); | |
| 54 | |||
| 55 |
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32 | if (height < 3 || width < 3) { |
| 56 | 8 | out = in; | |
| 57 | 8 | return true; | |
| 58 | } | ||
| 59 | |||
| 60 | const std::vector<std::vector<float>> kernel = { | ||
| 61 |
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96 | {1.F / 16, 2.F / 16, 1.F / 16}, {2.F / 16, 4.F / 16, 2.F / 16}, {1.F / 16, 2.F / 16, 1.F / 16}}; |
| 62 | |||
| 63 |
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5224 | for (int i = 1; i < height - 1; i++) { |
| 64 |
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2085952 | for (int j = 1; j < width - 1; j++) { |
| 65 | 2080752 | out[i][j] = ApplyKernel(in, i, j, kernel); | |
| 66 | } | ||
| 67 | } | ||
| 68 | |||
| 69 | return true; | ||
| 70 |
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48 | } |
| 71 | |||
| 72 | 32 | bool GaussFilterSEQ::PostProcessingImpl() { | |
| 73 | 32 | return true; | |
| 74 | } | ||
| 75 | |||
| 76 | } // namespace shemetov_d_gauss_filter_linear | ||
| 77 |