GCC Code Coverage Report

Directory: ./
File: tasks/papulina_y_gauss_filter_block/seq/src/ops_seq.cpp
Date: 2026-01-10 02:40:41
Exec Total Coverage
Lines: 41 41 100.0%
Functions: 7 7 100.0%
Branches: 30 40 75.0%
Line Branch Exec Source
1 #include "papulina_y_gauss_filter_block/seq/include/ops_seq.hpp"
2
3 #include <algorithm>
4 #include <array>
5 #include <cmath>
6 #include <cstddef>
7 #include <vector>
8
9 #include "papulina_y_gauss_filter_block/common/include/common.hpp"
10
11 namespace papulina_y_gauss_filter_block {
12
13
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 558 PapulinaYGaussFilterSEQ::PapulinaYGaussFilterSEQ(const InType &in) {
14 SetTypeOfTask(GetStaticTypeOfTask());
15 GetInput() = in;
16 558 GetOutput() = Picture();
17 558 }
18
19 558 bool PapulinaYGaussFilterSEQ::ValidationImpl() {
20
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 558 return (GetInput().width >= 1 && GetInput().height >= 1);
21 }
22
23 558 bool PapulinaYGaussFilterSEQ::PreProcessingImpl() {
24 Pic_ = GetInput();
25 558 return true;
26 }
27
28 558 bool PapulinaYGaussFilterSEQ::RunImpl() {
29 558 int k = Pic_.channels;
30 Picture result(Pic_.width, Pic_.height, Pic_.channels,
31 558 std::vector<unsigned char>(static_cast<size_t>(Pic_.width * Pic_.height * k), 0));
32
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 10044 for (int col = 0; col < Pic_.width; col++) {
33
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 346284 for (int row = 0; row < Pic_.height; row++) {
34 336798 int index = (row * Pic_.width + col) * k;
35
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 336798 std::vector<unsigned char> pixel_new = NewPixel(row, col);
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 826452 for (int ch = 0; ch < k; ch++) {
37 489654 result.pixels[index + ch] = pixel_new[ch];
38 }
39 }
40 }
41 GetOutput() = result;
42 558 return true;
43 }
44 558 bool PapulinaYGaussFilterSEQ::PostProcessingImpl() {
45 558 return true;
46 }
47 3031182 void PapulinaYGaussFilterSEQ::ClampCoordinates(int &n_x, int &n_y) const {
48
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 5977260 n_x = std::max(0, std::min(Pic_.width - 1, n_x));
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 5977260 n_y = std::max(0, std::min(Pic_.height - 1, n_y));
50 3031182 }
51 336798 std::vector<unsigned char> PapulinaYGaussFilterSEQ::NewPixel(const int &row, const int &col) {
52 static constexpr std::array<float, 9> kErnel = {1.0F / 16, 2.0F / 16, 1.0F / 16, 2.0F / 16, 4.0F / 16,
53 2.0F / 16, 1.0F / 16, 2.0F / 16, 1.0F / 16};
54 const float *kernel_ptr = kErnel.data();
55 336798 int k = Pic_.channels;
56 336798 std::vector<float> sums(k, 0);
57
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 1347192 for (int dx = -1; dx <= 1; dx++) {
58
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 4041576 for (int dy = -1; dy <= 1; dy++) {
59 3031182 int n_x = col + dx;
60 3031182 int n_y = row + dy;
61 3031182 ClampCoordinates(n_x, n_y);
62 3031182 int index = (n_y * Pic_.width + n_x) * k;
63
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 7438068 for (int ch = 0; ch < k; ch++) {
64 4406886 sums[ch] += static_cast<float>(Pic_.pixels[index + ch]) * (*kernel_ptr);
65 }
66 3031182 ++kernel_ptr;
67 }
68 }
69
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 336798 std::vector<unsigned char> result(k);
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 826452 for (int ch = 0; ch < k; ch++) {
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 489654 float value = sums[ch];
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 1468962 value = std::max(0.0F, std::min(255.0F, value));
73 489654 result[ch] = static_cast<unsigned char>(std::lround(value));
74 }
75 336798 return result;
76 }
77 } // namespace papulina_y_gauss_filter_block
78