Никоноров И.Д. ЛР№2 Линейная фильтрация изображений (горизонтальное разбиение). Ядро Гаусса 3x3. OpenMP #152
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added 10 commits
October 13, 2019 22:39
Gaussian_filter/OpenMP/OpenMP.cpp
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| void Gauss(Mat input, Mat output, double** kernel, int kern_size) | ||
| { | ||
| int radius = int(kern_size / 2); | ||
| #pragma omp parallel for num_threads(6) |
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Количество потоков должно задаваться через аргументы командной строки и устанавливаться внутри функции.
Gaussian_filter/OpenMP/OpenMP.cpp
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| int main() { | ||
| Mat image; | ||
| image = imread("55fc619dea60e.jpg", IMREAD_COLOR); |
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Уже писала в комментариях к последовательной версии, что все названия файлов надо передавать через аргументы командной строки.
Gaussian_filter/OpenMP/OpenMP.cpp
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| int main() { | ||
| Mat image; | ||
| image = imread("55fc619dea60e.jpg", IMREAD_COLOR); | ||
| if (!image.data) |
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Это старый интерфейс, надо использовать image.empty()
Gaussian_filter/OpenMP/OpenMP.cpp
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| Gauss(gray_image, my_result, Kernel, k); | ||
| auto end = std::chrono::steady_clock::now(); | ||
| auto elapsed_ms = std::chrono::duration_cast<std::chrono::milliseconds>(end - begin); | ||
| cout << "The time is: " << elapsed_ms.count() << " ms\n"; |
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Необходимо добавить сравнение результатов фильтрации, полученных с использованием последовательной и параллельной реализации.
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@CosmonautComrad, надо внести исправления, которые были описаны в комментариях к последовательной реализации. |
added 2 commits
May 21, 2020 16:57
… сравнение с последовательной версией
…ом и параллельным
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