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main.cu
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main.cu
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#include <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <string>
#include "cuda_convolution.cu"
#include "convolution.cpp"
#include "omp_convolution.cpp"
// Compile with:
// nvcc main.cu -I /usr/local/include/opencv4/ -L /usr/local/lib -lopencv_core -lopencv_imgcodecs -lopencv_highgui -lgomp -o main -Xcompiler -fopenmp
#define TEST 1
int release(int argc, const char *argv[]){
std::string file_name = argv[1];
std::string kernel = argv[2];
std::string algorithm = argv[3];
std::string path = "images/" + file_name;
cv::Mat img = cv::imread(path, cv::IMREAD_GRAYSCALE);
if (img.empty()){
std::cout << "Could not read the image: " << file_name << std::endl;
return 1;
}
float kernel_h[KER*KER];
if (kernel == "blur") {
gaussian_kernel(kernel_h, 1);
}
else if (kernel == "sharpen") {
sharpen_kernel(kernel_h);
}
else if (kernel == "edge") {
edge_kernel(kernel_h);
}
else if (kernel == "emboss") {
emboss_kernel(kernel_h);
}
else {
std::cout << "Invalid kernel" << std::endl;
return 1;
}
if (algorithm == "seq") {
cv::Mat out = seq_convolution(img, kernel_h);
cv::imshow("Original", img);
cv::imshow("Convolution", out);
cv::waitKey(0);
}
else if (algorithm == "omp") {
cv::Mat out = omp_convolution(img, kernel_h);
cv::imshow("Original", img);
cv::imshow("Convolution", out);
cv::waitKey(0);
}
else if (algorithm == "cuda") {
cv::Mat out = cuda_convolution(img, kernel_h);
cv::imshow("Original", img);
cv::imshow("Convolution", out);
cv::waitKey(0);
}
else if (algorithm == "opencv") {
cv::Mat out;
double start = omp_get_wtime();
cv::filter2D(img, out, -1, cv::Mat(KER, KER, CV_32F, kernel_h));
double end = omp_get_wtime();
std::cout << end - start << std::endl;
cv::imshow("Original", img);
cv::imshow("Convolution", out);
cv::waitKey(0);
}
else {
std::cout << "Invalid algorithm" << std::endl;
return 1;
}
return 0;
}
int test(int argc, const char *argv[]){
int N = atoi(argv[1]);
std::string kernel = argv[2];
std::string algorithm = argv[3];
cv::Mat img = cv::Mat(N, N, CV_8UC1);
cv::randu(img, cv::Scalar(0), cv::Scalar(255));
float kernel_h[KER*KER] __attribute__ ((aligned (32)));
if (kernel == "blur") {
gaussian_kernel(kernel_h, 1);
}
else {
std::cout << "Invalid kernel" << std::endl;
return 1;
}
if (algorithm == "cuda") {
cv::Mat out = cuda_convolution(img, kernel_h);
}
else if (algorithm == "seq") {
cv::Mat out = seq_convolution(img, kernel_h);
}
else if (algorithm == "omp") {
cv::Mat out = omp_convolution(img, kernel_h);
}
else if (algorithm == "opencv") {
cv::Mat out;
double start = omp_get_wtime();
cv::filter2D(img, out, -1, cv::Mat(KER, KER, CV_32F, kernel_h));
double end = omp_get_wtime();
std::cout << end - start << std::endl;
}
else {
std::cout << "Invalid algorithm" << std::endl;
return 1;
}
return 0;
}
int main(int argc, const char *argv[]){
#if TEST
test(argc, argv);
#else
release(argc, argv);
#endif
}