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main.cpp
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60 lines (47 loc) · 1.57 KB
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#include <iostream>
#include <chrono>
#include <math.h>
#include "TVflow/tvflow.hpp"
int main(int argc, char *argv[])
{
if(argc < 5) {
std::cout << "You have to specify all the required program arguments:" << std::endl;
std::cout << "image type (0-grayscale, 1-rbg), image width (int), image height (int), input path(s) to csv(s)" << std::endl;
return -1;
}
int W{std::stoi(argv[2])};
int H{std::stoi(argv[3])};
double T = 10.0;
double dt = 1.0 / 50.0;
int NOB = int(ceil(T / dt));
int NIT = 100;
double tol = 1e-5;
double lami = 2 * dt;
std::chrono::duration<double> diff{};
if (std::stoi(argv[1]) == 0) {
std::cout << "Grayscale image" << std::endl;
Eigen::MatrixXd f = openData(argv[4]);
auto start = std::chrono::steady_clock::now();
Eigen::VectorXd S = run_TV_flow(f, W, H, NOB, lami, dt, tol, NIT);
auto end = std::chrono::steady_clock::now();
diff = end - start;
saveData("S_test.csv", S);
}
else if (std::stoi(argv[1]) == 1) {
std::cout << "RGB image" << std::endl;
Eigen::MatrixXd r = openData(argv[4]);
Eigen::MatrixXd g = openData(argv[5]);
Eigen::MatrixXd b = openData(argv[6]);
auto start = std::chrono::steady_clock::now();
Eigen::MatrixX3d S = run_TV_flow_RGB(r, g, b, W, H, NOB, lami, dt, tol, NIT);
auto end = std::chrono::steady_clock::now();
diff = end - start;
saveData("S_test.csv", S);
}
else {
std::cout << "Wrong image type" << std::endl;
return -1;
}
std::cout << "Time taken by the program: " << diff.count() << " seconds\n";
return 0;
}