82 lines
2.1 KiB
C++
82 lines
2.1 KiB
C++
|
// This file is part of OpenCV project.
|
||
|
|
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
||
|
|
// of this distribution and at http://opencv.org/license.html.
|
||
|
|
|
||
|
|
#include <iostream>
|
||
|
|
|
||
|
|
#include <opencv2/dnn_superres.hpp>
|
||
|
|
|
||
|
|
#include <opencv2/imgproc.hpp>
|
||
|
|
#include <opencv2/highgui.hpp>
|
||
|
|
|
||
|
|
using namespace std;
|
||
|
|
using namespace cv;
|
||
|
|
using namespace dnn;
|
||
|
|
using namespace dnn_superres;
|
||
|
|
|
||
|
|
int main(int argc, char *argv[])
|
||
|
|
{
|
||
|
|
// Check for valid command line arguments, print usage
|
||
|
|
// if insufficient arguments were given.
|
||
|
|
if ( argc < 4 ) {
|
||
|
|
cout << "usage: Arg 1: image | Path to image" << endl;
|
||
|
|
cout << "\t Arg 2: algorithm | bilinear, bicubic, edsr, espcn, fsrcnn or lapsrn" << endl;
|
||
|
|
cout << "\t Arg 3: scale | 2, 3 or 4 \n";
|
||
|
|
cout << "\t Arg 4: path to model file \n";
|
||
|
|
return -1;
|
||
|
|
}
|
||
|
|
|
||
|
|
string img_path = string(argv[1]);
|
||
|
|
string algorithm = string(argv[2]);
|
||
|
|
int scale = atoi(argv[3]);
|
||
|
|
string path = "";
|
||
|
|
|
||
|
|
if( argc > 4)
|
||
|
|
path = string(argv[4]);
|
||
|
|
|
||
|
|
// Load the image
|
||
|
|
Mat img = cv::imread(img_path);
|
||
|
|
Mat original_img(img);
|
||
|
|
if ( img.empty() )
|
||
|
|
{
|
||
|
|
std::cerr << "Couldn't load image: " << img << "\n";
|
||
|
|
return -2;
|
||
|
|
}
|
||
|
|
|
||
|
|
//Make dnn super resolution instance
|
||
|
|
DnnSuperResImpl sr;
|
||
|
|
|
||
|
|
Mat img_new;
|
||
|
|
|
||
|
|
if( algorithm == "bilinear" ){
|
||
|
|
resize(img, img_new, Size(), scale, scale, 2);
|
||
|
|
}
|
||
|
|
else if( algorithm == "bicubic" )
|
||
|
|
{
|
||
|
|
resize(img, img_new, Size(), scale, scale, 3);
|
||
|
|
}
|
||
|
|
else if( algorithm == "edsr" || algorithm == "espcn" || algorithm == "fsrcnn" || algorithm == "lapsrn" )
|
||
|
|
{
|
||
|
|
sr.readModel(path);
|
||
|
|
sr.setModel(algorithm, scale);
|
||
|
|
sr.upsample(img, img_new);
|
||
|
|
}
|
||
|
|
else{
|
||
|
|
std::cerr << "Algorithm not recognized. \n";
|
||
|
|
}
|
||
|
|
|
||
|
|
if ( img_new.empty() )
|
||
|
|
{
|
||
|
|
std::cerr << "Upsampling failed. \n";
|
||
|
|
return -3;
|
||
|
|
}
|
||
|
|
cout << "Upsampling succeeded. \n";
|
||
|
|
|
||
|
|
// Display image
|
||
|
|
cv::namedWindow("Initial Image", WINDOW_AUTOSIZE);
|
||
|
|
cv::imshow("Initial Image", img_new);
|
||
|
|
//cv::imwrite("./saved.jpg", img_new);
|
||
|
|
cv::waitKey(0);
|
||
|
|
|
||
|
|
return 0;
|
||
|
|
}
|