| OpenCV 3.4.7 Open Source Computer Vision

samples/cpp/stitching.cpp

A basic example on image stitching

#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/stitching.hpp"
#include <iostream>
using namespace std;
using namespace cv;
bool try_use_gpu = false;
bool divide_images = false;
Stitcher::Mode mode = Stitcher::PANORAMA;
vector<Mat> imgs;
string result_name = "result.jpg";
void printUsage(char** argv);
int parseCmdArgs(int argc, char** argv);
int main(int argc, char* argv[])
{
int retval = parseCmdArgs(argc, argv);
if (retval) return EXIT_FAILURE;
Mat pano;
Ptr<Stitcher> stitcher = Stitcher::create(mode, try_use_gpu);
Stitcher::Status status = stitcher->stitch(imgs, pano);
if (status != Stitcher::OK)
{
cout << "Can't stitch images, error code = " << int(status) << endl;
return EXIT_FAILURE;
}
imwrite(result_name, pano);
cout << "stitching completed successfully\n" << result_name << " saved!";
return EXIT_SUCCESS;
}
void printUsage(char** argv)
{
cout <<
"Images stitcher.\n\n" << "Usage :\n" << argv[0] <<" [Flags] img1 img2 [...imgN]\n\n"
"Flags:\n"
" --d3\n"
" internally creates three chunks of each image to increase stitching success\n"
" --try_use_gpu (yes|no)\n"
" Try to use GPU. The default value is 'no'. All default values\n"
" are for CPU mode.\n"
" --mode (panorama|scans)\n"
" Determines configuration of stitcher. The default is 'panorama',\n"
" mode suitable for creating photo panoramas. Option 'scans' is suitable\n"
" for stitching materials under affine transformation, such as scans.\n"
" --output <result_img>\n"
" The default is 'result.jpg'.\n\n"
"Example usage :\n" << argv[0] << " --d3 --try_use_gpu yes --mode scans img1.jpg img2.jpg\n";
}
int parseCmdArgs(int argc, char** argv)
{
if (argc == 1)
{
printUsage(argv);
return EXIT_FAILURE;
}
for (int i = 1; i < argc; ++i)
{
if (string(argv[i]) == "--help" || string(argv[i]) == "/?")
{
printUsage(argv);
return EXIT_FAILURE;
}
else if (string(argv[i]) == "--try_use_gpu")
{
if (string(argv[i + 1]) == "no")
try_use_gpu = false;
else if (string(argv[i + 1]) == "yes")
try_use_gpu = true;
else
{
cout << "Bad --try_use_gpu flag value\n";
return EXIT_FAILURE;
}
i++;
}
else if (string(argv[i]) == "--d3")
{
divide_images = true;
}
else if (string(argv[i]) == "--output")
{
result_name = argv[i + 1];
i++;
}
else if (string(argv[i]) == "--mode")
{
if (string(argv[i + 1]) == "panorama")
mode = Stitcher::PANORAMA;
else if (string(argv[i + 1]) == "scans")
mode = Stitcher::SCANS;
else
{
cout << "Bad --mode flag value\n";
return EXIT_FAILURE;
}
i++;
}
else
{
Mat img = imread(samples::findFile(argv[i]));
if (img.empty())
{
cout << "Can't read image '" << argv[i] << "'\n";
return EXIT_FAILURE;
}
if (divide_images)
{
Rect rect(0, 0, img.cols / 2, img.rows);
imgs.push_back(img(rect).clone());
rect.x = img.cols / 3;
imgs.push_back(img(rect).clone());
rect.x = img.cols / 2;
imgs.push_back(img(rect).clone());
}
else
imgs.push_back(img);
}
}
return EXIT_SUCCESS;
}