mirror of
https://github.com/opencv/opencv.git
synced 2024-11-30 22:40:17 +08:00
120 lines
3.2 KiB
C++
120 lines
3.2 KiB
C++
|
|
#include "opencv2/imgcodecs.hpp"
|
|
#include "opencv2/highgui.hpp"
|
|
#include "opencv2/stitching.hpp"
|
|
|
|
#include <iostream>
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
|
|
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;
|
|
|
|
//![stitching]
|
|
Mat pano;
|
|
Ptr<Stitcher> stitcher = Stitcher::create(mode);
|
|
Stitcher::Status status = stitcher->stitch(imgs, pano);
|
|
|
|
if (status != Stitcher::OK)
|
|
{
|
|
cout << "Can't stitch images, error code = " << int(status) << endl;
|
|
return EXIT_FAILURE;
|
|
}
|
|
//![stitching]
|
|
|
|
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"
|
|
" --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 --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]) == "--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;
|
|
}
|