全景影像拼接 基于opencv3.0

#include <iostream> #include <fstream> #include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.hpp" #include "opencv2/stitching.hpp" using namespace std; using namespace cv; bool try_use_gpu = false; vector<Mat> imgs; string result_name = "result.jpg"; void printUsage(); int parseCmdArgs(int argc, char** argv); int main() { // //Mat img=imread("D:\\11.jpg"); //imshow("diaoyan",img); //waitKey(6000); //return 0; Mat img = imread("F:\\11.jpg"); imgs.push_back(img); img = imread("F:\\22.jpg"); imgs.push_back(img); img = imread("F:\\33.jpg"); imgs.push_back(img); Mat pano; Stitcher stitcher = Stitcher::createDefault(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 -1; } //imshow("diaoyan",pano ); //waitKey(6000); imwrite(result_name, pano); return 0; } void printUsage() { cout << "Rotation model images stitcher.\n\n" "stitching img1 img2 [...imgN]\n\n" "Flags:\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" " --output <result_img>\n" " The default is 'result.jpg'.\n"; } int parseCmdArgs(int argc, char** argv) { if (argc == 1) { printUsage(); return -1; } for (int i = 1; i < argc; ++i) { if (string(argv[i]) == "--help" || string(argv[i]) == "/?") { printUsage(); return -1; } 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 -1; } i++; } else if (string(argv[i]) == "--output") { result_name = argv[i + 1]; i++; } else { Mat img = imread(argv[i]); if (img.empty()) { cout << "Can't read image '" << argv[i] << "'\n"; return -1; } imgs.push_back(img); } } return 0; }