mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
249 lines
7.8 KiB
249 lines
7.8 KiB
#include <opencv2/core/core.hpp> |
|
#include <opencv2/highgui/highgui.hpp> |
|
#include "util.hpp" |
|
#include "warpers.hpp" |
|
#include "blenders.hpp" |
|
#include "seam_finders.hpp" |
|
#include "motion_estimators.hpp" |
|
|
|
using namespace std; |
|
using namespace cv; |
|
|
|
void printUsage() |
|
{ |
|
cout << "Rotation model images stitcher.\n\n"; |
|
cout << "Usage: opencv_stitching img1 img2 [...imgN]\n" |
|
<< "\t[--matchconf <float>]\n" |
|
<< "\t[--ba (ray|focal_ray)]\n" |
|
<< "\t[--ba_thresh <float>]\n" |
|
<< "\t[--wavecorrect (no|yes)]\n" |
|
<< "\t[--warp (plane|cylindrical|spherical)]\n" |
|
<< "\t[--seam (no|voronoi|graphcut)]\n" |
|
<< "\t[--blend (no|feather|multiband)]\n" |
|
<< "\t[--output <result_img>]\n\n"; |
|
cout << "--matchconf\n" |
|
<< "\tGood values are in [0.2, 0.8] range usually.\n\n"; |
|
cout << "--ba_thresh\n" |
|
<< "\tGood values are in [0.3, 1.0] range usually.\n"; |
|
} |
|
|
|
int main(int argc, char* argv[]) |
|
{ |
|
cv::setBreakOnError(true); |
|
|
|
vector<Mat> images; |
|
string result_name = "result.png"; |
|
int ba_space = BundleAdjuster::FOCAL_RAY_SPACE; |
|
float ba_thresh = 1.f; |
|
bool wave_correct = true; |
|
int warp_type = Warper::SPHERICAL; |
|
bool user_match_conf = false; |
|
float match_conf = 0.55f; |
|
int seam_find_type = SeamFinder::GRAPH_CUT; |
|
int blend_type = Blender::MULTI_BAND; |
|
|
|
if (argc == 1) |
|
{ |
|
printUsage(); |
|
return 0; |
|
} |
|
|
|
for (int i = 1; i < argc; ++i) |
|
{ |
|
if (string(argv[i]) == "--result") |
|
{ |
|
result_name = argv[i + 1]; |
|
i++; |
|
} |
|
else if (string(argv[i]) == "--matchconf") |
|
{ |
|
user_match_conf = true; |
|
match_conf = static_cast<float>(atof(argv[i + 1])); |
|
i++; |
|
} |
|
else if (string(argv[i]) == "--ba") |
|
{ |
|
if (string(argv[i + 1]) == "ray") |
|
ba_space = BundleAdjuster::RAY_SPACE; |
|
else if (string(argv[i + 1]) == "focal_ray") |
|
ba_space = BundleAdjuster::FOCAL_RAY_SPACE; |
|
else |
|
{ |
|
cout << "Bad bundle adjustment space\n"; |
|
return -1; |
|
} |
|
i++; |
|
} |
|
else if (string(argv[i]) == "--ba_thresh") |
|
{ |
|
ba_thresh = static_cast<float>(atof(argv[i + 1])); |
|
i++; |
|
} |
|
else if (string(argv[i]) == "--wavecorrect") |
|
{ |
|
if (string(argv[i + 1]) == "no") |
|
wave_correct = false; |
|
else if (string(argv[i + 1]) == "yes") |
|
wave_correct = true; |
|
else |
|
{ |
|
cout << "Bad wave correct flag value\n"; |
|
return -1; |
|
} |
|
i++; |
|
} |
|
else if (string(argv[i]) == "--warp") |
|
{ |
|
if (string(argv[i + 1]) == "plane") |
|
warp_type = Warper::PLANE; |
|
else if (string(argv[i + 1]) == "cylindrical") |
|
warp_type = Warper::CYLINDRICAL; |
|
else if (string(argv[i + 1]) == "spherical") |
|
warp_type = Warper::SPHERICAL; |
|
else |
|
{ |
|
cout << "Bad warping method\n"; |
|
return -1; |
|
} |
|
i++; |
|
} |
|
else if (string(argv[i]) == "--seam") |
|
{ |
|
if (string(argv[i + 1]) == "no") |
|
seam_find_type = SeamFinder::NO; |
|
else if (string(argv[i + 1]) == "voronoi") |
|
seam_find_type = SeamFinder::VORONOI; |
|
else if (string(argv[i + 1]) == "graphcut") |
|
seam_find_type = SeamFinder::GRAPH_CUT; |
|
else |
|
{ |
|
cout << "Bad seam finding method\n"; |
|
return -1; |
|
} |
|
i++; |
|
} |
|
else if (string(argv[i]) == "--blend") |
|
{ |
|
if (string(argv[i + 1]) == "no") |
|
blend_type = Blender::NO; |
|
else if (string(argv[i + 1]) == "feather") |
|
blend_type = Blender::FEATHER; |
|
else if (string(argv[i + 1]) == "multiband") |
|
blend_type = Blender::MULTI_BAND; |
|
else |
|
{ |
|
cout << "Bad blending method\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 open image " << argv[i] << endl; |
|
return -1; |
|
} |
|
images.push_back(img); |
|
} |
|
} |
|
|
|
const int num_images = static_cast<int>(images.size()); |
|
if (num_images < 2) |
|
{ |
|
cout << "Need more images\n"; |
|
return -1; |
|
} |
|
|
|
LOGLN("Finding features..."); |
|
vector<ImageFeatures> features; |
|
SurfFeaturesFinder finder; |
|
finder(images, features); |
|
|
|
LOGLN("Pairwise matching..."); |
|
vector<MatchesInfo> pairwise_matches; |
|
BestOf2NearestMatcher matcher; |
|
if (user_match_conf) |
|
matcher = BestOf2NearestMatcher(true, match_conf); |
|
matcher(images, features, pairwise_matches); |
|
|
|
LOGLN("Estimating rotations..."); |
|
HomographyBasedEstimator estimator; |
|
vector<CameraParams> cameras; |
|
estimator(images, features, pairwise_matches, cameras); |
|
|
|
for (size_t i = 0; i < cameras.size(); ++i) |
|
{ |
|
Mat R; |
|
cameras[i].M.convertTo(R, CV_32F); |
|
cameras[i].M = R; |
|
LOGLN("Initial focal length " << i << ": " << cameras[i].focal); |
|
} |
|
|
|
LOGLN("Bundle adjustment..."); |
|
BundleAdjuster adjuster(ba_space, ba_thresh); |
|
adjuster(images, features, pairwise_matches, cameras); |
|
|
|
if (wave_correct) |
|
{ |
|
LOGLN("Wave correcting..."); |
|
vector<Mat> rmats; |
|
for (size_t i = 0; i < cameras.size(); ++i) |
|
rmats.push_back(cameras[i].M); |
|
waveCorrect(rmats); |
|
for (size_t i = 0; i < cameras.size(); ++i) |
|
cameras[i].M = rmats[i]; |
|
} |
|
|
|
// Find median focal length |
|
vector<double> focals; |
|
for (size_t i = 0; i < cameras.size(); ++i) |
|
{ |
|
LOGLN("Camera focal length " << i << ": " << cameras[i].focal); |
|
focals.push_back(cameras[i].focal); |
|
} |
|
nth_element(focals.begin(), focals.end(), focals.begin() + focals.size() / 2); |
|
float camera_focal = static_cast<float>(focals[focals.size() / 2]); |
|
|
|
vector<Mat> masks(num_images); |
|
for (int i = 0; i < num_images; ++i) |
|
{ |
|
masks[i].create(images[i].size(), CV_8U); |
|
masks[i].setTo(Scalar::all(255)); |
|
} |
|
|
|
vector<Point> corners(num_images); |
|
vector<Mat> masks_warped(num_images); |
|
vector<Mat> images_warped(num_images); |
|
|
|
LOGLN("Warping images..."); |
|
Ptr<Warper> warper = Warper::createByCameraFocal(camera_focal, warp_type); |
|
for (int i = 0; i < num_images; ++i) |
|
{ |
|
corners[i] = (*warper)(images[i], static_cast<float>(cameras[i].focal), cameras[i].M, images_warped[i]); |
|
(*warper)(masks[i], static_cast<float>(cameras[i].focal), cameras[i].M, masks_warped[i], INTER_NEAREST, BORDER_CONSTANT); |
|
} |
|
vector<Mat> images_f(num_images); |
|
for (int i = 0; i < num_images; ++i) |
|
images_warped[i].convertTo(images_f[i], CV_32F); |
|
|
|
LOGLN("Finding seams..."); |
|
Ptr<SeamFinder> seam_finder = SeamFinder::createDefault(seam_find_type); |
|
(*seam_finder)(images_f, corners, masks_warped); |
|
|
|
LOGLN("Blending images..."); |
|
Mat result, result_mask; |
|
Ptr<Blender> blender = Blender::createDefault(blend_type); |
|
(*blender)(images_f, corners, masks_warped, result, result_mask); |
|
|
|
imwrite(result_name, result); |
|
|
|
LOGLN("Finished"); |
|
return 0; |
|
}
|
|
|