Commit 71ca501b authored by Alexey Spizhevoy's avatar Alexey Spizhevoy

added parameters controlling resolution into opencv_stitching

parent 98f090e3
...@@ -13,6 +13,9 @@ void printUsage() ...@@ -13,6 +13,9 @@ void printUsage()
{ {
cout << "Rotation model images stitcher.\n\n"; cout << "Rotation model images stitcher.\n\n";
cout << "Usage: opencv_stitching img1 img2 [...imgN]\n" cout << "Usage: opencv_stitching img1 img2 [...imgN]\n"
<< "\t[--trygpu (yes|no)]\n"
<< "\t[--work_megapix <float>]\n"
<< "\t[--compose_megapix <float>]\n"
<< "\t[--matchconf <float>]\n" << "\t[--matchconf <float>]\n"
<< "\t[--ba (ray|focal_ray)]\n" << "\t[--ba (ray|focal_ray)]\n"
<< "\t[--conf_thresh <float>]\n" << "\t[--conf_thresh <float>]\n"
...@@ -23,16 +26,17 @@ void printUsage() ...@@ -23,16 +26,17 @@ void printUsage()
<< "\t[--output <result_img>]\n\n"; << "\t[--output <result_img>]\n\n";
cout << "--matchconf\n" cout << "--matchconf\n"
<< "\tGood values are in [0.2, 0.8] range usually.\n\n"; << "\tGood values are in [0.2, 0.8] range usually.\n\n";
cout << "--conf_thresh\n"
<< "\tGood values are in [0.3, 1.0] range usually.\n";
} }
int main(int argc, char* argv[]) int main(int argc, char* argv[])
{ {
cv::setBreakOnError(true); cv::setBreakOnError(true);
vector<string> img_names;
vector<Mat> images; vector<Mat> images;
string result_name = "result.png"; bool trygpu = true;
double work_megapix = -1;
double compose_megapix = -1;
int ba_space = BundleAdjuster::FOCAL_RAY_SPACE; int ba_space = BundleAdjuster::FOCAL_RAY_SPACE;
float conf_thresh = 1.f; float conf_thresh = 1.f;
bool wave_correct = true; bool wave_correct = true;
...@@ -41,6 +45,10 @@ int main(int argc, char* argv[]) ...@@ -41,6 +45,10 @@ int main(int argc, char* argv[])
float match_conf = 0.55f; float match_conf = 0.55f;
int seam_find_type = SeamFinder::VORONOI; int seam_find_type = SeamFinder::VORONOI;
int blend_type = Blender::MULTI_BAND; int blend_type = Blender::MULTI_BAND;
string result_name = "result.png";
double work_scale = 1, compose_scale = 1;
bool is_work_scale_set = false, is_compose_scale_set = true;
if (argc == 1) if (argc == 1)
{ {
...@@ -50,7 +58,37 @@ int main(int argc, char* argv[]) ...@@ -50,7 +58,37 @@ int main(int argc, char* argv[])
for (int i = 1; i < argc; ++i) for (int i = 1; i < argc; ++i)
{ {
if (string(argv[i]) == "--result") if (string(argv[i]) == "--work_megapix")
{
work_megapix = atof(argv[i + 1]);
break;
}
}
for (int i = 1; i < argc; ++i)
{
if (string(argv[i]) == "--trygpu")
{
if (string(argv[i + 1]) == "no")
trygpu = false;
else if (string(argv[i + 1]) == "yes")
trygpu = true;
else
{
cout << "Bad --trygpu flag value\n";
return -1;
}
i++;
}
else if (string(argv[i]) == "--work_megapix")
i++;
else if (string(argv[i]) == "--compose_megapix")
{
compose_megapix = atof(argv[i + 1]);
is_compose_scale_set = false;
i++;
}
else if (string(argv[i]) == "--result")
{ {
result_name = argv[i + 1]; result_name = argv[i + 1];
i++; i++;
...@@ -87,7 +125,7 @@ int main(int argc, char* argv[]) ...@@ -87,7 +125,7 @@ int main(int argc, char* argv[])
wave_correct = true; wave_correct = true;
else else
{ {
cout << "Bad wave correct flag value\n"; cout << "Bad --wavecorrect flag value\n";
return -1; return -1;
} }
i++; i++;
...@@ -144,13 +182,26 @@ int main(int argc, char* argv[]) ...@@ -144,13 +182,26 @@ int main(int argc, char* argv[])
} }
else else
{ {
Mat img = imread(argv[i]); img_names.push_back(argv[i]);
if (img.empty()) Mat full_img = imread(argv[i]);
if (full_img.empty())
{ {
cout << "Can't open image " << argv[i] << endl; cout << "Can't open image " << argv[i] << endl;
return -1; return -1;
} }
images.push_back(img); if (work_megapix < 0)
images.push_back(full_img);
else
{
if (!is_work_scale_set)
{
work_scale = min(1.0, sqrt(work_megapix * 1000000 / full_img.size().area()));
is_work_scale_set = true;
}
Mat img;
resize(full_img, img, Size(), work_scale, work_scale);
images.push_back(img);
}
} }
} }
...@@ -163,18 +214,24 @@ int main(int argc, char* argv[]) ...@@ -163,18 +214,24 @@ int main(int argc, char* argv[])
LOGLN("Finding features..."); LOGLN("Finding features...");
vector<ImageFeatures> features; vector<ImageFeatures> features;
SurfFeaturesFinder finder; SurfFeaturesFinder finder(trygpu);
finder(images, features); finder(images, features);
LOGLN("Pairwise matching..."); LOGLN("Pairwise matching...");
vector<MatchesInfo> pairwise_matches; vector<MatchesInfo> pairwise_matches;
BestOf2NearestMatcher matcher; BestOf2NearestMatcher matcher(trygpu);
if (user_match_conf) if (user_match_conf)
matcher = BestOf2NearestMatcher(true, match_conf); matcher = BestOf2NearestMatcher(true, match_conf);
matcher(images, features, pairwise_matches); matcher(images, features, pairwise_matches);
leaveBiggestComponent(images, features, pairwise_matches, conf_thresh); leaveBiggestComponent(images, features, pairwise_matches, conf_thresh);
num_images = static_cast<int>(images.size()); num_images = static_cast<int>(images.size());
if (num_images < 2)
{
cout << "Need more images\n";
return -1;
}
LOGLN("Estimating rotations..."); LOGLN("Estimating rotations...");
HomographyBasedEstimator estimator; HomographyBasedEstimator estimator;
...@@ -214,6 +271,24 @@ int main(int argc, char* argv[]) ...@@ -214,6 +271,24 @@ int main(int argc, char* argv[])
nth_element(focals.begin(), focals.end(), focals.begin() + focals.size() / 2); nth_element(focals.begin(), focals.end(), focals.begin() + focals.size() / 2);
float camera_focal = static_cast<float>(focals[focals.size() / 2]); float camera_focal = static_cast<float>(focals[focals.size() / 2]);
if (work_megapix > 0 || compose_megapix > 0)
{
for (int i = 0; i < num_images; ++i)
{
Mat full_img = imread(img_names[i]);
if (!is_compose_scale_set)
{
compose_scale = min(1.0, sqrt(compose_megapix * 1000000 / full_img.size().area()));
is_compose_scale_set = true;
}
Mat img;
resize(full_img, img, Size(), compose_scale, compose_scale);
images[i] = img;
cameras[i].focal *= compose_scale / work_scale;
}
camera_focal *= static_cast<float>(compose_scale / work_scale);
}
vector<Mat> masks(num_images); vector<Mat> masks(num_images);
for (int i = 0; i < num_images; ++i) for (int i = 0; i < num_images; ++i)
{ {
...@@ -250,3 +325,4 @@ int main(int argc, char* argv[]) ...@@ -250,3 +325,4 @@ int main(int argc, char* argv[])
LOGLN("Finished"); LOGLN("Finished");
return 0; return 0;
} }
...@@ -105,10 +105,10 @@ namespace ...@@ -105,10 +105,10 @@ namespace
} }
} }
SurfFeaturesFinder::SurfFeaturesFinder(bool gpu_hint, double hess_thresh, int num_octaves, int num_layers, SurfFeaturesFinder::SurfFeaturesFinder(bool try_use_gpu, double hess_thresh, int num_octaves, int num_layers,
int num_octaves_descr, int num_layers_descr) int num_octaves_descr, int num_layers_descr)
{ {
if (gpu_hint && getCudaEnabledDeviceCount() > 0) if (try_use_gpu && getCudaEnabledDeviceCount() > 0)
impl_ = new GpuSurfFeaturesFinder(hess_thresh, num_octaves, num_layers, num_octaves_descr, num_layers_descr); impl_ = new GpuSurfFeaturesFinder(hess_thresh, num_octaves, num_layers, num_octaves_descr, num_layers_descr);
else else
impl_ = new CpuSurfFeaturesFinder(hess_thresh, num_octaves, num_layers, num_octaves_descr, num_layers_descr); impl_ = new CpuSurfFeaturesFinder(hess_thresh, num_octaves, num_layers, num_octaves_descr, num_layers_descr);
...@@ -274,9 +274,9 @@ namespace ...@@ -274,9 +274,9 @@ namespace
} }
} }
BestOf2NearestMatcher::BestOf2NearestMatcher(bool gpu_hint, float match_conf, int num_matches_thresh1, int num_matches_thresh2) BestOf2NearestMatcher::BestOf2NearestMatcher(bool try_use_gpu, float match_conf, int num_matches_thresh1, int num_matches_thresh2)
{ {
if (gpu_hint && getCudaEnabledDeviceCount() > 0) if (try_use_gpu && getCudaEnabledDeviceCount() > 0)
impl_ = new GpuMatcher(match_conf); impl_ = new GpuMatcher(match_conf);
else else
impl_ = new CpuMatcher(match_conf); impl_ = new CpuMatcher(match_conf);
......
...@@ -26,7 +26,7 @@ protected: ...@@ -26,7 +26,7 @@ protected:
class SurfFeaturesFinder : public FeaturesFinder class SurfFeaturesFinder : public FeaturesFinder
{ {
public: public:
explicit SurfFeaturesFinder(bool gpu_hint = true, double hess_thresh = 500.0, explicit SurfFeaturesFinder(bool try_use_gpu = true, double hess_thresh = 500.0,
int num_octaves = 3, int num_layers = 4, int num_octaves = 3, int num_layers = 4,
int num_octaves_descr = 4, int num_layers_descr = 2); int num_octaves_descr = 4, int num_layers_descr = 2);
...@@ -70,7 +70,7 @@ protected: ...@@ -70,7 +70,7 @@ protected:
class BestOf2NearestMatcher : public FeaturesMatcher class BestOf2NearestMatcher : public FeaturesMatcher
{ {
public: public:
explicit BestOf2NearestMatcher(bool gpu_hint = true, float match_conf = 0.55f, int num_matches_thresh1 = 5, int num_matches_thresh2 = 5); explicit BestOf2NearestMatcher(bool try_use_gpu = true, float match_conf = 0.55f, int num_matches_thresh1 = 5, int num_matches_thresh2 = 5);
protected: protected:
void match(const cv::Mat &img1, const ImageFeatures &features1, const cv::Mat &img2, const ImageFeatures &features2, void match(const cv::Mat &img1, const ImageFeatures &features1, const cv::Mat &img2, const ImageFeatures &features2,
......
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