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synced 2024-11-25 03:30:34 +08:00
more refactoring of opencv_stitching
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aadb1669a7
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97530caa53
@ -31,34 +31,28 @@ void printUsage()
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<< "\tTry bigger values for --work_megapix if something is wrong.\n\n";
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}
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int main(int argc, char* argv[])
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// Command line args
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vector<string> img_names;
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bool trygpu = false;
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double work_megapix = 0.2;
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double compose_megapix = 1;
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int ba_space = BundleAdjuster::FOCAL_RAY_SPACE;
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float conf_thresh = 1.f;
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bool wave_correct = true;
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int warp_type = Warper::SPHERICAL;
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bool user_match_conf = false;
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float match_conf = 0.6f;
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int seam_find_type = SeamFinder::VORONOI;
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int blend_type = Blender::MULTI_BAND;
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string result_name = "result.png";
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int parseCmdArgs(int argc, char** argv)
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{
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int64 app_start_time = getTickCount();
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cv::setBreakOnError(true);
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vector<string> img_names;
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// Default parameters
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bool trygpu = false;
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double work_megapix = 0.2;
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double compose_megapix = 1;
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int ba_space = BundleAdjuster::FOCAL_RAY_SPACE;
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float conf_thresh = 1.f;
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bool wave_correct = true;
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int warp_type = Warper::SPHERICAL;
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bool user_match_conf = false;
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float match_conf = 0.6f;
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int seam_find_type = SeamFinder::VORONOI;
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int blend_type = Blender::MULTI_BAND;
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string result_name = "result.png";
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double work_scale = 1, compose_scale = 1;
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bool is_work_scale_set = false, is_compose_scale_set = false;
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if (argc == 1)
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{
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printUsage();
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return 0;
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return -1;
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}
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for (int i = 1; i < argc; ++i)
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@ -70,7 +64,6 @@ int main(int argc, char* argv[])
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}
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}
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int64 t = getTickCount();
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for (int i = 1; i < argc; ++i)
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{
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if (string(argv[i]) == "--trygpu")
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@ -188,7 +181,20 @@ int main(int argc, char* argv[])
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else
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img_names.push_back(argv[i]);
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}
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return 0;
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}
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int main(int argc, char* argv[])
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{
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int64 app_start_time = getTickCount();
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cv::setBreakOnError(true);
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int retval = parseCmdArgs(argc, argv);
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if (retval)
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return retval;
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// Check if have enough images
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int num_images = static_cast<int>(img_names.size());
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if (num_images < 2)
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{
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@ -196,8 +202,12 @@ int main(int argc, char* argv[])
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return -1;
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}
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// We do all matching in work_scale sclae, and compositing in compose_scale scale
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double work_scale = 1, compose_scale = 1;
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bool is_work_scale_set = false, is_compose_scale_set = false;
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LOGLN("Reading images and finding features...");
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t = getTickCount();
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int64 t = getTickCount();
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vector<Mat> images(num_images);
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vector<ImageFeatures> features(num_images);
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SurfFeaturesFinder finder(trygpu);
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@ -237,6 +247,7 @@ int main(int argc, char* argv[])
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matcher(features, pairwise_matches);
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LOGLN("Pairwise matching, time: " << ((getTickCount() - t) / getTickFrequency()) << " sec");
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// Leave only images we are sure are from the same panorama
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vector<int> indices = leaveBiggestComponent(features, pairwise_matches, conf_thresh);
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vector<Mat> img_subset;
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vector<string> img_names_subset;
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@ -248,6 +259,7 @@ int main(int argc, char* argv[])
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images = img_subset;
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img_names = img_names_subset;
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// Check if we still have enough images
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num_images = static_cast<int>(img_names.size());
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if (num_images < 2)
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{
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@ -308,12 +320,14 @@ int main(int argc, char* argv[])
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vector<Size> sizes(num_images);
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vector<Mat> masks(num_images);
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// Preapre original images masks
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for (int i = 0; i < num_images; ++i)
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{
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masks[i].create(images[i].size(), CV_8U);
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masks[i].setTo(Scalar::all(255));
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}
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// Warp images and their masks
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Ptr<Warper> warper = Warper::createByCameraFocal(camera_focal, warp_type);
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for (int i = 0; i < num_images; ++i)
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{
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@ -324,6 +338,7 @@ int main(int argc, char* argv[])
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INTER_NEAREST, BORDER_CONSTANT);
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}
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// Convert to float for blending
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vector<Mat> images_warped_f(num_images);
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for (int i = 0; i < num_images; ++i)
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images_warped[i].convertTo(images_warped_f[i], CV_32F);
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@ -333,6 +348,7 @@ int main(int argc, char* argv[])
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LOGLN("Finding seams...");
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t = getTickCount();
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// Find seams
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Ptr<SeamFinder> seam_finder = SeamFinder::createDefault(seam_find_type);
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seam_finder->find(images_warped_f, corners, masks_warped);
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@ -169,11 +169,13 @@ void FeaturesMatcher::operator ()(const vector<ImageFeatures> &features, vector<
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dists[j].idx = j;
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}
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// Leave near images
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vector<bool> is_near(num_images, false);
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for (int j = 0; j < num_images; ++j)
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if (dists[j].dist < 0.6)
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is_near[dists[j].idx] = true;
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// Leave k-nearest images
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int k = min(4, num_images);
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nth_element(dists.begin(), dists.end(), dists.begin() + k);
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for (int j = 0; j < k; ++j)
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@ -181,6 +183,7 @@ void FeaturesMatcher::operator ()(const vector<ImageFeatures> &features, vector<
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for (int j = i + 1; j < num_images; ++j)
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{
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// Ignore poor image pairs
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if (!is_near[j])
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continue;
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@ -213,7 +216,6 @@ namespace
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{
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public:
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inline CpuMatcher(float match_conf) : match_conf_(match_conf) {}
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void match(const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo& matches_info);
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private:
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@ -257,15 +259,12 @@ namespace
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{
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public:
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inline GpuMatcher(float match_conf) : match_conf_(match_conf) {}
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void match(const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo& matches_info);
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private:
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float match_conf_;
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GpuMat descriptors1_;
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GpuMat descriptors2_;
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GpuMat trainIdx_, distance_, allDist_;
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};
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