#include <iostream>#include <fstream>#include <string>#include "opencv2/opencv_modules.hpp"#include "opencv2/highgui/highgui.hpp"#include "opencv2/stitching/detail/autocalib.hpp"#include "opencv2/stitching/detail/blenders.hpp"#include "opencv2/stitching/detail/camera.hpp"#include "opencv2/stitching/detail/exposure_compensate.hpp"#include "opencv2/stitching/detail/matchers.hpp"#include "opencv2/stitching/detail/motion_estimators.hpp"#include "opencv2/stitching/detail/seam_finders.hpp"#include "opencv2/stitching/detail/util.hpp"#include "opencv2/stitching/detail/warpers.hpp"#include "opencv2/stitching/warpers.hpp"using namespace std;using namespace cv;using namespace cv::detail;// Default command line argsvector<string> img_names;bool preview = false;bool try_gpu = false;double work_megapix = 0.6;double seam_megapix = 0.1;double compose_megapix = 0.6;float conf_thresh = 1.f;string features_type = "surf";//or"orb"string ba_cost_func = "ray";string ba_refine_mask = "xxxxx";bool do_wave_correct = true;WaveCorrectKind wave_correct = detail::WAVE_CORRECT_HORIZ;bool save_graph = false;std::string save_graph_to;string warp_type = "spherical";int expos_comp_type = ExposureCompensator::GAIN_BLOCKS;float match_conf = 0.3f;string seam_find_type = "gc_color";int blend_type = Blender::MULTI_BAND;float blend_strength = 5;string result_name = "result.jpg";int main(/*int argc, char* argv[]*/){<span style="white-space:pre">	</span>int argc = 10;<span style="white-space:pre">	</span>char* argv[] = {"1.jpg", "2.jpg", "3.jpg", "4.jpg", "5.jpg", "6.jpg", "7.jpg", "8.jpg", "9.jpg", <span style="white-space:pre">		</span>"10.jpg"//, "--preview",<span style="white-space:pre">		</span>//<span style="white-space:pre">	</span>"--try_gpu","no",<span style="white-space:pre">		</span>//<span style="white-space:pre">	</span>"--work_megapix","0.6",<span style="white-space:pre">		</span>//<span style="white-space:pre">	</span>//"--features","orb",<span style="white-space:pre">		</span>//<span style="white-space:pre">	</span>"--wave_correct","no",<span style="white-space:pre">		</span>//<span style="white-space:pre">	</span>"--wave_correct"<span style="white-space:pre">		</span>//"--warp_type",//<span style="white-space:pre">	</span> "plane" "cylindrical""spherical""plane""cylindrical""spherical""fisheye""stereographic"<span style="white-space:pre">		</span>//  "plane",         //"compressedPlaneA2B1" "compressedPlaneA1.5B1""compressedPlanePortraitA2B1"<span style="white-space:pre">		</span>//<span style="white-space:pre">		</span>//   "compressedPlanePortraitA1.5B1" "paniniA2B1""paniniA1.5B1" "paniniPortraitA2B1""paniniPortraitA1.5B1"<span style="white-space:pre">		</span>//<span style="white-space:pre">		</span> //  "mercator" "transverseMercator"<span style="white-space:pre">		</span>//<span style="white-space:pre">		</span> "--expos_comp","no",<span style="white-space:pre">		</span>//<span style="white-space:pre">		</span> "--seam","no","--blend","no"<span style="white-space:pre">	</span>};<span style="white-space:pre">	</span>for (int i = 0; i < argc; ++i)<span style="white-space:pre">		</span>img_names.push_back(argv[i]);<span style="white-space:pre">	</span>// Check if have enough images<span style="white-space:pre">	</span>int num_images = static_cast<int>(img_names.size());<span style="white-space:pre">	</span>double work_scale = 1, seam_scale = 1, compose_scale = 1;<span style="white-space:pre">	</span>bool is_work_scale_set = false, is_seam_scale_set = false, is_compose_scale_set = false;<span style="white-space:pre">	</span>cout<<"Finding features..."<<endl;<span style="white-space:pre">	</span>Ptr<FeaturesFinder> finder;#if defined(HAVE_OPENCV_NONFREE) && defined(HAVE_OPENCV_GPU) && !defined(ANDROID)<span style="white-space:pre">	</span>if (try_gpu && gpu::getCudaEnabledDeviceCount() > 0)<span style="white-space:pre">		</span>finder = new SurfFeaturesFinderGpu();<span style="white-space:pre">	</span>else#endif<span style="white-space:pre">		</span>finder = new SurfFeaturesFinder();<span style="white-space:pre">	</span>Mat full_img, img;<span style="white-space:pre">	</span>vector<ImageFeatures> features(num_images);<span style="white-space:pre">	</span>vector<Mat> images(num_images);<span style="white-space:pre">	</span>vector<Size> full_img_sizes(num_images);<span style="white-space:pre">	</span>double seam_work_aspect = 1;<span style="white-space:pre">	</span>for (int i = 0; i < num_images; ++i)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>full_img = imread(img_names[i]);<span style="white-space:pre">		</span>full_img_sizes[i] = full_img.size();<span style="white-space:pre">		</span>if (full_img.empty())<span style="white-space:pre">		</span>{<span style="white-space:pre">			</span>cout<<"Can't open image " << img_names[i]<<endl;<span style="white-space:pre">			</span>return -1;<span style="white-space:pre">		</span>}<span style="white-space:pre">		</span>if (work_megapix < 0)<span style="white-space:pre">		</span>{<span style="white-space:pre">			</span>img = full_img;<span style="white-space:pre">			</span>work_scale = 1;<span style="white-space:pre">			</span>is_work_scale_set = true;<span style="white-space:pre">		</span>}<span style="white-space:pre">		</span>else<span style="white-space:pre">		</span>{<span style="white-space:pre">			</span>if (!is_work_scale_set)<span style="white-space:pre">			</span>{<span style="white-space:pre">				</span>work_scale = min(1.0, sqrt(work_megapix * 1e6 / full_img.size().area()));<span style="white-space:pre">				</span>is_work_scale_set = true;<span style="white-space:pre">			</span>}<span style="white-space:pre">			</span>resize(full_img, img, Size(), work_scale, work_scale);<span style="white-space:pre">		</span>}<span style="white-space:pre">		</span>if (!is_seam_scale_set)<span style="white-space:pre">		</span>{<span style="white-space:pre">			</span>seam_scale = min(1.0, sqrt(seam_megapix * 1e6 / full_img.size().area()));<span style="white-space:pre">			</span>seam_work_aspect = seam_scale / work_scale;<span style="white-space:pre">			</span>is_seam_scale_set = true;<span style="white-space:pre">		</span>}<span style="white-space:pre">		</span>(*finder)(img, features[i]);<span style="white-space:pre">		</span>features[i].img_idx = i;<span style="white-space:pre">		</span>cout<<"Features in image #" << i+1 << ": " << features[i].keypoints.size()<<endl;<span style="white-space:pre">		</span>resize(full_img, img, Size(), seam_scale, seam_scale);<span style="white-space:pre">		</span>images[i] = img.clone();<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>finder->collectGarbage();<span style="white-space:pre">	</span>full_img.release();<span style="white-space:pre">	</span>img.release();<span style="white-space:pre">	</span>cout<<"Pairwise matching"<<endl;<span style="white-space:pre">	</span>vector<MatchesInfo> pairwise_matches;<span style="white-space:pre">	</span>BestOf2NearestMatcher matcher(try_gpu, match_conf);<span style="white-space:pre">	</span>matcher(features, pairwise_matches);<span style="white-space:pre">	</span>matcher.collectGarbage();<span style="white-space:pre">	</span>// Leave only images we are sure are from the same panorama<span style="white-space:pre">	</span>vector<int> indices = leaveBiggestComponent(features, pairwise_matches, conf_thresh);<span style="white-space:pre">	</span>vector<Mat> img_subset;<span style="white-space:pre">	</span>vector<string> img_names_subset;<span style="white-space:pre">	</span>vector<Size> full_img_sizes_subset;<span style="white-space:pre">	</span>for (size_t i = 0; i < indices.size(); ++i)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>img_names_subset.push_back(img_names[indices[i]]);<span style="white-space:pre">		</span>img_subset.push_back(images[indices[i]]);<span style="white-space:pre">		</span>full_img_sizes_subset.push_back(full_img_sizes[indices[i]]);<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>images = img_subset;<span style="white-space:pre">	</span>img_names = img_names_subset;<span style="white-space:pre">	</span>full_img_sizes = full_img_sizes_subset;<span style="white-space:pre">	</span>// Check if we still have enough images<span style="white-space:pre">	</span>num_images = static_cast<int>(img_names.size());<span style="white-space:pre">	</span>if (num_images < 2)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>cout<<"Need more images"<<endl;<span style="white-space:pre">		</span>return -1;<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>HomographyBasedEstimator estimator;<span style="white-space:pre">	</span>vector<CameraParams> cameras;<span style="white-space:pre">	</span>estimator(features, pairwise_matches, cameras);<span style="white-space:pre">	</span>for (size_t i = 0; i < cameras.size(); ++i)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>Mat R;<span style="white-space:pre">		</span>cameras[i].R.convertTo(R, CV_32F);<span style="white-space:pre">		</span>cameras[i].R = R;<span style="white-space:pre">		</span>cout<<"Initial intrinsics #" << indices[i]+1 << ":\n" << cameras[i].K()<<endl;<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>Ptr<detail::BundleAdjusterBase> adjuster;<span style="white-space:pre">	</span>adjuster = new detail::BundleAdjusterRay();<span style="white-space:pre">	</span>adjuster->setConfThresh(conf_thresh);<span style="white-space:pre">	</span>Mat_<uchar> refine_mask = Mat::zeros(3, 3, CV_8U);<span style="white-space:pre">	</span>refine_mask(0,0) = 1;<span style="white-space:pre">	</span>refine_mask(0,1) = 1;<span style="white-space:pre">	</span>refine_mask(0,2) = 1;<span style="white-space:pre">	</span>refine_mask(1,1) = 1;<span style="white-space:pre">	</span>refine_mask(1,2) = 1;<span style="white-space:pre">	</span>adjuster->setRefinementMask(refine_mask);<span style="white-space:pre">	</span>(*adjuster)(features, pairwise_matches, cameras);<span style="white-space:pre">	</span>// Find median focal length<span style="white-space:pre">	</span>vector<double> focals;<span style="white-space:pre">	</span>for (size_t i = 0; i < cameras.size(); ++i)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>cout<<"Camera #" << indices[i]+1 << ":\n" << cameras[i].K()<<endl;<span style="white-space:pre">		</span>focals.push_back(cameras[i].focal);<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>sort(focals.begin(), focals.end());<span style="white-space:pre">	</span>float warped_image_scale;<span style="white-space:pre">	</span>if (focals.size() % 2 == 1)<span style="white-space:pre">		</span>warped_image_scale = static_cast<float>(focals[focals.size() / 2]);<span style="white-space:pre">	</span>else<span style="white-space:pre">		</span>warped_image_scale = static_cast<float>(focals[focals.size() / 2 - 1] + focals[focals.size() / 2]) * 0.5f;<span style="white-space:pre">	</span>if (do_wave_correct)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>vector<Mat> rmats;<span style="white-space:pre">		</span>for (size_t i = 0; i < cameras.size(); ++i)<span style="white-space:pre">			</span>rmats.push_back(cameras[i].R);<span style="white-space:pre">		</span>waveCorrect(rmats, wave_correct);<span style="white-space:pre">		</span>for (size_t i = 0; i < cameras.size(); ++i)<span style="white-space:pre">			</span>cameras[i].R = rmats[i];<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>cout<<"Warping images (auxiliary)... "<<endl;<span style="white-space:pre">	</span>vector<Point> corners(num_images);<span style="white-space:pre">	</span>vector<Mat> masks_warped(num_images);<span style="white-space:pre">	</span>vector<Mat> images_warped(num_images);<span style="white-space:pre">	</span>vector<Size> sizes(num_images);<span style="white-space:pre">	</span>vector<Mat> masks(num_images);<span style="white-space:pre">	</span>// Preapre images masks<span style="white-space:pre">	</span>for (int i = 0; i < num_images; ++i)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>masks[i].create(images[i].size(), CV_8U);<span style="white-space:pre">		</span>masks[i].setTo(Scalar::all(255));<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>// Warp images and their masks<span style="white-space:pre">	</span>Ptr<WarperCreator> warper_creator;<span style="white-space:pre">	</span>warper_creator = new cv::SphericalWarper();<span style="white-space:pre">	</span>Ptr<RotationWarper> warper = warper_creator->create(static_cast<float>(warped_image_scale * seam_work_aspect));<span style="white-space:pre">	</span>for (int i = 0; i < num_images; ++i)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>Mat_<float> K;<span style="white-space:pre">		</span>cameras[i].K().convertTo(K, CV_32F);<span style="white-space:pre">		</span>float swa = (float)seam_work_aspect;<span style="white-space:pre">		</span>K(0,0) *= swa; K(0,2) *= swa;<span style="white-space:pre">		</span>K(1,1) *= swa; K(1,2) *= swa;<span style="white-space:pre">		</span>corners[i] = warper->warp(images[i], K, cameras[i].R, INTER_LINEAR, BORDER_REFLECT, images_warped[i]);<span style="white-space:pre">		</span>sizes[i] = images_warped[i].size();<span style="white-space:pre">		</span>warper->warp(masks[i], K, cameras[i].R, INTER_NEAREST, BORDER_CONSTANT, masks_warped[i]);<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>vector<Mat> images_warped_f(num_images);<span style="white-space:pre">	</span>for (int i = 0; i < num_images; ++i)<span style="white-space:pre">		</span>images_warped[i].convertTo(images_warped_f[i], CV_32F);<span style="white-space:pre">	</span>Ptr<ExposureCompensator> compensator = ExposureCompensator::createDefault(expos_comp_type);<span style="white-space:pre">	</span>compensator->feed(corners, images_warped, masks_warped);<span style="white-space:pre">	</span>Ptr<SeamFinder> seam_finder;<span style="white-space:pre">	</span>seam_finder = new detail::GraphCutSeamFinder(GraphCutSeamFinderBase::COST_COLOR);<span style="white-space:pre">	</span>seam_finder->find(images_warped_f, corners, masks_warped);<span style="white-space:pre">	</span>// Release unused memory<span style="white-space:pre">	</span>images.clear();<span style="white-space:pre">	</span>images_warped.clear();<span style="white-space:pre">	</span>images_warped_f.clear();<span style="white-space:pre">	</span>masks.clear();<span style="white-space:pre">	</span>cout<<"Compositing..."<<endl;<span style="white-space:pre">	</span>Mat img_warped, img_warped_s;<span style="white-space:pre">	</span>Mat dilated_mask, seam_mask, mask, mask_warped;<span style="white-space:pre">	</span>Ptr<Blender> blender;<span style="white-space:pre">	</span>//double compose_seam_aspect = 1;<span style="white-space:pre">	</span>double compose_work_aspect = 1;<span style="white-space:pre">	</span>for (int img_idx = 0; img_idx < num_images; ++img_idx)<span style="white-space:pre">	</span>{<span style="white-space:pre">		</span>cout<<"Compositing image #" << indices[img_idx]+1<<endl;<span style="white-space:pre">		</span>// Read image and resize it if necessary<span style="white-space:pre">		</span>full_img = imread(img_names[img_idx]);<span style="white-space:pre">		</span>if (!is_compose_scale_set)<span style="white-space:pre">		</span>{<span style="white-space:pre">			</span>if (compose_megapix > 0)<span style="white-space:pre">				</span>compose_scale = min(1.0, sqrt(compose_megapix * 1e6 / full_img.size().area()));<span style="white-space:pre">			</span>is_compose_scale_set = true;<span style="white-space:pre">			</span>// Compute relative scales<span style="white-space:pre">			</span>//compose_seam_aspect = compose_scale / seam_scale;<span style="white-space:pre">			</span>compose_work_aspect = compose_scale / work_scale;<span style="white-space:pre">			</span>// Update warped image scale<span style="white-space:pre">			</span>warped_image_scale *= static_cast<float>(compose_work_aspect);<span style="white-space:pre">			</span>warper = warper_creator->create(warped_image_scale);<span style="white-space:pre">			</span>// Update corners and sizes<span style="white-space:pre">			</span>for (int i = 0; i < num_images; ++i)<span style="white-space:pre">			</span>{<span style="white-space:pre">				</span>// Update intrinsics<span style="white-space:pre">				</span>cameras[i].focal *= compose_work_aspect;<span style="white-space:pre">				</span>cameras[i].ppx *= compose_work_aspect;<span style="white-space:pre">				</span>cameras[i].ppy *= compose_work_aspect;<span style="white-space:pre">				</span>// Update corner and size<span style="white-space:pre">				</span>Size sz = full_img_sizes[i];<span style="white-space:pre">				</span>if (std::abs(compose_scale - 1) > 1e-1)<span style="white-space:pre">				</span>{<span style="white-space:pre">					</span>sz.width = cvRound(full_img_sizes[i].width * compose_scale);<span style="white-space:pre">					</span>sz.height = cvRound(full_img_sizes[i].height * compose_scale);<span style="white-space:pre">				</span>}<span style="white-space:pre">				</span>Mat K;<span style="white-space:pre">				</span>cameras[i].K().convertTo(K, CV_32F);<span style="white-space:pre">				</span>Rect roi = warper->warpRoi(sz, K, cameras[i].R);<span style="white-space:pre">				</span>corners[i] = roi.tl();<span style="white-space:pre">				</span>sizes[i] = roi.size();<span style="white-space:pre">			</span>}<span style="white-space:pre">		</span>}<span style="white-space:pre">		</span>if (abs(compose_scale - 1) > 1e-1)<span style="white-space:pre">			</span>resize(full_img, img, Size(), compose_scale, compose_scale);<span style="white-space:pre">		</span>else<span style="white-space:pre">			</span>img = full_img;<span style="white-space:pre">		</span>full_img.release();<span style="white-space:pre">		</span>Size img_size = img.size();<span style="white-space:pre">		</span>Mat K;<span style="white-space:pre">		</span>cameras[img_idx].K().convertTo(K, CV_32F);<span style="white-space:pre">		</span>// Warp the current image<span style="white-space:pre">		</span>warper->warp(img, K, cameras[img_idx].R, INTER_LINEAR, BORDER_REFLECT, img_warped);<span style="white-space:pre">		</span>// Warp the current image mask<span style="white-space:pre">		</span>mask.create(img_size, CV_8U);<span style="white-space:pre">		</span>mask.setTo(Scalar::all(255));<span style="white-space:pre">		</span>warper->warp(mask, K, cameras[img_idx].R, INTER_NEAREST, BORDER_CONSTANT, mask_warped);<span style="white-space:pre">		</span>// Compensate exposure<span style="white-space:pre">		</span>compensator->apply(img_idx, corners[img_idx], img_warped, mask_warped);<span style="white-space:pre">		</span>img_warped.convertTo(img_warped_s, CV_16S);<span style="white-space:pre">		</span>img_warped.release();<span style="white-space:pre">		</span>img.release();<span style="white-space:pre">		</span>mask.release();<span style="white-space:pre">		</span>dilate(masks_warped[img_idx], dilated_mask, Mat());<span style="white-space:pre">		</span>resize(dilated_mask, seam_mask, mask_warped.size());<span style="white-space:pre">		</span>mask_warped = seam_mask & mask_warped;<span style="white-space:pre">		</span>if (blender.empty())<span style="white-space:pre">		</span>{<span style="white-space:pre">			</span>blender = Blender::createDefault(blend_type, try_gpu);<span style="white-space:pre">			</span>Size dst_sz = resultRoi(corners, sizes).size();<span style="white-space:pre">			</span>float blend_width = sqrt(static_cast<float>(dst_sz.area())) * blend_strength / 100.f;<span style="white-space:pre">			</span>if (blend_width < 1.f)<span style="white-space:pre">				</span>blender = Blender::createDefault(Blender::NO, try_gpu);<span style="white-space:pre">			</span>else <span style="white-space:pre">			</span>{<span style="white-space:pre">				</span>MultiBandBlender* mb = dynamic_cast<MultiBandBlender*>(static_cast<Blender*>(blender));<span style="white-space:pre">				</span>mb->setNumBands(static_cast<int>(ceil(log(blend_width)/log(2.)) - 1.));<span style="white-space:pre">				</span>cout<<"Multi-band blender, number of bands: " << mb->numBands()<<endl;<span style="white-space:pre">			</span>}<span style="white-space:pre">			</span>blender->prepare(corners, sizes);<span style="white-space:pre">		</span>}<span style="white-space:pre">		</span>// Blend the current image<span style="white-space:pre">		</span>blender->feed(img_warped_s, mask_warped, corners[img_idx]);<span style="white-space:pre">	</span>}<span style="white-space:pre">	</span>Mat result, result_mask;<span style="white-space:pre">	</span>blender->blend(result, result_mask);<span style="white-space:pre">	</span>imwrite(result_name, result);<span style="white-space:pre">	</span>return 0;}

opencv2实现n张图像拼接_stitcher具体之代码2（简化版）_计算机视觉大作业2