+++ /dev/null
-#include <iostream>\r
-#include <vector>\r
-#include <algorithm>\r
-#include <iterator>\r
-\r
-#include <opencv2/calib3d/calib3d.hpp>\r
-#include <opencv2/imgproc/imgproc.hpp>\r
-#include <opencv2/highgui/highgui.hpp>\r
-\r
-using namespace cv;\r
-using namespace std;\r
-\r
-namespace cv\r
-{\r
-\r
-/* copy of class defines int tests/cv/chessboardgenerator.h */\r
-class ChessBoardGenerator\r
-{\r
-public:\r
- double sensorWidth; \r
- double sensorHeight; \r
- size_t squareEdgePointsNum;\r
- double min_cos;\r
- mutable double cov;\r
- Size patternSize;\r
- int rendererResolutionMultiplier;\r
-\r
- ChessBoardGenerator(const Size& patternSize = Size(8, 6));\r
- Mat operator()(const Mat& bg, const Mat& camMat, const Mat& distCoeffs, vector<Point2f>& corners) const; \r
- Size cornersSize() const;\r
-private:\r
- void generateEdge(const Point3f& p1, const Point3f& p2, vector<Point3f>& out) const;\r
- Mat generageChessBoard(const Mat& bg, const Mat& camMat, const Mat& distCoeffs, \r
- const Point3f& zero, const Point3f& pb1, const Point3f& pb2, \r
- float sqWidth, float sqHeight, const vector<Point3f>& whole, vector<Point2f>& corners) const;\r
- void generateBasis(Point3f& pb1, Point3f& pb2) const; \r
- Point3f generateChessBoardCenter(const Mat& camMat, const Size& imgSize) const;\r
- Mat rvec, tvec;\r
-};\r
-};\r
-\r
-\r
-\r
-const Size imgSize(800, 600);\r
-const Size brdSize(8, 7);\r
-const size_t brds_num = 20;\r
-\r
-template<class T> ostream& operator<<(ostream& out, const Mat_<T>& mat)\r
-{ \r
- for(int j = 0; j < mat.rows; ++j)\r
- for(int i = 0; i < mat.cols; ++i)\r
- out << mat(j, i) << " "; \r
- return out;\r
-}\r
-\r
-int main()\r
-{ \r
- cout << "Initializing background..."; \r
- Mat background(imgSize, CV_8UC3); \r
- randu(background, Scalar::all(32), Scalar::all(255)); \r
- GaussianBlur(background, background, Size(5, 5), 2);\r
- cout << "Done" << endl;\r
-\r
- cout << "Initializing chess board generator..."; \r
- ChessBoardGenerator cbg(brdSize);\r
- cbg.rendererResolutionMultiplier = 4;\r
- cout << "Done" << endl;\r
-\r
- /* camera params */\r
- Mat_<double> camMat(3, 3);\r
- camMat << 300., 0., background.cols/2., 0, 300., background.rows/2., 0., 0., 1.;\r
- \r
- Mat_<double> distCoeffs(1, 5);\r
- distCoeffs << 1.2, 0.2, 0., 0., 0.;\r
- \r
- cout << "Generating chessboards..."; \r
- vector<Mat> boards(brds_num);\r
- vector<Point2f> tmp;\r
- for(size_t i = 0; i < brds_num; ++i)\r
- cout << (boards[i] = cbg(background, camMat, distCoeffs, tmp), i) << " ";\r
- cout << "Done" << endl; \r
-\r
- vector<Point3f> chessboard3D;\r
- for(int j = 0; j < cbg.cornersSize().height; ++j)\r
- for(int i = 0; i < cbg.cornersSize().width; ++i)\r
- chessboard3D.push_back(Point3i(i, j, 0));\r
- \r
- /* init points */\r
- vector< vector<Point3f> > objectPoints; \r
- vector< vector<Point2f> > imagePoints;\r
-\r
- cout << endl << "Finding chessboards' corners...";\r
- for(size_t i = 0; i < brds_num; ++i)\r
- {\r
- cout << i;\r
- namedWindow("Current chessboard"); imshow("Current chessboard", boards[i]); waitKey(100);\r
- bool found = findChessboardCorners(boards[i], cbg.cornersSize(), tmp);\r
- if (found)\r
- {\r
- imagePoints.push_back(tmp);\r
- objectPoints.push_back(chessboard3D); \r
- cout<< "-found "; \r
- }\r
- else\r
- cout<< "-not-found "; \r
-\r
- drawChessboardCorners(boards[i], cbg.cornersSize(), Mat(tmp), found);\r
- imshow("Current chessboard", boards[i]); waitKey(1000);\r
- }\r
- cout << "Done" << endl;\r
- cvDestroyAllWindows();\r
- \r
- Mat camMat_est;\r
- Mat distCoeffs_est;\r
- vector<Mat> rvecs, tvecs;\r
- \r
- cout << "Calibrating...";\r
- double rep_err = calibrateCamera(objectPoints, imagePoints, imgSize, camMat_est, distCoeffs_est, rvecs, tvecs);\r
- cout << "Done" << endl;\r
-\r
- cout << endl << "Average Reprojection error: " << rep_err/brds_num/cbg.cornersSize().area() << endl;\r
- cout << "==================================" << endl;\r
- cout << "Original camera matrix:\n" << camMat << endl;\r
- cout << "Original distCoeffs:\n" << distCoeffs << endl;\r
- cout << "==================================" << endl;\r
- cout << "Estiamted camera matrix:\n" << (Mat_<double>&)camMat_est << endl;\r
- cout << "Estiamted distCoeffs:\n" << (Mat_<double>&)distCoeffs_est << endl;\r
- \r
- return 0;\r
-}\r
-\r
-\r
-/////////////////////////////////////////////////////////////////////////////////////////////////\r
-/////////////////////////////////////////////////////////////////////////////////////////////////\r
-/////////////////////////////////////////////////////////////////////////////////////////////////\r
-\r
-// Copy of tests/cv/src/chessboardgenerator code. Just do not want to add dependency.\r
-\r
-\r
-ChessBoardGenerator::ChessBoardGenerator(const Size& _patternSize) : sensorWidth(32), sensorHeight(24),\r
- squareEdgePointsNum(200), min_cos(sqrt(2.f)*0.5f), cov(0.5), \r
- patternSize(_patternSize), rendererResolutionMultiplier(4), tvec(Mat::zeros(1, 3, CV_32F))\r
-{ \r
- Rodrigues(Mat::eye(3, 3, CV_32F), rvec);\r
-}\r
-\r
-void cv::ChessBoardGenerator::generateEdge(const Point3f& p1, const Point3f& p2, vector<Point3f>& out) const\r
-{ \r
- Point3f step = (p2 - p1) * (1.f/squareEdgePointsNum); \r
- for(size_t n = 0; n < squareEdgePointsNum; ++n)\r
- out.push_back( p1 + step * (float)n);\r
-} \r
-\r
-Size cv::ChessBoardGenerator::cornersSize() const\r
-{\r
- return Size(patternSize.width-1, patternSize.height-1);\r
-}\r
-\r
-struct Mult\r
-{\r
- float m;\r
- Mult(int mult) : m((float)mult) {}\r
- Point2f operator()(const Point2f& p)const { return p * m; } \r
-};\r
-\r
-void cv::ChessBoardGenerator::generateBasis(Point3f& pb1, Point3f& pb2) const\r
-{\r
- RNG& rng = theRNG();\r
-\r
- Vec3f n;\r
- for(;;)\r
- { \r
- n[0] = rng.uniform(-1.f, 1.f);\r
- n[1] = rng.uniform(-1.f, 1.f);\r
- n[2] = rng.uniform(-1.f, 1.f); \r
- float len = (float)norm(n); \r
- n[0]/=len; \r
- n[1]/=len; \r
- n[2]/=len;\r
- \r
- if (fabs(n[2]) > min_cos)\r
- break;\r
- }\r
-\r
- Vec3f n_temp = n; n_temp[0] += 100;\r
- Vec3f b1 = n.cross(n_temp); \r
- Vec3f b2 = n.cross(b1);\r
- float len_b1 = (float)norm(b1);\r
- float len_b2 = (float)norm(b2); \r
-\r
- pb1 = Point3f(b1[0]/len_b1, b1[1]/len_b1, b1[2]/len_b1);\r
- pb2 = Point3f(b2[0]/len_b1, b2[1]/len_b2, b2[2]/len_b2);\r
-}\r
-\r
-Mat cv::ChessBoardGenerator::generageChessBoard(const Mat& bg, const Mat& camMat, const Mat& distCoeffs, \r
- const Point3f& zero, const Point3f& pb1, const Point3f& pb2, \r
- float sqWidth, float sqHeight, const vector<Point3f>& whole,\r
- vector<Point2f>& corners) const\r
-{\r
- vector< vector<Point> > squares_black; \r
- for(int i = 0; i < patternSize.width; ++i)\r
- for(int j = 0; j < patternSize.height; ++j)\r
- if ( (i % 2 == 0 && j % 2 == 0) || (i % 2 != 0 && j % 2 != 0) ) \r
- { \r
- vector<Point3f> pts_square3d;\r
- vector<Point2f> pts_square2d;\r
-\r
- Point3f p1 = zero + (i + 0) * sqWidth * pb1 + (j + 0) * sqHeight * pb2;\r
- Point3f p2 = zero + (i + 1) * sqWidth * pb1 + (j + 0) * sqHeight * pb2;\r
- Point3f p3 = zero + (i + 1) * sqWidth * pb1 + (j + 1) * sqHeight * pb2;\r
- Point3f p4 = zero + (i + 0) * sqWidth * pb1 + (j + 1) * sqHeight * pb2;\r
- generateEdge(p1, p2, pts_square3d);\r
- generateEdge(p2, p3, pts_square3d);\r
- generateEdge(p3, p4, pts_square3d);\r
- generateEdge(p4, p1, pts_square3d); \r
- \r
- projectPoints( Mat(pts_square3d), rvec, tvec, camMat, distCoeffs, pts_square2d);\r
- squares_black.resize(squares_black.size() + 1); \r
- vector<Point2f> temp; \r
- approxPolyDP(Mat(pts_square2d), temp, 1.0, true); \r
- transform(temp.begin(), temp.end(), back_inserter(squares_black.back()), Mult(rendererResolutionMultiplier)); \r
- } \r
-\r
- /* calculate corners */\r
- vector<Point3f> corners3d; \r
- for(int j = 0; j < patternSize.height - 1; ++j)\r
- for(int i = 0; i < patternSize.width - 1; ++i)\r
- corners3d.push_back(zero + (i + 1) * sqWidth * pb1 + (j + 1) * sqHeight * pb2);\r
- corners.clear();\r
- projectPoints( Mat(corners3d), rvec, tvec, camMat, distCoeffs, corners);\r
-\r
- vector<Point3f> whole3d;\r
- vector<Point2f> whole2d;\r
- generateEdge(whole[0], whole[1], whole3d);\r
- generateEdge(whole[1], whole[2], whole3d);\r
- generateEdge(whole[2], whole[3], whole3d);\r
- generateEdge(whole[3], whole[0], whole3d);\r
- projectPoints( Mat(whole3d), rvec, tvec, camMat, distCoeffs, whole2d);\r
- vector<Point2f> temp_whole2d; \r
- approxPolyDP(Mat(whole2d), temp_whole2d, 1.0, true); \r
-\r
- vector< vector<Point > > whole_contour(1);\r
- transform(temp_whole2d.begin(), temp_whole2d.end(), \r
- back_inserter(whole_contour.front()), Mult(rendererResolutionMultiplier)); \r
-\r
- Mat result;\r
- if (rendererResolutionMultiplier == 1)\r
- { \r
- result = bg.clone();\r
- drawContours(result, whole_contour, -1, Scalar::all(255), CV_FILLED, CV_AA); \r
- drawContours(result, squares_black, -1, Scalar::all(0), CV_FILLED, CV_AA);\r
- }\r
- else\r
- {\r
- Mat tmp; \r
- resize(bg, tmp, bg.size() * rendererResolutionMultiplier);\r
- drawContours(tmp, whole_contour, -1, Scalar::all(255), CV_FILLED, CV_AA); \r
- drawContours(tmp, squares_black, -1, Scalar::all(0), CV_FILLED, CV_AA);\r
- resize(tmp, result, bg.size(), 0, 0, INTER_AREA);\r
- } \r
- return result;\r
-}\r
-\r
-Mat cv::ChessBoardGenerator::operator ()(const Mat& bg, const Mat& camMat, const Mat& distCoeffs, vector<Point2f>& corners) const\r
-{ \r
- cov = min(cov, 0.8);\r
- double fovx, fovy, focalLen;\r
- Point2d principalPoint;\r
- double aspect;\r
- calibrationMatrixValues( camMat, bg.size(), sensorWidth, sensorHeight, \r
- fovx, fovy, focalLen, principalPoint, aspect);\r
-\r
- RNG& rng = theRNG();\r
-\r
- float d1 = static_cast<float>(rng.uniform(0.1, 10.0)); \r
- float ah = static_cast<float>(rng.uniform(-fovx/2 * cov, fovx/2 * cov) * CV_PI / 180);\r
- float av = static_cast<float>(rng.uniform(-fovy/2 * cov, fovy/2 * cov) * CV_PI / 180); \r
- \r
- Point3f p;\r
- p.z = cos(ah) * d1;\r
- p.x = sin(ah) * d1;\r
- p.y = p.z * tan(av); \r
-\r
- Point3f pb1, pb2; \r
- generateBasis(pb1, pb2);\r
- \r
- float cbHalfWidth = static_cast<float>(norm(p) * sin( min(fovx, fovy) * 0.5 * CV_PI / 180));\r
- float cbHalfHeight = cbHalfWidth * patternSize.height / patternSize.width;\r
- \r
- vector<Point3f> pts3d(4);\r
- vector<Point2f> pts2d(4);\r
- for(;;)\r
- { \r
- pts3d[0] = p + pb1 * cbHalfWidth + cbHalfHeight * pb2;\r
- pts3d[1] = p + pb1 * cbHalfWidth - cbHalfHeight * pb2;\r
- pts3d[2] = p - pb1 * cbHalfWidth - cbHalfHeight * pb2;\r
- pts3d[3] = p - pb1 * cbHalfWidth + cbHalfHeight * pb2;\r
- \r
- /* can remake with better perf */\r
- projectPoints( Mat(pts3d), rvec, tvec, camMat, distCoeffs, pts2d);\r
-\r
- bool inrect1 = pts2d[0].x < bg.cols && pts2d[0].y < bg.rows && pts2d[0].x > 0 && pts2d[0].y > 0;\r
- bool inrect2 = pts2d[1].x < bg.cols && pts2d[1].y < bg.rows && pts2d[1].x > 0 && pts2d[1].y > 0;\r
- bool inrect3 = pts2d[2].x < bg.cols && pts2d[2].y < bg.rows && pts2d[2].x > 0 && pts2d[2].y > 0;\r
- bool inrect4 = pts2d[3].x < bg.cols && pts2d[3].y < bg.rows && pts2d[3].x > 0 && pts2d[3].y > 0;\r
- \r
- if ( inrect1 && inrect2 && inrect3 && inrect4)\r
- break;\r
-\r
- cbHalfWidth*=0.8f;\r
- cbHalfHeight = cbHalfWidth * patternSize.height / patternSize.width; \r
- }\r
-\r
- cbHalfWidth *= static_cast<float>(patternSize.width)/(patternSize.width + 1);\r
- cbHalfHeight *= static_cast<float>(patternSize.height)/(patternSize.height + 1);\r
-\r
- Point3f zero = p - pb1 * cbHalfWidth - cbHalfHeight * pb2;\r
- float sqWidth = 2 * cbHalfWidth/patternSize.width;\r
- float sqHeight = 2 * cbHalfHeight/patternSize.height;\r
- \r
- return generageChessBoard(bg, camMat, distCoeffs, zero, pb1, pb2, sqWidth, sqHeight, pts3d, corners); \r
-}\r
-\r
+++ /dev/null
-/********************************************************************************
-*
-*
-* This program is demonstration for ellipse fitting. Program finds
-* contours and approximate it by ellipses.
-*
-* Trackbar specify threshold parametr.
-*
-* White lines is contours. Red lines is fitting ellipses.
-*
-*
-* Autor: Denis Burenkov.
-*
-*
-*
-********************************************************************************/
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/highgui/highgui.hpp"
-
-#include <iostream>
-
-using namespace cv;
-using namespace std;
-
-int sliderPos = 70;
-
-Mat image;
-
-void processImage(int, void*);
-
-int main( int argc, char** argv )
-{
- const char* filename = argc == 2 ? argv[1] : (char*)"stuff.jpg";
- image = imread(filename, 0);
- if( image.empty() )
- {
- cout << "Usage: fitellipse <image_name>\n";
- return 0;
- }
-
- imshow("source", image);
- namedWindow("result", 1);
-
- // Create toolbars. HighGUI use.
- createTrackbar( "threshold", "result", &sliderPos, 255, processImage );
- processImage(0, 0);
-
- // Wait for a key stroke; the same function arranges events processing
- waitKey();
- return 0;
-}
-
-// Define trackbar callback functon. This function find contours,
-// draw it and approximate it by ellipses.
-void processImage(int h, void*)
-{
- vector<vector<Point> > contours;
- Mat bimage = image >= sliderPos;
-
- findContours(bimage, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);
-
- Mat cimage = Mat::zeros(bimage.size(), CV_8UC3);
-
- for(size_t i = 0; i < contours.size(); i++)
- {
- size_t count = contours[i].size();
- if( count < 6 )
- continue;
-
- Mat pointsf;
- Mat(contours[i]).convertTo(pointsf, CV_32F);
- RotatedRect box = fitEllipse(pointsf);
-
- box.angle = -box.angle;
- if( MAX(box.size.width, box.size.height) > MIN(box.size.width, box.size.height)*30 )
- continue;
- drawContours(cimage, contours, (int)i, Scalar::all(255), 1, 8);
-
- ellipse(cimage, box, Scalar(0,0,255), 1, CV_AA);
- }
-
- imshow("result", cimage);
-}
+++ /dev/null
-#include "cv.h" // include standard OpenCV headers, same as before
-#include "highgui.h"
-#include "ml.h"
-#include <stdio.h>
-#include <iostream>
-#include <opencv2/flann/flann.hpp>
-
-using namespace cv; // all the new API is put into "cv" namespace. Export its content
-using namespace std;
-using namespace cv::flann;
-
-// enable/disable use of mixed API in the code below.
-#define DEMO_MIXED_API_USE 1
-
-int main( int argc, char** argv )
-{
- const char* imagename = argc > 1 ? argv[1] : "lena.jpg";
-#if DEMO_MIXED_API_USE
- Ptr<IplImage> iplimg = cvLoadImage(imagename); // Ptr<T> is safe ref-conting pointer class
- if(iplimg.empty())
- {
- fprintf(stderr, "Can not load image %s\n", imagename);
- return -1;
- }
- Mat img(iplimg); // cv::Mat replaces the CvMat and IplImage, but it's easy to convert
- // between the old and the new data structures (by default, only the header
- // is converted, while the data is shared)
-#else
- Mat img = imread(imagename); // the newer cvLoadImage alternative, MATLAB-style function
- if(img.empty())
- {
- fprintf(stderr, "Can not load image %s\n", imagename);
- return -1;
- }
-#endif
-
- if( !img.data ) // check if the image has been loaded properly
- return -1;
-
- Mat img_yuv;
- cvtColor(img, img_yuv, CV_BGR2YCrCb); // convert image to YUV color space. The output image will be created automatically
-
- vector<Mat> planes; // Vector is template vector class, similar to STL's vector. It can store matrices too.
- split(img_yuv, planes); // split the image into separate color planes
-
-#if 1
- // method 1. process Y plane using an iterator
- MatIterator_<uchar> it = planes[0].begin<uchar>(), it_end = planes[0].end<uchar>();
- for(; it != it_end; ++it)
- {
- double v = *it*1.7 + rand()%21-10;
- *it = saturate_cast<uchar>(v*v/255.);
- }
-
- // method 2. process the first chroma plane using pre-stored row pointer.
- // method 3. process the second chroma plane using individual element access
- for( int y = 0; y < img_yuv.rows; y++ )
- {
- uchar* Uptr = planes[1].ptr<uchar>(y);
- for( int x = 0; x < img_yuv.cols; x++ )
- {
- Uptr[x] = saturate_cast<uchar>((Uptr[x]-128)/2 + 128);
- uchar& Vxy = planes[2].at<uchar>(y, x);
- Vxy = saturate_cast<uchar>((Vxy-128)/2 + 128);
- }
- }
-
-#else
- Mat noise(img.size(), CV_8U); // another Mat constructor; allocates a matrix of the specified size and type
- randn(noise, Scalar::all(128), Scalar::all(20)); // fills the matrix with normally distributed random values;
- // there is also randu() for uniformly distributed random number generation
- GaussianBlur(noise, noise, Size(3, 3), 0.5, 0.5); // blur the noise a bit, kernel size is 3x3 and both sigma's are set to 0.5
-
- const double brightness_gain = 0;
- const double contrast_gain = 1.7;
-#if DEMO_MIXED_API_USE
- // it's easy to pass the new matrices to the functions that only work with IplImage or CvMat:
- // step 1) - convert the headers, data will not be copied
- IplImage cv_planes_0 = planes[0], cv_noise = noise;
- // step 2) call the function; do not forget unary "&" to form pointers
- cvAddWeighted(&cv_planes_0, contrast_gain, &cv_noise, 1, -128 + brightness_gain, &cv_planes_0);
-#else
- addWeighted(planes[0], contrast_gain, noise, 1, -128 + brightness_gain, planes[0]);
-#endif
- const double color_scale = 0.5;
- // Mat::convertTo() replaces cvConvertScale. One must explicitly specify the output matrix type (we keep it intact - planes[1].type())
- planes[1].convertTo(planes[1], planes[1].type(), color_scale, 128*(1-color_scale));
- // alternative form of cv::convertScale if we know the datatype at compile time ("uchar" here).
- // This expression will not create any temporary arrays and should be almost as fast as the above variant
- planes[2] = Mat_<uchar>(planes[2]*color_scale + 128*(1-color_scale));
-
- // Mat::mul replaces cvMul(). Again, no temporary arrays are created in case of simple expressions.
- planes[0] = planes[0].mul(planes[0], 1./255);
-#endif
-
- // now merge the results back
- merge(planes, img_yuv);
- // and produce the output RGB image
- cvtColor(img_yuv, img, CV_YCrCb2BGR);
-
- // this is counterpart for cvNamedWindow
- namedWindow("image with grain", CV_WINDOW_AUTOSIZE);
-#if DEMO_MIXED_API_USE
- // this is to demonstrate that img and iplimg really share the data - the result of the above
- // processing is stored in img and thus in iplimg too.
- cvShowImage("image with grain", iplimg);
-#else
- imshow("image with grain", img);
-#endif
- waitKey();
-
- return 0;
- // all the memory will automatically be released by Vector<>, Mat and Ptr<> destructors.
-}
+++ /dev/null
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/imgproc/imgproc_c.h"
-
-#include <stdio.h>
-
-IplImage* inpaint_mask = 0;
-IplImage* img0 = 0, *img = 0, *inpainted = 0;
-CvPoint prev_pt = {-1,-1};
-
-void on_mouse( int event, int x, int y, int flags, void* )
-{
- if( !img )
- return;
-
- if( event == CV_EVENT_LBUTTONUP || !(flags & CV_EVENT_FLAG_LBUTTON) )
- prev_pt = cvPoint(-1,-1);
- else if( event == CV_EVENT_LBUTTONDOWN )
- prev_pt = cvPoint(x,y);
- else if( event == CV_EVENT_MOUSEMOVE && (flags & CV_EVENT_FLAG_LBUTTON) )
- {
- CvPoint pt = cvPoint(x,y);
- if( prev_pt.x < 0 )
- prev_pt = pt;
- cvLine( inpaint_mask, prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
- cvLine( img, prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
- prev_pt = pt;
- cvShowImage( "image", img );
- }
-}
-
-
-int main( int argc, char** argv )
-{
- char* filename = argc >= 2 ? argv[1] : (char*)"fruits.jpg";
-
- if( (img0 = cvLoadImage(filename,-1)) == 0 )
- return 0;
-
- printf( "Hot keys: \n"
- "\tESC - quit the program\n"
- "\tr - restore the original image\n"
- "\ti or SPACE - run inpainting algorithm\n"
- "\t\t(before running it, paint something on the image)\n" );
-
- cvNamedWindow( "image", 1 );
-
- img = cvCloneImage( img0 );
- inpainted = cvCloneImage( img0 );
- inpaint_mask = cvCreateImage( cvGetSize(img), 8, 1 );
-
- cvZero( inpaint_mask );
- cvZero( inpainted );
- cvShowImage( "image", img );
- cvShowImage( "inpainted image", inpainted );
- cvSetMouseCallback( "image", on_mouse, 0 );
-
- for(;;)
- {
- int c = cvWaitKey(0);
-
- if( (char)c == 27 )
- break;
-
- if( (char)c == 'r' )
- {
- cvZero( inpaint_mask );
- cvCopy( img0, img );
- cvShowImage( "image", img );
- }
-
- if( (char)c == 'i' || (char)c == ' ' )
- {
- cvNamedWindow( "inpainted image", 1 );
- cvInpaint( img, inpaint_mask, inpainted, 3, CV_INPAINT_TELEA );
- cvShowImage( "inpainted image", inpainted );
- }
- }
-
- return 1;
-}
void help()
{
-
printf( "This is a camera calibration sample that calibrates 3 horizontally placed cameras together.\n"
"Usage: 3calibration\n"
" -w <board_width> # the number of inner corners per one of board dimension\n"
}
-
-
-
-
-
-
-
-
-
-
-
-
-
-
static void calcChessboardCorners(Size boardSize, float squareSize, vector<Point3f>& corners)
{
corners.resize(0);
float(i*squareSize), 0));
}
-
static bool run3Calibration( vector<vector<Point2f> > imagePoints1,
vector<vector<Point2f> > imagePoints2,
vector<vector<Point2f> > imagePoints3,
# ---------------------------------------------
MACRO(MY_DEFINE_EXAMPLE name srcs)
set(the_target "example_${name}")
- add_executable(${the_target} ${srcs})
- set_target_properties(${the_target} PROPERTIES
- OUTPUT_NAME "${name}"
- PROJECT_LABEL "(EXAMPLE) ${name}")
- add_dependencies(${the_target} opencv_core opencv_flann opencv_imgproc opencv_highgui
- opencv_ml opencv_video opencv_objdetect opencv_features2d
- opencv_calib3d opencv_legacy opencv_contrib)
- target_link_libraries(${the_target} ${OPENCV_LINKER_LIBS} opencv_core
- opencv_flann opencv_imgproc opencv_highgui opencv_ml opencv_video opencv_objdetect
- opencv_features2d opencv_calib3d opencv_legacy opencv_contrib)
+ add_executable(${the_target} ${srcs})
+ set_target_properties(${the_target} PROPERTIES
+ OUTPUT_NAME "${name}"
+ PROJECT_LABEL "(EXAMPLE) ${name}")
+ add_dependencies(${the_target} opencv_core opencv_flann opencv_imgproc opencv_highgui
+ opencv_ml opencv_video opencv_objdetect opencv_features2d
+ opencv_calib3d opencv_legacy opencv_contrib)
+ target_link_libraries(${the_target} ${OPENCV_LINKER_LIBS} opencv_core
+ opencv_flann opencv_imgproc opencv_highgui opencv_ml opencv_video opencv_objdetect
+ opencv_features2d opencv_calib3d opencv_legacy opencv_contrib)
if(WIN32)
install(TARGETS ${the_target}
--- /dev/null
+#include <iostream>
+#include <vector>
+#include <algorithm>
+#include <iterator>
+
+#include <opencv2/calib3d/calib3d.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+#include <opencv2/highgui/highgui.hpp>
+
+using namespace cv;
+using namespace std;
+
+namespace cv
+{
+
+/* copy of class defines int tests/cv/chessboardgenerator.h */
+class ChessBoardGenerator
+{
+public:
+ double sensorWidth;
+ double sensorHeight;
+ size_t squareEdgePointsNum;
+ double min_cos;
+ mutable double cov;
+ Size patternSize;
+ int rendererResolutionMultiplier;
+
+ ChessBoardGenerator(const Size& patternSize = Size(8, 6));
+ Mat operator()(const Mat& bg, const Mat& camMat, const Mat& distCoeffs, vector<Point2f>& corners) const;
+ Size cornersSize() const;
+private:
+ void generateEdge(const Point3f& p1, const Point3f& p2, vector<Point3f>& out) const;
+ Mat generageChessBoard(const Mat& bg, const Mat& camMat, const Mat& distCoeffs,
+ const Point3f& zero, const Point3f& pb1, const Point3f& pb2,
+ float sqWidth, float sqHeight, const vector<Point3f>& whole, vector<Point2f>& corners) const;
+ void generateBasis(Point3f& pb1, Point3f& pb2) const;
+ Point3f generateChessBoardCenter(const Mat& camMat, const Size& imgSize) const;
+ Mat rvec, tvec;
+};
+};
+
+
+
+const Size imgSize(800, 600);
+const Size brdSize(8, 7);
+const size_t brds_num = 20;
+
+template<class T> ostream& operator<<(ostream& out, const Mat_<T>& mat)
+{
+ for(int j = 0; j < mat.rows; ++j)
+ for(int i = 0; i < mat.cols; ++i)
+ out << mat(j, i) << " ";
+ return out;
+}
+
+int main()
+{
+ cout << "Initializing background...";
+ Mat background(imgSize, CV_8UC3);
+ randu(background, Scalar::all(32), Scalar::all(255));
+ GaussianBlur(background, background, Size(5, 5), 2);
+ cout << "Done" << endl;
+
+ cout << "Initializing chess board generator...";
+ ChessBoardGenerator cbg(brdSize);
+ cbg.rendererResolutionMultiplier = 4;
+ cout << "Done" << endl;
+
+ /* camera params */
+ Mat_<double> camMat(3, 3);
+ camMat << 300., 0., background.cols/2., 0, 300., background.rows/2., 0., 0., 1.;
+
+ Mat_<double> distCoeffs(1, 5);
+ distCoeffs << 1.2, 0.2, 0., 0., 0.;
+
+ cout << "Generating chessboards...";
+ vector<Mat> boards(brds_num);
+ vector<Point2f> tmp;
+ for(size_t i = 0; i < brds_num; ++i)
+ cout << (boards[i] = cbg(background, camMat, distCoeffs, tmp), i) << " ";
+ cout << "Done" << endl;
+
+ vector<Point3f> chessboard3D;
+ for(int j = 0; j < cbg.cornersSize().height; ++j)
+ for(int i = 0; i < cbg.cornersSize().width; ++i)
+ chessboard3D.push_back(Point3i(i, j, 0));
+
+ /* init points */
+ vector< vector<Point3f> > objectPoints;
+ vector< vector<Point2f> > imagePoints;
+
+ cout << endl << "Finding chessboards' corners...";
+ for(size_t i = 0; i < brds_num; ++i)
+ {
+ cout << i;
+ namedWindow("Current chessboard"); imshow("Current chessboard", boards[i]); waitKey(100);
+ bool found = findChessboardCorners(boards[i], cbg.cornersSize(), tmp);
+ if (found)
+ {
+ imagePoints.push_back(tmp);
+ objectPoints.push_back(chessboard3D);
+ cout<< "-found ";
+ }
+ else
+ cout<< "-not-found ";
+
+ drawChessboardCorners(boards[i], cbg.cornersSize(), Mat(tmp), found);
+ imshow("Current chessboard", boards[i]); waitKey(1000);
+ }
+ cout << "Done" << endl;
+ cvDestroyAllWindows();
+
+ Mat camMat_est;
+ Mat distCoeffs_est;
+ vector<Mat> rvecs, tvecs;
+
+ cout << "Calibrating...";
+ double rep_err = calibrateCamera(objectPoints, imagePoints, imgSize, camMat_est, distCoeffs_est, rvecs, tvecs);
+ cout << "Done" << endl;
+
+ cout << endl << "Average Reprojection error: " << rep_err/brds_num/cbg.cornersSize().area() << endl;
+ cout << "==================================" << endl;
+ cout << "Original camera matrix:\n" << camMat << endl;
+ cout << "Original distCoeffs:\n" << distCoeffs << endl;
+ cout << "==================================" << endl;
+ cout << "Estiamted camera matrix:\n" << (Mat_<double>&)camMat_est << endl;
+ cout << "Estiamted distCoeffs:\n" << (Mat_<double>&)distCoeffs_est << endl;
+
+ return 0;
+}
+
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+/////////////////////////////////////////////////////////////////////////////////////////////////
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+// Copy of tests/cv/src/chessboardgenerator code. Just do not want to add dependency.
+
+
+ChessBoardGenerator::ChessBoardGenerator(const Size& _patternSize) : sensorWidth(32), sensorHeight(24),
+ squareEdgePointsNum(200), min_cos(sqrt(2.f)*0.5f), cov(0.5),
+ patternSize(_patternSize), rendererResolutionMultiplier(4), tvec(Mat::zeros(1, 3, CV_32F))
+{
+ Rodrigues(Mat::eye(3, 3, CV_32F), rvec);
+}
+
+void cv::ChessBoardGenerator::generateEdge(const Point3f& p1, const Point3f& p2, vector<Point3f>& out) const
+{
+ Point3f step = (p2 - p1) * (1.f/squareEdgePointsNum);
+ for(size_t n = 0; n < squareEdgePointsNum; ++n)
+ out.push_back( p1 + step * (float)n);
+}
+
+Size cv::ChessBoardGenerator::cornersSize() const
+{
+ return Size(patternSize.width-1, patternSize.height-1);
+}
+
+struct Mult
+{
+ float m;
+ Mult(int mult) : m((float)mult) {}
+ Point2f operator()(const Point2f& p)const { return p * m; }
+};
+
+void cv::ChessBoardGenerator::generateBasis(Point3f& pb1, Point3f& pb2) const
+{
+ RNG& rng = theRNG();
+
+ Vec3f n;
+ for(;;)
+ {
+ n[0] = rng.uniform(-1.f, 1.f);
+ n[1] = rng.uniform(-1.f, 1.f);
+ n[2] = rng.uniform(-1.f, 1.f);
+ float len = (float)norm(n);
+ n[0]/=len;
+ n[1]/=len;
+ n[2]/=len;
+
+ if (fabs(n[2]) > min_cos)
+ break;
+ }
+
+ Vec3f n_temp = n; n_temp[0] += 100;
+ Vec3f b1 = n.cross(n_temp);
+ Vec3f b2 = n.cross(b1);
+ float len_b1 = (float)norm(b1);
+ float len_b2 = (float)norm(b2);
+
+ pb1 = Point3f(b1[0]/len_b1, b1[1]/len_b1, b1[2]/len_b1);
+ pb2 = Point3f(b2[0]/len_b1, b2[1]/len_b2, b2[2]/len_b2);
+}
+
+Mat cv::ChessBoardGenerator::generageChessBoard(const Mat& bg, const Mat& camMat, const Mat& distCoeffs,
+ const Point3f& zero, const Point3f& pb1, const Point3f& pb2,
+ float sqWidth, float sqHeight, const vector<Point3f>& whole,
+ vector<Point2f>& corners) const
+{
+ vector< vector<Point> > squares_black;
+ for(int i = 0; i < patternSize.width; ++i)
+ for(int j = 0; j < patternSize.height; ++j)
+ if ( (i % 2 == 0 && j % 2 == 0) || (i % 2 != 0 && j % 2 != 0) )
+ {
+ vector<Point3f> pts_square3d;
+ vector<Point2f> pts_square2d;
+
+ Point3f p1 = zero + (i + 0) * sqWidth * pb1 + (j + 0) * sqHeight * pb2;
+ Point3f p2 = zero + (i + 1) * sqWidth * pb1 + (j + 0) * sqHeight * pb2;
+ Point3f p3 = zero + (i + 1) * sqWidth * pb1 + (j + 1) * sqHeight * pb2;
+ Point3f p4 = zero + (i + 0) * sqWidth * pb1 + (j + 1) * sqHeight * pb2;
+ generateEdge(p1, p2, pts_square3d);
+ generateEdge(p2, p3, pts_square3d);
+ generateEdge(p3, p4, pts_square3d);
+ generateEdge(p4, p1, pts_square3d);
+
+ projectPoints( Mat(pts_square3d), rvec, tvec, camMat, distCoeffs, pts_square2d);
+ squares_black.resize(squares_black.size() + 1);
+ vector<Point2f> temp;
+ approxPolyDP(Mat(pts_square2d), temp, 1.0, true);
+ transform(temp.begin(), temp.end(), back_inserter(squares_black.back()), Mult(rendererResolutionMultiplier));
+ }
+
+ /* calculate corners */
+ vector<Point3f> corners3d;
+ for(int j = 0; j < patternSize.height - 1; ++j)
+ for(int i = 0; i < patternSize.width - 1; ++i)
+ corners3d.push_back(zero + (i + 1) * sqWidth * pb1 + (j + 1) * sqHeight * pb2);
+ corners.clear();
+ projectPoints( Mat(corners3d), rvec, tvec, camMat, distCoeffs, corners);
+
+ vector<Point3f> whole3d;
+ vector<Point2f> whole2d;
+ generateEdge(whole[0], whole[1], whole3d);
+ generateEdge(whole[1], whole[2], whole3d);
+ generateEdge(whole[2], whole[3], whole3d);
+ generateEdge(whole[3], whole[0], whole3d);
+ projectPoints( Mat(whole3d), rvec, tvec, camMat, distCoeffs, whole2d);
+ vector<Point2f> temp_whole2d;
+ approxPolyDP(Mat(whole2d), temp_whole2d, 1.0, true);
+
+ vector< vector<Point > > whole_contour(1);
+ transform(temp_whole2d.begin(), temp_whole2d.end(),
+ back_inserter(whole_contour.front()), Mult(rendererResolutionMultiplier));
+
+ Mat result;
+ if (rendererResolutionMultiplier == 1)
+ {
+ result = bg.clone();
+ drawContours(result, whole_contour, -1, Scalar::all(255), CV_FILLED, CV_AA);
+ drawContours(result, squares_black, -1, Scalar::all(0), CV_FILLED, CV_AA);
+ }
+ else
+ {
+ Mat tmp;
+ resize(bg, tmp, bg.size() * rendererResolutionMultiplier);
+ drawContours(tmp, whole_contour, -1, Scalar::all(255), CV_FILLED, CV_AA);
+ drawContours(tmp, squares_black, -1, Scalar::all(0), CV_FILLED, CV_AA);
+ resize(tmp, result, bg.size(), 0, 0, INTER_AREA);
+ }
+ return result;
+}
+
+Mat cv::ChessBoardGenerator::operator ()(const Mat& bg, const Mat& camMat, const Mat& distCoeffs, vector<Point2f>& corners) const
+{
+ cov = min(cov, 0.8);
+ double fovx, fovy, focalLen;
+ Point2d principalPoint;
+ double aspect;
+ calibrationMatrixValues( camMat, bg.size(), sensorWidth, sensorHeight,
+ fovx, fovy, focalLen, principalPoint, aspect);
+
+ RNG& rng = theRNG();
+
+ float d1 = static_cast<float>(rng.uniform(0.1, 10.0));
+ float ah = static_cast<float>(rng.uniform(-fovx/2 * cov, fovx/2 * cov) * CV_PI / 180);
+ float av = static_cast<float>(rng.uniform(-fovy/2 * cov, fovy/2 * cov) * CV_PI / 180);
+
+ Point3f p;
+ p.z = cos(ah) * d1;
+ p.x = sin(ah) * d1;
+ p.y = p.z * tan(av);
+
+ Point3f pb1, pb2;
+ generateBasis(pb1, pb2);
+
+ float cbHalfWidth = static_cast<float>(norm(p) * sin( min(fovx, fovy) * 0.5 * CV_PI / 180));
+ float cbHalfHeight = cbHalfWidth * patternSize.height / patternSize.width;
+
+ vector<Point3f> pts3d(4);
+ vector<Point2f> pts2d(4);
+ for(;;)
+ {
+ pts3d[0] = p + pb1 * cbHalfWidth + cbHalfHeight * pb2;
+ pts3d[1] = p + pb1 * cbHalfWidth - cbHalfHeight * pb2;
+ pts3d[2] = p - pb1 * cbHalfWidth - cbHalfHeight * pb2;
+ pts3d[3] = p - pb1 * cbHalfWidth + cbHalfHeight * pb2;
+
+ /* can remake with better perf */
+ projectPoints( Mat(pts3d), rvec, tvec, camMat, distCoeffs, pts2d);
+
+ bool inrect1 = pts2d[0].x < bg.cols && pts2d[0].y < bg.rows && pts2d[0].x > 0 && pts2d[0].y > 0;
+ bool inrect2 = pts2d[1].x < bg.cols && pts2d[1].y < bg.rows && pts2d[1].x > 0 && pts2d[1].y > 0;
+ bool inrect3 = pts2d[2].x < bg.cols && pts2d[2].y < bg.rows && pts2d[2].x > 0 && pts2d[2].y > 0;
+ bool inrect4 = pts2d[3].x < bg.cols && pts2d[3].y < bg.rows && pts2d[3].x > 0 && pts2d[3].y > 0;
+
+ if ( inrect1 && inrect2 && inrect3 && inrect4)
+ break;
+
+ cbHalfWidth*=0.8f;
+ cbHalfHeight = cbHalfWidth * patternSize.height / patternSize.width;
+ }
+
+ cbHalfWidth *= static_cast<float>(patternSize.width)/(patternSize.width + 1);
+ cbHalfHeight *= static_cast<float>(patternSize.height)/(patternSize.height + 1);
+
+ Point3f zero = p - pb1 * cbHalfWidth - cbHalfHeight * pb2;
+ float sqWidth = 2 * cbHalfWidth/patternSize.width;
+ float sqHeight = 2 * cbHalfHeight/patternSize.height;
+
+ return generageChessBoard(bg, camMat, distCoeffs, zero, pb1, pb2, sqWidth, sqHeight, pts3d, corners);
+}
+
#include <opencv2/video/tracking.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
#include <ctype.h>
-IplImage *image = 0, *hsv = 0, *hue = 0, *mask = 0, *backproject = 0, *histimg = 0;
-CvHistogram *hist = 0;
-
-int backproject_mode = 0;
-int select_object = 0;
-int track_object = 0;
-int show_hist = 1;
-CvPoint origin;
-CvRect selection;
-CvRect track_window;
-CvBox2D track_box;
-CvConnectedComp track_comp;
-int hdims = 16;
-float hranges_arr[] = {0,180};
-float* hranges = hranges_arr;
+using namespace cv;
+using namespace std;
+
+Mat image;
+
+bool backprojMode = false;
+bool selectObject = false;
+int trackObject = 0;
+bool showHist = true;
+Point origin;
+Rect selection;
int vmin = 10, vmax = 256, smin = 30;
void onMouse( int event, int x, int y, int flags, void* param )
{
selection.x = MIN(x, origin.x);
selection.y = MIN(y, origin.y);
- selection.width = selection.x + std::abs(x - origin.x);
- selection.height = selection.y + std::abs(y - origin.y);
-
- selection.x = MAX(selection.x, 0);
- selection.y = MAX(selection.y, 0);
- selection.width = MIN(selection.width, image.cols);
- selection.height = MIN(selection.height, image.rows);
- selection.width -= selection.x;
- selection.height -= selection.y;
+ selection.width = std::abs(x - origin.x);
+ selection.height = std::abs(y - origin.y);
+
+ selection &= Rect(0, 0, image.cols, image.rows);
}
switch( event )
}
}
-
-Scalar hsv2rgb( float hue )
-{
- int rgb[3], p, sector;
- static const int sectorData[][3]=
- {{0,2,1}, {1,2,0}, {1,0,2}, {2,0,1}, {2,1,0}, {0,1,2}};
- hue *= 0.033333333333333333333333333333333f;
- sector = cvFloor(hue);
- p = cvRound(255*(hue - sector));
- p ^= sector & 1 ? 255 : 0;
-
- rgb[sector_data[sector][0]] = 255;
- rgb[sector_data[sector][1]] = 0;
- rgb[sector_data[sector][2]] = p;
-
- return cvScalar(rgb[2], rgb[1], rgb[0],0);
-}
-
int main( int argc, char** argv )
{
- CvCapture* capture = 0;
+ VideoCapture cap;
+ Rect trackWindow;
+ RotatedRect trackBox;
+ CvConnectedComp trackComp;
+ int hsize = 16;
+ float hranges[] = {0,180};
+ const float* phranges = hranges;
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
- capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 );
+ cap.open(argc == 2 ? argv[1][0] - '0' : 0);
else if( argc == 2 )
- capture = cvCaptureFromAVI( argv[1] );
+ cap.open(argv[1]);
- if( !capture )
+ if( !cap.isOpened() )
{
- fprintf(stderr,"Could not initialize capturing...\n");
- return -1;
+ cout << "Could not initialize capturing...\n";
+ return 0;
}
- printf( "Hot keys: \n"
+ cout << "Hot keys: \n"
"\tESC - quit the program\n"
"\tc - stop the tracking\n"
"\tb - switch to/from backprojection view\n"
"\th - show/hide object histogram\n"
- "To initialize tracking, select the object with mouse\n" );
+ "To initialize tracking, select the object with mouse\n";
- cvNamedWindow( "Histogram", 1 );
- cvNamedWindow( "CamShiftDemo", 1 );
- cvSetMouseCallback( "CamShiftDemo", on_mouse, 0 );
- cvCreateTrackbar( "Vmin", "CamShiftDemo", &vmin, 256, 0 );
- cvCreateTrackbar( "Vmax", "CamShiftDemo", &vmax, 256, 0 );
- cvCreateTrackbar( "Smin", "CamShiftDemo", &smin, 256, 0 );
+ namedWindow( "Histogram", 1 );
+ namedWindow( "CamShift Demo", 1 );
+ setMouseCallback( "CamShift Demo", onMouse, 0 );
+ createTrackbar( "Vmin", "CamShift Demo", &vmin, 256, 0 );
+ createTrackbar( "Vmax", "CamShift Demo", &vmax, 256, 0 );
+ createTrackbar( "Smin", "CamShift Demo", &smin, 256, 0 );
+ Mat hsv, hue, mask, hist, histimg = Mat::zeros(200, 320, CV_8UC3), backproj;
+
for(;;)
{
- IplImage* frame = 0;
- int i, bin_w, c;
-
- frame = cvQueryFrame( capture );
- if( !frame )
+ Mat frame;
+ cap >> frame;
+ if( frame.empty() )
break;
- if( !image )
- {
- /* allocate all the buffers */
- image = cvCreateImage( cvGetSize(frame), 8, 3 );
- image->origin = frame->origin;
- hsv = cvCreateImage( cvGetSize(frame), 8, 3 );
- hue = cvCreateImage( cvGetSize(frame), 8, 1 );
- mask = cvCreateImage( cvGetSize(frame), 8, 1 );
- backproject = cvCreateImage( cvGetSize(frame), 8, 1 );
- hist = cvCreateHist( 1, &hdims, CV_HIST_ARRAY, &hranges, 1 );
- histimg = cvCreateImage( cvSize(320,200), 8, 3 );
- cvZero( histimg );
- }
-
- cvCopy( frame, image, 0 );
- cvCvtColor( image, hsv, CV_BGR2HSV );
+ frame.copyTo(image);
+ cvtColor(image, hsv, CV_BGR2HSV);
- if( track_object )
+ if( trackObject )
{
int _vmin = vmin, _vmax = vmax;
- cvInRangeS( hsv, cvScalar(0,smin,MIN(_vmin,_vmax),0),
- cvScalar(180,256,MAX(_vmin,_vmax),0), mask );
- cvSplit( hsv, hue, 0, 0, 0 );
+ inRange(hsv, Scalar(0, smin, MIN(_vmin,_vmax)),
+ Scalar(180, 256, MAX(_vmin, _vmax)), mask);
+ int ch[] = {0, 0};
+ hue.create(hsv.size(), hsv.depth());
+ mixChannels(&hsv, 1, &hue, 1, ch, 1);
- if( track_object < 0 )
+ if( trackObject < 0 )
{
- float max_val = 0.f;
- cvSetImageROI( hue, selection );
- cvSetImageROI( mask, selection );
- cvCalcHist( &hue, hist, 0, mask );
- cvGetMinMaxHistValue( hist, 0, &max_val, 0, 0 );
- cvConvertScale( hist->bins, hist->bins, max_val ? 255. / max_val : 0., 0 );
- cvResetImageROI( hue );
- cvResetImageROI( mask );
- track_window = selection;
- track_object = 1;
-
- cvZero( histimg );
- bin_w = histimg->width / hdims;
- for( i = 0; i < hdims; i++ )
+ Mat roi(hue, selection), maskroi(mask, selection);
+ calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);
+ normalize(hist, hist, 0, 255, CV_MINMAX);
+
+ trackWindow = selection;
+ trackObject = 1;
+
+ histimg = Scalar::all(0);
+ int binW = histimg.cols / hsize;
+ Mat buf(1, hsize, CV_8UC3);
+ for( int i = 0; i < hsize; i++ )
+ buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180./hsize), 255, 255);
+ cvtColor(buf, buf, CV_HSV2BGR);
+
+ for( int i = 0; i < hsize; i++ )
{
- int val = cvRound( cvGetReal1D(hist->bins,i)*histimg->height/255 );
- CvScalar color = hsv2rgb(i*180.f/hdims);
- cvRectangle( histimg, cvPoint(i*bin_w,histimg->height),
- cvPoint((i+1)*bin_w,histimg->height - val),
- color, -1, 8, 0 );
+ int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows/255);
+ rectangle( histimg, Point(i*binW,histimg.rows),
+ Point((i+1)*binW,histimg.rows - val),
+ Scalar(buf.at<Vec3b>(i)), -1, 8 );
}
}
- cvCalcBackProject( &hue, backproject, hist );
- cvAnd( backproject, mask, backproject, 0 );
- cvCamShift( backproject, track_window,
- cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),
- &track_comp, &track_box );
- track_window = track_comp.rect;
-
- if( backproject_mode )
- cvCvtColor( backproject, image, CV_GRAY2BGR );
- if( !image->origin )
- track_box.angle = -track_box.angle;
- cvEllipseBox( image, track_box, CV_RGB(255,0,0), 3, CV_AA, 0 );
+ calcBackProject(&hue, 1, 0, hist, backproj, &phranges);
+ backproj &= mask;
+ RotatedRect trackBox = CamShift(backproj, trackWindow,
+ TermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ));
+ trackBox.angle = 90-trackBox.angle;
+
+ if( backprojMode )
+ cvtColor( backproj, image, CV_GRAY2BGR );
+ ellipse( image, trackBox, Scalar(0,0,255), 3, CV_AA );
}
- if( select_object && selection.width > 0 && selection.height > 0 )
+ if( selectObject && selection.width > 0 && selection.height > 0 )
{
- cvSetImageROI( image, selection );
- cvXorS( image, cvScalarAll(255), image, 0 );
- cvResetImageROI( image );
+ Mat roi(image, selection);
+ bitwise_not(roi, roi);
}
- cvShowImage( "CamShiftDemo", image );
- cvShowImage( "Histogram", histimg );
+ imshow( "CamShift Demo", image );
+ imshow( "Histogram", histimg );
- c = cvWaitKey(10);
- if( (char) c == 27 )
+ char c = (char)waitKey(10);
+ if( c == 27 )
break;
- switch( (char) c )
+ switch(c)
{
case 'b':
- backproject_mode ^= 1;
+ backprojMode = !backprojMode;
break;
case 'c':
- track_object = 0;
- cvZero( histimg );
+ trackObject = 0;
+ histimg = Scalar::all(0);
break;
case 'h':
- show_hist ^= 1;
- if( !show_hist )
- cvDestroyWindow( "Histogram" );
+ showHist = !showHist;
+ if( !showHist )
+ destroyWindow( "Histogram" );
else
- cvNamedWindow( "Histogram", 1 );
+ namedWindow( "Histogram", 1 );
break;
default:
;
}
}
- cvReleaseCapture( &capture );
- cvDestroyWindow("CamShiftDemo");
-
return 0;
}
--- /dev/null
+/********************************************************************************
+*
+*
+* This program is demonstration for ellipse fitting. Program finds
+* contours and approximate it by ellipses.
+*
+* Trackbar specify threshold parametr.
+*
+* White lines is contours. Red lines is fitting ellipses.
+*
+*
+* Autor: Denis Burenkov.
+*
+*
+*
+********************************************************************************/
+#include "opencv2/imgproc/imgproc.hpp"
+#include "opencv2/highgui/highgui.hpp"
+
+#include <iostream>
+
+using namespace cv;
+using namespace std;
+
+int sliderPos = 70;
+
+Mat image;
+
+void processImage(int, void*);
+
+int main( int argc, char** argv )
+{
+ const char* filename = argc == 2 ? argv[1] : (char*)"stuff.jpg";
+ image = imread(filename, 0);
+ if( image.empty() )
+ {
+ cout << "Usage: fitellipse <image_name>\n";
+ return 0;
+ }
+
+ imshow("source", image);
+ namedWindow("result", 1);
+
+ // Create toolbars. HighGUI use.
+ createTrackbar( "threshold", "result", &sliderPos, 255, processImage );
+ processImage(0, 0);
+
+ // Wait for a key stroke; the same function arranges events processing
+ waitKey();
+ return 0;
+}
+
+// Define trackbar callback functon. This function find contours,
+// draw it and approximate it by ellipses.
+void processImage(int h, void*)
+{
+ vector<vector<Point> > contours;
+ Mat bimage = image >= sliderPos;
+
+ findContours(bimage, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);
+
+ Mat cimage = Mat::zeros(bimage.size(), CV_8UC3);
+
+ for(size_t i = 0; i < contours.size(); i++)
+ {
+ size_t count = contours[i].size();
+ if( count < 6 )
+ continue;
+
+ Mat pointsf;
+ Mat(contours[i]).convertTo(pointsf, CV_32F);
+ RotatedRect box = fitEllipse(pointsf);
+
+ box.angle = -box.angle;
+ if( MAX(box.size.width, box.size.height) > MIN(box.size.width, box.size.height)*30 )
+ continue;
+ drawContours(cimage, contours, (int)i, Scalar::all(255), 1, 8);
+
+ ellipse(cimage, box, Scalar(0,0,255), 1, CV_AA);
+ }
+
+ imshow("result", cimage);
+}
--- /dev/null
+#include "cv.h" // include standard OpenCV headers, same as before
+#include "highgui.h"
+#include "ml.h"
+#include <stdio.h>
+#include <iostream>
+#include <opencv2/flann/flann.hpp>
+
+using namespace cv; // all the new API is put into "cv" namespace. Export its content
+using namespace std;
+using namespace cv::flann;
+
+// enable/disable use of mixed API in the code below.
+#define DEMO_MIXED_API_USE 1
+
+int main( int argc, char** argv )
+{
+ const char* imagename = argc > 1 ? argv[1] : "lena.jpg";
+#if DEMO_MIXED_API_USE
+ Ptr<IplImage> iplimg = cvLoadImage(imagename); // Ptr<T> is safe ref-conting pointer class
+ if(iplimg.empty())
+ {
+ fprintf(stderr, "Can not load image %s\n", imagename);
+ return -1;
+ }
+ Mat img(iplimg); // cv::Mat replaces the CvMat and IplImage, but it's easy to convert
+ // between the old and the new data structures (by default, only the header
+ // is converted, while the data is shared)
+#else
+ Mat img = imread(imagename); // the newer cvLoadImage alternative, MATLAB-style function
+ if(img.empty())
+ {
+ fprintf(stderr, "Can not load image %s\n", imagename);
+ return -1;
+ }
+#endif
+
+ if( !img.data ) // check if the image has been loaded properly
+ return -1;
+
+ Mat img_yuv;
+ cvtColor(img, img_yuv, CV_BGR2YCrCb); // convert image to YUV color space. The output image will be created automatically
+
+ vector<Mat> planes; // Vector is template vector class, similar to STL's vector. It can store matrices too.
+ split(img_yuv, planes); // split the image into separate color planes
+
+#if 1
+ // method 1. process Y plane using an iterator
+ MatIterator_<uchar> it = planes[0].begin<uchar>(), it_end = planes[0].end<uchar>();
+ for(; it != it_end; ++it)
+ {
+ double v = *it*1.7 + rand()%21-10;
+ *it = saturate_cast<uchar>(v*v/255.);
+ }
+
+ // method 2. process the first chroma plane using pre-stored row pointer.
+ // method 3. process the second chroma plane using individual element access
+ for( int y = 0; y < img_yuv.rows; y++ )
+ {
+ uchar* Uptr = planes[1].ptr<uchar>(y);
+ for( int x = 0; x < img_yuv.cols; x++ )
+ {
+ Uptr[x] = saturate_cast<uchar>((Uptr[x]-128)/2 + 128);
+ uchar& Vxy = planes[2].at<uchar>(y, x);
+ Vxy = saturate_cast<uchar>((Vxy-128)/2 + 128);
+ }
+ }
+
+#else
+ Mat noise(img.size(), CV_8U); // another Mat constructor; allocates a matrix of the specified size and type
+ randn(noise, Scalar::all(128), Scalar::all(20)); // fills the matrix with normally distributed random values;
+ // there is also randu() for uniformly distributed random number generation
+ GaussianBlur(noise, noise, Size(3, 3), 0.5, 0.5); // blur the noise a bit, kernel size is 3x3 and both sigma's are set to 0.5
+
+ const double brightness_gain = 0;
+ const double contrast_gain = 1.7;
+#if DEMO_MIXED_API_USE
+ // it's easy to pass the new matrices to the functions that only work with IplImage or CvMat:
+ // step 1) - convert the headers, data will not be copied
+ IplImage cv_planes_0 = planes[0], cv_noise = noise;
+ // step 2) call the function; do not forget unary "&" to form pointers
+ cvAddWeighted(&cv_planes_0, contrast_gain, &cv_noise, 1, -128 + brightness_gain, &cv_planes_0);
+#else
+ addWeighted(planes[0], contrast_gain, noise, 1, -128 + brightness_gain, planes[0]);
+#endif
+ const double color_scale = 0.5;
+ // Mat::convertTo() replaces cvConvertScale. One must explicitly specify the output matrix type (we keep it intact - planes[1].type())
+ planes[1].convertTo(planes[1], planes[1].type(), color_scale, 128*(1-color_scale));
+ // alternative form of cv::convertScale if we know the datatype at compile time ("uchar" here).
+ // This expression will not create any temporary arrays and should be almost as fast as the above variant
+ planes[2] = Mat_<uchar>(planes[2]*color_scale + 128*(1-color_scale));
+
+ // Mat::mul replaces cvMul(). Again, no temporary arrays are created in case of simple expressions.
+ planes[0] = planes[0].mul(planes[0], 1./255);
+#endif
+
+ // now merge the results back
+ merge(planes, img_yuv);
+ // and produce the output RGB image
+ cvtColor(img_yuv, img, CV_YCrCb2BGR);
+
+ // this is counterpart for cvNamedWindow
+ namedWindow("image with grain", CV_WINDOW_AUTOSIZE);
+#if DEMO_MIXED_API_USE
+ // this is to demonstrate that img and iplimg really share the data - the result of the above
+ // processing is stored in img and thus in iplimg too.
+ cvShowImage("image with grain", iplimg);
+#else
+ imshow("image with grain", img);
+#endif
+ waitKey();
+
+ return 0;
+ // all the memory will automatically be released by Vector<>, Mat and Ptr<> destructors.
+}
--- /dev/null
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+
+#include <iostream>
+
+using namespace cv;
+using namespace std;
+
+Mat img, inpaintMask;
+Point prevPt(-1,-1);
+
+void onMouse( int event, int x, int y, int flags, void* )
+{
+ if( event == CV_EVENT_LBUTTONUP || !(flags & CV_EVENT_FLAG_LBUTTON) )
+ prevPt = Point(-1,-1);
+ else if( event == CV_EVENT_LBUTTONDOWN )
+ prevPt = Point(x,y);
+ else if( event == CV_EVENT_MOUSEMOVE && (flags & CV_EVENT_FLAG_LBUTTON) )
+ {
+ Point pt(x,y);
+ if( prevPt.x < 0 )
+ prevPt = pt;
+ line( inpaintMask, prevPt, pt, Scalar::all(255), 5, 8, 0 );
+ line( img, prevPt, pt, Scalar::all(255), 5, 8, 0 );
+ prevPt = pt;
+ imshow("image", img);
+ }
+}
+
+
+int main( int argc, char** argv )
+{
+ char* filename = argc >= 2 ? argv[1] : (char*)"fruits.jpg";
+ Mat img0 = imread(filename, -1);
+ if(img0.empty())
+ {
+ cout << "Usage: inpaint <image_name>\n";
+ return 0;
+ }
+
+ cout << "Hot keys: \n"
+ "\tESC - quit the program\n"
+ "\tr - restore the original image\n"
+ "\ti or SPACE - run inpainting algorithm\n"
+ "\t\t(before running it, paint something on the image)\n";
+
+ namedWindow( "image", 1 );
+
+ img = img0.clone();
+ inpaintMask = Mat::zeros(img.size(), CV_8U);
+
+ imshow("image", img);
+ setMouseCallback( "image", onMouse, 0 );
+
+ for(;;)
+ {
+ char c = (char)waitKey();
+
+ if( c == 27 )
+ break;
+
+ if( c == 'r' )
+ {
+ inpaintMask = Scalar::all(0);
+ img0.copyTo(img);
+ imshow("image", img);
+ }
+
+ if( c == 'i' || c == ' ' )
+ {
+ Mat inpainted;
+ inpaint(img, inpaintMask, inpainted, 3, CV_INPAINT_TELEA);
+ imshow("inpainted image", inpainted);
+ }
+ }
+
+ return 0;
+}
#include "opencv2/video/tracking.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
+#include <iostream>
#include <ctype.h>
-#include <stdio.h>
-IplImage *image = 0, *grey = 0, *prev_grey = 0, *pyramid = 0, *prev_pyramid = 0, *swap_temp;
+using namespace cv;
+using namespace std;
-int win_size = 10;
-const int MAX_COUNT = 500;
-CvPoint2D32f* points[2] = {0,0}, *swap_points;
-char* status = 0;
-int count = 0;
-int need_to_init = 0;
-int night_mode = 0;
-int flags = 0;
-int add_remove_pt = 0;
-CvPoint pt;
+Point2f pt;
+bool addRemovePt = false;
-
-void on_mouse( int event, int x, int y, int flags, void* param )
+void onMouse( int event, int x, int y, int flags, void* param )
{
- if( !image )
- return;
-
- if( image->origin )
- y = image->height - y;
-
if( event == CV_EVENT_LBUTTONDOWN )
{
- pt = cvPoint(x,y);
- add_remove_pt = 1;
+ pt = Point2f((float)x,(float)y);
+ addRemovePt = true;
}
}
-
int main( int argc, char** argv )
{
- CvCapture* capture = 0;
-
+ VideoCapture cap;
+ TermCriteria termcrit(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03);
+ Size winSize(10,10);
+
+ const int MAX_COUNT = 500;
+ bool needToInit = false;
+ bool nightMode = false;
+
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
- capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 );
+ cap.open(argc == 2 ? argv[1][0] - '0' : 0);
else if( argc == 2 )
- capture = cvCaptureFromAVI( argv[1] );
+ cap.open(argv[1]);
- if( !capture )
+ if( !cap.isOpened() )
{
- fprintf(stderr,"Could not initialize capturing...\n");
- return -1;
+ cout << "Could not initialize capturing...\n";
+ return 0;
}
- /* print a welcome message, and the OpenCV version */
- printf ("Welcome to lkdemo, using OpenCV version %s (%d.%d.%d)\n",
- CV_VERSION,
- CV_MAJOR_VERSION, CV_MINOR_VERSION, CV_SUBMINOR_VERSION);
+ // print a welcome message, and the OpenCV version
+ cout << "Welcome to lkdemo, using OpenCV version %s\n" << CV_VERSION;
- printf( "Hot keys: \n"
+ cout << "\nHot keys: \n"
"\tESC - quit the program\n"
"\tr - auto-initialize tracking\n"
"\tc - delete all the points\n"
"\tn - switch the \"night\" mode on/off\n"
- "To add/remove a feature point click it\n" );
+ "To add/remove a feature point click it\n";
- cvNamedWindow( "LkDemo", 0 );
- cvSetMouseCallback( "LkDemo", on_mouse, 0 );
+ namedWindow( "LK Demo", 1 );
+ setMouseCallback( "LK Demo", onMouse, 0 );
+ Mat gray, prevGray, image;
+ vector<Point2f> points[2];
+
for(;;)
{
- IplImage* frame = 0;
- int i, k, c;
-
- frame = cvQueryFrame( capture );
- if( !frame )
+ Mat frame;
+ cap >> frame;
+ if( frame.empty() )
break;
- if( !image )
- {
- /* allocate all the buffers */
- image = cvCreateImage( cvGetSize(frame), 8, 3 );
- image->origin = frame->origin;
- grey = cvCreateImage( cvGetSize(frame), 8, 1 );
- prev_grey = cvCreateImage( cvGetSize(frame), 8, 1 );
- pyramid = cvCreateImage( cvGetSize(frame), 8, 1 );
- prev_pyramid = cvCreateImage( cvGetSize(frame), 8, 1 );
- points[0] = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(points[0][0]));
- points[1] = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(points[0][0]));
- status = (char*)cvAlloc(MAX_COUNT);
- flags = 0;
- }
-
- cvCopy( frame, image, 0 );
- cvCvtColor( image, grey, CV_BGR2GRAY );
+ frame.copyTo(image);
+ cvtColor(image, gray, CV_BGR2GRAY);
- if( night_mode )
- cvZero( image );
+ if( nightMode )
+ image = Scalar::all(0);
- if( need_to_init )
+ if( needToInit )
{
- /* automatic initialization */
- IplImage* eig = cvCreateImage( cvGetSize(grey), 32, 1 );
- IplImage* temp = cvCreateImage( cvGetSize(grey), 32, 1 );
- double quality = 0.01;
- double min_distance = 10;
-
- count = MAX_COUNT;
- cvGoodFeaturesToTrack( grey, eig, temp, points[1], &count,
- quality, min_distance, 0, 3, 0, 0.04 );
- cvFindCornerSubPix( grey, points[1], count,
- cvSize(win_size,win_size), cvSize(-1,-1),
- cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03));
- cvReleaseImage( &eig );
- cvReleaseImage( &temp );
-
- add_remove_pt = 0;
+ // automatic initialization
+ goodFeaturesToTrack(gray, points[1], MAX_COUNT, 0.01, 10, Mat(), 3, 0, 0.04);
+ cornerSubPix(gray, points[1], winSize, Size(-1,-1), termcrit);
+ addRemovePt = false;
}
- else if( count > 0 )
+ else if( !points[0].empty() )
{
- cvCalcOpticalFlowPyrLK( prev_grey, grey, prev_pyramid, pyramid,
- points[0], points[1], count, cvSize(win_size,win_size), 3, status, 0,
- cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03), flags );
- flags |= CV_LKFLOW_PYR_A_READY;
- for( i = k = 0; i < count; i++ )
+ vector<uchar> status;
+ vector<float> err;
+ if(prevGray.empty())
+ gray.copyTo(prevGray);
+ calcOpticalFlowPyrLK(prevGray, gray, points[0], points[1], status, err, winSize,
+ 3, termcrit, 0);
+ size_t i, k;
+ for( i = k = 0; i < points[1].size(); i++ )
{
- if( add_remove_pt )
+ if( addRemovePt )
{
- double dx = pt.x - points[1][i].x;
- double dy = pt.y - points[1][i].y;
-
- if( dx*dx + dy*dy <= 25 )
+ if( norm(pt - points[1][i]) <= 5 )
{
- add_remove_pt = 0;
+ addRemovePt = false;
continue;
}
}
continue;
points[1][k++] = points[1][i];
- cvCircle( image, cvPointFrom32f(points[1][i]), 3, CV_RGB(0,255,0), -1, 8,0);
+ circle( image, points[1][i], 3, Scalar(0,255,0), -1, 8);
}
- count = k;
+ points[1].resize(k);
}
- if( add_remove_pt && count < MAX_COUNT )
+ if( addRemovePt && points[1].size() < MAX_COUNT )
{
- points[1][count++] = cvPointTo32f(pt);
- cvFindCornerSubPix( grey, points[1] + count - 1, 1,
- cvSize(win_size,win_size), cvSize(-1,-1),
- cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03));
- add_remove_pt = 0;
+ vector<Point2f> tmp;
+ tmp.push_back(pt);
+ cornerSubPix( gray, tmp, winSize, cvSize(-1,-1), termcrit);
+ points[1].push_back(tmp[0]);
+ addRemovePt = false;
}
- CV_SWAP( prev_grey, grey, swap_temp );
- CV_SWAP( prev_pyramid, pyramid, swap_temp );
- CV_SWAP( points[0], points[1], swap_points );
- need_to_init = 0;
- cvShowImage( "LkDemo", image );
+ needToInit = false;
+ imshow("LK Demo", image);
- c = cvWaitKey(10);
- if( (char)c == 27 )
+ char c = (char)waitKey(10);
+ if( c == 27 )
break;
- switch( (char) c )
+ switch( c )
{
case 'r':
- need_to_init = 1;
+ needToInit = true;
break;
case 'c':
- count = 0;
+ points[1].clear();
break;
case 'n':
- night_mode ^= 1;
+ nightMode = !nightMode;
break;
default:
;
}
+
+ std::swap(points[1], points[0]);
+ swap(prevGray, gray);
}
- cvReleaseCapture( &capture );
- cvDestroyWindow("LkDemo");
-
return 0;
}
-
-#ifdef _EiC
-main(1,"lkdemo.c");
-#endif
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/imgproc/imgproc_c.h"
+#include "opencv2/imgproc/imgproc.hpp"
#include <vector>
#include <string>
#include <algorithm>
+#include <iostream>
+#include <iterator>
#include <stdio.h>
+#include <stdlib.h>
#include <ctype.h>
+using namespace cv;
using namespace std;
//
// rectified results along with the computed disparity images.
//
static void
-StereoCalib(const char* path, const char* imageList, int useUncalibrated)
+StereoCalib(const vector<string>& imagelist, Size boardSize, bool useCalibrated=true, bool showRectified=true)
{
- CvRect roi1, roi2;
- int nx = 0, ny = 0;
- int displayCorners = 1;
- int showUndistorted = 1;
- bool isVerticalStereo = false;//OpenCV can handle left-right
- //or up-down camera arrangements
- const int maxScale = 1;
- const float squareSize = 1.f; //Set this to your actual square size
- FILE* f = fopen(imageList, "rt");
- int i, j, lr, nframes = 0, n, N = 0;
- vector<string> imageNames[2];
- vector<CvPoint3D32f> objectPoints;
- vector<CvPoint2D32f> points[2];
- vector<CvPoint2D32f> temp_points[2];
- vector<int> npoints;
-// vector<uchar> active[2];
- int is_found[2] = {0, 0};
- vector<CvPoint2D32f> temp;
- CvSize imageSize = {0,0};
- // ARRAY AND VECTOR STORAGE:
- double M1[3][3], M2[3][3], D1[5], D2[5];
- double R[3][3], T[3], E[3][3], F[3][3];
- double Q[4][4];
- CvMat _M1 = cvMat(3, 3, CV_64F, M1 );
- CvMat _M2 = cvMat(3, 3, CV_64F, M2 );
- CvMat _D1 = cvMat(1, 5, CV_64F, D1 );
- CvMat _D2 = cvMat(1, 5, CV_64F, D2 );
- CvMat matR = cvMat(3, 3, CV_64F, R );
- CvMat matT = cvMat(3, 1, CV_64F, T );
- CvMat matE = cvMat(3, 3, CV_64F, E );
- CvMat matF = cvMat(3, 3, CV_64F, F );
-
- CvMat matQ = cvMat(4, 4, CV_64FC1, Q);
-
- char buf[1024];
-
- if( displayCorners )
- cvNamedWindow( "corners", 1 );
-// READ IN THE LIST OF CHESSBOARDS:
- if( !f )
+ if( imagelist.size() % 2 != 0 )
{
- fprintf(stderr, "can not open file %s\n", imageList );
+ cout << "Error: the image list contains odd (non-even) number of elements\n";
return;
}
- if( !fgets(buf, sizeof(buf)-3, f) || sscanf(buf, "%d%d", &nx, &ny) != 2 )
- return;
- n = nx*ny;
- temp.resize(n);
- temp_points[0].resize(n);
- temp_points[1].resize(n);
+ bool displayCorners = true;
+ const int maxScale = 2;
+ const float squareSize = 1.f; // Set this to your actual square size
+ // ARRAY AND VECTOR STORAGE:
- for(i=0;;i++)
+ vector<vector<Point2f> > imagePoints[2];
+ vector<vector<Point3f> > objectPoints;
+ Size imageSize;
+
+ int i, j, k, nimages = (int)imagelist.size()/2;
+
+ imagePoints[0].resize(nimages);
+ imagePoints[1].resize(nimages);
+ vector<string> goodImageList;
+
+ for( i = j = 0; i < nimages; i++ )
{
- int count = 0, result=0;
- lr = i % 2;
- vector<CvPoint2D32f>& pts = temp_points[lr];//points[lr];
- if( !fgets( buf, sizeof(buf)-3, f ))
- break;
- size_t len = strlen(buf);
- while( len > 0 && isspace(buf[len-1]))
- buf[--len] = '\0';
- if( buf[0] == '#')
- continue;
- char fullpath[1024];
- sprintf(fullpath, "%s/%s", path, buf);
- IplImage* img = cvLoadImage( fullpath, 0 );
- if( !img )
- {
- printf("Cannot read file %s\n", fullpath);
- return;
- }
- imageSize = cvGetSize(img);
- imageNames[lr].push_back(buf);
- //FIND CHESSBOARDS AND CORNERS THEREIN:
- for( int s = 1; s <= maxScale; s++ )
+ for( k = 0; k < 2; k++ )
{
- IplImage* timg = img;
- if( s > 1 )
+ const string& filename = imagelist[i*2+k];
+ Mat img = imread(filename, 0);
+ if(img.empty())
+ break;
+ if( imageSize == Size() )
+ imageSize = img.size();
+ else if( img.size() != imageSize )
{
- timg = cvCreateImage(cvSize(img->width*s,img->height*s),
- img->depth, img->nChannels );
- cvResize( img, timg, CV_INTER_CUBIC );
+ cout << "The image " << filename << " has the size different from the first image size. Skipping the pair\n";
+ break;
}
- result = cvFindChessboardCorners( timg, cvSize(nx, ny),
- &temp[0], &count,
- CV_CALIB_CB_ADAPTIVE_THRESH |
- CV_CALIB_CB_NORMALIZE_IMAGE);
- if( timg != img )
- cvReleaseImage( &timg );
- if( result || s == maxScale )
- for( j = 0; j < count; j++ )
+ bool found = false;
+ vector<Point2f>& corners = imagePoints[k][j];
+ for( int scale = 1; scale <= maxScale; scale++ )
{
- temp[j].x /= s;
- temp[j].y /= s;
+ Mat timg;
+ if( scale == 1 )
+ timg = img;
+ else
+ resize(img, timg, Size(), scale, scale);
+ found = findChessboardCorners(timg, boardSize, corners,
+ CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_NORMALIZE_IMAGE);
+ if( found )
+ {
+ if( scale > 1 )
+ {
+ Mat cornersMat(corners);
+ cornersMat *= 1./scale;
+ }
+ break;
+ }
}
- if( result )
+ if( displayCorners )
+ {
+ cout << filename << endl;
+ Mat cimg, cimg1;
+ cvtColor(img, cimg, CV_GRAY2BGR);
+ drawChessboardCorners(cimg, boardSize, corners, found);
+ double sf = 640./MAX(img.rows, img.cols);
+ resize(cimg, cimg1, Size(), sf, sf);
+ imshow("corners", cimg1);
+ char c = (char)waitKey(500);
+ if( c == 27 || c == 'q' || c == 'Q' ) //Allow ESC to quit
+ exit(-1);
+ }
+ else
+ putchar('.');
+ if( !found )
break;
+ cornerSubPix(img, corners, Size(11,11), Size(-1,-1),
+ TermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,
+ 30, 0.01));
}
- if( displayCorners )
+ if( k == 2 )
{
- printf("%s\n", buf);
- IplImage* cimg = cvCreateImage( imageSize, 8, 3 );
- cvCvtColor( img, cimg, CV_GRAY2BGR );
- cvDrawChessboardCorners( cimg, cvSize(nx, ny), &temp[0],
- count, result );
- IplImage* cimg1 = cvCreateImage(cvSize(640, 480), IPL_DEPTH_8U, 3);
- cvResize(cimg, cimg1);
- cvShowImage( "corners", cimg1 );
- cvReleaseImage( &cimg );
- cvReleaseImage( &cimg1 );
- int c = cvWaitKey(1000);
- if( c == 27 || c == 'q' || c == 'Q' ) //Allow ESC to quit
- exit(-1);
- }
- else
- putchar('.');
- //N = pts.size();
- //pts.resize(N + n, cvPoint2D32f(0,0));
- //active[lr].push_back((uchar)result);
- is_found[lr] = result > 0 ? 1 : 0;
- //assert( result != 0 );
- if( result )
- {
- //Calibration will suffer without subpixel interpolation
- cvFindCornerSubPix( img, &temp[0], count,
- cvSize(11, 11), cvSize(-1,-1),
- cvTermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,
- 30, 0.01) );
- copy( temp.begin(), temp.end(), pts.begin() );
- }
- cvReleaseImage( &img );
-
- if(lr)
- {
- if(is_found[0] == 1 && is_found[1] == 1)
- {
- assert(temp_points[0].size() == temp_points[1].size());
- int current_size = points[0].size();
-
- points[0].resize(current_size + temp_points[0].size(), cvPoint2D32f(0.0, 0.0));
- points[1].resize(current_size + temp_points[1].size(), cvPoint2D32f(0.0, 0.0));
-
- copy(temp_points[0].begin(), temp_points[0].end(), points[0].begin() + current_size);
- copy(temp_points[1].begin(), temp_points[1].end(), points[1].begin() + current_size);
-
- nframes++;
-
- printf("Pair successfully detected...\n");
- }
-
- is_found[0] = 0;
- is_found[1] = 0;
-
+ goodImageList.push_back(imagelist[i*2]);
+ goodImageList.push_back(imagelist[i*2+1]);
+ j++;
}
}
- fclose(f);
- printf("\n");
-// HARVEST CHESSBOARD 3D OBJECT POINT LIST:
- objectPoints.resize(nframes*n);
- for( i = 0; i < ny; i++ )
- for( j = 0; j < nx; j++ )
- objectPoints[i*nx + j] =
- cvPoint3D32f(i*squareSize, j*squareSize, 0);
- for( i = 1; i < nframes; i++ )
- copy( objectPoints.begin(), objectPoints.begin() + n,
- objectPoints.begin() + i*n );
- npoints.resize(nframes,n);
- N = nframes*n;
- CvMat _objectPoints = cvMat(1, N, CV_32FC3, &objectPoints[0] );
- CvMat _imagePoints1 = cvMat(1, N, CV_32FC2, &points[0][0] );
- CvMat _imagePoints2 = cvMat(1, N, CV_32FC2, &points[1][0] );
- CvMat _npoints = cvMat(1, npoints.size(), CV_32S, &npoints[0] );
- cvSetIdentity(&_M1);
- cvSetIdentity(&_M2);
- cvZero(&_D1);
- cvZero(&_D2);
+ cout << j << " pairs have been successfully detected.\n";
+ nimages = j;
+ if( nimages < 2 )
+ {
+ cout << "Error: too little pairs to run the calibration\n";
+ return;
+ }
+
+ imagePoints[0].resize(nimages);
+ imagePoints[1].resize(nimages);
+ objectPoints.resize(nimages);
+
+ for( i = 0; i < nimages; i++ )
+ {
+ for( j = 0; j < boardSize.height; j++ )
+ for( k = 0; k < boardSize.width; k++ )
+ objectPoints[i].push_back(Point3f(j*squareSize, k*squareSize, 0));
+ }
+
+ cout << "Running stereo calibration ...\n";
+
+ Mat cameraMatrix[2], distCoeffs[2];
+ cameraMatrix[0] = Mat::eye(3, 3, CV_64F);
+ cameraMatrix[1] = Mat::eye(3, 3, CV_64F);
+ distCoeffs[0] = Mat::zeros(8, 1, CV_64F);
+ distCoeffs[1] = Mat::zeros(8, 1, CV_64F);
+ Mat R, T, E, F;
-// CALIBRATE THE STEREO CAMERAS
- printf("Running stereo calibration ...");
- fflush(stdout);
- cvStereoCalibrate( &_objectPoints, &_imagePoints1,
- &_imagePoints2, &_npoints,
- &_M1, &_D1, &_M2, &_D2,
- imageSize, &matR, &matT, &matE, &matF,
- cvTermCriteria(CV_TERMCRIT_ITER+
- CV_TERMCRIT_EPS, 100, 1e-5),
- CV_CALIB_FIX_ASPECT_RATIO +
- CV_CALIB_ZERO_TANGENT_DIST +
- CV_CALIB_SAME_FOCAL_LENGTH +
- CV_CALIB_FIX_K3);
- printf(" done\n");
+ stereoCalibrate(objectPoints, imagePoints[0], imagePoints[1],
+ cameraMatrix[0], distCoeffs[0],
+ cameraMatrix[1], distCoeffs[1],
+ imageSize, R, T, E, F,
+ TermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS, 100, 1e-5),
+ CV_CALIB_FIX_ASPECT_RATIO +
+ CV_CALIB_ZERO_TANGENT_DIST +
+ CV_CALIB_SAME_FOCAL_LENGTH +
+ CV_CALIB_FIX_K3);
+ cout << "done\n";
// CALIBRATION QUALITY CHECK
// because the output fundamental matrix implicitly
// includes all the output information,
// we can check the quality of calibration using the
// epipolar geometry constraint: m2^t*F*m1=0
- vector<CvPoint3D32f> lines[2];
- points[0].resize(N);
- points[1].resize(N);
- _imagePoints1 = cvMat(1, N, CV_32FC2, &points[0][0] );
- _imagePoints2 = cvMat(1, N, CV_32FC2, &points[1][0] );
- lines[0].resize(N);
- lines[1].resize(N);
- CvMat _L1 = cvMat(1, N, CV_32FC3, &lines[0][0]);
- CvMat _L2 = cvMat(1, N, CV_32FC3, &lines[1][0]);
-//Always work in undistorted space
- cvUndistortPoints( &_imagePoints1, &_imagePoints1,
- &_M1, &_D1, 0, &_M1 );
- cvUndistortPoints( &_imagePoints2, &_imagePoints2,
- &_M2, &_D2, 0, &_M2 );
- cvComputeCorrespondEpilines( &_imagePoints1, 1, &matF, &_L1 );
- cvComputeCorrespondEpilines( &_imagePoints2, 2, &matF, &_L2 );
- double avgErr = 0;
- for( i = 0; i < N; i++ )
+ double err = 0;
+ int npoints = 0;
+ vector<Vec3f> lines[2];
+ for( i = 0; i < nimages; i++ )
{
- double err = fabs(points[0][i].x*lines[1][i].x +
- points[0][i].y*lines[1][i].y + lines[1][i].z)
- + fabs(points[1][i].x*lines[0][i].x +
- points[1][i].y*lines[0][i].y + lines[0][i].z);
- avgErr += err;
+ int npt = (int)imagePoints[0][i].size();
+ Mat imgpt[2];
+ for( k = 0; k < 2; k++ )
+ {
+ imgpt[k] = Mat(imagePoints[k][i]);
+ undistortPoints(imgpt[k], imgpt[k], cameraMatrix[k], distCoeffs[k], Mat(), cameraMatrix[k]);
+ computeCorrespondEpilines(imgpt[k], k+1, F, lines[k]);
+ }
+ for( j = 0; j < npt; j++ )
+ {
+ double errij = fabs(imagePoints[0][i][j].x*lines[1][j][0] +
+ imagePoints[0][i][j].y*lines[1][j][1] + lines[1][j][2]) +
+ fabs(imagePoints[1][i][j].x*lines[0][j][0] +
+ imagePoints[1][i][j].y*lines[0][j][1] + lines[0][j][2]);
+ err += errij;
+ }
+ npoints += npt;
}
- printf( "avg err = %g\n", avgErr/(nframes*n) );
+ cout << "average reprojection err = " << err/npoints << endl;
// save intrinsic parameters
- CvFileStorage* fstorage = cvOpenFileStorage("intrinsics.yml", NULL, CV_STORAGE_WRITE);
- cvWrite(fstorage, "M1", &_M1);
- cvWrite(fstorage, "D1", &_D1);
- cvWrite(fstorage, "M2", &_M2);
- cvWrite(fstorage, "D2", &_D2);
- cvReleaseFileStorage(&fstorage);
+ FileStorage fs("intrinsics.yml", CV_STORAGE_WRITE);
+ if( fs.isOpened() )
+ {
+ fs << "M1" << cameraMatrix[0] << "D1" << distCoeffs[0] <<
+ "M2" << cameraMatrix[1] << "D2" << distCoeffs[1];
+ fs.release();
+ }
+ else
+ cout << "Error: can not save the intrinsic parameters\n";
-//COMPUTE AND DISPLAY RECTIFICATION
- if( showUndistorted )
+ Mat R1, R2, P1, P2, Q;
+ Rect roi1, roi2;
+
+ stereoRectify(cameraMatrix[0], distCoeffs[0],
+ cameraMatrix[1], distCoeffs[1],
+ imageSize, R, T, R1, R2, P1, P2, Q,
+ 1, imageSize, &roi1, &roi2);
+
+ fs.open("extrinsics.yml", CV_STORAGE_WRITE);
+ if( fs.isOpened() )
{
- CvMat* mx1 = cvCreateMat( imageSize.height,
- imageSize.width, CV_32F );
- CvMat* my1 = cvCreateMat( imageSize.height,
- imageSize.width, CV_32F );
- CvMat* mx2 = cvCreateMat( imageSize.height,
- imageSize.width, CV_32F );
- CvMat* my2 = cvCreateMat( imageSize.height,
- imageSize.width, CV_32F );
- CvMat* img1r = cvCreateMat( imageSize.height,
- imageSize.width, CV_8U );
- CvMat* img2r = cvCreateMat( imageSize.height,
- imageSize.width, CV_8U );
- CvMat* disp = cvCreateMat( imageSize.height,
- imageSize.width, CV_16S );
- double R1[3][3], R2[3][3], P1[3][4], P2[3][4];
- CvMat _R1 = cvMat(3, 3, CV_64F, R1);
- CvMat _R2 = cvMat(3, 3, CV_64F, R2);
+ fs << "R" << R << "T" << T << "R1" << R1 << "R2" << R2 << "P1" << P1 << "P2" << P2 << "Q" << Q;
+ fs.release();
+ }
+ else
+ cout << "Error: can not save the intrinsic parameters\n";
+
+ // OpenCV can handle left-right
+ // or up-down camera arrangements
+ bool isVerticalStereo = fabs(P2.at<double>(1, 3)) > fabs(P2.at<double>(0, 3));
+
+//COMPUTE AND DISPLAY RECTIFICATION
+ if( !showRectified )
+ return;
+
+ Mat rmap[2][2];
// IF BY CALIBRATED (BOUGUET'S METHOD)
- if( useUncalibrated == 0 )
- {
- CvMat _P1 = cvMat(3, 4, CV_64F, P1);
- CvMat _P2 = cvMat(3, 4, CV_64F, P2);
-
- cvStereoRectify( &_M1, &_M2, &_D1, &_D2, imageSize,
- &matR, &matT,
- &_R1, &_R2, &_P1, &_P2, &matQ,
- CV_CALIB_ZERO_DISPARITY,
- 1, imageSize, &roi1, &roi2);
-
- CvFileStorage* file = cvOpenFileStorage("extrinsics.yml", NULL, CV_STORAGE_WRITE);
- cvWrite(file, "R", &matR);
- cvWrite(file, "T", &matT);
- cvWrite(file, "R1", &_R1);
- cvWrite(file, "R2", &_R2);
- cvWrite(file, "P1", &_P1);
- cvWrite(file, "P2", &_P2);
- cvWrite(file, "Q", &matQ);
- cvReleaseFileStorage(&file);
-
- isVerticalStereo = fabs(P2[1][3]) > fabs(P2[0][3]);
- if(!isVerticalStereo)
- roi2.x += imageSize.width;
- else
- roi2.y += imageSize.height;
- //Precompute maps for cvRemap()
- cvInitUndistortRectifyMap(&_M1,&_D1,&_R1,&_P1,mx1,my1);
- cvInitUndistortRectifyMap(&_M2,&_D2,&_R2,&_P2,mx2,my2);
- }
+ if( !useCalibrated )
+ {
+ // we already computed everything
+ }
//OR ELSE HARTLEY'S METHOD
- else if( useUncalibrated == 1 || useUncalibrated == 2 )
- // use intrinsic parameters of each camera, but
- // compute the rectification transformation directly
- // from the fundamental matrix
+ else
+ // use intrinsic parameters of each camera, but
+ // compute the rectification transformation directly
+ // from the fundamental matrix
+ {
+ vector<Point2f> allimgpt[2];
+ for( k = 0; k < 2; k++ )
{
- double H1[3][3], H2[3][3], iM[3][3];
- CvMat _H1 = cvMat(3, 3, CV_64F, H1);
- CvMat _H2 = cvMat(3, 3, CV_64F, H2);
- CvMat _iM = cvMat(3, 3, CV_64F, iM);
- //Just to show you could have independently used F
- if( useUncalibrated == 2 )
- cvFindFundamentalMat( &_imagePoints1,
- &_imagePoints2, &matF);
- cvStereoRectifyUncalibrated( &_imagePoints1,
- &_imagePoints2, &matF,
- imageSize,
- &_H1, &_H2, 3);
- cvInvert(&_M1, &_iM);
- cvMatMul(&_H1, &_M1, &_R1);
- cvMatMul(&_iM, &_R1, &_R1);
- cvInvert(&_M2, &_iM);
- cvMatMul(&_H2, &_M2, &_R2);
- cvMatMul(&_iM, &_R2, &_R2);
- //Precompute map for cvRemap()
- cvInitUndistortRectifyMap(&_M1,&_D1,&_R1,&_M1,mx1,my1);
-
- cvInitUndistortRectifyMap(&_M2,&_D1,&_R2,&_M2,mx2,my2);
+ for( i = 0; i < nimages; i++ )
+ std::copy(imagePoints[k][i].begin(), imagePoints[k][i].end(), back_inserter(allimgpt[k]));
}
- else
- assert(0);
-
+ F = findFundamentalMat(Mat(allimgpt[0]), Mat(allimgpt[1]), FM_8POINT, 0, 0);
+ Mat H1, H2;
+ stereoRectifyUncalibrated(Mat(allimgpt[0]), Mat(allimgpt[1]), F, imageSize, H1, H2, 3);
- cvReleaseMat( &mx1 );
- cvReleaseMat( &my1 );
- cvReleaseMat( &mx2 );
- cvReleaseMat( &my2 );
- cvReleaseMat( &img1r );
- cvReleaseMat( &img2r );
- cvReleaseMat( &disp );
+ R1 = cameraMatrix[0].inv()*H1*cameraMatrix[0];
+ R2 = cameraMatrix[1].inv()*H2*cameraMatrix[1];
}
+
+ //Precompute maps for cv::remap()
+ initUndistortRectifyMap(cameraMatrix[0], distCoeffs[0], R1, P1, imageSize, CV_16SC2, rmap[0][0], rmap[0][1]);
+ initUndistortRectifyMap(cameraMatrix[1], distCoeffs[1], R2, P2, imageSize, CV_16SC2, rmap[1][0], rmap[1][1]);
+
+ /*for( i = 0; i < nimages; i++ )
+ {
+ Mat img =
+
+ }*/
+}
+
+
+static bool readStringList( const string& filename, vector<string>& l )
+{
+ l.resize(0);
+ FileStorage fs(filename, FileStorage::READ);
+ if( !fs.isOpened() )
+ return false;
+ FileNode n = fs.getFirstTopLevelNode();
+ if( n.type() != FileNode::SEQ )
+ return false;
+ FileNodeIterator it = n.begin(), it_end = n.end();
+ for( ; it != it_end; ++it )
+ l.push_back((string)*it);
+ return true;
+}
+
+
+int print_help()
+{
+ cout << "Usage:\n ./stereo_calib -w board_width -h board_height <image list XML/YML file>\n";
+ return 0;
}
+
int main(int argc, char** argv)
{
- if(argc > 1 && !strcmp(argv[1], "--help"))
+ Size boardSize;
+ string imagelistfn;
+
+ for( int i = 1; i < argc; i++ )
{
- printf("Usage:\n ./stereo_calib <path to images> <file wtih image list>\n");
- return 0;
- }
-
- StereoCalib(argc > 1 ? argv[1] : ".", argc > 2 ? argv[2] : "stereo_calib.txt", 0);
+ if( string(argv[i]) == "-w" )
+ sscanf(argv[++i], "%d", &boardSize.width);
+ else if( string(argv[i]) == "-h" )
+ sscanf(argv[++i], "%d", &boardSize.height);
+ else if( string(argv[i]) == "--help" )
+ return print_help();
+ else if( argv[i][0] == '-' )
+ {
+ cout << "invalid option " << argv[i] << endl;
+ return 0;
+ }
+ else
+ imagelistfn = argv[i];
+ }
+
+ if( imagelistfn == "" )
+ {
+ imagelistfn = "stereo_calib.xml";
+ boardSize = Size(9, 6);
+ }
+
+ vector<string> imagelist;
+ bool ok = readStringList(imagelistfn, imagelist);
+
+ if( !ok || imagelist.empty() || boardSize.width <= 0 || boardSize.height <= 0 )
+ return print_help();
+
+ StereoCalib(imagelist, boardSize);
return 0;
}
projects / platform / upstream / opencv.git / commitdiff