double fsx2 = fsx1 + scale; double cellWidth = min(scale, ssize - fsx1); int sx1 = cvCeil(fsx1), sx2 = cvFloor(fsx2); sx2 = std::min(sx2, ssize - 1); sx1 = std::min(sx1, sx2); if( sx1 - fsx1 > 1e-3 ) { assert( k < ssize*2 ); tab[k].di = dx * cn; ta...
代码实现基于C++,如下: cv::MatmatSrc,matDst1,matDst2;matSrc=cv::imread("lena.jpg",2|4);matDst1=cv::Mat(cv::Size(800,1000),matSrc.type(),cv::Scalar::all(0));matDst2=cv::Mat(matDst1.size(),matSrc.type(),cv::Scalar::all(0));doublescale_x=(double)matSrc.cols/matDst1.cols...
size()); auto iou = [](const Box& a, const Box& b){ int cross_left = std::max(a.left, b.left); int cross_top = std::max(a.top, b.top); int cross_right = std::min(a.right, b.right); int cross_bottom = std::min(a.bottom, b.bottom); int cross_area = std::max...
cv::Mat matSrc,matDst1,matDst2;matSrc=cv::imread("lena.jpg",2|4);matDst1=cv::Mat(cv::Size(800,1000),matSrc.type(),cv::Scalar::all(0));matDst2=cv::Mat(matDst1.size(),matSrc.type(),cv::Scalar::all(0));double scale_x=(double)matSrc.cols/matDst1.cols;double scale_y=(...
//存放检测结果的vector35doubleminLineLength = std::min(dst.cols, dst.rows) *0.25;//最短线长度36doublemaxLineGap = std::min(dst.cols, dst.rows) *0.03;//最小线间距37intthreshold =90;38HoughLinesP(dst, lines,1, CV_PI /180, threshold, minLineLength, maxLineGap );3940//分析所需变量41...
(fy);fy-=sy;sy=std::min(sy,iHiehgtSrc-2);sy=std::max(0,sy);short cbufy[2];cbufy[0]=cv::saturate_cast<short>((1.f-fy)*2048);cbufy[1]=2048-cbufy[0];for(int i=0;i<matDst1.cols;++i){float fx=(float)((i+0.5)*scale_x-0.5);int sx=cvFloor(fx);fx-=sx;if(sx<...
float val = std::min(std::max(src.data[v*width_ + u] / max_val, 0.0f), 1.0f); // find bin int i; for (i = 0; i<7; i++) if (val<cumsum[i + 1]) break; // compute red/green/blue values float w = 1.0 - (val - cumsum[i])*weights[i]; ...
cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 1, 0), std::max((int)i.y - 30, 0)), cv::Point2f(std::min((int)i.x + max_width, mat_img.cols - 1), std::min((int)i.y, mat_img.rows - 1)), color, CV_FILLED, 8, 0); ...
std::cout<< "match size:" << d_matches.size() << endl; std::vector< DMatch >good_matches; for(intk=0;k< std::min(h_keypoints_object.size() - 1, d_matches.size()); k++) { if ((d_matches[k][0].distance < 0.9*(d_matches[k][1].distance)) && ...
criteria.maxCount=std::min(std::max(criteria.maxCount, 2), 100); else criteria.maxCount= 100; // 聚类数目为1类的时候 if(K== 1 ) { attempts= 1; criteria.maxCount= 2; } constfloat*sample=data.ptr<float>(0); for(j= 0;j<dims;j++ ) ...