area.clear();for(inti=0;i<contours.size();++i){area.push_back(contourArea(contours[i]));}intmaxPosition=max_element(area.begin(),area.end())-area.begin();//求面积最大的轮廓所在位置vector<vector<Point>>convex(1);cont_s=contourArea(contours[maxPosition]);if(cont_s>=20000){convexHull...
举个OpenCV教学文档中使用createTrackbar的例子: 1interosion_elem =0;2interosion_size =0;3intconstmax_elem =2;4intconstmax_kernel_size =21;56createTrackbar("Element:\n 0: Rect \n 1: Cross \n 2: Ellipse","Erosion Demo",7&erosion_elem, max_elem,8Erosion );910createTrackbar("Kernel size:...
contours[i].end(),[](constPoint&lhs,constPoint&rhs){returnlhs.x<rhs.x;});Point extRight=*max_element(contours[i].begin(),contours[i].end(),[](constPoint&lhs,constPoint&rhs
createTrackbar("Element:", "腐蚀", &erosion_elem, max_elem, Erosion); createTrackbar("kernel:","腐蚀", &erosion_size, max_kernel_size, Erosion); // 一定要注意参数 namedWindow("膨胀", WINDOW_AUTOSIZE); createTrackbar("Element:", "膨胀", &dilation_elem, max_elem, Dilate); createTrackbar(...
data; int num_classes = cols - 5; for(int i = 0; i < rows; ++i) { float* pitem = predict + i * cols; float objness = pitem[4]; if (objness < confidence_threshold_) { continue; } float* pclass = pitem + 5; int label = std::max_element(pclass, pclass + num_...
// 输出结果for(int i=0;i<detectionMat.rows;i++){constint probability_index=5;constint probability_size=detectionMat.cols-probability_index;float*prob_array_ptr=&detectionMat.at<float>(i,probability_index);size_t objectClass=max_element(prob_array_ptr,prob_array_ptr+probability_size)-prob_arr...
left=*min_element(contours[0].begin(),contours[0].end(),[](constPoint&lhs,constPoint&rhs){returnlhs.x<rhs.x;});Point right=*max_element(contours[0].begin(),contours[0].end(),[](constPoint&lhs,constPoint&rhs){returnlhs.x<rhs.x;});Point top=*min_element(contours[0].begin(),...
(area < min || area > max) || (r< rmin || r > rmax) ) return false; else return true; } void posDetect(Mat &inputImage , vector <RotatedRect> & rects ) //初步找到候选区域 rects { Mat img_sobel; Sobel(inputImage , img_sobel , CV_8U, 1,0,3,1,0); Mat img_...
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(imgray,mask = mask) 21.3.9 极点 一个对象最上面,最下面,最左边,最右边的点。 leftmost = tuple(cnt[cnt[:,:,0].argmin()][0]) rightmost = tuple(cnt[cnt[:,:,0].argmax()][0]) ...
(descriptors1,descriptors2,matches);//限制特征点匹配数量=》只匹配前20个较好的特征点int num = 20;nth_element(matches.begin(), matches.begin()+num,matches.end());//vector去除20以后的元素matches.erase(matches.begin()+num,matches.end());double Max_distance = matches[1].distance;double Min_...