DEFAULT=0,//创建输出图形矩阵;使用现存的输出图像绘制匹配对和特征点;对每个关键点,只绘制中间点 DRAW_OVER_OUTIMG=1,//不创建输出图像矩阵,而是在输出图像上绘制匹配对 NOT_DRAW_SINGLE_POINTS=2,//单点特征点不被绘制 DRAW_RICH_KEYPOINTS=4//所有关键点,绘制带大小和方向的关键点圆圈 } }; 1. 2. 3...
1/**2* 绘制十字3* @param[in] img 目标图像4* @param[in] point 十字中心点5* @param[in] color 颜色6* @param[in] size 十字尺寸7* @param[in] thickness 粗细8*/9voiddrawCross(cv::Mat img, cv::Point2d point, cv::Scalar color,intsize,intthickness)10{11//绘制横线12cv::line(img,c...
img = Scalar::all(0); drawCross( statePt, Scalar(255,255,255), 3 ); drawCross( measPt, Scalar(0,0,255), 3 ); drawCross( predictPt, Scalar(0,255,0), 3 ); line( img, statePt, measPt, Scalar(0,0,255), 3, CV_AA, 0 ); line( img, statePt, predictPt, Scalar(0,255,...
img = Scalar::all(0); drawCross( statePt, Scalar(255,255,255), 3 ); drawCross( measPt, Scalar(0,0,255), 3 ); drawCross( predictPt, Scalar(0,255,0), 3 ); //line( img, statePt, measPt, Scalar(0,0,255), 3, CV_AA, 0 ); //line( img, statePt, predictPt, Scalar(0...
import cv2 #图像读取 src = cv2.imread("src.jpg") #绘制标记 draw_marker = cv2.drawMarker(src, (256, 256), (255, 0, 0), cv2.MARKER_CROSS, thickness=3) draw_marker = cv2.drawMarker(draw_marker, (50, 50), (0, 255, 0), cv2.MARKER_STAR, thickness=3) draw_marker = cv2.drawMark...
读入彩色图像画角点ml.drawCorners(img,corners);imshow("corners",corners);imshow("cornersImage",img);waitKey(0);return0;}
= cv.BFMatcher(cv.NORM_HAMMING, crossCheck=True) # 匹配描述符.matches = bf.match(des1,des2) # 根据距离排序matches = sorted(matches, key = lambda x:x.distance) # 绘制前10的匹配项img3 = cv.drawMatches(img1,kp1,img2,kp2,matches[:10],None,flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_...
(Image) dev_set_draw ('margin') dev_set_line_width (3) dev_display (RegionIntersection) dev_set_color ('red') dev_set_line_width (2) area_center (RegionIntersection, Area, Row, Column) gen_cross_contour_xld (Cross, Row, Column, 15, 0.785398) count_obj (RegionIntersection, Number)...
如果可以使用 opengl,优先使用 opengl 进行绘制(目前默认没有使用 opengl)。如果不支持 opengl,opencv 还提供了 gtk,qt,w32,winrt 等绘图 api。cv 这个命名空间中的几个 cvUpdateWindow, setOpenGlDrawCallback 函数等为空实现。如果配置中选择了相应的库,则加入编译。这样就做到了动态地配置绘图实现方式。
img=cv.drawKeypoints(gray,kp,img,flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) cv.imshow('Original',ori) cv.imshow('SIFT',image) ifcv.waitKey(0) &0xff==27: cv.destroyAllWindows() 输出如下所示。 你可以看到图像中有一些线条和圆圈。...