函数格式:skimage.draw.polygon(Y,X) Y为多边形顶点的行集合,X为各顶点的列值集合。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from skimageimportdraw,dataimportmatplotlib.pyplotaspltimportnumpyasnp img=data.chelsea()Y=np.array([10,10,60,60])X=np.array([200,400,400,200])rr,cc=draw....
isClosed =True# Green color in BGRcolor = (0,255,0)# Line thickness of 8 pxthickness =8# Using cv2.polylines() method# Draw a Green polygon with# thickness of 1 pximage = cv2.polylines(image, [pts], isClosed, color, thickness)# Displaying the imagewhile(1): cv2.imshow('image',...
img = cv2.ellipse(img, (256, 100), (30, 30), 120, 0, 300, (0, 0, 255), -1, cv2.LINE_AA) # img = cv2.ellipse(img, (256, 100), (10, 10), 120, 0, 300, (255, 204, 0), -1, cv2.LINE_AA) img = cv2.circle(img, (256, 100), 10, (255, 204, 0), -1, cv2...
# Draw a blue ellipse img = cv2.ellipse(img, (256,256), (100,50),0,0,360,360, -1) # Draw polygon pts = np.array([[10,5], [20,30], [70,20], [50,10]], np.int32) pts = pts.reshape((-1,1,2)) img = cv2.polylines(img, [pts], True, (0,255,255)) # Add whi...
img = cv2.drawContour(img, contours, -1, (0,255,0), 3) 但是大多数时候,下面的方法更有用: img = cv2.drawContours(img, contours, 3, (0,255,0), 3) 注意:最后这两种方法结果是一样的,但是后边的知识会告诉你最后一种方法更有用。
radius = cv2.minEnclosingCircle(cnt) center, radius = (int(x), int(y)), int(radius) # for the minimum enclosing circle img = cv2.circle(img, center, radius, (0, 0, 255), 2) # red return img img = draw_approx_hull_polygon(image, contours) cv2.imshow("contours", img) cv2.wai...
关于怎么绘制实心矩形,因为openCV本身的cv2.rectangle只能绘制角度为0的矩形,没办法用,所以一开始打算遍历每个点判断是否在矩形内,来绘制 from shapely import geometry def ifPointsInside(polygon, Points): line = geometry.LineString(polygon) point = geometry.Point(Points) polygon = geometry. ...
img = cv2.drawContour(img, contours, -1, (0,255,0), 3) 1. 但是大多数时候,下面的方法更有用: img = cv2.drawContours(img, contours, 3, (0,255,0), 3) 1. 注意:最后这两种方法结果是一样的,但是后边的知识会告诉你最后一种方法更有用。
cv2.drawKeypoints(im, keypoints, np.array([]), (255,0,0), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) 例子如上,这是我写的另一篇blob分析的一句,具体请看那篇博客。在这句程序里im是原图,关键点keypoints,输出放在了一个新建数组里,这里用的蓝色标定,具体按个人爱好。flags挺有意思,这是标识方式...
cv2 # 创建空白图片 img = np.zeros((300,300,3), np.uint8) # 设置字体 font = cv2.FONT...