import cv2 as cv import numpy as np def draw_circle(): img = np.zeros((100,500,3),np.uint8) img[:] = 255 # 绘制默认1px边框的圆 cv.circle(img,(50,50),25,(255,0,0)) # 绘制填充圆 thickness cv.circle(img,(150,50),25,(255,0,0),-
img=cv.imread("./image/meixi.jpg")# 设置窗口不可改变大小(参数包含:WINDOW_AUTOSIZE、WINDOW_NORMAL、WINDOW_OPENGL) cv.namedWindow("original image",cv.WINDOW_AUTOSIZE)cv.imshow("original image",img)# 检测圆 circles=detect_circle(img)#绘制圆draw_circle(img,circles)cv.waitKey(0)cv.destroyAllWi...
# 绘制一个红色的圆形,位置为(447, 63),半径为63cv.circle(img, (447, 63), 63, (0, 0, 255), -1) # 绘制一个绿色的椭圆,中心位置为(256, 256),长轴长度为100,短轴长度为50 #cv.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1) cv.ellipse(img, (256, 256), (100,...
cv2.circle(img, center, radius, color[, thickness[, lineType[, shift]]]) center:圆心位置 radius:半径 应用 在上面绘制的矩形内绘制一个圆。 代码: import numpy as np import cv2 # Create a black image img = np.zeros((512,512,3), np.uint8) cv2.rectangle(img,(384,0),(510,128),(0...
cv.namedWindow('image') cv.setMouseCallback('image', draw_circle) while (1): cv.imshow('image', img) if cv.waitKey(20) & 0xFF == 27: break cv.destroyAllWindows() 这里面我们调用的参数是EVENT_LBUTTONDBLCLK,意思就是鼠标双击触发。我们双击任意一个区域,都会以此为圆心创建一个圆形出来: ...
if flags ==cv.EVENT_FLAG_SHIFTKEY: # 触发标志为SHIFT键按下时 2.3代码演示 用鼠标的回调函数在我们双击的地方绘制一个圆圈: import numpy as np import cv2 as cv # 鼠标回调函数 def draw_circle(event,x,y,flags,param): if event == cv.EVENT_LBUTTONDBLCLK: ...
There is a method called circle() to draw a circle using the OpenCV library. This method takes various arguments (a total of 5 arguments). The syntax for the circle() method is given below. Syntax: cv.circle(image, circle_coordinates, radius, colour, thickness) The following table descri...
，MASK在图形处理中大量存在。方便实用。比如生成一个黑底的内含一个白圈，可以和目标与运算，形成丰富变化！注意事项 cv.circle(black, (200, 200), 50, (0, 0, 255), -1) 最后一个参数-1 为填充，否则为线宽 椭圆参数 有圆心(x, y) 长轴短轴 (a, b) 起始角 终止角 线宽 组成 ...
cv2.setMouseCallback('Drawer',drawer.draw_circle)while1:cv2.imshow('Drawer',img)ifcv2.waitKey(1)&0xFF==27:breakcv2.destroyAllWindows() # -*- coding:utf-8 -*- #黑cyc宇 importCV2 import sys import numpy as np class Drawer():
Python:cv.Flip(src, dst=None, flipMode=0)→ None¶ Parameters: src– input array. dst– output array of the same size and type assrc. flipCode– a flag to specify how to flip the array; 0 means flipping around the x-axis and positive value (for example, 1) means flipping around...