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文章目录一、鼠标画圆二、鼠标画线一、鼠标画圆import cv2# 编写回调函数def draw_circle(event,x,y,flags,param):# 鼠标左键按下去，实心圆 if event == cv2.EVENT_LBUTTONDOWN: cv2.circle(img,center=(x,y),radius=5, color=(255,0,0),thickness=-1)# 鼠标右键按下去，空心

使用滑块实现阈值类型与大小调整代码如下（示例）：import cv2Type = 0 #阈值处理类型值value = 0 #使用的阈值def onType(a): Type = cv2.getTrackbarPos(tType,windowName) Value = cv2.getTrackbarPos(tValue,windowName) ret,dst = cv2.threshold(img,Value,255,Type) cv2.imshow(windowN

一、创建追踪器方法对象import cv2import numpy as npOPENCV_OBJECT_TRACKERS = { "csrt": cv2.TrackerCSRT_create, "kcf":cv2.TrackerKCF_create, "boosting":cv2.TrackerBoosting_create, "mil":cv2.TrackerMIL_create, "tld":cv2.TrackerTLD_create, "medi

1、预处理、轮廓检测import cv2import numpy as np# 正确答案ANSWER_KEY = {0:1,1:4,2:0,3:3,4:1}def cv_show(name,img): cv2.imshow(name,img) cv2.waitKey() cv2.destroyAllWindows()# 读图img = cv2.imread("test_01.png")gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY

一、通过摄像头获取视频cap = cv2.VideoCapture(0)0 代表的摄像头编号import cv2cap = cv2.VideoCapture(0)while(cap.isOpened()): #获取一帧 ret,frame = cap.read() cv2.imshow('frame',frame) if cv2.waitKey(1) == ord("q"): breakcap.release() #释放摄像头的资源cv2.destroyAll