print(color_img.shape) cv.namedWindow('color_img',cv.WINDOW_NORMAL) cv.imshow("Flower",color_img) 1 2 3 4 5 #读取单通道灰度图 gray_img = cv.imread("C:/Users/Administrator/Desktop/New_Study/IMAGE/flower.jpg",cv.IMREAD_GRAYSCALE) print(gray_img.shape) cv.namedWindow('gray_img',cv....
ret, th1 = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) # 自适应阈值, ADAPTIVE_THRESH_MEAN_C:小区域内取均值 th2 = cv2.adaptiveThreshold( img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 4) # 自适应阈值, ADAPTIVE_THRESH_GAUSSIAN_C:小区域内加权求和,权重是个高斯核 th3...
importcv2vc = cv2.VideoCapture('C:\\Users\\Administrator\\Desktop\\Minions_banana.mp4')#创建vidoe对象buer,frame = vc.read()#buer是一个布尔值,读取视频成功为 1,frame为读入的一帧whilebuer:gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)#灰度读取cv2.imshow('stn',gray)buer,frame = vc.read()...
如果有物理电学基础的话，可以去学电子电路，然后走C语言的路子，搞单片机开发。如果有Linux与电气工程方...