import cv2 import numpy as np if __name__ == "__main__": img_path = "lu.jpeg" img = cv2.imread(img_path) #获取图片的宽和高 width,height = img.shape[:2][::-1] #将图片缩小便于显示观看 img_resize = cv2.resize(img, (int(width*0.5),int(height*0.5)),interpolation=cv2.INTER_CUBIC) # cv2.imshow("img",img_resize) print("img_reisze shape:{}".format(np.shape(img_resize))) #读取灰度图 img_gray = cv2.imread(img_path,cv2.IMREAD_GRAYSCALE) cv2.imwrite('hd.jpeg', img_gray) #将图片缩小便于显示观看 # img_gray = cv2.resize(img_gray, # (int(width*0.5),int(height*0.5)),interpolation=cv2.INTER_CUBIC) cv2.imshow("img_gray",img_gray) print("img_gray shape:{}".format(np.shape(img_gray))) cv2.waitKey()