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()

opencv 转换图像为灰度_获取图片

opencv 转换图像为灰度_获取图片_02