import cv2
import numpy

# 加载图像并显示


if __name__ == '__main__':
    # Read image
    image = cv2.imread( "/Users/laichian/Desktop/Computer_Vision/homework-3-MattLai-master/PKLot/parking1b/sunny/2013-02-22/2013-02-22_06_05_00.jpg",0)

    # Select ROI
    #r = cv2.selectROI(image)

    # Crop image
    #imCrop = image[int(r[1]):int(r[1] + r[3]), int(r[0]):int(r[0] + r[2])]

    # Display cropped image
    #cv2.imshow("Image", imCrop)
    #cv2.waitKey(0)

#rect: (453,369), (543,386), (573,334), (446,304)
#rect: (278,90), (349,97), (364,65), (287,51)

#x="502" y="348" w="61" h="130"

    cv2.rectangle(image, (453, 369), (573, 334), 3) #12
    cv2.imshow("Canvas", image) #13
    cv2.waitKey(0)


#crop_img = image[369:334,453:573] # Crop from x, y, w, h -> 502, 348, 61, 130
# NOTE: its img[y: y + h, x: x + w] and *not* img[x: x + w, y: y + h]
#cv2.imshow("cropped", crop_img)
#cv2.waitKey(0)

#mouth = image[85:250, 85:220]
#看上去，numpy的数组切片只需要提供高度区间和宽度区间即可。事实上也确实是这样。
#上面的语句表示提取矩形区域（左上角坐标(85,85)，右下角坐标(220,250)）的图像。