import cv2 # [1]導入OpenCv開源庫
import numpy as np
 
image_path = "F:\\11111111111111111111111111111\\100000.jpg"
srcImg = cv2.imread(image_path) # [2]將圖片加載到內(nèi)存
 
cv2.namedWindow("[srcImg]", cv2.WINDOW_AUTOSIZE) # [3]創(chuàng)建顯示窗口
cv2.imshow("[srcImg]", srcImg) # [4]在剛才創(chuàng)建的顯示窗口中顯示剛在加載的圖片
cv2.waitKey(0)
 
# ========================================================================================================
# 模塊說明:
#    由于OpenCv中,imread()函數(shù)讀進來的圖片,其本質(zhì)上就是一個三維的數(shù)組,這個NumPy中的三維數(shù)組是一致的,所以設(shè)置圖片的 
#  ROI區(qū)域的問題,就轉(zhuǎn)換成數(shù)組的切片問題,在Python中,數(shù)組就是一個列表序列,所以使用列表的切片就可以完成ROI區(qū)域的設(shè)置 
# ========================================================================================================
image_save_path_head = "F:\\11111111111111111111111111111\\111\\cat_ROI_"
image_save_path_tail = ".jpg"
seq = 1
for i in range(2): # [1]480*360==15*11---height
  for j in range(2): # [2]column-----------width
    img_roi = srcImg[(i * 112):((i + 1) * 112), (j * 112):((j + 1) * 112)]
    image_save_path = "%s%d%s" % (image_save_path_head, seq, image_save_path_tail)##將整數(shù)和字符串連接在一起
    cv2.imwrite(image_save_path, img_roi)
    seq = seq + 1