使用 OpenCV 裁剪图片

img=cv2.imread('test.png')
 
# 输出图像尺寸
print(img.shape) 

# 裁剪图片
cropped_image = img[80:280, 150:330]

# 展示原始图片
cv2.imshow("original", img)
# 展示裁剪后的图片
cv2.imshow("cropped", cropped_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

cropped = img[start_row:end_row, start_col:end_col]

img =  cv2.imread("test_cropped.jpg")
image_copy = img.copy() 
imgheight=img.shape[0]
imgwidth=img.shape[1]

M = 76
N = 104
x1 = 0
y1 = 0

# 开始循环
for y in range(0, imgheight, M):
    for x in range(0, imgwidth, N):
        if (imgheight - y) < M or (imgwidth - x) < N:
            break
             
        y1 = y + M
        x1 = x + N
 
        # 校验分块的高度或者宽度是否溢出
        if x1 >= imgwidth and y1 >= imgheight:
            x1 = imgwidth - 1
            y1 = imgheight - 1
            # 裁剪大小为 MxN 的分块
            tiles = image_copy[y:y+M, x:x+N]
            # 保存每一个分块
            cv2.imwrite('saved_patches/'+'tile'+str(x)+'_'+str(y)+'.jpg', tiles)
            cv2.rectangle(img, (x, y), (x1, y1), (0, 255, 0), 1)
        elif y1 >= imgheight: # 如果高度溢出
            y1 = imgheight - 1
            # 裁剪大小为 MxN 的分块
            tiles = image_copy[y:y+M, x:x+N]
            # 保存每一个分块
            cv2.imwrite('saved_patches/'+'tile'+str(x)+'_'+str(y)+'.jpg', tiles)
            cv2.rectangle(img, (x, y), (x1, y1), (0, 255, 0), 1)
        elif x1 >= imgwidth: # 如果宽度溢出
            x1 = imgwidth - 1
            # 裁剪大小为 MxN 的分块
            tiles = image_copy[y:y+M, x:x+N]
            # 保存每一个分块
            cv2.imwrite('saved_patches/'+'tile'+str(x)+'_'+str(y)+'.jpg', tiles)
            cv2.rectangle(img, (x, y), (x1, y1), (0, 255, 0), 1)
        else:
            # 裁剪大小为 MxN 的分块
            tiles = image_copy[y:y+M, x:x+N]
            # 保存每一个分块
            cv2.imwrite('saved_patches/'+'tile'+str(x)+'_'+str(y)+'.jpg', tiles)
            cv2.rectangle(img, (x, y), (x1, y1), (0, 255, 0), 1)
          
# 保存和展示完整图片
cv2.imshow("Patched Image",img)
cv2.imwrite("patched.jpg",img)
  
cv2.waitKey()
cv2.destroyAllWindows()