我想计算两张图片之间的差异。我只对图像某一部分的差值感兴趣。为此,我将所需的图像部分复制到临时图像,并对这些图像进行操作。但是,使用http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_core/py_basic_ops/py_basic_ops.html上指定的像素分配。这里给出了,
ball = img[280:340, 330:390]
img[273:333, 100:160] = ball
使用类似的逻辑,我编写了一个python程序,
import cv2
import numpy as np
img_file = 'carparking2_1.jpg'
img = cv2.imread(img_file, cv2.IMREAD_COLOR)
img_withoutcar = 'carparking2_1.jpg'
img_withcar = 'carparking2.jpg'
img1 = img_withoutcar[47:151, 106:157]
img2 = img_withcar[47:151, 106:157]
diff1 = cv2.absdiff(img1, img2)
diff2 = cv2.absdiff(img1, img1)
print 'RGB shape: ', img.shape # Rows, cols, channels
print 'Difference with car and without: ', diff1
print 'Difference with car and with car: ', diff2
但是,我得到输出消息:
File "D:/Projects/IoT Smart Parking/differenceinframes.py", line 8, in <module>
img1 = img_withoutcar[47:151, 106:157]
TypeError: string indices must be integers, not tuple
我在Windows 10上运行带有OpenCV 3.1.0的Python 2.7。
答案 0 :(得分:1)
您收到错误是因为您的命令正在尝试切割字符串&#39; carparking2_1.jpg&#39;好像是图像数据。
#First assign the file names:
file_name_without_car='carparking2_1.jpg'
file_name_with_car='carparking2.jpg'
#load the images
img_withoutcar= cv2.imread(file_name_without_car, cv2.IMREAD_COLOR)
img_withcar= cv2.imread(file_name_with_car, cv2.IMREAD_COLOR)
#now you can slice regions of the images
#note that color images have a third dimension for color channel.
img1 = img_withoutcar[47:151, 106:157,:]
img2 = img_withcar[47:151, 106:157,:]