当我运行我的python代码时
import numpy as np
import cv2
import matplotlib.pyplot as plt
img1 = cv2.imread('/home/shar/home.jpg',0) # queryImage
img2 = cv2.imread('/home/shar/home2.jpg',0) # trainImage
# Initiate SIFT detector
orb = cv2.ORB()
# find the keypoints and descriptors with SIFT
kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None)
# create BFMatcher object
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
# Match descriptors.
matches = bf.match(des1,des2)
# Sort them in the order of their distance.
matches = sorted(matches, key = lambda x:x.distance)
# Draw first 10 matches.
img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10], flags=2)
plt.imshow(img3),plt.show()
我收到此错误:
AttributeError: 'module' object has no attribute 'ORB'
我正在使用python3和opencv3
答案 0 :(得分:50)
我也发现了这一点。我查看了cv2
模块的实际内容,找到了ORB_create()
而不是ORB()
使用
行orb = cv2.ORB_create()
而不是orb = cv2.ORB()
,它会起作用。
在Windows上验证Python 3.4,OpenCV 3,使用OpenCV测试数据集box.png
和box_in_scene.png
,结果如下。 注意 您还必须在None
中outImg
添加img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10], flags=2)
- 另请参阅my answer给您的其他人问题