我正在尝试执行与Homography相关的opencv教程，但它在python 2.7和opencv版本2.4.9.1上运行时显示了一些错误。代码在这里：
import numpy as np
import cv2
from matplotlib import pyplot as plt
MIN_MATCH_COUNT = 10
img1 = cv2.imread('box.png',0) # queryImage
img2 = cv2.imread('box_in_scene.png',0) # trainImage
# Initiate SIFT detector
sift = cv2.xfeatures2d.SIFT_create()
# find the keypoints and descriptors with SIFT
kp1, des1 = sift.detectAndCompute(img1,None)
kp2, des2 = sift.detectAndCompute(img2,None)
FLANN_INDEX_KDTREE = 1
index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
search_params = dict(checks = 50)
flann = cv2.FlannBasedMatcher(index_params, search_params)
matches = flann.knnMatch(des1,des2,k=2)
# store all the good matches as per Lowe's ratio test.
good = []
for m,n in matches:
if m.distance < 0.7*n.distance:
good.append(m)
if len(good)>MIN_MATCH_COUNT:
src_pts = np.float32([ kp1[m.queryIdx].pt for m in good
]).reshape(-1,1,2)
dst_pts = np.float32([ kp2[m.trainIdx].pt for m in good
]).reshape(-1,1,2)
M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC,5.0)
matchesMask = mask.ravel().tolist()
h,w,d = img1.shape
pts = np.float32([ [0,0],[0,h-1],[w-1,h-1],[w-1,0]
]).reshape(-1,1,2)
dst = cv2.perspectiveTransform(pts,M)
img2 = cv2.polylines(img2,[np.int32(dst)],True,255,3,
cv2.LINE_AA)
else:
print( "Not enough matches are found -
{}/{}".format(len(good), MIN_MATCH_COUNT) )
matchesMask = None
draw_params = dict(matchColor = (0,255,0), # draw matches in
green color
singlePointColor = None,
matchesMask = matchesMask, # draw only inliers
flags = 2)
img3 = cv2.drawMatches(img1,kp1,img2,kp2,good,None,**draw_params)
plt.imshow(img3, 'gray'),plt.show()
对于上面的代码，我收到以下错误。
Traceback (most recent call last):
File "/home/anv-pc/Desktop/Homography_TemplateMatching.py", line
8, in <module>
sift = cv2.xfeatures2d.SIFT_create()
AttributeError: 'module' object has no attribute 'xfeatures2d'\
如何解决这个问题？请帮忙。 提前谢谢。