函数cv2.detectAndCompute和cv2.compute上的opencv 3 python特征检测错误

R.j*_*deh 7 python opencv

我使用opencv 3.0.0和python 2.7.5_x32

这是我的代码(ORB_feature_detection):

import numpy as np
import cv2
from matplotlib import pyplot as plt

img1 = cv2.imread('C:\\Python27\\madar1.jpg',0)          # queryImage
img2 = cv2.imread('C:\\Python27\\madar2.jpg',0) # trainImage

# Initiate SIFT detector
orb = cv2.ORB_create()

# line 12
# 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()

cv2.waitKey()
cv2.destroyAllWindows()
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这是错误信息,错误信息在kp1,des1 = orb.detectAndCompute(img1,None)部分,我在opencv 2.4.11上工作,它在opencv 3.0.0上不起作用!

    Traceback (most recent call last):
  File "C:\Python27\orb_matcher.py", line 12, in <module>
   kp1, des1 = orb.detectAndCompute(img1,None)
error: ..\..\..\modules\python\src2\cv2.cpp:163: error: (-215) The data should normally be NULL! in function NumpyAllocator::allocate
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请帮助我,我该怎么做才能做到这一点?

Ami*_*tku 5

您可以尝试在导入cv2之后添加此脚本,而其他人cv2.ocl.setUseOpenCL(False)则解决了我的问题.

  • 因为"python绑定和OpenCL之间存在一些有问题的交互",请参阅此处:https://github.com/opencv/opencv/issues/6081 (2认同)