OpenCV3.0 - module has no attribute SIFT
yes, you need to build the opencv_extra modules (esp. xfeatures2d).
don't forget to run
make install
after the cmake/make step (your new python module has to get copied over to python/lib/sitelibs)in 3.0 it's :
cv2.xfeatures2d.SIFT
(note the additional namespace)
Clive
I'm currently doing my Masters in Telecommunications Engineering at UNSW, Sydney. I completed my bachelors in Electronics and Commmunications Engineering at Toc-H Institute of Science and Technology.
Updated on February 20, 2021Comments
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Clive about 3 years
I am using Ubuntu 12.04. I recently installed OpenCV 3.0 from https://github.com/Itseez/opencv/archive/3.0.0-alpha.zip. I want to do feature matching for which I used the following code:
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.SIFT() # find the keypoints and descriptors with SIFT kp1, des1 = sift.detectAndCompute(img1,None) kp2, des2 = sift.detectAndCompute(img2,None) FLANN_INDEX_KDTREE = 0 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 = 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.CV_AA) else: print "Not enough matches are found - %d/%d" % (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()
I get the following error:
Traceback (most recent call last): File "feature_matching.py", line 11, in <module> sift = cv2.SIFT() AttributeError: 'module' object has no attribute 'SIFT'
Why is SIFT not available in OpenCV 3.0? How do I add SIFT to OpenCV 3.0? Any help would be appreciated. Thankyou.
PS. I tried including modules from https://github.com/Itseez/opencv_contrib
$ cd <opencv_build_directory> $ cmake -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules <opencv_source_directory> $ make -j5 $ make install