我写这个函数是为了比较视频帧的关键点。
def match_images(img1, img2):
"""Given two images, returns the matches"""
detector = cv2.SIFT(100)
matcher = cv2.BFMatcher(cv2.NORM_L2)
kp1, desc1 = detector.detectAndCompute(img1, None)
kp2, desc2 = detector.detectAndCompute(img2, None)
raw_matches = matcher.knnMatch(desc1, trainDescriptors = desc2, k = 2)
kp_pairs = filter_matches(kp1, kp2, raw_matches)
return kp_pairs
我得到了这个错误
Traceback (most recent call last):
File "test.py", line 173, in <module>
kp_pairs = match_images(img1, img2)
File "test.py", line 18, in match_images
detector = cv2.SIFT(100)
AttributeError: 'module' object has no attribute 'SIFT'
那么现在你已经安装了OpenCV 3和opencv_contrib包,你应该可以访问OpenCV 2.4的原始SIFT和SURF实现。X,只是这次它们将通过cv2在xfeatures2d子模块中。SIFT_create和cv2。SURF_create功能。
python3
>>> import cv2
>>> image = cv2.imread("test_image.jpg")
>>> gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
>>> sift = cv2.xfeatures2d.SIFT_create()
>>> ...