我使用的是 Ubuntu 12.04。我最近从 https://github.com/Itseez/opencv/archive/3.0.0-alpha.zip 安装了 OpenCV 3.0 .我想使用以下代码进行特征匹配:
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()
我收到以下错误:
Traceback (most recent call last):
File "feature_matching.py", line 11, in <module>
sift = cv2.SIFT()
AttributeError: 'module' object has no attribute 'SIFT'
为什么 SIFT 在 OpenCV 3.0 中不可用?如何将 SIFT 添加到 OpenCV 3.0?任何帮助,将不胜感激。谢谢。
附言。我尝试包含来自 https://github.com/Itseez/opencv_contrib 的模块
$ cd <opencv_build_directory>
$ cmake -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules <opencv_source_directory>
$ make -j5
$ make install
最佳答案
是的,您需要构建 opencv_extra 模块(尤其是 xfeatures2d)。
不要忘记在 cmake/make 步骤后运行
<make install
(您的新 python 模块必须复制到 python/lib/sitelibs)在 3.0 中是:
cv2.xfeatures2d.SIFT
(注意额外的命名空间)
关于OpenCV3.0 - 模块没有属性 SIFT,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/25735818/