opencv 提取sift特征后，构建kdtree查找后，结果不一致

javaman0616

使用opencv 提取sift特征后，进行FlannBasedMatcher里的kdtree查找，结果不一致，是不是同一个进程里面，前后的kdtree有影响？
如果是这样，如何让每次结果都一致？
求大神帮助

谢谢

python 代码:

1. import cv2
   
2. def match(des_q, des_t):
   
3.     FLANN_INDEX_KDTREE = 1
   
4.     ratio = 0.7  
   
5.     index_params = dict(algorithm=FLANN_INDEX_KDTREE, trees=5)
   
6.     search_params = dict(checks=50)
   
7.     flann1 = cv2.FlannBasedMatcher(index_params, search_params)
   
8.     two_nn = flann1.knnMatch(des_q, des_t, k=2)
   
9.     matches = [(first.queryIdx, first.trainIdx) for first, second in two_nn
   
10.                    if first.distance < ratio * second.distance]
    
11.     print(matches)
    
12.     return matches
    
13. 
    
14. def img_sim(img1, img2):
    
15.     img1 = cv2.cvtColor(img1, cv2.IMREAD_GRAYSCALE)
    
16.     img2 = cv2.cvtColor(img2, cv2.IMREAD_GRAYSCALE)
    
17.     sift = cv2.xfeatures2d.SIFT_create()
    
18.     eps = 1e-7
    
19.     # find the keypoints and descriptors with SIFT
    
20.     kp1, des1 = sift.detectAndCompute(img1, None)
    
21.     des1 /= (des1.sum(axis=1, keepdims=True) + eps)
    
22.     des1 = np.sqrt(des1)
    
23.     kp2, des2 = sift.detectAndCompute(img2, None)
    
24.     des2 /= (des2.sum(axis=1, keepdims=True) + eps)
    
25.     des2 = np.sqrt(des2)
    
26.     #测试，输入同样的sift特征值(des1,des2)，返回的结果不一致
    
27.     matches1 = match(des1, des2)
    
28.     matches2 = match(des1, des2)
    
29. 
    
30. img1 = "" # 查询图片
    
31. img2 = "" # 索引图片
    
32. img1 = cv2.cvtColor(cv2.imread(img1), cv2.COLOR_BGR2RGB)
    
33. img2 = cv2.cvtColor(cv2.imread(img2), cv2.COLOR_BGR2RGB)
    
34. img_sim(img1, img2)

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