python cv2 feature matching give different results

asked 2018-08-21 21:24:23 -0500

I am new to opencv,When I match SIFT feature using FLANN,I found same input descriptor give different match pairs in same process.

import cv2  
def match(des_q, des_t):
    ratio = 0.7  
    index_params = dict(algorithm=FLANN_INDEX_KDTREE,trees=5) 
    search_params = dict(checks=50)
    flann1 = cv2.FlannBasedMatcher(index_params,search_params)
    two_nn = flann1.knnMatch(des_q, des_t, k=2)
    matches = [(first.queryIdx, first.trainIdx) for first, second intwo_nn
                   if first.distance < ratio * second.distance]
def img_sim(img1, img2):
    img1 = cv2.cvtColor(img1, cv2.IMREAD_GRAYSCALE)
    img2 = cv2.cvtColor(img2, cv2.IMREAD_GRAYSCALE)
    sift = cv2.xfeatures2d.SIFT_create()
    eps = 1e-7
    # find the keypoints and descriptors with SIFT
    kp1, des1 = sift.detectAndCompute(img1, None)
    des1 /= (des1.sum(axis=1, keepdims=True) + eps)
    des1 = np.sqrt(des1)
    kp2, des2 = sift.detectAndCompute(img2, None)
    des2 /= (des2.sum(axis=1, keepdims=True) + eps)
    des2 = np.sqrt(des2)
    match(des1, des2)
    match(des1, des2)
img1 = "" # query image 
img2 = "" # index image
img1 = cv2.cvtColor(cv2.imread(img1),cv2.COLOR_BGR2RGB) 
img2 = cv2.cvtColor(cv2.imread(img2),cv2.COLOR_BGR2RGB)
img_sim(img1, img2)

I found the matches in line 11 is different although my input descriptor(des1,des2) is same,I guess the reason is kd-tree cache,but I can't solve it.Any one could help me?

I want the matches result is always same. My cv2 version is 3.4.0, Thanks in advance.

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