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.
def match(des_q, des_t):
FLANN_INDEX_KDTREE = 1
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 in two_nn
if first.distance < ratio * second.distance]
print(matches)
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 = cv2.cvtColor(cv2.imread(img1), cv2.COLOR_BGR2RGB)
img2 = cv2.cvtColor(cv2.imread(img2), cv2.COLOR_BGR2RGB)
img_sim(img1, img2)