OpenCV的3.2 NameError：全局名稱「FLANN_INDEX_LSH」沒有定義

目前我正在試圖實現與FLANN ORB，我已經閱讀文檔，它說，使用ORB與FLANN的時候我必須使用：OpenCV的3.2 NameError：全局名稱「FLANN_INDEX_LSH」沒有定義

index_params= dict(algorithm = FLANN_INDEX_LSH, 
        table_number = 6, # 12 
        key_size = 12,  # 20 
        multi_probe_level = 1) #2

而且我的代碼

def useFLANN(img1, img2, kp1, kp2, des1, des2, setDraw, type): 
# Fast Library for Approximate Nearest Neighbors 
MIN_MATCH_COUNT = 10 
FLANN_INDEX_KDTREE = 0 

if type == True: 
    # Detect with ORB 
    index_params= dict(algorithm = FLANN_INDEX_LSH, 
        table_number = 6, # 12 
        key_size = 12,  # 20 
        multi_probe_level = 1) #2 
else: 
    # Detect with Others such as SURF, SIFT 
    index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5) 

# It specifies the number of times the trees in the index should be recursively traversed. Higher values gives better precision, but also takes more time 
search_params = dict(checks = 60) 

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.LINE_AA) 

else: 
    print "Not enough matches are found - %d/%d" % (len(good),MIN_MATCH_COUNT) 
    matchesMask = None 

totalDistance = 0 
for g in good: 
    totalDistance += g.distance 

if setDraw == True: 
    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() 

return totalDistance

問題是，當我運行它說FLANN_INDEX_LSH沒有定義的程序。我不知道該怎麼做，在OpenCV 3.2中是否有FLANN_INDEX_LSH buggy？

注：當我使用SIFT/SURF與FLANN FLANN_INDEX_KDTREE工程完美

來源

2017-04-13 Hammer Grey

它不是越野車。 FLANN_INDEX_LSH只是在OpenCV的python API中沒有定義。您可以按如下

FLANN_INDEX_LSH = 6

定義，並繼續與您的代碼。綜合名單請參考official docs

來源

2017-04-13 11:22:48 kampta

OpenCV的3.2 NameError：全局名稱「FLANN_INDEX_LSH」沒有定義

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