OpenCV 3.2 NameError: global name 'FLANN_INDEX_LSH' is not defined
OpenCV 3.2 NameError: global name 'FLANN_INDEX_LSH' is not defined
我目前正在尝试用 FLANN 实现 ORB,我已经阅读了文档,它说在将 ORB 与 FLANN 一起使用时,我必须使用:
index_params= dict(algorithm = FLANN_INDEX_LSH,
table_number = 6, # 12
key_size = 12, # 20
multi_probe_level = 1) #2
还有我的代码
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
问题是当我 运行 程序时它说 FLANN_INDEX_LSH 没有定义。我不知道该怎么办,FLANN_INDEX_LSH OpenCV 3.2 有问题吗?
注意:当我将 SIFT/SURF 与 FLANN FLANN_INDEX_KDTREE 一起使用时效果很好
这不是越野车。 FLANN_INDEX_LSH
只是没有在 OpenCV 的 python API 中定义。你可以定义如下
FLANN_INDEX_LSH = 6
并继续您的代码。有关完整列表,请参阅 official docs
改成:
algorithm=6, # FLANN_INDEX_LSH
我目前正在尝试用 FLANN 实现 ORB,我已经阅读了文档,它说在将 ORB 与 FLANN 一起使用时,我必须使用:
index_params= dict(algorithm = FLANN_INDEX_LSH,
table_number = 6, # 12
key_size = 12, # 20
multi_probe_level = 1) #2
还有我的代码
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
问题是当我 运行 程序时它说 FLANN_INDEX_LSH 没有定义。我不知道该怎么办,FLANN_INDEX_LSH OpenCV 3.2 有问题吗?
注意:当我将 SIFT/SURF 与 FLANN FLANN_INDEX_KDTREE 一起使用时效果很好
这不是越野车。 FLANN_INDEX_LSH
只是没有在 OpenCV 的 python API 中定义。你可以定义如下
FLANN_INDEX_LSH = 6
并继续您的代码。有关完整列表,请参阅 official docs
改成:
algorithm=6, # FLANN_INDEX_LSH