Merge pull request opencv#8245 from oulenz:patch-1

vpisarev · vpisarev · commit da0188acc0f7 · 2017-03-10T14:30:09.000Z
diff --git a/doc/py_tutorials/py_calib3d/py_epipolar_geometry/py_epipolar_geometry.markdown b/doc/py_tutorials/py_calib3d/py_epipolar_geometry/py_epipolar_geometry.markdown
@@ -86,7 +86,7 @@ kp1, des1 = sift.detectAndCompute(img1,None)
 kp2, des2 = sift.detectAndCompute(img2,None)
 
 # FLANN parameters
-FLANN_INDEX_KDTREE = 0
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 search_params = dict(checks=50)
 
diff --git a/doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.markdown b/doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.markdown
@@ -50,7 +50,7 @@ sift = cv2.xfeatures2d.SIFT_create()
 kp1, des1 = sift.detectAndCompute(img1,None)
 kp2, des2 = sift.detectAndCompute(img2,None)
 
-FLANN_INDEX_KDTREE = 0
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 search_params = dict(checks = 50)
 
diff --git a/doc/py_tutorials/py_feature2d/py_matcher/py_matcher.markdown b/doc/py_tutorials/py_feature2d/py_matcher/py_matcher.markdown
@@ -148,11 +148,13 @@ its related parameters etc. First one is IndexParams. For various algorithms, th
 passed is explained in FLANN docs. As a summary, for algorithms like SIFT, SURF etc. you can pass
 following:
 @code{.py}
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 @endcode
 While using ORB, you can pass the following. The commented values are recommended as per the docs,
 but it didn't provide required results in some cases. Other values worked fine.:
 @code{.py}
+FLANN_INDEX_LSH = 6
 index_params= dict(algorithm = FLANN_INDEX_LSH,
                    table_number = 6, # 12
                    key_size = 12,     # 20
@@ -179,7 +181,7 @@ kp1, des1 = sift.detectAndCompute(img1,None)
 kp2, des2 = sift.detectAndCompute(img2,None)
 
 # FLANN parameters
-FLANN_INDEX_KDTREE = 0
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 search_params = dict(checks=50)   # or pass empty dictionary
 
