Fixed issue with Epipolar Geometry Tutorial

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
index 3ed072c..6b8d908 100644 (file)
--- 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
@@ -79,7 +79,7 @@ from matplotlib import pyplot as plt
 img1 = cv.imread('myleft.jpg',0)  #queryimage # left image
 img2 = cv.imread('myright.jpg',0) #trainimage # right image
 
-sift = cv.SIFT()
+sift = cv.SIFT_create()
 
 # find the keypoints and descriptors with SIFT
 kp1, des1 = sift.detectAndCompute(img1,None)
@@ -93,14 +93,12 @@ search_params = dict(checks=50)
 flann = cv.FlannBasedMatcher(index_params,search_params)
 matches = flann.knnMatch(des1,des2,k=2)
 
-good = []
 pts1 = []
 pts2 = []
 
 # ratio test as per Lowe's paper
 for i,(m,n) in enumerate(matches):
     if m.distance < 0.8*n.distance:
-        good.append(m)
         pts2.append(kp2[m.trainIdx].pt)
         pts1.append(kp1[m.queryIdx].pt)
 @endcode