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Feature Name Typo #313

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Feature Name Typo #313

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6 changes: 3 additions & 3 deletions source/py_tutorials/py_feature2d/py_matcher/py_matcher.rst
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Expand Up @@ -33,7 +33,7 @@ Brute-Force Matching with ORB Descriptors

Here, we will see a simple example on how to match features between two images. In this case, I have a queryImage and a trainImage. We will try to find the queryImage in trainImage using feature matching. ( The images are ``/samples/c/box.png`` and ``/samples/c/box_in_scene.png``)

We are using SIFT descriptors to match features. So let's start with loading images, finding descriptors etc.
We are using ORB descriptors to match features. So let's start with loading images, finding descriptors etc.
::

import numpy as np
Expand All @@ -43,10 +43,10 @@ We are using SIFT descriptors to match features. So let's start with loading ima
img1 = cv2.imread('box.png',0) # queryImage
img2 = cv2.imread('box_in_scene.png',0) # trainImage

# Initiate SIFT detector
# Initiate ORB detector
orb = cv2.ORB()

# find the keypoints and descriptors with SIFT
# find the keypoints and descriptors with ORB
kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None)

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