Commit b09f591d authored by StevenPuttemans's avatar StevenPuttemans

fix py_matcher tutorial

parent 573858f1
...@@ -46,20 +46,20 @@ Here, we will see a simple example on how to match features between two images. ...@@ -46,20 +46,20 @@ Here, we will see a simple example on how to match features between two images.
a queryImage and a trainImage. We will try to find the queryImage in trainImage using feature 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) 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 We are using ORB descriptors to match features. So let's start with loading images, finding
descriptors etc. descriptors etc.
@code{.py} @code{.py}
import numpy as np import numpy as np
import cv2 import cv2
from matplotlib import pyplot as plt import matplotlib.pyplot as plt
img1 = cv2.imread('box.png',0) # queryImage img1 = cv2.imread('box.png',0) # queryImage
img2 = cv2.imread('box_in_scene.png',0) # trainImage img2 = cv2.imread('box_in_scene.png',0) # trainImage
# Initiate SIFT detector # Initiate SIFT detector
orb = cv2.ORB() orb = cv2.ORB_create()
# find the keypoints and descriptors with SIFT # find the keypoints and descriptors with ORB
kp1, des1 = orb.detectAndCompute(img1,None) kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None) kp2, des2 = orb.detectAndCompute(img2,None)
@endcode @endcode
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