Skip to content

Instantly share code, notes, and snippets.

@saurabhpal97
Created March 23, 2019 09:54
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save saurabhpal97/6da46cdd99ea5c080ec9ec18cae4304a to your computer and use it in GitHub Desktop.
Save saurabhpal97/6da46cdd99ea5c080ec9ec18cae4304a to your computer and use it in GitHub Desktop.
#import required libraries
import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
#show OpenCV version
print(cv2.__version__)
#read the iamge and convert to grayscale
image = cv2.imread('index.png')
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
#create sift object
sift = cv2.xfeatures2d.SIFT_create()
#calculate keypoints and their orientation
keypoints,descriptors = sift.detectAndCompute(gray,None)
#plot keypoints on the image
with_keypoints = cv2.drawKeypoints(gray,keypoints)
#plot the image
plt.imshow(with_keypoints)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment