Extract SIFT and visualize keypoints.

Sample is available at imagesift/sample/sift_keypoints.py

# load image
>>> from scipy.misc import lena
>>> img = lena()  # gray-scale image

>>> import imagesift

# extract sift keypoints
>>> frames, desc = imagesift.get_sift_keypoints(img)

# draw keypoints on the image
>>> out = imagesift.draw_sift_frames(img, frames)

# view image with opencv2 window
>>> import cv2
>>> cv2.imshow('sift image', out)
>>> cv2.waitKey(0)

You will get output like: