In [1]:

    

import sys, os
import numpy as np
import cv2
cv2.startWindowThread()


    

    
Out[1]:





0

In [15]:

    

img = cv2.imread('j:/dev/opencv_graph/TemcaGraphPy/SampleImages/test1.tif',0)
img8 = np.uint8(img)
print img.shape, img.dtype


    

    




(3840L, 3840L) uint8

In [30]:

    

#surf
# Create SURF object. You can specify params here or later.
# Set Hessian Threshold to 400
surf = cv2.xfeatures2d.SURF_create()
surf.setUpright(True)
surf.setHessianThreshold(8000)
kp, des = surf.detectAndCompute(img8,None)
len(kp)


    

    
Out[30]:





199

In [32]:

    

print surf.descriptorSize()


    

    




64

In [31]:

    

img2 = cv2.drawKeypoints(img,kp,None,(255,0,0),4)
cv2.imshow('surf', img2)
cv2.waitKey(0)


    

    
Out[31]:





-1

In [20]:

    

#sift
sift = cv2.xfeatures2d.SIFT_create()
kp = sift.detect(img8,None)
len(kp)
#imgOut = img8
imgO2 = cv2.drawKeypoints(img8,kp, None, color=(0,255,0), flags=0)
cv2.imwrite('sift_keypoints.jpg',imgO2)

cv2.imshow('imgOut', imgO2)
cv2.waitKey(0)


    

    
Out[20]:





-1

In [32]:

    

cv2.imshow('8bpp', img)
cv2.waitKey(0)


    

    
Out[32]:





(3840L, 3840L)

In [37]:

    

cv2.imshow('imgOut', imgOut)
cv2.waitKey(0)


    

    
Out[37]:





dtype('uint8')

In [17]:

    

imgOut.shape


    

    
Out[17]:





(3840L, 3840L)

In [18]:

    

imgOut.dtype


    

    
Out[18]:





dtype('uint8')

In [ ]:

    

cv2.xfeatures2d.