Could any one provide a example python script to test FAST algorithm on corner detection?

When I run below example python script from opencv-python tutorial, I get a error "TypeError: Required argument 'outImage' (pos 3) not found"

import numpy as np import cv2 from matplotlib import pyplot as plt

img = cv2.imread('Penguins.jpg',0)

Initiate FAST object with default values

fast = cv2.FastFeatureDetector_create()

find and draw the keypoints

kp = fast.detect(img,None) img2 = cv2.drawKeypoints(img, kp, color=(255,0,0))

Print all default params

print "Threshold: ", fast.getInt('threshold') print "nonmaxSuppression: ", fast.getBool('nonmaxSuppression') print "neighborhood: ", fast.getInt('type') print "Total Keypoints with nonmaxSuppression: ", len(kp)

cv2.imwrite('fast_true.png',img2)

Disable nonmaxSuppression

fast.setBool('nonmaxSuppression',0) kp = fast.detect(img,None)

print "Total Keypoints without nonmaxSuppression: ", len(kp)

img3 = cv2.drawKeypoints(img, kp, color=(255,0,0))

cv2.imwrite('fast_false.png',img3)

Could any one provide a example python script to test FAST algorithm on corner detection?

When I run below example python script from opencv-python tutorial, I get a error "TypeError: Required argument 'outImage' (pos 3) not found"

import numpy as np
import cv2
from matplotlib import pyplot as plt
plt
  
img = cv2.imread('Penguins.jpg',0)cv2.imread('Penguins.jpg',0)
  
# Initiate FAST object with default values
 
values
fast = cv2.FastFeatureDetector_create()cv2.FastFeatureDetector_create()
  
# find and draw the keypoints
 
keypoints
kp = fast.detect(img,None)
img2 = cv2.drawKeypoints(img, kp, color=(255,0,0))color=(255,0,0))
  
# Print all default params
 
params
print "Threshold: ", fast.getInt('threshold')
print "nonmaxSuppression: ", fast.getBool('nonmaxSuppression')
print "neighborhood: ", fast.getInt('type')
print "Total Keypoints with nonmaxSuppression: ", len(kp)len(kp)
 cv2.imwrite('fast_true.png',img2)
 
cv2.imwrite('fast_true.png',img2)
 
# Disable nonmaxSuppression
 
nonmaxSuppression
fast.setBool('nonmaxSuppression',0)
kp = fast.detect(img,None)fast.detect(img,None)
  
print "Total Keypoints without nonmaxSuppression: ", len(kp)len(kp)
  
img3 = cv2.drawKeypoints(img, kp, color=(255,0,0))color=(255,0,0))
  
cv2.imwrite('fast_false.png',img3)cv2.imwrite('fast_false.png',img3)