Hii, I'm new to opencv and python. I tried with a sample code to extract the features and I'm getting this error TypeError: drawKeypoints() missing required argument 'outImage' (pos 3) and my code goes like this

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

img = cv2.imread('1.png',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)

Any suggestions on how to extract the features of an image to compare with webcam image will be helpful. Thanks.

Hii, I'm new to opencv and python. I tried with a sample code to extract the features and I'm getting this error TypeError: drawKeypoints() missing required argument 'outImage' (pos 3) and my code goes like this

import numpy as np
import cv2
from matplotlib import pyplot as plt
plt
  
img = cv2.imread('1.png',0)cv2.imread('1.png',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)