Fast_Algorithm.py

'''
  For using this Script you need to install OpenCV in your machine
'''
#Importing openCV library
import cv2 as cv

#Taking path of input from the user
path=input("Enter the path of image: ")
img=cv.imread(path)
img=cv.resize(img,(640,640))  #resizing the image

#Printing the original image
cv.imshow('Original',img)

# Initiate FAST object with default values
fast = cv.FastFeatureDetector_create()

# find and draw the keypoints
kp = fast.detect(img,None)
img2 = cv.drawKeypoints(img, kp, None, color=(255,0,0))

# Print all default parameters
print( "Threshold: {}".format(fast.getThreshold()) )
print( "nonmaxSuppression:{}".format(fast.getNonmaxSuppression()) )
print( "neighborhood: {}".format(fast.getType()) )
print( "Total Keypoints with nonmaxSuppression: {}".format(len(kp)) )

# Disable nonmaxSuppression
fast.setNonmaxSuppression(0)
kp = fast.detect(img,None)

print( "Total Keypoints without nonmaxSuppression: {}".format(len(kp)) )
final = cv.drawKeypoints(img, kp, None, color=(255,0,0))

#Naming the output image
image_name = path.split(r'/')
image = image_name[-1].split('.')
output  = r".\\"+ image[0] + "(_detected).jpg" 

#Saving the image
cv.imwrite(output,final) 

#Printing the final output image
cv.imshow('Final',final)
cv.waitKey(0)
cv.destroyAllWindows()