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Commit dc12e6a

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Merge pull request avinashkranjan#891 from ShubhamGupta577/Fast-Algorithm
Fast algorithm
2 parents b7662b9 + 7f479f5 commit dc12e6a

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'''
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For using this Script you need to install OpenCV in your machine
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'''
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#Importing openCV library
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import cv2 as cv
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#Taking path of input from the user
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path=input("Enter the path of image: ")
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img=cv.imread(path)
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img=cv.resize(img,(640,640)) #resizing the image
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#Printing the original image
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cv.imshow('Original',img)
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# Initiate FAST object with default values
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fast = cv.FastFeatureDetector_create()
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# find and draw the keypoints
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kp = fast.detect(img,None)
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img2 = cv.drawKeypoints(img, kp, None, color=(255,0,0))
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# Print all default parameters
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print( "Threshold: {}".format(fast.getThreshold()) )
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print( "nonmaxSuppression:{}".format(fast.getNonmaxSuppression()) )
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print( "neighborhood: {}".format(fast.getType()) )
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print( "Total Keypoints with nonmaxSuppression: {}".format(len(kp)) )
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# Disable nonmaxSuppression
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fast.setNonmaxSuppression(0)
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kp = fast.detect(img,None)
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print( "Total Keypoints without nonmaxSuppression: {}".format(len(kp)) )
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final = cv.drawKeypoints(img, kp, None, color=(255,0,0))
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#Naming the output image
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image_name = path.split(r'/')
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image = image_name[-1].split('.')
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output = r".\\"+ image[0] + "(_detected).jpg"
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#Saving the image
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cv.imwrite(output,final)
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#Printing the final output image
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cv.imshow('Final',final)
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cv.waitKey(0)
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cv.destroyAllWindows()
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# Fast Algorithm
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- In this script, we implement the `Fast (Features from Accelerated Segment Test)` algorithm of `OpenCV` to detect the corners from any image.
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## Setup instructions
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- For using this script, you have to install `Open CV` in your machine and after that you easily run the **Fast_Algorithm.py** file
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## Output
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<img src="./input.jpg" width=500/> <img src="./Output.png" width=500/>
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## Author
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[Shubham Gupta](https://github.com/ShubhamGupta577)
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