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#!/bin/env python3
import sys
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
from skimage.io import imread, imshow
from skimage.color import rgb2gray
from skimage.feature import match_template, peak_local_max
from skimage import transform
def detect():
#img = cv.imread(cv.samples.findFile(sys.argv[1]))
#if img is None:
# sys.exit("Could not read the image.")
#_,img = cv.threshold(img, 128, 255, cv.THRESH_BINARY)
image= cv.imread(sys.argv[1])
gray= cv.cvtColor(image, cv.COLOR_BGR2GRAY)
gray= np.float32(gray)
harris_corners= cv.cornerHarris(gray, 3, 3, 0.05)
kernel= np.ones((7,7), np.uint8)
harris_corners= cv.dilate(harris_corners, kernel, iterations= 2)
image[harris_corners > 0.025 * harris_corners.max()]= [255,127,127]
cv.imshow('Harris Corners', image)
cv.waitKey(0)
cv.destroyAllWindows()
if __name__ == "__main__":
detect()
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