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- # USAGE - How to run this code ?
- # python find_shapes.py --image shapes.png
- #python findredlinedpolygonfromgooglemaps.py --image stanford.png
- import numpy as np
- import argparse
- import cv2 as cv
- # construct the argument parse and parse the arguments
- ap = argparse.ArgumentParser()
- ap.add_argument("-i", "--image", help = "path to the image file")
- args = vars(ap.parse_args())
- # load the image
- image = cv.imread(args["image"])
- lower = np.array([20,0,155])
- upper = np.array([255,120,250])
- shapeMask = cv.inRange(image, lower, upper)
- # find the contours in the mask
- (cnts, _) = cv.findContours(shapeMask.copy(), cv.RETR_EXTERNAL,
- cv.CHAIN_APPROX_SIMPLE)
- cv.imshow("Mask", shapeMask)
- # loop over the contours
- for c in cnts:
- cv.drawContours(image, [c], -1, (0, 255, 0), 2)
- cv.imshow("Image", image)
- cv.waitKey(0)
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