vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

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Gitea Mirror Bot
2026-08-22 00:11:13 +08:00
commit 12022378a3
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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)