import cv2
# import matplotlib.pyplot as plt
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
# cv2.imshow("The original figure", frame)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray2 = 255 - gray
cv2.imshow("The color chart", gray2)
cv2.resizeWindow("The color chart", 500, 500);
ret, binary = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
cv2.imshow("Binary figure", binary)
cv2.resizeWindow("Binary figure", 500, 500);
img_median = cv2.medianBlur(binary, 3)
img_Guassian = cv2.GaussianBlur(img_median, (5, 5), 0)
img_mean = cv2.blur(img_Guassian, (5, 5))
img_bilater = cv2.bilateralFilter(img_mean, 9, 75, 75)
contours, hierarchy = cv2.findContours(img_bilater, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(frame, contours, -1, (0, 0, 255), 6)
cv2.imshow("Outline of the figure", frame)
cv2.resizeWindow("Outline of the figure", 500,500);
boardkey = cv2.waitKey(1) & 0xFF
if boardkey == 27:
break
cap.release()
cv2.destroyAllWindows()
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