Created
August 6, 2020 19:33
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| import cv2 | |
| import numpy as np | |
| cap = cv2.VideoCapture(0) | |
| while(True): | |
| ret, frame = cap.read() | |
| gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | |
| gray = cv2.medianBlur(gray, 5) | |
| # Extract regions/pixels of interest | |
| rows = gray.shape[0] | |
| # Find circles: | |
| circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, rows / 8, | |
| param1=100, param2=30, | |
| minRadius=1, maxRadius=30) | |
| # Found circles ? Draw on top of them | |
| if circles is not None: | |
| circles = np.uint16(np.around(circles)) | |
| for i in circles[0, :]: | |
| center = (i[0], i[1]) | |
| # circle center | |
| cv2.circle(frame, center, 1, (0, 100, 100), 3) | |
| # circle outline | |
| radius = i[2] | |
| cv2.circle(frame, center, radius, (255, 0, 255), 3) | |
| # Display orignal frame: | |
| cv2.imshow('frame', frame) | |
| if cv2.waitKey(1) & 0xFF == ord('q'): | |
| break | |
| cap.release() | |
| cv2.destroyAllWindows() |
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