houghcircle detection after blurring gray image
blur
#main.py
import numpy as np
import cv2
cap = cv2.VideoCapture("assets/plate.mp4")
while True:
ret, frame = cap.read()
width = int(cap.get(3))
height = int(cap.get(4))
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
blur = cv2.medianBlur(gray, 5)
circles = cv2.HoughCircles(blur, cv2.HOUGH_GRADIENT, 1, 50, param1=50,
param2=50, minRadius=10, maxRadius=100)
if not circles is None:
detected_circles = np.uint16(np.around(circles))
for (x, y, r) in detected_circles[0, :]:
cv2.circle(frame, (x, y), r, (0, 255, 0), 2)
cv2.imshow('frame', frame)
cv2.imshow('gray', gray)
cv2.imshow('blur', blur)
if cv2.waitKey(1) == ord('q'):
break
if cv2.waitKey(1) == ord('p'):
# wait until any key is pressed
cv2.waitKey(-1)
cap.release()
cv2.destroyAllWindows()
reference:
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