hough transform is applied after canny edge detection, lines are detected
canny edge
#main.py
import numpy as np
import cv2
cap = cv2.VideoCapture("assets/Tokyo night drive.mp4")
while True:
ret, frame = cap.read()
width = int(cap.get(3))
height = int(cap.get(4))
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 254, 255, apertureSize=3)
lines = cv2.HoughLinesP(edges, 1, np.pi/180, 100, minLineLength=100, maxLineGap=10)
if not lines is None:
for line in lines:
x1, y1, x2, y2 = line[0]
cv2.line(frame, (x1, y1), (x2, y2), (0, 0, 255), 5)
cv2.imshow('frame', frame)
cv2.imshow('gray', gray)
cv2.imshow('canny edge', edges)
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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