hough

import numpy as np
import cv2

img = cv2.imread("assets/frame5.jpg", 1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 75, 150)
lines = cv2.HoughLinesP(edges, 1, np.pi/180, 50, maxLineGap=10)
for line in lines:
    x1, y1, x2, y2 = line[0]
    cv2.line(img, (x1, y1), (x2, y2), (0, 0, 255), 3)
img = cv2.resize(img, (0, 0), fx=0.5, fy=0.5)
cv2.imwrite("assets/frame5_scanned.jpg", img)
# cv2.imshow("Edges", edges)
cv2.waitKey(0)
cv2.destroyAllWindows()

# cap = cv.VideoCapture('assets/IMG_3477.mp4')
#
# while cap.isOpened():
#     ret, frame = cap.read()
#     if ret == True:
#         cv.imshow('frame', frame)
#         if cv.waitKey(1) & 0xFF == ord('q'):
#             break
#
# cap.release()
# cv.destroyAllWindows()