# ---
# jupyter:
#   jupytext:
#     text_representation:
#       extension: .py
#       format_name: light
#       format_version: '1.5'
#       jupytext_version: 1.14.4
#   kernelspec:
#     display_name: Python 3
#     language: python
#     name: python3
# ---

# +
import cv2
import numpy as np
 
img = cv2.imread("lines.png")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 75, 150)
 
lines = cv2.HoughLinesP(edges, 1, np.pi/180, 30, maxLineGap=250)
 
for line in lines:
    x1, y1, x2, y2 = line[0]
    cv2.line(img, (x1, y1), (x2, y2), (0, 255, 0), 3)
 
cv2.imshow("Edges", edges)
cv2.imshow("Image", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# -

lines

# +
import cv2
import numpy as np
 
video = cv2.VideoCapture("road_car_view.mp4")
 
while True:
    ret, orig_frame = video.read()
    if not ret:
        video = cv2.VideoCapture("road_car_view.mp4")
        continue
 
    frame = cv2.GaussianBlur(orig_frame, (5, 5), 0)
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    low_yellow = np.array([18, 94, 140])
    up_yellow = np.array([48, 255, 255])
    mask = cv2.inRange(hsv, low_yellow, up_yellow)
    edges = cv2.Canny(mask, 75, 150)
 
    lines = cv2.HoughLinesP(edges, 1, np.pi/180, 50, maxLineGap=50)
    if lines is not None:
        for line in lines:
            x1, y1, x2, y2 = line[0]
            cv2.line(frame, (x1, y1), (x2, y2), (0, 255, 0), 5)
 
    cv2.imshow("frame", frame)
    cv2.imshow("edges", edges)
 
    key = cv2.waitKey(25)
    if key == 27:
        break
video.release()
cv2.destroyAllWindows()
# -



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