code

import matplotlib. pylab as plt
import  cv2
import numpy as np
import time

def region_of_interest(img, vertices):
    mask=np.zeros_like(img)
    #channel_count =img.shape[2]
    if len(img.shape) > 2:
        channel_count = img.shape[2]
        ignore_mask_color = (255,) * channel_count
    else:
        ignore_mask_color = 255

    cv2.fillPoly(mask, vertices, ignore_mask_color)
    masked_image=cv2.bitwise_and(img, mask)
    return masked_image

def drow_the_line(image, lines):
    image=np.copy(image)
    line_image= np.zeros((image.shape[0],image.shape[1],3),dtype=np.uint8)
    if lines is None:
        print()
    else:
        for line in lines:
            for x1, y1, x2, y2 in line:
                cv2.line(line_image,(x1,y1),(x2,y2),(255,115,200), thickness=15)

    image= cv2.addWeighted(image,0.8, line_image,1,0.0)
    return image


#image=cv2.imread('road.jpg')
#image=cv2.cvtColor(image,cv2.COLOR_BGR2RGB)
def process(image):
    a=True
    while (a):
        if image is None:
            a=False
            break


        else:

            print(image.shape)
            hight =image.shape[0]
            width =image.shape[1]

        #reagion of interset

        imshape=image.shape
        region_of_interest_vertices = np.array([[ (-300, imshape[0]),
                                             (450, 400),
                                            (950, 400),
                                            (1500, 875)]],
                                               dtype=np.int32)
        blur_image=cv2.GaussianBlur(image,(5,5),15)
        grar_image = cv2.cvtColor(blur_image,cv2.COLOR_RGB2GRAY)
        canny_image= cv2.Canny(grar_image, 100, 200)

        cropped_image = region_of_interest(canny_image,
                        np.array([region_of_interest_vertices],np.int32))

        lines=cv2.HoughLinesP(cropped_image,
                              rho=6,
                              theta=np.pi/180,
                              threshold=20,
                              minLineLength=150,
                              maxLineGap=50)
        image_with_lines= drow_the_line(image,lines)
        return image_with_lines
capvid=cv2.VideoCapture('test 1.mp4')
while(capvid.isOpened()):
    ret, frames =capvid.read()
    time.sleep(0.01)
    frames = process(frames)
    if frames is None:
        print("end")
        break
    else:
        cv2.imshow('frames', frames)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
capvid .release()
cv2.destroyAllWindows()


#image_with_line = drow_the_line(image, lines)
#plt.imshow(image_with_line)
#plt.show()