<filename>Game codes/exp4.py
import numpy as np
from PIL import ImageGrab
import cv2
import time
from directkeys import ReleaseKey, PressKey, W, A, S, D
import pyautogui


def draw_lines(img, lines):
    try:
        for line in lines:
            coords = line[0]
            cv2.line(img, (coords[0],coords[1]), (coords[2],coords[3]), [255,255,255], 3)
    except:
        pass


def roi(img, vertices):
    mask = np.zeros_like(img)
    cv2.fillPoly(mask, vertices, 255)
    masked = cv2.bitwise_and(img, mask)
    return masked


def process_img(original_image):
    processed_img = cv2.cvtColor(original_image, cv2.COLOR_BGR2GRAY)
    processed_img = cv2.Canny(processed_img, threshold1=200, threshold2=300)
    processed_img = cv2.GaussianBlur(processed_img, (3,3), 0 )
    vertices = np.array([[0,640],[10,320], [200,300], [400,300], [610,320], [610,640]], np.int32)
    processed_img = roi(processed_img, [vertices])

    #                       edges
    lines = cv2.HoughLinesP(processed_img, 1, np.pi/180, 180, 20, 15)
    draw_lines(processed_img,lines)
    return processed_img


def main():
    last_time = time.time()
    while(True):
        screen =  np.array(ImageGrab.grab(bbox=(0,0, 610, 640)))
        new_screen = process_img(screen)
        print('Loop took {} seconds'.format(time.time()-last_time))
        last_time = time.time()
        cv2.imshow('window', new_screen)
        #cv2.imshow('window2', cv2.cvtColor(screen, cv2.COLOR_BGR2RGB))
        if cv2.waitKey(25) & 0xFF == ord('q'):
            cv2.destroyAllWindows()
            break

main()

<filename>Game codes/exp4.py
import numpy as np
from PIL import ImageGrab
import cv2
import time
from directkeys import ReleaseKey, PressKey, W, A, S, D
import pyautogui


def draw_lines(img, lines):
    try:
        for line in lines:
            coords = line[0]
            cv2.line(img, (coords[0],coords[1]), (coords[2],coords[3]), [255,255,255], 3)
    except:
        pass


def roi(img, vertices):
    mask = np.zeros_like(img)
    cv2.fillPoly(mask, vertices, 255)
    masked = cv2.bitwise_and(img, mask)
    return masked


def process_img(original_image):
    processed_img = cv2.cvtColor(original_image, cv2.COLOR_BGR2GRAY)
    processed_img = cv2.Canny(processed_img, threshold1=200, threshold2=300)
    processed_img = cv2.GaussianBlur(processed_img, (3,3), 0 )
    vertices = np.array([[0,640],[10,320], [200,300], [400,300], [610,320], [610,640]], np.int32)
    processed_img = roi(processed_img, [vertices])

    #                       edges
    lines = cv2.HoughLinesP(processed_img, 1, np.pi/180, 180, 20, 15)
    draw_lines(processed_img,lines)
    return processed_img


def main():
    last_time = time.time()
    while(True):
        screen =  np.array(ImageGrab.grab(bbox=(0,0, 610, 640)))
        new_screen = process_img(screen)
        print('Loop took {} seconds'.format(time.time()-last_time))
        last_time = time.time()
        cv2.imshow('window', new_screen)
        #cv2.imshow('window2', cv2.cvtColor(screen, cv2.COLOR_BGR2RGB))
        if cv2.waitKey(25) & 0xFF == ord('q'):
            cv2.destroyAllWindows()
            break

main()

#                       edges #cv2.imshow('window2', cv2.cvtColor(screen, cv2.COLOR_BGR2RGB))