import numpy as np
from PIL import ImageGrab
import cv2
import time
from directkeys import ReleaseKey, PressKey, W, A, S, D
import pyautogui
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)
vertices = np.array([[10,500],[10,300], [300,200], [500,200], [800,300], [800,500]], np.int32)
processed_img = roi(processed_img, [vertices])
return processed_img
def main():
last_time = time.time()
while(True):
screen = np.array(ImageGrab.grab(bbox=(0,40, 800, 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()
Gta With Deep Learning 3