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self_driving_with_lanes.py
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import numpy as np
from PIL import ImageGrab
import cv2
import time
#import pyautogui
from numpy import ones,vstack
from numpy.linalg import lstsq
#from directkeys import PressKey,ReleaseKey, W, A, S, D
from statistics import mean
import ctypes
import time
SendInput = ctypes.windll.user32.SendInput
W = 0x11
A = 0x1E
S = 0x1F
D = 0x20
# C struct redefinitions
PUL = ctypes.POINTER(ctypes.c_ulong)
class KeyBdInput(ctypes.Structure):
_fields_ = [("wVk", ctypes.c_ushort),
("wScan", ctypes.c_ushort),
("dwFlags", ctypes.c_ulong),
("time", ctypes.c_ulong),
("dwExtraInfo", PUL)]
class HardwareInput(ctypes.Structure):
_fields_ = [("uMsg", ctypes.c_ulong),
("wParamL", ctypes.c_short),
("wParamH", ctypes.c_ushort)]
class MouseInput(ctypes.Structure):
_fields_ = [("dx", ctypes.c_long),
("dy", ctypes.c_long),
("mouseData", ctypes.c_ulong),
("dwFlags", ctypes.c_ulong),
("time",ctypes.c_ulong),
("dwExtraInfo", PUL)]
class Input_I(ctypes.Union):
_fields_ = [("ki", KeyBdInput),
("mi", MouseInput),
("hi", HardwareInput)]
class Input(ctypes.Structure):
_fields_ = [("type", ctypes.c_ulong),
("ii", Input_I)]
# Actuals Functions
def PressKey(hexKeyCode):
extra = ctypes.c_ulong(0)
ii_ = Input_I()
ii_.ki = KeyBdInput( 0, hexKeyCode, 0x0008, 0, ctypes.pointer(extra) )
x = Input( ctypes.c_ulong(1), ii_ )
ctypes.windll.user32.SendInput(1, ctypes.pointer(x), ctypes.sizeof(x))
def ReleaseKey(hexKeyCode):
extra = ctypes.c_ulong(0)
ii_ = Input_I()
ii_.ki = KeyBdInput( 0, hexKeyCode, 0x0008 | 0x0002, 0, ctypes.pointer(extra) )
x = Input( ctypes.c_ulong(1), ii_ )
ctypes.windll.user32.SendInput(1, ctypes.pointer(x), ctypes.sizeof(x))
if __name__ == '__main__':
PressKey(0x11)
time.sleep(1)
ReleaseKey(0x11)
time.sleep(1)
PressKey(0x1E)
time.sleep(1)
ReleaseKey(0x1E)
time.sleep(1)
PressKey(0x1F)
time.sleep(1)
ReleaseKey(0x1F)
time.sleep(1)
PressKey(0x20)
time.sleep(1)
ReleaseKey(0x20)
time.sleep(1)
def roi(img, vertices):
#blank mask:
mask = np.zeros_like(img)
#filling pixels inside the polygon defined by "vertices" with the fill color
cv2.fillPoly(mask, vertices, 255)
#returning the image only where mask pixels are nonzero
masked = cv2.bitwise_and(img, mask)
return masked
def process_img(image):
original_image = image
# edge detection
processed_img = cv2.Canny(image, threshold1 = 200, threshold2=300)
processed_img = cv2.GaussianBlur(processed_img,(5,5),0)
vertices = np.array([[10,500],[10,300],[300,200],[500,200],[800,300],[800,500],
], np.int32)
processed_img = roi(processed_img, [vertices])
# more info: http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_imgproc/py_houghlines/py_houghlines.html
# rho theta thresh min length, max gap:
lines = cv2.HoughLinesP(processed_img, 1, np.pi/180, 180, 20, 15)
m1 = 0
m2 = 0
try:
l1, l2, m1,m2 = draw_lanes(original_image,lines)
cv2.line(original_image, (l1[0], l1[1]), (l1[2], l1[3]), [0,255,0], 30)
cv2.line(original_image, (l2[0], l2[1]), (l2[2], l2[3]), [0,255,0], 30)
except Exception as e:
print(str(e))
pass
try:
for coords in lines:
coords = coords[0]
try:
cv2.line(processed_img, (coords[0], coords[1]), (coords[2], coords[3]), [255,0,0], 3)
except Exception as e:
print(str(e))
except Exception as e:
pass
return processed_img,original_image, m1, m2
def straight():
PressKey(W)
ReleaseKey(A)
ReleaseKey(D)
def left():
PressKey(A)
ReleaseKey(W)
ReleaseKey(D)
ReleaseKey(A)
def right():
PressKey(D)
ReleaseKey(A)
ReleaseKey(W)
ReleaseKey(D)
def slow_ya_roll():
ReleaseKey(W)
ReleaseKey(A)
ReleaseKey(D)
for i in list(range(4))[::-1]:
print(i+1)
time.sleep(1)
last_time = time.time()
while True:
screen = np.array(ImageGrab.grab(bbox=(0,40,800,640)))
print('Frame took {} seconds'.format(time.time()-last_time))
last_time = time.time()
new_screen,original_image, m1, m2 = process_img(screen)
cv2.imshow('window2',cv2.cvtColor(original_image, cv2.COLOR_BGR2RGB))
if m1 < 0 and m2 < 0:
right()
elif m1 > 0 and m2 > 0:
left()
else:
straight()
if cv2.waitKey(25) & 0xFF == ord('q'):
cv2.destroyAllWindows()
break