introduction-to-deep-learning/Intelligence Artificielle d.../1. Self_Driving_Car/map2.py

250 lines
7.9 KiB
Python

# Self Driving Car
# Importing the libraries
import numpy as np
from random import random, randint
import matplotlib.pyplot as plt
import time
# Importing the Kivy packages
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
from kivy.graphics import Color, Ellipse, Line
from kivy.config import Config
from kivy.properties import NumericProperty, ReferenceListProperty, ObjectProperty
from kivy.vector import Vector
from kivy.clock import Clock
# Importing the Dqn object from our AI in ai.py
from ai2 import Dqn
# Implémenter un timer
from timeit import default_timer
starting_time = default_timer()
duration_time = default_timer() - starting_time
# Adding this line if we don't want the right click to put a red point
Config.set('input', 'mouse', 'mouse,multitouch_on_demand')
# Introducing last_x and last_y, used to keep the last point in memory when we draw the sand on the map
last_x = 0
last_y = 0
n_points = 0
length = 0
# Getting our AI, which we call "brain", and that contains our neural network that represents our Q-function
brain = Dqn(6,3,0.9)
action2rotation = [0,20,-20]
last_reward = 0
scores = []
# Initializing the map
first_update = True
def init():
global sand
global goal_x
global goal_y
global first_update
sand = np.zeros((longueur,largeur))
goal_x = 20
goal_y = largeur - 20
first_update = False
# Initializing the last distance
last_distance = 0
# Creating the car class
class Car(Widget):
angle = NumericProperty(0)
rotation = NumericProperty(0)
velocity_x = NumericProperty(0)
velocity_y = NumericProperty(0)
velocity = ReferenceListProperty(velocity_x, velocity_y)
sensor1_x = NumericProperty(0)
sensor1_y = NumericProperty(0)
sensor1 = ReferenceListProperty(sensor1_x, sensor1_y)
sensor2_x = NumericProperty(0)
sensor2_y = NumericProperty(0)
sensor2 = ReferenceListProperty(sensor2_x, sensor2_y)
sensor3_x = NumericProperty(0)
sensor3_y = NumericProperty(0)
sensor3 = ReferenceListProperty(sensor3_x, sensor3_y)
signal1 = NumericProperty(0)
signal2 = NumericProperty(0)
signal3 = NumericProperty(0)
def move(self, rotation):
self.pos = Vector(*self.velocity) + self.pos
self.rotation = rotation
self.angle = self.angle + self.rotation
self.sensor1 = Vector(30, 0).rotate(self.angle) + self.pos
self.sensor2 = Vector(30, 0).rotate((self.angle+30)%360) + self.pos
self.sensor3 = Vector(30, 0).rotate((self.angle-30)%360) + self.pos
self.signal1 = int(np.sum(sand[int(self.sensor1_x)-10:int(self.sensor1_x)+10, int(self.sensor1_y)-10:int(self.sensor1_y)+10]))/400.
self.signal2 = int(np.sum(sand[int(self.sensor2_x)-10:int(self.sensor2_x)+10, int(self.sensor2_y)-10:int(self.sensor2_y)+10]))/400.
self.signal3 = int(np.sum(sand[int(self.sensor3_x)-10:int(self.sensor3_x)+10, int(self.sensor3_y)-10:int(self.sensor3_y)+10]))/400.
if self.sensor1_x>longueur-10 or self.sensor1_x<10 or self.sensor1_y>largeur-10 or self.sensor1_y<10:
self.signal1 = 1.
if self.sensor2_x>longueur-10 or self.sensor2_x<10 or self.sensor2_y>largeur-10 or self.sensor2_y<10:
self.signal2 = 1.
if self.sensor3_x>longueur-10 or self.sensor3_x<10 or self.sensor3_y>largeur-10 or self.sensor3_y<10:
self.signal3 = 1.
class Ball1(Widget):
pass
class Ball2(Widget):
pass
class Ball3(Widget):
pass
# Creating the game class
class Game(Widget):
car = ObjectProperty(None)
ball1 = ObjectProperty(None)
ball2 = ObjectProperty(None)
ball3 = ObjectProperty(None)
def serve_car(self):
self.car.center = self.center
self.car.velocity = Vector(6, 0)
def update(self, dt):
global brain
global last_reward
global scores
global last_distance
global goal_x
global goal_y
global longueur
global largeur
global starting_time
global duration_time
longueur = self.width
largeur = self.height
if first_update:
init()
xx = goal_x - self.car.x
yy = goal_y - self.car.y
orientation = Vector(*self.car.velocity).angle((xx,yy))/180.
last_signal = [self.car.signal1, self.car.signal2, self.car.signal3,
orientation, -orientation, duration_time]
action = brain.update(last_reward, last_signal)
scores.append(brain.score())
rotation = action2rotation[action]
self.car.move(rotation)
distance = np.sqrt((self.car.x - goal_x)**2 + (self.car.y - goal_y)**2)
self.ball1.pos = self.car.sensor1
self.ball2.pos = self.car.sensor2
self.ball3.pos = self.car.sensor3
if sand[int(self.car.x),int(self.car.y)] > 0:
self.car.velocity = Vector(1, 0).rotate(self.car.angle)
last_reward = -1.5
else: # otherwise
self.car.velocity = Vector(6, 0).rotate(self.car.angle)
last_reward = -0.1
if distance < last_distance:
last_reward = 0.1
if self.car.x < 10:
self.car.x = 10
last_reward = -1
if self.car.x > self.width - 10:
self.car.x = self.width - 10
last_reward = -1
if self.car.y < 10:
self.car.y = 10
last_reward = -1
if self.car.y > self.height - 10:
self.car.y = self.height - 10
last_reward = -1
if distance < 100:
goal_x = self.width-goal_x
goal_y = self.height-goal_y
last_reward = 2
starting_time = default_timer()
duration_time = default_timer() - starting_time
if duration_time > 10:
last_reward = last_reward - 0.2
last_distance = distance
# Adding the painting tools
class MyPaintWidget(Widget):
def on_touch_down(self, touch):
global length, n_points, last_x, last_y
with self.canvas:
Color(0.8,0.7,0)
d = 10.
touch.ud['line'] = Line(points = (touch.x, touch.y), width = 10)
last_x = int(touch.x)
last_y = int(touch.y)
n_points = 0
length = 0
sand[int(touch.x),int(touch.y)] = 1
def on_touch_move(self, touch):
global length, n_points, last_x, last_y
if touch.button == 'left':
touch.ud['line'].points += [touch.x, touch.y]
x = int(touch.x)
y = int(touch.y)
length += np.sqrt(max((x - last_x)**2 + (y - last_y)**2, 2))
n_points += 1.
density = n_points/(length)
touch.ud['line'].width = int(20 * density + 1)
sand[int(touch.x) - 10 : int(touch.x) + 10, int(touch.y) - 10 : int(touch.y) + 10] = 1
last_x = x
last_y = y
# Adding the API Buttons (clear, save and load)
class CarApp(App):
def build(self):
parent = Game()
parent.serve_car()
Clock.schedule_interval(parent.update, 1.0/60.0)
self.painter = MyPaintWidget()
clearbtn = Button(text = 'clear')
savebtn = Button(text = 'save', pos = (parent.width, 0))
loadbtn = Button(text = 'load', pos = (2 * parent.width, 0))
clearbtn.bind(on_release = self.clear_canvas)
savebtn.bind(on_release = self.save)
loadbtn.bind(on_release = self.load)
parent.add_widget(self.painter)
parent.add_widget(clearbtn)
parent.add_widget(savebtn)
parent.add_widget(loadbtn)
return parent
def clear_canvas(self, obj):
global sand
self.painter.canvas.clear()
sand = np.zeros((longueur,largeur))
def save(self, obj):
print("saving brain...")
brain.save()
plt.plot(scores)
plt.show()
def load(self, obj):
print("loading last saved brain...")
brain.load()
# Running the whole thing
if __name__ == '__main__':
CarApp().run()