AI Car Simulation NEAT

config.txt

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+[NEAT]
+fitness_criterion     = max
+fitness_threshold     = 10000000000
+pop_size              = 50
+reset_on_extinction   = True
+
+[DefaultGenome]
+# node activation options
+activation_default      = tanh
+activation_mutate_rate  = 0.1
+activation_options      = tanh
+
+# node aggregation options
+aggregation_default     = sum
+aggregation_mutate_rate = 0.01
+aggregation_options     = sum
+
+# node bias options
+bias_init_mean          = 0.0
+bias_init_stdev         = 1.0
+bias_max_value          = 30.0
+bias_min_value          = -30.0
+bias_mutate_power       = 0.5
+bias_mutate_rate        = 0.7
+bias_replace_rate       = 0.1
+
+# genome compatibility options
+compatibility_disjoint_coefficient = 1.0
+compatibility_weight_coefficient   = 0.5
+
+# connection add/remove rates
+conn_add_prob           = 0.5
+conn_delete_prob        = 0.5
+
+# connection enable options
+enabled_default         = True
+enabled_mutate_rate     = 0.1
+
+feed_forward            = True
+initial_connection      = full
+
+# node add/remove rates
+node_add_prob           = 0.2
+node_delete_prob        = 0.2
+
+# network parameters
+num_hidden              = 0
+num_inputs              = 5
+num_outputs             = 4
+
+# node response options
+response_init_mean      = 1.0
+response_init_stdev     = 0.0
+response_max_value      = 30.0
+response_min_value      = -30.0
+response_mutate_power   = 0.0
+response_mutate_rate    = 0.0
+response_replace_rate   = 0.0
+
+# connection weight options
+weight_init_mean        = 0.0
+weight_init_stdev       = 1.0
+weight_max_value        = 30
+weight_min_value        = -30
+weight_mutate_power     = 0.8
+weight_mutate_rate      = 0.9
+weight_replace_rate     = 0.1
+
+[DefaultSpeciesSet]
+compatibility_threshold = 2.0
+
+[DefaultStagnation]
+species_fitness_func = max
+max_stagnation       = 20
+species_elitism      = 2
+
+[DefaultReproduction]
+elitism            = 2
+survival_threshold = 0.4

simulation.py

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+# This Code is Heavily Inspired By The YouTuber: Cheesy AI
+# Code Changed, Optimized And Commented By: NeuralNine (Florian Dedov)
+
+import math
+import random
+import sys
+import os
+
+import neat
+import pygame
+
+# Constants
+WIDTH = 1600
+HEIGHT = 880
+
+CAR_SIZE_X = 30
+CAR_SIZE_Y = 30
+
+BORDER_COLOR = (255, 255, 255, 255) # Color To Crash on Hit
+
+current_generation = 0 # Generation counter
+
+class Car:
+
+    def __init__(self):
+        # Load Car Sprite and Rotate
+        self.sprite = pygame.image.load('car.png').convert() # Convert Speeds Up A Lot
+        self.sprite = pygame.transform.scale(self.sprite, (CAR_SIZE_X, CAR_SIZE_Y))
+        self.rotated_sprite = self.sprite 
+
+        self.position = [690, 740] # Starting Position
+        self.angle = 0
+        self.speed = 0
+
+        self.speed_set = False # Flag For Default Speed Later on
+
+        self.center = [self.position[0] + CAR_SIZE_X / 2, self.position[1] + CAR_SIZE_Y / 2] # Calculate Center
+
+        self.radars = [] # List For Sensors / Radars
+        self.drawing_radars = [] # Radars To Be Drawn
+
+        self.alive = True # Boolean To Check If Car is Crashed
+
+        self.distance = 0 # Distance Driven
+        self.time = 0 # Time Passed
+
+    def draw(self, screen):
+        screen.blit(self.rotated_sprite, self.position) # Draw Sprite
+        # self.draw_radar(screen) OPTIONAL FOR SENSORS
+
+    def draw_radar(self, screen):
+        # Optionally Draw All Sensors / Radars
+        for radar in self.radars:
+            position = radar[0]
+            pygame.draw.line(screen, (0, 255, 0), self.center, position, 1)
+            pygame.draw.circle(screen, (0, 255, 0), position, 5)
+
+    def check_collision(self, game_map):
+        self.alive = True
+        for point in self.corners:
+            # If Any Corner Touches Border Color -> Crash
+            # Assumes Rectangle
+            if game_map.get_at((int(point[0]), int(point[1]))) == BORDER_COLOR:
+                self.alive = False
+                break
+
+    def check_radar(self, degree, game_map):
+        length = 0
+        x = int(self.center[0] + math.cos(math.radians(360 - (self.angle + degree))) * length)
+        y = int(self.center[1] + math.sin(math.radians(360 - (self.angle + degree))) * length)
+
+        # While We Don't Hit BORDER_COLOR AND length < 300 (just a max) -> go further and further
+        while not game_map.get_at((x, y)) == BORDER_COLOR and length < 300:
+            length = length + 1
+            x = int(self.center[0] + math.cos(math.radians(360 - (self.angle + degree))) * length)
+            y = int(self.center[1] + math.sin(math.radians(360 - (self.angle + degree))) * length)
+
+        # Calculate Distance To Border And Append To Radars List
+        dist = int(math.sqrt(math.pow(x - self.center[0], 2) + math.pow(y - self.center[1], 2)))
+        self.radars.append([(x, y), dist])
+    
+    def update(self, game_map):
+        # Set The Speed To 20 For The First Time
+        # Only When Having 4 Output Nodes With Speed Up and Down
+        if not self.speed_set:
+            self.speed = 10
+            self.speed_set = True
+
+        # Get Rotated Sprite And Move Into The Right X-Direction
+        # Don't Let The Car Go Closer Than 20px To The Edge
+        self.rotated_sprite = self.rotate_center(self.sprite, self.angle)
+        self.position[0] += math.cos(math.radians(360 - self.angle)) * self.speed
+        self.position[0] = max(self.position[0], 20)
+        self.position[0] = min(self.position[0], WIDTH - 120)
+
+        # Increase Distance and Time
+        self.distance += self.speed
+        self.time += 1
+        
+        # Same For Y-Position
+        self.position[1] += math.sin(math.radians(360 - self.angle)) * self.speed
+        self.position[1] = max(self.position[1], 20)
+        self.position[1] = min(self.position[1], WIDTH - 120)
+
+        # Calculate New Center
+        self.center = [int(self.position[0]) + CAR_SIZE_X / 2, int(self.position[1]) + CAR_SIZE_Y / 2]
+
+        # Calculate Four Corners
+        # Length Is Half The Side
+        length = 0.5 * CAR_SIZE_X
+        left_top = [self.center[0] + math.cos(math.radians(360 - (self.angle + 30))) * length, self.center[1] + math.sin(math.radians(360 - (self.angle + 30))) * length]
+        right_top = [self.center[0] + math.cos(math.radians(360 - (self.angle + 150))) * length, self.center[1] + math.sin(math.radians(360 - (self.angle + 150))) * length]
+        left_bottom = [self.center[0] + math.cos(math.radians(360 - (self.angle + 210))) * length, self.center[1] + math.sin(math.radians(360 - (self.angle + 210))) * length]
+        right_bottom = [self.center[0] + math.cos(math.radians(360 - (self.angle + 330))) * length, self.center[1] + math.sin(math.radians(360 - (self.angle + 330))) * length]
+        self.corners = [left_top, right_top, left_bottom, right_bottom]
+
+        # Check Collisions And Clear Radars
+        self.check_collision(game_map)
+        self.radars.clear()
+
+        # From -90 To 120 With Step-Size 45 Check Radar
+        for d in range(-90, 120, 45):
+            self.check_radar(d, game_map)
+
+    def get_data(self):
+        # Get Distances To Border
+        radars = self.radars
+        return_values = [0, 0, 0, 0, 0]
+        for i, radar in enumerate(radars):
+            return_values[i] = int(radar[1] / 30)
+
+        return return_values
+
+    def is_alive(self):
+        # Basic Alive Function
+        return self.alive
+
+    def get_reward(self):
+        # Calculate Reward (Maybe Change?)
+        # return self.distance / 50.0
+        return self.distance / (CAR_SIZE_X / 2)
+
+    def rotate_center(self, image, angle):
+        # Rotate The Rectangle
+        rectangle = image.get_rect()
+        rotated_image = pygame.transform.rotate(image, angle)
+        rotated_rectangle = rectangle.copy()
+        rotated_rectangle.center = rotated_image.get_rect().center
+        rotated_image = rotated_image.subsurface(rotated_rectangle).copy()
+        return rotated_image
+
+
+def run_simulation(genomes, config):
+    
+    # Empty Collections For Nets and Cars
+    nets = []
+    cars = []
+
+    # Initialize PyGame And The Display
+    pygame.init()
+    screen = pygame.display.set_mode((WIDTH, HEIGHT))
+
+    # For All Genomes Passed Create A New Neural Network
+    for i, g in genomes:
+        net = neat.nn.FeedForwardNetwork.create(g, config)
+        nets.append(net)
+        g.fitness = 0
+
+        cars.append(Car())
+
+    # Clock Settings
+    # Font Settings & Loading Map
+    clock = pygame.time.Clock()
+    generation_font = pygame.font.SysFont("Arial", 30)
+    alive_font = pygame.font.SysFont("Arial", 20)
+    game_map = pygame.image.load('map.png').convert() # Convert Speeds Up A Lot
+
+    global current_generation
+    current_generation += 1
+
+    # Simple Counter To Roughly Limit Time (Not Good Practice)
+    counter = 0
+
+    while True:
+        # Exit On Quit Event
+        for event in pygame.event.get():
+            if event.type == pygame.QUIT:
+                sys.exit(0)
+
+        # For Each Car Get The Acton It Takes
+        for i, car in enumerate(cars):
+            output = nets[i].activate(car.get_data())
+            choice = output.index(max(output))
+            if choice == 0:
+                car.angle += 10 # Left
+            elif choice == 1:
+                car.angle -= 10 # Right
+            elif choice == 2:
+                if(car.speed - 2 >= 12):
+                    car.speed -= 2 # Slow Down
+            else:
+                car.speed += 2 # Speed Up
+        
+        # Check If Car Is Still Alive
+        # Increase Fitness If Yes And Break Loop If Not
+        still_alive = False
+        for i, car in enumerate(cars):
+            if car.is_alive():
+                still_alive = True
+                car.update(game_map)
+                genomes[i][1].fitness += car.get_reward()
+
+        if still_alive == False:
+            break
+
+        counter += 1
+        if counter == 30 * 20: # Stop After About 20 Seconds
+            break
+
+        # Draw Map And All Cars That Are Alive
+        screen.blit(game_map, (0, 0))
+        for car in cars:
+            if car.is_alive():
+                car.draw(screen)
+        
+        # Display Info
+        text = generation_font.render("Generation: " + str(current_generation), True, (0,0,0))
+        text_rect = text.get_rect()
+        text_rect.center = (100, 100)
+        screen.blit(text, text_rect)
+
+        text = alive_font.render("Still Alive: " + str(still_alive), True, (0, 0, 0))
+        text_rect = text.get_rect()
+        text_rect.center = (100, 150)
+        screen.blit(text, text_rect)
+
+        pygame.display.flip()
+        clock.tick(60) # 60 FPS
+
+if __name__ == "__main__":
+    
+    # Load Config
+    config_path = "./config.txt"
+    config = neat.config.Config(neat.DefaultGenome,
+                                neat.DefaultReproduction,
+                                neat.DefaultSpeciesSet,
+                                neat.DefaultStagnation,
+                                config_path)
+
+    # Create Population And Add Reporters
+    population = neat.Population(config)
+    population.add_reporter(neat.StdOutReporter(True))
+    stats = neat.StatisticsReporter()
+    population.add_reporter(stats)
+    
+    # Run Simulation For A Maximum of 1000 Generations
+    population.run(run_simulation, 1000)