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main.py
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main.py
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# Importing the require libraries
import os
import neat
import time
import random
import pygame
# Importing the required modules
from bird import Bird
from pipe import Pipe
from base import Base
# Setting the title for the pygame window
pygame.init()
pygame.display.set_caption("Genetic Flappy Bird using NEAT")
# Global Variables
# Pygame window width and height
WIN_WIDTH = 500
WIN_HEIGHT = 800
# Generation at the beginning
GEN = 0
# Background Image
BG_IMG = pygame.transform.scale2x(pygame.image.load(os.path.join("imgs", "bg.png")))
# Initializing Pygame font
pygame.font.init()
# Font
STAT_FONT = pygame.font.SysFont("comicsans", 50)
def draw_window(win, birds, pipes, base, score, gen):
"""
Function which draws all the components on to the pygame window
"""
win.blit(BG_IMG, (0, 0))
for pipe in pipes:
pipe.draw(win)
text = STAT_FONT.render("Score: " + str(score), 1, (255, 255, 255))
win.blit(text, (WIN_WIDTH - 10 - text.get_width(), 10))
text = STAT_FONT.render("Gen: " + str(gen), 1, (255, 255, 255))
win.blit(text, (10, 10))
base.draw(win)
for bird in birds:
bird.draw(win)
pygame.display.update()
def main(genomes, config):
"""
Main Function which runs the flappy bird using NEAT Algorithm
"""
# Incrementing GEN to keep track of generations
global GEN
GEN += 1
nets = []
ge = []
birds = []
for _, g in genomes:
net = neat.nn.FeedForwardNetwork.create(g, config)
nets.append(net)
birds.append(Bird(230, 350))
g.fitness = 0
ge.append(g)
base = Base(730)
pipes = [Pipe(600)]
win = pygame.display.set_mode((WIN_WIDTH, WIN_HEIGHT))
clock = pygame.time.Clock()
run = True
score = 0
while run:
clock.tick(30)
add_pipe = False
for event in pygame.event.get():
if event.type == pygame.QUIT:
run = False
pygame.quit()
quit()
pipe_ind = 0
if len(birds) > 0:
if len(pipes) > 0 and birds[0].x > pipes[0].x + pipes[0].PIPE_TOP.get_width():
pipe_ind = 1
else:
run = False
break
for x, bird in enumerate(birds):
bird.move()
ge[x].fitness += 0.1
output = nets[x].activate((bird.y, abs(bird.y - pipes[pipe_ind].height), abs(bird.y - pipes[pipe_ind].bottom)))
if output[0] < 0.5:
bird.jump()
rem = []
for pipe in pipes:
for x, bird in enumerate(birds):
if pipe.collide(bird):
ge[x].fitness -= 1
birds.pop(x)
nets.pop(x)
ge.pop(x)
if not pipe.passed and pipe.x < bird.x:
pipe.passed = True
add_pipe = True
if pipe.x + pipe.PIPE_TOP.get_width() < 0:
rem.append(pipe)
pipe.move()
if add_pipe:
score += 1
for g in ge:
g.fitness += 5
pipes.append(Pipe(600))
for r in rem:
pipes.remove(r)
for x, bird in enumerate(birds):
if bird.y + bird.img.get_height() >= 730 or bird.y < 0:
birds.pop(x)
nets.pop(x)
ge.pop(x)
base.move()
# Drawing the components onto the screen
draw_window(win, birds, pipes, base, score, GEN)
def run(config_path):
"""
Function which runs the NEAT Algorithm
"""
# NEAT Algorithm configurations
config = neat.config.Config(neat.DefaultGenome, neat.DefaultReproduction,
neat.DefaultSpeciesSet, neat.DefaultStagnation,
config_path)
# Population
p = neat.Population(config)
# Adding reporter to the population
p.add_reporter(neat.StdOutReporter(True))
stats = neat.StatisticsReporter()
p.add_reporter(stats)
winner = p.run(main, 50)
# Main Loop
if __name__ == "__main__":
# Project directory path
local_dir = os.path.dirname(__file__)
# Path to NEAT config file
config_path = os.path.join(local_dir, "config.txt")
run(config_path)