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training.py
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training.py
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import pygame
import neat
import os
import pickle
from Bird import Bird
from Pipe import Pipe
from Base import Base
pygame.font.init()
pygame.display.set_caption("Flappy Bird")
WIN_WIDTH = 400
WIN_HEIGHT = 700
BG_IMG = pygame.transform.scale_by(surface=pygame.image.load(os.path.join("images", "bg.png")), factor=1.5)
STAT_FONT = pygame.font.SysFont("comicsans", 25)
GAMEOVER_FONT = pygame.font.SysFont("comicsans", 50)
GEN = 0
def draw_window(win, birds, pipes, base, score, gameover, gen, alive):
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))
text = STAT_FONT.render("Alive: " + str(alive), 1, (255, 255, 255))
win.blit(text, (10, 50))
base.draw(win)
for bird in birds:
bird.draw(win)
if gameover:
text = GAMEOVER_FONT.render("GAMEOVER ", 1, (0, 0, 0))
win.blit(text, (WIN_WIDTH - (WIN_WIDTH / 8) - text.get_width(), WIN_HEIGHT / 2 - 50))
pygame.display.update()
def genome_evaluation(genomes, config):
global GEN
GEN += 1
score = 0
gameover = False
network_list = []
genome_list = []
birds = []
for _, g in genomes:
net = neat.nn.FeedForwardNetwork.create(g, config)
network_list.append(net)
birds.append(Bird(150, 300))
g.fitness = 0
genome_list.append(g)
base = Base(600)
pipes = [Pipe(500)]
win = pygame.display.set_mode((WIN_WIDTH, WIN_HEIGHT))
clock = pygame.time.Clock()
run = True
while run:
clock.tick(120)
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) > 1 and birds[0].x > pipes[0].x + pipes[0].PIPE_TOP.get_width():
pipe_ind = 1
else:
break
for x, bird in enumerate(birds):
bird.move()
genome_list[x].fitness += 0.1
output = network_list[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()
add_pipe = False
removed_pipes = []
for pipe in pipes:
for x, bird in enumerate(birds):
if pipe.collide(bird):
genome_list[x].fitness -= 1
birds.pop(x)
network_list.pop(x)
genome_list.pop(x)
if bird.y + bird.img.get_height() >= 600 or bird.y < 0:
birds.pop(x)
network_list.pop(x)
genome_list.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:
removed_pipes.append(pipe)
pipe.move()
if add_pipe:
score += 1
for g in genome_list:
g.fitness += 5
pipes.append(Pipe(450))
for rp in removed_pipes:
pipes.remove(rp)
if score > 100:
break
base.move()
draw_window(win, birds, pipes, base, score, gameover, GEN, len(birds))
def run_config(configuration_file_path, save_file_path):
config = neat.config.Config(neat.DefaultGenome, neat.DefaultReproduction, neat.DefaultSpeciesSet,
neat.DefaultStagnation, configuration_file_path)
p = neat.Population(config)
p.add_reporter(neat.StdOutReporter(True))
stats = neat.StatisticsReporter()
p.add_reporter(stats)
winner = p.run(genome_evaluation, 50)
# Save the winning genome to a pickle file
with open(save_file_path, 'wb') as f:
pickle.dump(winner, f)
if __name__ == "__main__":
local_dir = os.path.dirname(__file__)
config_path = os.path.join(local_dir, "config-feedforward.txt")
save_path = os.path.join(local_dir, "winner_genome.pkl") # Replace 'winner_genome.pkl' with your desired filename
run_config(config_path, save_path)