def run_client(client_id, genome, network, evaluation):
driver = MyDriver(network=network, logdata=False)
client = Client(driver=driver, port=3001 + client_id)
print(client_id, 'driving...')
client.run()
# evaluation.extend(driver.eval(2587.54)) # track length for aalborg
evaluation.extend(driver.eval(3260.43)) # track length for eroad
def eval_genomes(genomes, config):
importlib.reload(my_driver)
from my_driver import MyDriver
best_time = float('inf')
finished = 0
for idx, item in enumerate(genomes):
print('idx:', idx)
genome_id, genome = item
net = neat.nn.FeedForwardNetwork.create(genome, config)
print('start server')
server_proc = subprocess.Popen(["torcs", "-r", torcs_config_file],
stdout=subprocess.PIPE)
driver = MyDriver(network=net, logdata=False)
client = Client(driver=driver)
print('driving...')
client.run()
try:
server_proc.wait(timeout=20)
except subprocess.TimeoutExpired as ex:
process = psutil.Process(server_proc.pid)
for proc in process.children(recursive=True):
proc.kill()
process.kill()
genome.fitness = driver.eval(2057.56) # track length for speedway
# genome.fitness = driver.eval(6355.65) # track length for alpine 1
# genome.fitness = driver.eval(3274.20) # track length for ruudskogen
print('fitness: ', genome.fitness, '\n')
if driver.prev_state.last_lap_time:
finished += 1
if driver.prev_state.last_lap_time < best_time:
best_time = driver.prev_state.last_lap_time
print('Best time: ', best_time)
print('Finished races: ', finished)