sys.exit(1)
c = Client(torcs_path=sys.argv[1])
# CONFIGURATION #
POPULATION_SIZE = 10
BATCHES = 5
EVO_ITERATIONS = 3
TRACK = 'random'
LAPS = 2
NORMALIZED_FITNESS = True
c.timeout = LAPS * 500
c.auto_recover = True
#################
trained_pop = []
trained_pop.append(NetworkDriver.from_directory(trained_files.get_file("Human")))
trained_pop.append(NetworkDriver.from_directory(trained_files.get_file("SimpleDriver")))
trained_pop.append(NetworkDriver.from_directory(trained_files.get_file("SimpleExample2")))
trained_pop.append(NetworkDriver.from_directory(trained_files.get_file("bot1")))
trained_pop.append(NetworkDriver.from_directory(trained_files.get_file("bot2")))
evo = Evolution(torcs_client=c)
global_population_fitness_history = []
global_tracks = []
start = timeit.default_timer()
pop = list(trained_pop)
while len(pop) < POPULATION_SIZE:
new_driver = random.choice(trained_pop).mutate()
pop.append(new_driver)
evo.laps = LAPS
evo.track = TRACK
# print "distance raced:", s['distRaced']
return driver.compute_fitness(last_sensor=s, lap_times=lap_times, max_speed=max_speed,
average_speed=avg_speed.avg, timeout_reached=timeout_reached)
else:
return 0.0
except KeyboardInterrupt:
print "Exit client"
except Exception as e:
print "Client Error:", e
finally:
#print "race call took %0.1f seconds." % (timeit.default_timer() - start_time)
self.close()
if __name__ == '__main__':
if len(sys.argv) < 2:
print "Usage: python client.py torcs_install_path"
sys.exit(1)
ndr = NetworkDriver.from_directory(trained_files.get_file("mlp_single_layer"))
# ndr = NetworkDriver.from_file(trained_files.get_file("best_evo_driver_01.pkl"))
#c = Client(torcs_path=sys.argv[1])
#c.configure(track_name='g-track-2', laps=2)
c = Client(torcs_path=None) # Use this for GUI test
c.timeout = 1200
c.auto_recover = False
c.race(driver=ndr)
print "fitness:", ndr.fitness
