def start():
config = BeamNGConfig()
problem = BeamNGProblem(config, SmartArchive(config.ARCHIVE_THRESHOLD))
nsga2.main(problem)
print('done')
plt.ioff()
plt.show()
def __init__(self, service: AIExchangeService) -> None:
from core.folders import folders
from self_driving.beamng_config import BeamNGConfig
from self_driving.nvidia_prediction import NvidiaPrediction
from keras.models import load_model
self._service = service
config = BeamNGConfig()
model_file = str(
folders.trained_models_colab.joinpath(config.keras_model_file))
model = load_model(model_file)
self._prediction = NvidiaPrediction(model, config)
try:
if self.config.beamng_close_at_iteration:
self._close()
else:
if self.brewer:
self.brewer.beamng.stop_scenario()
except Exception as ex:
log.debug('end_iteration() failed:')
traceback.print_exception(type(ex), ex, ex.__traceback__)
def _close(self):
if self.brewer:
try:
self.brewer.beamng.close()
except Exception as ex:
log.debug('beamng.close() failed:')
traceback.print_exception(type(ex), ex, ex.__traceback__)
self.brewer = None
if __name__ == '__main__':
config = BeamNGConfig()
inst = BeamNGNvidiaOob(config)
while True:
seed_storage = SeedStorage('basic5')
for i in range(1, 11):
member = BeamNGMember.from_dict(seed_storage.load_json_by_index(i))
member.clear_evaluation()
inst.evaluate([member])
log.info(member)
import json
from core.archive_impl import SmartArchive
from self_driving.beamng_config import BeamNGConfig
from self_driving.beamng_problem import BeamNGProblem
from core.config import Config
from core.folder_storage import SeedStorage
config_silliest = BeamNGConfig()
config_silliest.keras_model_file = 'self-driving-car-039.h5'
config_silliest.beamng_close_at_iteration = True
config_silly = BeamNGConfig()
config_silly.keras_model_file = 'self-driving-car-065.h5'
config_silly.beamng_close_at_iteration = True
config_smart = BeamNGConfig()
config_silly.keras_model_file = 'self-driving-car-4600.h5'
config_smart.beamng_close_at_iteration = True
problem_silliest = BeamNGProblem(config_silliest,
SmartArchive(config_silly.ARCHIVE_THRESHOLD))
problem_silly = BeamNGProblem(config_silly,
SmartArchive(config_silly.ARCHIVE_THRESHOLD))
problem_smart = BeamNGProblem(config_smart,
SmartArchive(config_smart.ARCHIVE_THRESHOLD))
# problem = BeamNGProblem(config, SmartArchive(config.ARCHIVE_THRESHOLD))
if __name__ == '__main__':
good_members_found = 0