test script

This commit is contained in:
QuanyiLi
2023-05-07 15:59:38 +01:00
parent 9755d5937e
commit ac3ceab1ec
6 changed files with 103 additions and 5 deletions

1
.gitignore vendored
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@@ -11,3 +11,4 @@
/documentation/build/
dataset/*
**/combine/
**.json

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@@ -0,0 +1,21 @@
import os
from scenarionet import SCENARIONET_DATASET_PATH
from scenarionet.builder.utils import combine_multiple_dataset
from scenarionet.verifier.utils import verify_loading_into_metadrive
def _test_combine_dataset():
dataset_paths = [os.path.join(SCENARIONET_DATASET_PATH, "nuscenes")]
dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "nuplan"))
dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "waymo"))
dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "nuscenes"))
combine_path = os.path.join(SCENARIONET_DATASET_PATH, "combined_dataset")
combine_multiple_dataset(combine_path, *dataset_paths, force_overwrite=True, try_generate_missing_file=True)
success, result = verify_loading_into_metadrive(combine_path)
assert success
if __name__ == '__main__':
_test_combine_dataset()

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@@ -0,0 +1,60 @@
import os
from metadrive.envs.scenario_env import ScenarioEnv
from metadrive.policy.replay_policy import ReplayEgoCarPolicy
from metadrive.scenario.utils import get_number_of_scenarios
from scenarionet import SCENARIONET_DATASET_PATH
from scenarionet.builder.utils import combine_multiple_dataset
if __name__ == '__main__':
dataset_paths = [os.path.join(SCENARIONET_DATASET_PATH, "nuscenes")]
dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "nuplan"))
dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "waymo"))
dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "nuscenes"))
combine_path = os.path.join(SCENARIONET_DATASET_PATH, "combined_dataset")
combine_multiple_dataset(combine_path, *dataset_paths, force_overwrite=True, try_generate_missing_file=True)
env = ScenarioEnv(
{
"use_render": True,
"agent_policy": ReplayEgoCarPolicy,
"manual_control": False,
"show_interface": True,
"debug": False,
"show_logo": False,
"show_fps": False,
"force_reuse_object_name": True,
"num_scenarios": get_number_of_scenarios(combine_path),
"horizon": 1000,
"no_static_vehicles": True,
"vehicle_config": dict(
show_navi_mark=False,
no_wheel_friction=True,
lidar=dict(num_lasers=120, distance=50, num_others=4),
lane_line_detector=dict(num_lasers=12, distance=50),
side_detector=dict(num_lasers=160, distance=50)
),
"data_directory": combine_path,
}
)
success = []
env.reset(force_seed=91)
while True:
env.reset(force_seed=91)
for t in range(10000):
o, r, d, info = env.step([0, 0])
assert env.observation_space.contains(o)
c_lane = env.vehicle.lane
long, lat, = c_lane.local_coordinates(env.vehicle.position)
if env.config["use_render"]:
env.render(
text={
"seed": env.engine.global_seed + env.config["start_scenario_index"],
}
)
if d and info["arrive_dest"]:
print("seed:{}, success".format(env.engine.global_random_seed))
break

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@@ -21,7 +21,8 @@ def test_combine_multiple_dataset():
summary, sorted_scenarios, mapping = read_dataset_summary(dataset_path)
for scenario_file in sorted_scenarios:
read_scenario(os.path.join(dataset_path, mapping[scenario_file], scenario_file))
verify_loading_into_metadrive(dataset_path)
success, result = verify_loading_into_metadrive(dataset_path, result_save_dir="./test_dataset")
assert success
if __name__ == '__main__':

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@@ -1,14 +1,20 @@
import json
import logging
import os
logger = logging.getLogger(__name__)
import tqdm
from metadrive.envs.scenario_env import ScenarioEnv
from metadrive.policy.replay_policy import ReplayEgoCarPolicy
from metadrive.scenario.utils import get_number_of_scenarios
def verify_loading_into_metadrive(dataset_path):
def verify_loading_into_metadrive(dataset_path, result_save_dir=None):
scenario_num = get_number_of_scenarios(dataset_path)
if result_save_dir is not None:
assert os.path.exists(result_save_dir) and os.path.isdir(
result_save_dir), "Argument result_save_dir must be an existing dir"
success = True
env = ScenarioEnv(
{
"agent_policy": ReplayEgoCarPolicy,
@@ -18,11 +24,20 @@ def verify_loading_into_metadrive(dataset_path):
"data_directory": dataset_path,
}
)
error_files = []
try:
for i in tqdm.tqdm(range(scenario_num)):
env.reset(force_seed=i)
except Exception as e:
file_name = env.engine.data_manager.summary_lookup[i]
file_path = os.path.join(dataset_path, env.engine.data_manager.mapping[file_name], file_name)
raise ValueError("Scenario Error, seed: {}, file_path: {}. "
"\n Error message: {}".format(i, file_path, e))
error_file = {"seed": i, "file_path": file_path, "error": e}
error_files.append(error_file)
logger.warning("\n Scenario Error, seed: {}, file_path: {}.\n Error message: {}".format(i, file_path, e))
success=False
finally:
env.close()
if result_save_dir is not None:
with open(os.path.join(result_save_dir, "error_scenarios_{}.json".format(os.path.basename(dataset_path))), "w+") as f:
json.dump(error_files, f)
return success, error_files