add test script
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@@ -2,11 +2,19 @@ import os
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from metadrive.envs.scenario_env import ScenarioEnv
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from metadrive.policy.replay_policy import ReplayEgoCarPolicy
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from metadrive.scenario.utils import get_number_of_scenarios
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from scenarionet import SCENARIONET_DATASET_PATH
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from scenarionet.builder.utils import combine_multiple_dataset
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if __name__ == '__main__':
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dataset_path = os.path.join(SCENARIONET_DATASET_PATH, "nuscenes_no_mapping_test")
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dataset_paths = [os.path.join(SCENARIONET_DATASET_PATH, "nuscenes")]
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dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "nuplan"))
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dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "waymo"))
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dataset_paths.append(os.path.join(SCENARIONET_DATASET_PATH, "nuscenes"))
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combine_path = os.path.join(SCENARIONET_DATASET_PATH, "combined_dataset")
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combine_multiple_dataset(combine_path, *dataset_paths, force_overwrite=True, try_generate_missing_file=True)
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env = ScenarioEnv(
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{
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@@ -16,7 +24,7 @@ if __name__ == '__main__':
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"show_interface": True,
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"show_logo": False,
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"show_fps": False,
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"num_scenarios": 10,
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"num_scenarios": get_number_of_scenarios(combine_path),
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"horizon": 1000,
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"no_static_vehicles": True,
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"vehicle_config": dict(
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@@ -26,7 +34,7 @@ if __name__ == '__main__':
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lane_line_detector=dict(num_lasers=12, distance=50),
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side_detector=dict(num_lasers=160, distance=50)
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),
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"data_directory": dataset_path,
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"data_directory": combine_path,
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}
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)
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success = []
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@@ -9,9 +9,9 @@ from scenarionet.converter.nuscenes.utils import convert_nuscenes_scenario, get_
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from scenarionet.converter.utils import write_to_directory
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if __name__ == "__main__":
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# raise ValueError("Avoid generating ata")
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raise ValueError("Avoid overwriting existing ata")
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dataset_name = "nuscenes"
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output_path = os.path.join(SCENARIONET_PACKAGE_PATH, "test", "test_dataset", dataset_name)
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output_path = os.path.join(SCENARIONET_PACKAGE_PATH, "tests", "test_dataset", dataset_name)
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version = 'v1.0-mini'
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force_overwrite = True
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@@ -1,20 +1,17 @@
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import os
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import os.path
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import tqdm
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from metadrive.envs.scenario_env import ScenarioEnv
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from metadrive.policy.replay_policy import ReplayEgoCarPolicy
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from scenarionet import SCENARIONET_PACKAGE_PATH
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from scenarionet.builder.utils import combine_multiple_dataset, read_dataset_summary, read_scenario
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from scenarionet.verifier.utils import verify_loading_into_metadrive
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def test_combine_multiple_dataset():
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dataset_name = "nuscenes"
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original_dataset_path = os.path.join(SCENARIONET_PACKAGE_PATH, "test", "test_dataset", dataset_name)
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original_dataset_path = os.path.join(SCENARIONET_PACKAGE_PATH, "tests", "test_dataset", dataset_name)
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dataset_paths = [original_dataset_path + "_{}".format(i) for i in range(5)]
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output_path = os.path.join(SCENARIONET_PACKAGE_PATH, "test", "combine")
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output_path = os.path.join(SCENARIONET_PACKAGE_PATH, "tests", "combine")
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combine_multiple_dataset(output_path,
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*dataset_paths,
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force_overwrite=True,
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@@ -24,16 +21,7 @@ def test_combine_multiple_dataset():
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summary, sorted_scenarios, mapping = read_dataset_summary(dataset_path)
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for scenario_file in sorted_scenarios:
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read_scenario(os.path.join(dataset_path, mapping[scenario_file], scenario_file))
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env = ScenarioEnv({"agent_policy": ReplayEgoCarPolicy,
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"num_scenarios": 10,
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"horizon": 1000,
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"data_directory": output_path})
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try:
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for i in tqdm.tqdm(range(10), desc="Test env loading"):
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env.reset(force_seed=i)
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finally:
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env.close()
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verify_loading_into_metadrive(dataset_path)
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if __name__ == '__main__':
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0
scenarionet/verifier/__init__.py
Normal file
0
scenarionet/verifier/__init__.py
Normal file
28
scenarionet/verifier/utils.py
Normal file
28
scenarionet/verifier/utils.py
Normal file
@@ -0,0 +1,28 @@
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import os
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import tqdm
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from metadrive.envs.scenario_env import ScenarioEnv
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from metadrive.policy.replay_policy import ReplayEgoCarPolicy
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from metadrive.scenario.utils import get_number_of_scenarios
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def verify_loading_into_metadrive(dataset_path):
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scenario_num = get_number_of_scenarios(dataset_path)
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env = ScenarioEnv(
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{
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"agent_policy": ReplayEgoCarPolicy,
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"num_scenarios": scenario_num,
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"horizon": 1000,
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"no_static_vehicles": False,
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"data_directory": dataset_path,
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}
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)
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try:
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for i in tqdm.tqdm(range(scenario_num)):
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env.reset(force_seed=i)
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except Exception as e:
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file_name = env.engine.data_manager.summary_lookup[i]
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file_path = os.path.join(dataset_path, env.engine.data_manager.mapping[file_name], file_name)
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raise ValueError("Scenario Error, seed: {}, file_path: {}. "
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"\n Error message: {}".format(i, file_path, e))
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