combine dataset function

scenarionet/builder/utils.py

@@ -0,0 +1,87 @@
+import copy
+import logging
+import os
+import os.path as osp
+import pickle
+
+from metadrive.scenario.scenario_description import ScenarioDescription
+
+logger = logging.getLogger(__name__)
+
+
+def try_generating_summary(file_folder):
+    # Create a fake one
+    files = os.listdir(file_folder)
+    summary = {}
+    for file in files:
+        file = file.replace(".pkl", "")
+        with open(osp.join(file_folder, file), "rb+") as f:
+            scenario = pickle.load(f)
+        summary[file] = copy.deepcopy(scenario[ScenarioDescription.METADATA])
+    return summary
+
+
+def try_generating_mapping(file_folder):
+    # Create a fake one
+    files = os.listdir(file_folder)
+    mapping = {}
+    for file in files:
+        mapping[file] = ""
+    return mapping
+
+
+def combine_multiple_dataset(output_path, force_overwrite=False, try_generate_missing_file=True, *dataset_paths):
+    """
+    Combine multiple datasets. Each dataset should have a dataset_summary.pkl
+    :param output_path: The path to store the output dataset
+    :param force_overwrite: If True, overwrite the output_path even if it exists
+    :param try_generate_missing_file: If dataset_summary.pkl and mapping.pkl are missing, whether to try generating them
+    :param dataset_paths: Path of each dataset
+    :return:
+    """
+    output_abs_path = osp.abspath(output_path)
+    if os.path.exists(output_abs_path) and not force_overwrite:
+        raise FileExistsError("Output path already exists!")
+
+    summaries = {}
+    mappings = {}
+
+    # collect
+    for dataset_path in dataset_paths:
+        abs_dir_path = osp.abspath(dataset_path)
+        # summary
+        assert osp.exists(abs_dir_path), "Wrong dataset path. Can not find dataset at: {}".format(abs_dir_path)
+        if not osp.exists(osp.join(abs_dir_path, ScenarioDescription.DATASET.SUMMARY_FILE)):
+            if try_generate_missing_file:
+                # TODO add test for 1. number dataset 2. missing summary dataset 3. missing mapping dataset
+                summary = try_generating_summary(abs_dir_path)
+            else:
+                raise FileNotFoundError("Can not find summary file for dataset: {}".format(abs_dir_path))
+        else:
+            with open(osp.join(abs_dir_path, ScenarioDescription.DATASET.SUMMARY_FILE), "rb+") as f:
+                summary = pickle.load(f)
+        intersect = set(summaries.keys()).intersection(set(summary.keys()))
+        if len(intersect) > 0:
+            existing = []
+            for v in list(intersect):
+                existing.append(mappings[v])
+            logging.warning("Repeat scenarios: {} in : {}. Existing: {}".format(intersect, abs_dir_path, existing))
+
+        summaries.update(summary)
+
+        if not osp.exists(osp.join(abs_dir_path, ScenarioDescription.DATASET.MAPPING_FILE)):
+            if try_generate_missing_file:
+                mapping = try_generating_mapping(abs_dir_path)
+            else:
+                raise FileNotFoundError("Can not find mapping file for dataset: {}".format(abs_dir_path))
+        else:
+            with open(osp.join(abs_dir_path, ScenarioDescription.DATASET.MAPPING_FILE), "rb+") as f:
+                mapping = pickle.load(f)
+        new_mapping = {k: os.path.relpath(abs_dir_path, output_abs_path) for k, v in mapping.items()}
+        mappings.update(new_mapping)
+
+    with open(osp.join(output_abs_path, ScenarioDescription.DATASET.SUMMARY_FILE), "wb+") as f:
+        pickle.dump(summaries, f)
+
+    with open(osp.join(output_abs_path, ScenarioDescription.DATASET.MAPPING_FILE), "wb+") as f:
+        pickle.dump(mappings, f)

scenarionet/converter/utils.py

@@ -67,7 +67,7 @@ def contains_explicit_return(f):
 
 
 def write_to_directory(
-    convert_func, scenarios, output_path, dataset_version, dataset_name, force_overwrite=False, **kwargs
+        convert_func, scenarios, output_path, dataset_version, dataset_name, force_overwrite=False, **kwargs
 ):
     """
     Convert a batch of scenarios.
@@ -94,9 +94,14 @@ def write_to_directory(
         else:
             raise ValueError("Directory already exists! Abort")
 
-    summary_file = "dataset_summary.pkl"
+    summary_file = SD.DATASET.SUMMARY_FILE
+    mapping_file = SD.DATASET.MAPPING_FILE
 
-    metadata_recorder = {}
+    summary_file_path = os.path.join(output_path, summary_file)
+    mapping_file_path = os.path.join(output_path, mapping_file)
+
+    summary = {}
+    mapping = {}
     for scenario in tqdm.tqdm(scenarios):
         # convert scenario
         sd_scenario = convert_func(scenario, dataset_version, **kwargs)
@@ -115,7 +120,10 @@ def write_to_directory(
 
         # count some objects occurrence
         sd_scenario[SD.METADATA][SD.SUMMARY.NUMBER_SUMMARY] = SD.get_number_summary(sd_scenario)
-        metadata_recorder[export_file_name] = copy.deepcopy(sd_scenario[SD.METADATA])
+
+        # update summary/mapping dicy
+        summary[export_file_name] = copy.deepcopy(sd_scenario[SD.METADATA])
+        mapping[export_file_name] = ""  # in the same dir
 
         # sanity check
         sd_scenario = sd_scenario.to_dict()
@@ -127,10 +135,11 @@ def write_to_directory(
             pickle.dump(sd_scenario, f)
 
     # store summary file, which is human-readable
-    summary_file = os.path.join(output_path, summary_file)
+    with open(summary_file_path, "wb") as file:
-    with open(summary_file, "wb") as file:
+        pickle.dump(dict_recursive_remove_array_and_set(summary), file)
-        pickle.dump(dict_recursive_remove_array_and_set(metadata_recorder), file)
+    with open(mapping_file_path, "wb") as file:
-    print("Summary is saved at: {}".format(summary_file))
+        pickle.dump(mapping, file)
+    print("Dataset Summary and Mapping are saved at: {}".format(summary_file_path))
 
     # rename and save
     if delay_remove is not None:

scenarionet/examples/run_scenario.py

@@ -0,0 +1,50 @@
+import os
+
+from metadrive.envs.scenario_env import ScenarioEnv
+from metadrive.policy.replay_policy import ReplayEgoCarPolicy
+
+from scenarionet import SCENARIONET_DATASET_PATH
+
+if __name__ == '__main__':
+    dataset_path = os.path.join(SCENARIONET_DATASET_PATH, "nuscenes_no_mapping_test")
+
+    env = ScenarioEnv(
+        {
+            "use_render": True,
+            "agent_policy": ReplayEgoCarPolicy,
+            "manual_control": False,
+            "show_interface": True,
+            "show_logo": False,
+            "show_fps": False,
+            "num_scenarios": 10,
+            "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": dataset_path,
+        }
+    )
+    success = []
+    env.reset(force_seed=0)
+    while True:
+        env.reset(force_seed=env.current_seed + 1)
+        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

scenarionet/test/test_combine_dataset.py

@@ -0,0 +1,4 @@
+
+
+def test_combine_multiple_dataset():
+    pass