waymax.dataloader.womd_factories
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Factory functions for converting tensors to Waymax internal data structures.
Module Contents#
Functions#
Constructs object metadata from an Open Motion TFExample dictionary. |
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Constructs a point map from an Open Motion TFExample dictionary. |
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Constructs paths from an Open Motion TFExample dictionary. |
Constructs a simulator state from an aggregated WOMD data dict. |
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Constructs a trajectory from an Open Motion TFExample dictionary. |
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Constructs a traffic light state from WOMD TFExample dictionary. |
- waymax.dataloader.womd_factories.object_metadata_from_womd_dict(example: dict[str, jax.Array]) waymax.datatypes.object_state.ObjectMetadata #
Constructs object metadata from an Open Motion TFExample dictionary.
- Parameters:
example – Mapping from feature name to array for data read from WOMD tf.Example’s in the format of specified in the WOMD website (https://waymo.com/open/data/motion/tfexample).
- Returns:
- Metadata for the objects in the scene read from the WOMD data example of
shape (…, num_objects).
- waymax.dataloader.womd_factories.roadgraph_from_womd_dict(example: dict[str, jax.Array], prefix_key: str = 'roadgraph_samples') waymax.datatypes.roadgraph.RoadgraphPoints #
Constructs a point map from an Open Motion TFExample dictionary.
- Parameters:
example – Dictionary which contains data from the WOMD tf.Examples with optional extra batch dimensions. These are defined at https://waymo.com/open/data/motion/tfexample.
prefix_key – Prefix key for the roadgraph type in the example.
- Returns:
RoadgraphPoints from the example scenario with shape (…, num_points).
- waymax.dataloader.womd_factories.paths_from_womd_dict(example: dict[str, jax.Array], prefix_key: str = 'path_samples') waymax.datatypes.route.Paths #
Constructs paths from an Open Motion TFExample dictionary.
- Parameters:
example – Mapping from feature name to array for data read from WOMD, with extra key/values pairs for route related data.
prefix_key – Keys for indexing route data.
- Returns:
Paths with shape (…, num_paths, num_points_per_path).
- waymax.dataloader.womd_factories.simulator_state_from_womd_dict(example: dict[str, jax.Array], include_sdc_paths: bool = False, time_key: str = 'all') waymax.datatypes.simulator_state.SimulatorState #
Constructs a simulator state from an aggregated WOMD data dict.
- Parameters:
example – Mapping from feature name to array for data read from WOMD tf.Example’s in the format of specified in the WOMD website (https://waymo.com/open/data/motion/tfexample). The data, however, can be augmented with different time keys. We do this in our data loader, by aggregating all timesteps into an all key prefix.
include_sdc_paths – Whether to include sdc based route paths when constructing the simulator state. This is useful for representing the route of the agent. A similar parameter must be used in the data loader to get consistent behavior.
time_key – Time step information to gather from example (past, current, future, all).
- Returns:
- A simulator state constructed at the initial timestep to spec given the
parameters.
- Raises:
ValueError – If a time_key parameter is passed in that is not one of (past, current, future, all).
- waymax.dataloader.womd_factories.trajectory_from_womd_dict(example: dict[str, jax.Array], time_key: str = 'all') waymax.datatypes.object_state.Trajectory #
Constructs a trajectory from an Open Motion TFExample dictionary.
- Parameters:
example – Mapping from feature name to array for data read from WOMD tf.Example’s in the format of specified in the WOMD website (https://waymo.com/open/data/motion/tfexample).
time_key – Key which represents what time dimension to access from the state fields in the example: (i.e. past, current, future, all).
- Returns:
Trajectory of all objects from the example scenario with shape (…, num_objects, num_timesteps).
- waymax.dataloader.womd_factories.traffic_lights_from_womd_dict(example: dict[str, jax.Array], time_key: str = 'all') waymax.datatypes.traffic_lights.TrafficLights #
Constructs a traffic light state from WOMD TFExample dictionary.
- Parameters:
example – Mapping from feature name to array for data read from WOMD tf.Example’s in the format of specified in the WOMD website (https://waymo.com/open/data/motion/tfexample). The data, however, can be augmented with different time keys. We do this in our data loader, by aggregating all timesteps into an all key.
time_key – Time step information to gather from traffic light (past, current, future, all).
- Returns:
Traffic lights from the example scenario with shape (…, num_traffic_lights, num_timesteps).
- Raises:
ValueError – If time_key is not part of the accepted values.