1.0.7 - Lots of new features, including a standardized map format, speedups, and new functionalities!

Here's a summary of the changes (in no particular order):

• The ability to specify padding direction has been added (whether historical agent states should be padded on the left or right).
• A standardized map format has been added and is now being used (VectorizedMap) based on protobufs for efficient storage.
  • Accordingly, map extraction functions have been added to the nuScenes and Lyft Level 5 interfaces.
• Speedups related to data standardization in the default DataFrameCache.
• Added timestep frequency downsampling (previously only upsampling was implemented).
• Standardized the map handling of datasets with no maps (empty patches with a given fill value will be returned).
• Added the ability to add extra tensors to batch elements, see examples/custom_batch_data.py for examples.
• Allow floating point map resolutions.
• Added scene_id to batches.
• Added argument only_predict to UnifiedDataset which filters down the data index (i.e., which agents to predict) without also filtering agents from the scene.
• Speedups to dataloading, owing to improvements in the UnifiedDataset's underlying data index implementation.
• Changed nuScenes splits to better match the official splits from the dataset (closer to the prediction challenge, but not filtering all the way down to particular instance and sample tokens).
• Added the ability to add agents on the fly during simulation.

NOTE: If upgrading from a previous version, please make sure to delete your unified data cache and recreate it using this latest version of trajdata.