96 lines
3.5 KiB
Python
96 lines
3.5 KiB
Python
from __future__ import annotations
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import argparse
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import rerun as rr
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import rerun.blueprint as rrb
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def main() -> None:
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parser = argparse.ArgumentParser(description="Simple benchmark for many transforms over time & space.")
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rr.script_add_args(parser)
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parser.add_argument("--branching-factor", type=int, default=2, help="How many children each node has")
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parser.add_argument("--hierarchy-depth", type=int, default=10, help="How many levels of hierarchy we want")
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parser.add_argument(
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"--transforms-every-n-levels", type=int, default=2, help="At which level in the hierarchies we add transforms"
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)
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parser.add_argument(
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"--num-timestamps",
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type=int,
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default=100,
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help="Number of timestamps to log. Stamps shift for each entity a bit.",
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)
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parser.add_argument("--transforms-only", action="store_true", help="If set, don't log a point at each leaf")
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parser.add_argument(
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"--num-views", type=int, default=6, help="Number of 3D views to create (each will use a different origin)"
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)
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args = parser.parse_args()
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rr.script_setup(args, "rerun_example_benchmark_many_transforms")
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rr.set_time("sim_time", duration=0)
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entity_paths = []
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call_id = 0
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def log_hierarchy(entity_path: str, level: int) -> None:
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nonlocal call_id
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call_id += 1
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entity_paths.append(entity_path)
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# Add a transform at every 'transforms_every_n_levels' level except root
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if level > 0 and level % args.transforms_every_n_levels == 0:
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# Add a static transform that has to be combined in to stress the per-timestamp transform resolve.
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rr.log(
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entity_path,
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# Have to be careful to not override all other transforms, therefore, use `from_fields`.
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rr.Transform3D.from_fields(
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mat3x3=[
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[1.0 + level * 0.1, 0.0, 0.0],
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[0.0, 1.0 + level * 0.1, 0.0],
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[0.0, 0.0, 1.0 + level * 0.1],
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]
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),
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static=True,
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)
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# Add a transform that changes for each timestamp.
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for i in range(args.num_timestamps):
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call_id_factor = call_id * 0.02
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rr.set_time("sim_time", duration=i + call_id_factor)
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rr.log(
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entity_path,
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rr.Transform3D(
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translation=[i * 0.1 * level + call_id_factor, call_id_factor * level, 0.0],
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rotation_axis_angle=rr.RotationAxisAngle(axis=(0.0, 1.0, 0.0), degrees=i * 0.1),
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),
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)
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if level == args.hierarchy_depth:
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if not args.transforms_only:
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# Log a single point at the leaf
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rr.set_time("sim_time", duration=0)
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rr.log(entity_path, rr.Points3D([[0.0, 0.0, 0.0]]))
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return
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for i in range(args.branching_factor):
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child_path = f"{entity_path}/{i}_at_{level}"
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log_hierarchy(child_path, level + 1)
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log_hierarchy("root", 0)
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# All views display all entities.
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rr.send_blueprint(
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rrb.Blueprint(
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rrb.Grid(
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contents=[rrb.Spatial3DView(origin=path, contents="/**") for path in entity_paths[: args.num_views]]
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),
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collapse_panels=True, # Collapse panels, so perf is mostly about the data & the views.
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)
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)
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if __name__ == "__main__":
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main()
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