|
| 1 | +from __future__ import annotations |
| 2 | + |
| 3 | +import argparse |
| 4 | + |
| 5 | +import rerun as rr |
| 6 | +import rerun.blueprint as rrb |
| 7 | + |
| 8 | + |
| 9 | +def main() -> None: |
| 10 | + parser = argparse.ArgumentParser(description="Simple benchmark for many transforms over time & space.") |
| 11 | + rr.script_add_args(parser) |
| 12 | + |
| 13 | + parser.add_argument("--branching-factor", type=int, default=2, help="How many children each node has") |
| 14 | + parser.add_argument("--hierarchy-depth", type=int, default=10, help="How many levels of hierarchy we want") |
| 15 | + parser.add_argument( |
| 16 | + "--transforms-every-n-levels", type=int, default=2, help="At which level in the hierarchies we add transforms" |
| 17 | + ) |
| 18 | + parser.add_argument( |
| 19 | + "--num-timestamps", |
| 20 | + type=int, |
| 21 | + default=100, |
| 22 | + help="Number of timestamps to log. Stamps shift for each entity a bit.", |
| 23 | + ) |
| 24 | + parser.add_argument("--transforms-only", action="store_true", help="If set, don't log a point at each leaf") |
| 25 | + parser.add_argument( |
| 26 | + "--num-views", type=int, default=6, help="Number of 3D views to create (each will use a different origin)" |
| 27 | + ) |
| 28 | + |
| 29 | + args = parser.parse_args() |
| 30 | + |
| 31 | + rr.script_setup(args, "rerun_example_benchmark_many_transforms") |
| 32 | + rr.set_time("sim_time", duration=0) |
| 33 | + |
| 34 | + entity_paths = [] |
| 35 | + call_id = 0 |
| 36 | + |
| 37 | + def log_hierarchy(entity_path: str, level: int) -> None: |
| 38 | + nonlocal call_id |
| 39 | + call_id += 1 |
| 40 | + entity_paths.append(entity_path) |
| 41 | + |
| 42 | + # Add a transform at every 'transforms_every_n_levels' level except root |
| 43 | + if level > 0 and level % args.transforms_every_n_levels == 0: |
| 44 | + # Add a static transform that has to be combined in to stress the per-timestamp transform resolve. |
| 45 | + rr.log( |
| 46 | + entity_path, |
| 47 | + # Have to be careful to not override all other transforms, therefore, use `from_fields`. |
| 48 | + rr.Transform3D.from_fields( # |
| 49 | + mat3x3=[ |
| 50 | + [1.0 + level * 0.1, 0.0, 0.0], # |
| 51 | + [0.0, 1.0 + level * 0.1, 0.0], |
| 52 | + [0.0, 0.0, 1.0 + level * 0.1], |
| 53 | + ] |
| 54 | + ), |
| 55 | + static=True, |
| 56 | + ) |
| 57 | + |
| 58 | + # Add a transform that changes for each timestamp. |
| 59 | + for i in range(args.num_timestamps): |
| 60 | + call_id_factor = call_id * 0.02 |
| 61 | + rr.set_time("sim_time", duration=i + call_id_factor) |
| 62 | + rr.log( |
| 63 | + entity_path, |
| 64 | + rr.Transform3D( |
| 65 | + translation=[i * 0.1 * level + call_id_factor, call_id_factor * level, 0.0], |
| 66 | + rotation_axis_angle=rr.RotationAxisAngle(axis=(0.0, 1.0, 0.0), degrees=i * 0.1), |
| 67 | + ), |
| 68 | + ) |
| 69 | + |
| 70 | + if level == args.hierarchy_depth: |
| 71 | + if not args.transforms_only: |
| 72 | + # Log a single point at the leaf |
| 73 | + rr.set_time("sim_time", duration=0) |
| 74 | + rr.log(entity_path, rr.Points3D([[0.0, 0.0, 0.0]])) |
| 75 | + return |
| 76 | + |
| 77 | + for i in range(args.branching_factor): |
| 78 | + child_path = f"{entity_path}/{i}_at_{level}" |
| 79 | + log_hierarchy(child_path, level + 1) |
| 80 | + |
| 81 | + log_hierarchy("root", 0) |
| 82 | + |
| 83 | + # All views display all entities. |
| 84 | + rr.send_blueprint( |
| 85 | + rrb.Blueprint( |
| 86 | + rrb.Grid( |
| 87 | + contents=[rrb.Spatial3DView(origin=path, contents="/**") for path in entity_paths[: args.num_views]] |
| 88 | + ), |
| 89 | + collapse_panels=True, # Collapse panels, so perf is mostly about the data & the views. |
| 90 | + ) |
| 91 | + ) |
| 92 | + |
| 93 | + |
| 94 | +if __name__ == "__main__": |
| 95 | + main() |
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