Mimir/scripts/sensor_fusion.py
2026-05-19 09:23:17 +01:00

82 lines
2.6 KiB
Python

import argparse
import json
from pathlib import Path
import sys
ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
from localcast.sensor_fusion import (
Observation2D,
PointCloud,
RenderBridgeConfig,
TrackCache,
load_fusion_config,
lower_points_to_render_frame,
)
from localcast.diagnostics.render_frame_json import write_render_frame_json
def load_observations(path: Path) -> list[Observation2D]:
data = json.loads(path.read_text(encoding="utf-8"))
if isinstance(data, dict):
data = data.get("observations", [])
return [Observation2D.from_dict(item) for item in data]
def fuse_file(args) -> None:
config_path = Path(args.config)
config_data = json.loads(config_path.read_text(encoding="utf-8"))
rig = load_fusion_config(config_path)
observations = load_observations(Path(args.observations))
result = rig.fuse(observations)
cache = TrackCache(ttl_ns=rig.config.cache_ttl_ns)
for point in result.points:
cache.update(point)
if args.now_ns is not None:
cache.expire(args.now_ns)
cloud = PointCloud(cache.points())
output = Path(args.output)
cloud.write_ply(output)
render_frame_output = None
if args.render_frame_json:
render_config = RenderBridgeConfig.from_dict(config_data.get("render_bridge", {}))
frame = lower_points_to_render_frame(
cloud.points,
render_config,
frame_id=args.frame_id,
created_monotonic_ns=args.created_ns,
)
render_frame_output = Path(args.render_frame_json)
write_render_frame_json(render_frame_output, frame)
summary = {
"output": str(output),
"render_frame_json": None if render_frame_output is None else str(render_frame_output),
"points": len(cloud.points),
"dropped": list(result.dropped),
}
print(json.dumps(summary, indent=2))
def main() -> None:
parser = argparse.ArgumentParser(description="Build sparse point clouds from calibrated sensor observations.")
sub = parser.add_subparsers(required=True)
p = sub.add_parser("fuse-file")
p.add_argument("--config", default=str(ROOT / "config" / "sensor-fusion.example.json"))
p.add_argument("--observations", required=True)
p.add_argument("--output", required=True)
p.add_argument("--now-ns", type=int)
p.add_argument("--render-frame-json")
p.add_argument("--frame-id", type=int, default=0)
p.add_argument("--created-ns", type=int, default=0)
p.set_defaults(func=fuse_file)
args = parser.parse_args()
args.func(args)
if __name__ == "__main__":
main()