DROID-Sim / package /tools /export_parameters.py
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"""Export final GLB transforms and provenance-aware physics inputs.
Friction values are explicit language-model priors, not fitted measurements.
Missing/unregistered colliders remain disabled; this script does not invent them.
"""
import argparse
import json
from pathlib import Path
import re
import numpy as np
import trimesh
import yaml
from package_trajectories import digest, write_json
def read(path):
return json.loads(path.read_text()) if path.exists() else {}
def friction_prior(name):
text = name.lower()
if any(w in text for w in ('cloth', 'towel', 'fabric', 'sponge', 'rubber')):
return dict(static=0.8, dynamic=0.6, assumed_material='soft_or_rubber_like')
if any(w in text for w in ('glass', 'metal', 'steel', 'pan', 'pot', 'spoon')):
return dict(static=0.4, dynamic=0.3, assumed_material='smooth_rigid')
return dict(static=0.6, dynamic=0.5, assumed_material='unspecified_rigid_surface')
def world_geometry(scene, node):
mat, geom = scene.graph[node]
mesh = scene.geometry[geom]
return mesh, trimesh.transform_points(mesh.vertices, mat), mat
def fit_collision_frame(mesh_path, target):
source = trimesh.load(mesh_path, force='scene', process=False)
vertices = np.concatenate([world_geometry(source, n)[1] for n in source.graph.nodes_geometry])
if vertices.shape != target.shape:
return None, 'vertex_count_mismatch'
select = np.linspace(0, len(vertices) - 1, min(len(vertices), 10000), dtype=int)
a = np.column_stack([vertices[select], np.ones(len(select))])
coeff, _, rank, _ = np.linalg.lstsq(a, target[select], rcond=None)
if rank < 4:
return None, 'rank_deficient_correspondence'
matrix = np.eye(4)
matrix[:3] = coeff.T
error = float(np.linalg.norm(trimesh.transform_points(vertices, matrix) - target, axis=1).max())
if error > 2e-5:
return None, f'vertex_correspondence_error_{error:.6g}'
return matrix.tolist(), dict(max_vertex_error_scene_units=error, method='same_index_affine_fit_to_final_glb')
def export(scene):
glb = scene / 'fully_refined_foreground.glb'
meshes = trimesh.load(glb, force='scene', process=False)
metadata = {int(o['id']): o for o in read(scene / 'sam3d/object_metadata.json').get('objects', [])}
recovered = read(scene / 'physics/colliders/manifest.json').get('objects', {})
objects = []
for node in meshes.graph.nodes_geometry:
match = re.fullmatch(r'(?:obj|object)_(\d+)(?:_geometry_\d+)?', node)
oid = int(match[1]) if match else None
meta = metadata.get(oid, {})
name = meta.get('name', node)
mesh, target, mat = world_geometry(meshes, node)
obj_dir = scene / 'refinement/sf_real2sim/results' / f'obj_{oid}'
parts = sorted((obj_dir / 'collision').glob('collision_part_*.glb'))
mesh_path = obj_dir / 'mesh_scaled.glb'
collision_transform, evidence = (None, 'no_retained_collision_input')
if parts and mesh_path.is_file():
collision_transform, evidence = fit_collision_frame(mesh_path, target)
retained_record = recovered.get(node)
if retained_record:
assert retained_record['foreground_sha256'] == digest(glb), 'Recovered collider refers to changed foreground'
artifacts = retained_record['artifacts']
mesh_path = scene / artifacts['mesh_scaled.glb']['path']
parts = [scene / v['path'] for k, v in sorted(artifacts.items()) if k.startswith('collision_part_')]
assert all(digest(scene / v['path']) == v['sha256'] for v in artifacts.values()), 'Retained collider checksum mismatch'
collision_transform, evidence = fit_collision_frame(mesh_path, target)
assert collision_transform is not None, 'Retained collider registration no longer valid'
prior = friction_prior(name)
prior.update(provenance='language_model_material_class_prior', measured=False, optimized=False,
confidence='low', combination_rule='average',
caveat='Pair-dependent coefficient; validate on contacts before dynamic tasks.')
objects.append(dict(id=oid, name=name, node=node,
visual=dict(path='fully_refined_foreground.glb', geometry=meshes.graph[node][1],
transform_world_from_node=mat.tolist(), vertices=len(mesh.vertices),
world_bounds=np.stack([target.min(axis=0), target.max(axis=0)]).tolist()),
support_parent_id=meta.get('support_parent_id'), support_relation=meta.get('support_relation'),
collision=dict(parts=[str(p.relative_to(scene)) for p in parts],
input_mesh=str(mesh_path.relative_to(scene)) if mesh_path.is_file() else None,
transform_world_from_collision=collision_transform,
registration_evidence=evidence,
load_validated=False, cavity_validated=False,
enabled_for_replay=False),
friction=prior, restitution=dict(value=0.0, provenance='conservative_replay_prior'),
mass_kg=None, mass_provenance='not_measured',
dynamic_enabled=False))
native = read(scene / 'refinement/status.json')
physics = dict(format='droid_sim_physics_v1', scene=scene.name,
geometry_authority='fully_refined_foreground.glb', foreground_sha256=digest(glb),
units=dict(scene_length='reconstruction_units', meters_per_scene_unit=None,
metric_scale_verified=False),
gravity=dict(vector_si_m_s2=[0.0, 0.0, -9.81], frame='gravity_aligned_scene',
provenance='earth_gravity_default_not_fitted', enabled=False,
enable_condition='Establish metric scale and validate colliders before dynamic replay'),
camera_contract='render/scene.json' if (scene / 'render/scene.json').exists() else None,
trajectory_manifest='trajectory/manifest.json',
validation=dict(visual_review='accepted_by_user', physics_revalidated=False,
native_status=native),
metadata_ids_not_in_final_glb=sorted(set(metadata) - {o['id'] for o in objects}), objects=objects)
(scene / 'parameters.yaml').write_text(yaml.safe_dump(physics, sort_keys=False, allow_unicode=True))
return dict(scene=scene.name, final_objects=len(objects),
collider_objects_retained=sum(bool(o['collision']['parts']) for o in objects),
collider_objects_registered=sum(o['collision']['transform_world_from_collision'] is not None for o in objects),
metadata_ids_not_in_final_glb=physics['metadata_ids_not_in_final_glb'],
physics_validated=False)
def main():
p = argparse.ArgumentParser(description=__doc__)
p.add_argument('--dataset', type=Path, default=Path(__file__).resolve().parents[2] / 'batch_1st_scene')
p.add_argument('--report', type=Path, required=True)
args = p.parse_args()
rows = []
for scene in sorted(args.dataset.iterdir()):
if not scene.is_dir() or not scene.name[:4].isdigit():
continue
try:
row = export(scene)
except Exception as e:
row = dict(scene=scene.name, error=f'{type(e).__name__}: {e}')
rows.append(row)
print(json.dumps(row), flush=True)
args.report.parent.mkdir(parents=True, exist_ok=True)
write_json(args.report, dict(total=len(rows), scenes=rows))
if __name__ == '__main__':
main()