bones-seed-g1 / scripts /validate_npz.py
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Add portable BONES-SEED G1 MT and Isaac converters
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#!/usr/bin/env python3
"""Validate MT and Isaac NPZ files produced by this repository."""
from __future__ import annotations
import argparse
from pathlib import Path
import numpy as np
from converter_common import MT_BODY_NAMES, MT_JOINT_NAMES
MT_FIELDS = {
"root_pos",
"root_rot",
"dof_pos",
"local_body_pos",
"joint_names",
"body_names",
"fps",
}
ISAAC_FIELDS = {
"fps",
"joint_pos",
"joint_vel",
"body_pos_w",
"body_quat_w",
"body_lin_vel_w",
"body_ang_vel_w",
}
def infer_format(keys: set[str]) -> str:
if MT_FIELDS.issubset(keys):
return "mt"
if ISAAC_FIELDS.issubset(keys):
return "isaac"
raise ValueError(f"Cannot infer format from fields: {sorted(keys)}")
def require_shape(
data: np.lib.npyio.NpzFile,
name: str,
expected: tuple[int, ...],
) -> None:
actual = data[name].shape
if actual != expected:
raise ValueError(f"{name}: expected shape {expected}, found {actual}")
def require_float32(data: np.lib.npyio.NpzFile, fields: list[str]) -> None:
for name in fields:
if data[name].dtype != np.float32:
raise ValueError(
f"{name}: expected dtype float32, found {data[name].dtype}"
)
if not np.isfinite(data[name]).all():
raise ValueError(f"{name}: contains NaN or Inf")
def validate_mt(data: np.lib.npyio.NpzFile) -> None:
missing = MT_FIELDS - set(data.files)
if missing:
raise ValueError(f"Missing MT fields: {sorted(missing)}")
frame_count = data["dof_pos"].shape[0]
if frame_count < 1:
raise ValueError("MT motion contains no frames")
require_shape(data, "root_pos", (frame_count, 3))
require_shape(data, "root_rot", (frame_count, 4))
require_shape(data, "dof_pos", (frame_count, 29))
require_shape(data, "local_body_pos", (frame_count, 27, 3))
require_shape(data, "joint_names", (29,))
require_shape(data, "body_names", (27,))
require_shape(data, "fps", (1,))
require_float32(
data, ["root_pos", "root_rot", "dof_pos", "local_body_pos"]
)
if data["fps"].dtype != np.int64 or int(data["fps"][0]) <= 0:
raise ValueError("fps must be a positive int64 array with shape (1,)")
if data["joint_names"].tolist() != MT_JOINT_NAMES:
raise ValueError("joint_names does not match the MT joint order")
if data["body_names"].tolist() != MT_BODY_NAMES:
raise ValueError("body_names does not match the MT body order")
quat_norm = np.linalg.norm(data["root_rot"], axis=-1)
if not np.allclose(quat_norm, 1.0, atol=1e-4):
raise ValueError("root_rot contains non-unit quaternions")
if not np.allclose(data["local_body_pos"][:, 0], 0.0, atol=1e-4):
raise ValueError("pelvis local_body_pos is not approximately zero")
def validate_isaac(data: np.lib.npyio.NpzFile) -> None:
missing = ISAAC_FIELDS - set(data.files)
if missing:
raise ValueError(f"Missing Isaac fields: {sorted(missing)}")
frame_count = data["joint_pos"].shape[0]
if frame_count < 1:
raise ValueError("Isaac motion contains no frames")
require_shape(data, "fps", (1,))
require_shape(data, "joint_pos", (frame_count, 29))
require_shape(data, "joint_vel", (frame_count, 29))
require_shape(data, "body_pos_w", (frame_count, 30, 3))
require_shape(data, "body_quat_w", (frame_count, 30, 4))
require_shape(data, "body_lin_vel_w", (frame_count, 30, 3))
require_shape(data, "body_ang_vel_w", (frame_count, 30, 3))
require_float32(
data,
[
"joint_pos",
"joint_vel",
"body_pos_w",
"body_quat_w",
"body_lin_vel_w",
"body_ang_vel_w",
],
)
if data["fps"].dtype != np.int64 or int(data["fps"][0]) <= 0:
raise ValueError("fps must be a positive int64 array with shape (1,)")
quat_norm = np.linalg.norm(data["body_quat_w"], axis=-1)
if not np.allclose(quat_norm, 1.0, atol=1e-4):
raise ValueError("body_quat_w contains non-unit quaternions")
if not np.allclose(
data["body_pos_w"][:, 0], data["body_pos_w"][:, 3], atol=1e-6
):
raise ValueError("pelvis_contour_link must duplicate pelvis position")
if not np.allclose(
data["body_quat_w"][:, 0], data["body_quat_w"][:, 3], atol=1e-6
):
raise ValueError("pelvis_contour_link must duplicate pelvis rotation")
def validate_file(path: Path, expected_format: str) -> str:
with np.load(path, allow_pickle=False) as data:
actual_format = infer_format(set(data.files))
if expected_format != "auto" and actual_format != expected_format:
raise ValueError(
f"expected {expected_format}, inferred {actual_format}"
)
if actual_format == "mt":
validate_mt(data)
else:
validate_isaac(data)
return actual_format
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Validate MT/Isaac NPZ files")
parser.add_argument("path", type=Path, help="NPZ file or directory")
parser.add_argument(
"--format", choices=("auto", "mt", "isaac"), default="auto"
)
parser.add_argument(
"--limit", type=int, help="Validate only the first N files"
)
return parser.parse_args()
def main() -> None:
args = parse_args()
target = args.path.expanduser().resolve()
if target.is_file():
paths = [target]
elif target.is_dir():
paths = sorted(target.rglob("*.npz"))
else:
raise SystemExit(f"Path not found: {target}")
if args.limit is not None:
if args.limit <= 0:
raise SystemExit("--limit must be positive")
paths = paths[: args.limit]
if not paths:
raise SystemExit(f"No NPZ files found: {target}")
failures = []
counts = {"mt": 0, "isaac": 0}
for path in paths:
try:
actual_format = validate_file(path, args.format)
counts[actual_format] += 1
except Exception as error:
failures.append((path, error))
print(f"FAIL\t{path}\t{error}")
print(
f"Validated {len(paths)} file(s): "
f"mt={counts['mt']}, isaac={counts['isaac']}, "
f"failed={len(failures)}"
)
if failures:
raise SystemExit(1)
if __name__ == "__main__":
main()