openpi / droid /scripts /debug_wrist_projection.py
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#!/usr/bin/env python3
"""Overlay wrist gripper projections (compare inv / direct extrinsic, K sources).
Usage:
cd openpi/droid
../.venv/bin/python scripts/debug_wrist_projection.py \\
--h5 /z/home/zhicao/droid_raw/.../trajectory.h5 \\
--out /tmp/wrist_proj_debug.jpg
"""
from __future__ import annotations
import argparse
import json
import sys
from pathlib import Path
import cv2
import h5py
import numpy as np
_DROID = Path(__file__).resolve().parents[1]
for p in (_DROID.parent / "third_party", _DROID.parent / "third_party" / "libero", _DROID):
ps = str(p)
if p.exists() and ps not in sys.path:
sys.path.insert(0, ps)
if str(_DROID) not in sys.path:
sys.path.insert(0, str(_DROID))
from utils.camera_geometry import ( # noqa: E402
DROID_NATIVE_HW,
GRIPPER_OFFSETS,
pose6_to_matrix,
project_gripper_mesh,
project_gripper_mesh_wrist,
scale_pixels_between_hw,
)
from utils.karlp_calib import KarlpCalibStore, episode_id_from_metadata # noqa: E402
from utils.raw_episode_loader import _load_episode # noqa: E402
from utils.zed_intrinsics import default_K_native, default_dist_native, zed_model_for_camera_type # noqa: E402
def _project_manual(
cart6: np.ndarray,
ext6: np.ndarray,
K: np.ndarray,
*,
use_inv: bool,
) -> np.ndarray:
from scipy.spatial.transform import Rotation
c = np.asarray(cart6, dtype=np.float64).reshape(-1)
R_wg = Rotation.from_euler("xyz", c[3:6]).as_matrix()
world = (R_wg @ GRIPPER_OFFSETS.T).T + c[:3]
T = pose6_to_matrix(ext6)
w2c = np.linalg.inv(T) if use_inv else T
pix = []
for p in world:
pc = (w2c @ np.concatenate([p, [1.0]]))[:3]
u = K @ pc
pix.append(u[:2] / u[2])
return np.asarray(pix, dtype=np.float64)
def main() -> None:
p = argparse.ArgumentParser()
p.add_argument("--h5", type=str, required=True)
p.add_argument("--t", type=int, default=0)
p.add_argument("--size", type=int, default=448)
p.add_argument("--karlp-calib-dir", type=str, default="")
p.add_argument("--out", type=str, default="wrist_proj_debug.jpg")
args = p.parse_args()
h5_path = Path(args.h5).expanduser().resolve()
meta_paths = sorted(h5_path.parent.glob("metadata_*.json"))
if not meta_paths:
raise SystemExit(f"No metadata_*.json next to {h5_path}")
meta = json.loads(meta_paths[0].read_text(encoding="utf-8"))
episode_id = episode_id_from_metadata(meta_paths[0], meta)
karlp = None
kdir = args.karlp_calib_dir.strip()
if not kdir:
default = _DROID / "calibration" / "karlp"
if (default / "cam2base_extrinsics.json").is_file():
kdir = str(default)
if kdir:
karlp = KarlpCalibStore(kdir)
ep = _load_episode(h5_path, 0, karlp=karlp, preset_episode_id=episode_id)
if ep is None:
raise SystemExit("Failed to load episode (KarlP filter or missing MP4)")
t = int(np.clip(args.t, 0, len(ep.cartesian) - 1))
s = int(args.size)
out_hw = (s, s)
frame = cv2.resize(ep.wrist_images[t], (s, s))
vis = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
model = zed_model_for_camera_type(ep.wrist_camera_type)
K_zed = default_K_native(model)
dist_zed = default_dist_native(model)
K_karlp, dist_karlp = K_zed, dist_zed
if karlp is not None:
parsed = karlp.intrinsics_for_serial(ep.episode_id, ep.wrist_serial)
if parsed is not None:
K_karlp, dist_karlp = parsed
cart = ep.cartesian[t]
ext = ep.wrist_extrinsics[t]
go = ep.wrist_gripper_offset[t]
with h5py.File(h5_path, "r") as f:
has_action = "action/robot_state/cartesian_position" in f
cart_action = (
np.asarray(f["action/robot_state/cartesian_position"], dtype=np.float64)[t]
if has_action
else None
)
layers: list[tuple[str, tuple[int, int, int], np.ndarray]] = []
pix_wrist, _ = project_gripper_mesh_wrist(cart, ext, go, K=K_karlp, dist=dist_karlp)
layers.append(
(
"wrist mesh (fixed)",
(0, 255, 0),
scale_pixels_between_hw(pix_wrist, DROID_NATIVE_HW, out_hw),
)
)
for label, K, dist, use_inv in [
("inv_no_offset", K_karlp, dist_karlp, True),
("direct_no_offset", K_karlp, dist_karlp, False),
]:
pix, _ = project_gripper_mesh(cart, ext, K=K, dist=dist)
pix_s = scale_pixels_between_hw(pix, DROID_NATIVE_HW, out_hw)
layers.append((label, (0, 0, 255), pix_s))
manual = _project_manual(cart, ext, K, use_inv=use_inv)
manual_s = scale_pixels_between_hw(manual, DROID_NATIVE_HW, out_hw)
layers.append((f"{label}_manual", (255, 0, 0), manual_s))
if cart_action is not None:
pix_a, _ = project_gripper_mesh(cart_action, ext, K=K_karlp, dist=dist_karlp)
layers.append(
("action_cart", (0, 255, 0), scale_pixels_between_hw(pix_a, DROID_NATIVE_HW, out_hw))
)
y0 = 20
for label, color, pts in layers:
cv2.putText(vis, label, (8, y0), cv2.FONT_HERSHEY_SIMPLEX, 0.45, color, 1, cv2.LINE_AA)
y0 += 16
for i, (x, y) in enumerate(pts):
if 0 <= x < s and 0 <= y < s:
cv2.circle(vis, (int(round(x)), int(round(y))), 4, color, -1)
if label.startswith("wrist+offset"):
cv2.putText(
vis,
str(i),
(int(round(x)) + 3, int(round(y)) - 3),
cv2.FONT_HERSHEY_SIMPLEX,
0.35,
(255, 255, 255),
1,
cv2.LINE_AA,
)
out_path = Path(args.out).expanduser().resolve()
out_path.parent.mkdir(parents=True, exist_ok=True)
cv2.imwrite(str(out_path), vis)
print(f"Wrote {out_path}")
print(f" episode_id={ep.episode_id} wrist_serial={ep.wrist_serial} t={t}")
print(f" extrinsic_source={ep.extrinsic_source.get('wrist')}")
print(" Green=wrist mesh (inv(c2w)@T_eef@mesh, same as exterior; preprocess uses this).")
print(" Red/blue=legacy debug paths (inv vs direct extrinsic, no mesh).")
if __name__ == "__main__":
main()