#!/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()