React / scripts /test_frames.py
yxma's picture
refresh the published scripts and USAGE.md from the repo
efd9922 verified
Raw
History Blame Contribute Delete
12.4 kB
"""The up-axis conversion moves poses and cameras as ONE piece.
A world-frame rotation applied to the poses but not to `T_mocap_to_cam` — or
with the inverse the wrong way round — moves every projection and raises
nothing. The numbers stay plausible. So the test is INVARIANCE: convert both,
and every projected pixel must be unchanged.
It also pins the direction. Two rotations take Y-up to Z-up with det +1; the
wrong one leaves the world upside down and no handedness check notices.
python scripts/test_frames.py
"""
from __future__ import annotations
import shutil
import sys
import tempfile
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
sys.path.insert(0, str(Path(__file__).resolve().parents[2]))
from react_paths import force_meta, release_root # noqa: E402
import numpy as np # noqa: E402
import pyarrow.parquet as pq # noqa: E402
RESULTS: list[tuple[bool, str, str]] = []
def check(ok: bool, name: str, evidence: str) -> None:
RESULTS.append((bool(ok), name, evidence))
def main() -> int:
from react_toolbox.calibration import load_calibration, project_gel_to_pixel
from react_toolbox.frames import (UP_AXIS_RECORDED, YUP_TO_ZUP, ZUP_TO_YUP,
convert_calibration, convert_poses, to_zup)
from react_toolbox.frames import require_up_axis
from scipy.spatial.transform import Rotation
from twm.calib_epoch import calib_dir
# The calibration must come from the SAME tree as the poses below. It used
# to come from calib_dir(), a separate tree that REACT_CALIB can redirect;
# after the release was rotated to Z-up and that tree was not, this file
# was silently testing a mismatched pair and still printing all-green.
cal = load_calibration(release_root("motherboard"))
require_up_axis(cal, where="the release")
p = sorted(force_meta("motherboard").glob("*/*.parquet"))[0]
t = pq.read_table(p, columns=["sensor_left_pose"]).to_pydict()
P = np.asarray([x for x in t["sensor_left_pose"]], float)
P = P[np.isfinite(P).all(1) & (np.linalg.norm(P[:, 3:], axis=1) > .5)][:400]
# 0 — MEASURE the up axis from the data, do not restate it. This check
# used a literal normal from an earlier run and kept asserting the old
# convention after the release was converted — a constant that had
# stopped describing anything.
tt = pq.read_table(p).to_pydict()
O = np.asarray([x for x in tt["object_pose"]], float)
S = np.asarray([x for x in tt["sensor_left_pose"]], float)
F = np.asarray(tt.get("force_left_normal_n", np.zeros(len(S))), float)
ok_ = ((F > 2) & np.isfinite(S).all(1) & np.isfinite(O).all(1)
& (np.linalg.norm(O[:, 3:], axis=1) > .5))
Ro = Rotation.from_quat(O[ok_, 3:7]).as_matrix()
Rs = Rotation.from_quat(S[ok_, 3:7]).as_matrix()
g = S[ok_, :3]*1000 + np.einsum("nij,j->ni", Rs, cal["gel_left"])
Cb = np.einsum("nji,nj->ni", Ro, g - O[ok_, :3]*1000)
nl = np.linalg.svd(Cb - Cb.mean(0))[2][2]
nw = np.einsum("nij,j->ni", Ro, nl)
k = int(np.argmax(np.abs(np.median(nw, axis=0))))
nw *= np.sign(np.median(nw[:, k]))
normal = np.median(nw, axis=0); normal /= np.linalg.norm(normal)
measured = "xyz"[int(np.argmax(np.abs(normal)))]
# 1 — the conversion is a rotation, and it sends UP to +z rather than -z
det = float(np.linalg.det(YUP_TO_ZUP))
yup_normal = normal if measured == "y" else ZUP_TO_YUP @ normal
up = YUP_TO_ZUP @ yup_normal
check(abs(det - 1) < 1e-12 and up[2] > 0.99,
"the conversion is right-handed and sends up to +z",
f"det {det:+.0f}; the table normal expressed Y-up "
f"{np.round(yup_normal, 3).tolist()} maps to {np.round(up, 3).tolist()}")
# 2 — THE INVARIANT. The release is a matched Z-up pair; rotate it back to
# the recorded Y-up, forward again with to_zup(), and every pixel must
# land where the release puts it.
yP = convert_poses(P, to_zup=False)
ycal = convert_calibration(cal, to_zup=False)
zP, zcal = to_zup(yP, ycal)
worst = 0.0
n = 0
for v in ("left", "middle", "right"):
for a, b in zip(P[::13], zP[::13]):
ua = project_gel_to_pixel(a, cal["gel_left"], cal["cams"][v])
ub = project_gel_to_pixel(b, zcal["gel_left"], zcal["cams"][v])
if ua is None or ub is None:
continue
n += 1
worst = max(worst, float(np.hypot(ua[0]-ub[0], ua[1]-ub[1])))
check(n > 50 and worst < 1e-9,
"converting poses AND cameras leaves every projection identical",
f"{n} projections across 3 views, worst movement {worst:.2e} px")
# 3 — AND HALF-APPLYING IT BREAKS THINGS. If this passes silently, the
# invariance above proves nothing.
# This is exactly the bug it exists to catch: Z-up poses, Y-up calibration.
half = 0.0
for a in P[::13]:
ua = project_gel_to_pixel(a, cal["gel_left"], cal["cams"]["middle"])
ub = project_gel_to_pixel(a, ycal["gel_left"], ycal["cams"]["middle"])
if ua is None or ub is None:
continue
half = max(half, float(np.hypot(ua[0]-ub[0], ua[1]-ub[1])))
check(half > 50.0,
"converting the poses alone moves the projection a lot",
f"poses converted, calibration left alone: up to {half:.0f} px — "
f"which is why the two are converted together or not at all")
# 4 — round trip
back = convert_poses(zP, to_zup=False)
dp = float(np.abs(back[:, :3] - yP[:, :3]).max())
da = float(np.degrees((Rotation.from_quat(back[:, 3:7]).inv()
* Rotation.from_quat(yP[:, 3:7])).magnitude()).max())
check(dp < 1e-12 and da < 1e-9, "the conversion round-trips",
f"worst {dp:.2e} m and {da:.2e} deg over {len(P)} poses")
# 5 — the declared convention is the one the data actually has, measured
check(UP_AXIS_RECORDED == measured and normal["xyz".index(measured)] > 0,
"the declared convention is the one the data actually has",
f"UP_AXIS_RECORDED={UP_AXIS_RECORDED!r}; measured table normal "
f"{np.round(normal, 3).tolist()} -> +{measured}, "
f"{np.degrees(np.arccos(abs(normal['xyz'.index(measured)]))):.1f} deg off")
# 6 — the gizmo has to FIT. Its whole job is to be readable, and the axis
# that points straight up is the one whose label runs off the top edge.
from react_toolbox.viz import draw_world_gizmo
frame = np.zeros((480, 640, 3), np.uint8)
bad = []
for name, c in cal["cams"].items():
R = np.asarray(c["T_mocap_to_cam"], float)[:3, :3]
for i, ax in enumerate("xyz"):
d = R @ np.eye(3)[i]
if float(np.hypot(d[0], d[1])) <= 0.12:
continue # drawn as a dot at the origin
ox = oy = 12 + 44 + 22 # draw_world_gizmo's tl origin
lx = ox + float(d[0]) * (44 + 13)
ly = oy + float(d[1]) * (44 + 13)
# the label glyph reaches ~8 px above its anchor and ~6 below
if not (10 <= lx <= 630 and 10 <= ly <= 474):
bad.append(f"{name}.{ax} label at ({lx:.0f},{ly:.0f})")
_ = draw_world_gizmo(frame, cal["cams"]["middle"], corner="tl",
title="world (z-up)")
check(not bad, "every gizmo axis label lands inside the frame",
"all 3 cameras, all in-plane axes fit"
if not bad else "clipped: " + "; ".join(bad))
# 7 — a calibration can be ASKED for a convention. Twelve scripts paired a
# Z-up pose source with a Y-up calibration because each one picked a
# directory and hoped. Asking removes the hope.
from react_toolbox.frames import as_up_axis
ycal2 = as_up_axis(cal, "y")
zcal2 = as_up_axis(ycal2, "z")
idem = as_up_axis(cal, "z")
dz = max(float(np.abs(np.asarray(zcal2["cams"][v]["T_mocap_to_cam"]) -
np.asarray(cal["cams"][v]["T_mocap_to_cam"])).max())
for v in cal["cams"])
di = max(float(np.abs(np.asarray(idem["cams"][v]["T_mocap_to_cam"]) -
np.asarray(cal["cams"][v]["T_mocap_to_cam"])).max())
for v in cal["cams"])
dy = max(float(np.abs(np.asarray(ycal2["cams"][v]["T_mocap_to_cam"]) -
np.asarray(ycal["cams"][v]["T_mocap_to_cam"])).max())
for v in cal["cams"])
check(dz < 1e-12 and di < 1e-12 and dy < 1e-12
and ycal2["up_axis"] == "y" and zcal2["up_axis"] == "z",
"as_up_axis converts on demand and is a no-op when it already fits",
f"z->y->z {dz:.1e}, already-z {di:.1e}, matches convert_calibration "
f"{dy:.1e}; declarations {ycal2['up_axis']}/{zcal2['up_axis']}")
# 8 — the raw-H5 offset. episodes.jsonl now stores it Z-up, but its whole
# documented purpose is to be ADDED to a pose read out of the source
# H5, which is Y-up. Handing the stored value straight to a raw
# consumer puts 175 mm on the wrong axis, twice.
from twm.calib_epoch import world_offset_m
oz = world_offset_m("motherboard", "2026-05-19", "episode_002", up_axis="z")
oy = world_offset_m("motherboard", "2026-05-19", "episode_002", up_axis="y")
check(np.allclose(oz, (0.23, -0.175, 0.0), atol=1e-9)
and np.allclose(oy, (0.23, 0.0, 0.175), atol=1e-9),
"world_offset_m answers in the convention the caller asks for",
f"z-up {tuple(round(x, 4) for x in oz)}, "
f"y-up {tuple(round(x, 4) for x in oy)}")
# 9 — the raw-HDF5 viewers must not be handed the converted release.
# calib_dir() resolves $REACT_RELEASE BEFORE the repo's own Y-up tree,
# and that directory is now Z-up. Every interactive viewer reads Y-up
# poses straight out of the H5, so the moment a user exports
# REACT_RELEASE -- which react_paths documents as the normal way to
# point at the data -- they would silently view through a 200 px error.
import os as _os
from twm.calib_epoch import calib_dir as _cd
_old = _os.environ.get("REACT_RELEASE")
_os.environ["REACT_RELEASE"] = str(release_root())
try:
try:
_cd("motherboard", up_axis="y")
raised = ""
except Exception as ex:
raised = f"{type(ex).__name__}: {str(ex)[:60]}"
got_z = _cd("motherboard", up_axis="z")
finally:
if _old is None:
_os.environ.pop("REACT_RELEASE", None)
else:
_os.environ["REACT_RELEASE"] = _old
check(raised.startswith("ValueError") and got_z.is_dir(),
"a Y-up caller is refused the Z-up release calibration",
f"asking for y-up raised [{raised}]; asking for z-up returned "
f"{got_z.name}/")
# 10 — a column with NOTHING tracked in it must convert, not explode.
# pushT never tracked an object body, so its whole object_pose column
# is NaN. The valid-row mask then selects zero rows and scipy raises
# "Found zero norm quaternions" on the empty array -- which is how
# the pushT half of the release went unconverted long enough to ship
# beside a Z-up motherboard.
allnan = np.full((5, 7), np.nan)
mixed = np.vstack([allnan[:2], P[:3]])
try:
a1 = convert_poses(allnan, True)
a2 = convert_poses(mixed, True)
err = ""
except Exception as ex:
a1 = a2 = None
err = f"{type(ex).__name__}: {ex}"
ok10 = (err == "" and a1.shape == (5, 7) and np.isnan(a1).all()
and np.isnan(a2[:2]).all()
and np.allclose(a2[2:], convert_poses(P[:3], True)))
check(ok10,
"an all-NaN pose column converts to all-NaN instead of raising",
"5 untracked rows pass through; a mixed array converts only its "
"tracked rows and leaves the rest NaN"
if ok10 else (err or "shape or values wrong"))
w = max(len(x) for _, x, _ in RESULTS)
print()
for ok, name, ev in RESULTS:
print(f" [{'ok' if ok else 'FAIL'}] {name:<{w}} {ev}")
nf = sum(not x for x, _, _ in RESULTS)
print(f"\nframes: {len(RESULTS)} checks, {nf} failing")
return 1 if nf else 0
if __name__ == "__main__":
raise SystemExit(main())