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56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c 2de4806 56e696c efd9922 56e696c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 | """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())
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