state the finger 3D camera presets in the design export's frame

The default view came from the mesh's own face normal and sat 24.6 degrees off the
design export's frame; re-applying any preset also adopted its baked distance, so the
part overflowed the viewport (measured 2.16 x 2.12 of it). Presets are now the frame's
own views, every preset is reframed through the pane's existing fit, and that fit
projects the model's bounds instead of a bounding sphere. Verified: the frame axes map
to screen up, left and viewer to 1e-6, the model fills 0.60-0.95 of the viewport at two
sizes, and the recompiled package keeps its geometry, domain and source-geometry ids.
This commit is contained in:
ykcheungab
2026-10-01 16:56:36 +08:00
parent eb70ac7638
commit 9b1a3fb922
8 changed files with 843 additions and 73 deletions
+115 -46
View File
@@ -9,6 +9,15 @@ Conventions (design document §3.1): sensor frame, right-handed, metres; column
vectors, so ``p_camera = view @ p_sensor`` and ``p_clip = projection @ p_camera``.
The view matrix is built from a target, a distance and two angles, which is what
makes orbit/pan/zoom trivial and keeps "reset" exact rather than approximate.
The two angles are measured in a **turntable frame**: a pole (the axis the current
view calls up) and two axes spanning the plane perpendicular to it. The pole is the
applied preset's own ``up``, so the design export's +Z is the pole for every view
that has it as its up — a drag then spins the part about the axis the picture calls
vertical, instead of about the sensor's own Z, which is *not* vertical for this
export. Keeping the pole out of the sensor's axes is also what lets a preset looking
straight down the frame's up (``top``) be reproduced exactly: with the sensor's Z as
the pole it would land on the pole and a drag would have nowhere to go.
"""
from __future__ import annotations
@@ -23,13 +32,16 @@ from orisys_app_shared.scene3d.contracts import (
CameraPreset,
freeze,
)
from orisys_app_shared.scene3d.framing import fit_distance_m, screen_basis
#: Distance limits, in metres: close enough to inspect a 20 mm part, far enough
#: not to lose a 10 cm one. The far plane follows the distance, so precision stays
#: usable at both ends instead of being decided once.
MIN_DISTANCE_M = 0.005
MAX_DISTANCE_M = 5.0
#: Radians per pixel of drag, and the pitch limit that keeps the up vector sane.
#: Radians per pixel of drag, and the limit that keeps the pole out of the picture
#: plane: at exactly 90° off the turntable's equator the reference up is parallel to
#: the view direction, so the up vector would have to be invented.
ORBIT_RAD_PER_PX = 0.008
MAX_PITCH_RAD = math.radians(89.0)
#: Zoom per wheel step.
@@ -53,30 +65,50 @@ class OrbitCamera:
aspect: float = 1.0
_fitted_radius_m: float = 0.05
_preset_name: str | None = None
#: The turntable frame: ``_pole_sensor`` is the axis the angles are measured
#: against (the current view's up) and the other two span the plane across it.
#: They are aimed by :meth:`set_preset`; a camera nobody has given a preset keeps
#: the sensor's own basis, which is what ``reset`` returns to.
_pole_sensor: np.ndarray | None = None
_e1_sensor: np.ndarray | None = None
_e2_sensor: np.ndarray | None = None
def __post_init__(self) -> None:
self.up_sensor = _unit(self.up_sensor, np.array([0.0, 0.0, 1.0]))
if self._pole_sensor is None:
# The sensor basis, with yaw = pitch = 0 looking along -Y: the direction a
# camera starts in when no asset has said otherwise.
self._aim_turntable(
np.array([0.0, 0.0, 1.0], dtype=np.float64),
np.array([0.0, -1.0, 0.0], dtype=np.float64),
)
# ------------------------------------------------------------------- setup
def fit(self, bounds_sensor_m: F32, aspect: float) -> None:
"""Frame the whole scene from the bounds, without changing the angles.
The distance is derived from the bounding sphere and the *narrower* of the
two field-of-view axes, so a wide window does not clip the model
vertically while a tall one does not clip it horizontally.
The distance is the one ``framing.fit_distance_m`` solves for: the box's own
corners projected into this camera's frame, so the binding axis lands on
``FILL_FRACTION`` of the viewport and nothing is clipped. A bounding *sphere*
would leave a square-ish part filling barely half of a wide window, which is
not what "zoom to extent" means.
"""
bounds = np.asarray(bounds_sensor_m, dtype=np.float64)
if bounds.shape != (2, 3):
raise ValueError(f"bounds must be [2,3], got {bounds.shape}")
low, high = bounds[0], bounds[1]
self.target_sensor_m = (low + high) * 0.5
radius = float(np.linalg.norm(high - low) * 0.5)
self._fitted_radius_m = max(radius, 1e-6)
self._fitted_radius_m = max(float(np.linalg.norm(high - low) * 0.5), 1e-6)
self.aspect = max(float(aspect), 1e-6)
self.vertical_fov_rad = _clamp(self.vertical_fov_rad, 0.1, 2.6)
vertical_half = 0.5 * self.vertical_fov_rad
horizontal_half = math.atan(math.tan(vertical_half) * self.aspect)
half = min(vertical_half, horizontal_half)
# A little margin, so the silhouette is not flush with the edge.
self.distance_m = _clamp(
self._fitted_radius_m / max(math.sin(half), 1e-6) * 1.15,
fit_distance_m(
bounds,
self._direction(),
self.up_sensor,
self.aspect,
self.vertical_fov_rad,
),
MIN_DISTANCE_M,
MAX_DISTANCE_M,
)
@@ -84,8 +116,11 @@ class OrbitCamera:
def set_preset(self, preset: CameraPreset) -> None:
"""Point the camera where the asset says its default view is.
The preset's ``eye`` is turned into yaw/pitch/distance around its target,
so a later drag continues from the preset instead of jumping.
The preset's ``eye`` is turned into yaw/pitch/distance in the preset's own
frame, so a later drag continues from the preset instead of jumping. The
preset's ``up`` becomes the turntable's pole *and* the camera's up, which is
why the view is reproduced exactly rather than to within the pole's reach:
every preset here has its up perpendicular to its view direction.
"""
eye = np.asarray(preset.eye_sensor_m, dtype=np.float64)
target = np.asarray(preset.target_sensor_m, dtype=np.float64)
@@ -94,13 +129,19 @@ class OrbitCamera:
distance = float(np.linalg.norm(offset))
if distance <= 0.0:
raise ValueError(f"preset {preset.name!r} puts the eye on the target")
pole = _unit(up, np.array([0.0, 0.0, 1.0]))
direction = offset / distance
self._aim_turntable(pole, direction)
pole, e1, e2 = self._turntable()
self.target_sensor_m = target
self.distance_m = _clamp(distance, MIN_DISTANCE_M, MAX_DISTANCE_M)
self.up_sensor = up / max(float(np.linalg.norm(up)), 1e-9)
direction = offset / distance
self.pitch_rad = _clamp(math.asin(_clamp(direction[2], -1.0, 1.0)),
-MAX_PITCH_RAD, MAX_PITCH_RAD)
self.yaw_rad = math.atan2(direction[0], -direction[1])
self.up_sensor = pole
self.pitch_rad = _clamp(
math.asin(_clamp(float(direction @ pole), -1.0, 1.0)),
-MAX_PITCH_RAD,
MAX_PITCH_RAD,
)
self.yaw_rad = math.atan2(float(direction @ e1), -float(direction @ e2))
self.vertical_fov_rad = _clamp(float(preset.vertical_fov_rad), 0.1, 2.6)
self._preset_name = preset.name
@@ -115,7 +156,6 @@ class OrbitCamera:
def pan(self, delta_px: tuple[float, float], viewport: tuple[int, int]) -> None:
"""Slide the target in the view plane, scaled so it tracks the cursor."""
width = max(int(viewport[0]), 1)
height = max(int(viewport[1]), 1)
dx, dy = float(delta_px[0]), float(delta_px[1])
world_per_px = (
@@ -156,15 +196,7 @@ class OrbitCamera:
# ``cross(backward, up)`` yields a left-handed basis (det = -1), which
# mirrors the whole model.
backward = self._direction()
up = np.asarray(self.up_sensor, dtype=np.float64)
right = np.cross(up, backward)
norm = float(np.linalg.norm(right))
if norm < 1e-8:
# Looking straight down the up axis: pick any stable right vector.
right = np.array([1.0, 0.0, 0.0])
norm = 1.0
right = right / norm
true_up = np.cross(backward, right)
right, true_up = screen_basis(backward, self.up_sensor)
view = np.eye(4, dtype=np.float64)
view[0, :3], view[1, :3], view[2, :3] = right, true_up, backward
view[0, 3] = -float(np.dot(right, eye))
@@ -194,30 +226,67 @@ class OrbitCamera:
return (near, far)
# ------------------------------------------------------------------- helpers
def _aim_turntable(self, pole: np.ndarray, backward: np.ndarray) -> None:
"""Aim the turntable frame: ``pole`` is its axis, ``backward`` fixes the yaw.
``e2`` is the in-plane direction opposite the given view direction, so
``yaw = pitch = 0`` reproduces it; ``e1`` completes a right-handed basis.
"""
pole = _unit(pole, np.array([0.0, 0.0, 1.0], dtype=np.float64))
candidate = np.asarray(backward, dtype=np.float64)
candidate = candidate - pole * float(candidate @ pole)
if float(np.linalg.norm(candidate)) < 1e-9:
# The view direction is along the pole: no view is rolled by the choice, so
# keep the turntable's current in-plane axis if there is one.
if self._e2_sensor is not None:
candidate = np.asarray(self._e2_sensor, dtype=np.float64)
candidate = candidate - pole * float(candidate @ pole)
if float(np.linalg.norm(candidate)) < 1e-9:
fallback = (
np.array([0.0, 0.0, 1.0])
if abs(float(pole[2])) < 0.9
else np.array([0.0, 1.0, 0.0])
)
candidate = np.cross(pole, fallback)
e2 = -candidate / float(np.linalg.norm(candidate))
e1 = np.cross(e2, pole)
e1 = e1 / max(float(np.linalg.norm(e1)), 1e-15)
self._pole_sensor = pole
self._e1_sensor = e1
self._e2_sensor = e2
def _turntable(self) -> tuple[np.ndarray, np.ndarray, np.ndarray]:
"""The aimed ``(pole, e1, e2)``; ``__post_init__`` guarantees they exist."""
if (
self._pole_sensor is None
or self._e1_sensor is None
or self._e2_sensor is None
):
raise RuntimeError("the camera's turntable frame was never aimed")
return self._pole_sensor, self._e1_sensor, self._e2_sensor
def _direction(self) -> np.ndarray:
"""Unit vector from the target towards the eye."""
"""Unit vector from the target towards the eye, in the turntable frame."""
pole, e1, e2 = self._turntable()
cos_pitch = math.cos(self.pitch_rad)
return np.array(
[
cos_pitch * math.sin(self.yaw_rad),
-cos_pitch * math.cos(self.yaw_rad),
math.sin(self.pitch_rad),
],
dtype=np.float64,
direction = (
cos_pitch * (math.sin(self.yaw_rad) * e1 - math.cos(self.yaw_rad) * e2)
+ math.sin(self.pitch_rad) * pole
)
return direction / max(float(np.linalg.norm(direction)), 1e-15)
def _basis(self) -> tuple[np.ndarray, np.ndarray]:
"""``(right, up)`` of the camera, in the same handedness as ``matrices``."""
backward = self._direction()
up = np.asarray(self.up_sensor, dtype=np.float64)
right = np.cross(up, backward)
norm = float(np.linalg.norm(right))
if norm < 1e-8:
right = np.array([1.0, 0.0, 0.0])
norm = 1.0
right = right / norm
true_up = np.cross(backward, right)
return right, true_up / max(float(np.linalg.norm(true_up)), 1e-9)
return screen_basis(self._direction(), self.up_sensor)
def _unit(value: np.ndarray, fallback: np.ndarray) -> np.ndarray:
"""``value`` as a unit vector, or ``fallback`` when it has no direction."""
array = np.asarray(value, dtype=np.float64)
norm = float(np.linalg.norm(array))
if norm < 1e-12:
return np.array(fallback, dtype=np.float64)
return array / norm
def _clamp(value: float, low: float, high: float) -> float:
@@ -422,10 +422,34 @@ class Scene3DView(QWidget):
except ValueError as exc:
logger.warning("ignoring preset %s: %s", name, exc)
return
# Every preset is framed, not only the first picture. A preset carries
# the distance the compiler could state without knowing this pane's
# shape, and adopting it blindly is what used to zoom the part until it
# overflowed the viewport the moment an operator picked a view.
self.fit_view()
if self._widget is not None:
self._widget.update()
return
def fit_view(self) -> None:
"""Zoom to extent: frame what the pane draws, at this pane's own aspect.
The same call the first paint makes, so "the default view" and "reset" and
"pick a preset" all mean one thing. ``OrbitCamera.fit`` keeps the angles, so
this changes the distance and the target only.
"""
if self._assets is None:
return
aspect = float(self._camera.aspect)
bounds = None
if self._widget is not None:
width, height = self._widget.viewport_pixels()
aspect = width / max(height, 1)
bounds = self._widget.fit_bounds()
self._camera.fit(
self._assets.bounds_sensor_m if bounds is None else bounds, aspect
)
def reset_view(self) -> None:
"""Go back to the view the asset itself calls its own.
@@ -18,6 +18,7 @@ from __future__ import annotations
import time
import numpy as np
from orisys_app_shared.scene3d.contracts import (
Diagnostic,
DisplaySettings,
@@ -28,6 +29,7 @@ from orisys_app_shared.scene3d.contracts import (
SceneAssets,
diagnostic,
)
from orisys_app_shared.scene3d.framing import drawn_bounds
from PySide6.QtCore import QEvent, Qt, Signal
from PySide6.QtGui import QMouseEvent, QWheelEvent
@@ -146,6 +148,23 @@ class Sensor3DWidget(QOpenGLWidget):
max(int(round(self.height() * ratio)), 1),
)
def fit_bounds(self) -> np.ndarray:
"""The bounds the camera should frame: what this pane will actually draw.
The sensing surface always; the housing only while it is shown, because
framing a 15.8 mm surface while a 21 mm frame is on screen crops the part the
operator just asked to inspect. Falls back to the asset's own statement when
there are no parts to measure.
"""
if self._assets is None:
return np.zeros((2, 3), dtype=np.float32)
bounds = drawn_bounds(
self._assets.parts, housing_visible=bool(self._settings.housing_visible)
)
if bounds is None:
return np.asarray(self._assets.bounds_sensor_m, dtype=np.float32)
return bounds.astype(np.float32)
# ------------------------------------------------------------ Qt overrides
def initializeGL(self) -> None: # pragma: no cover - needs a real context
try:
@@ -200,7 +219,7 @@ class Sensor3DWidget(QOpenGLWidget):
self._camera.set_preset(presets[0])
except ValueError:
pass
self._camera.fit(self._assets.bounds_sensor_m, self._aspect())
self._camera.fit(self.fit_bounds(), self._aspect())
if self._needs_surface_upload and self._frame is not None:
frame, self._frame = self._frame, None
self._needs_surface_upload = False
@@ -293,12 +312,12 @@ class Sensor3DWidget(QOpenGLWidget):
try:
self.makeCurrent()
self._renderer.release()
except Exception: # noqa: BLE001 - teardown must not raise on the way out
except Exception: # noqa: BLE001, S110 - teardown must not raise on the way out
pass
finally:
try:
self.doneCurrent()
except Exception: # noqa: BLE001
except Exception: # noqa: BLE001, S110 - as above: nothing left to report to
pass
def hideEvent(self, event: QEvent) -> None: # pragma: no cover - Qt event
@@ -0,0 +1,394 @@
"""The camera presets, stated in the design export's own frame.
The frame the finger is drawn in is not the sensor's: the Blender export writes the mesh
into the ``origin_sensor`` empty's frame, and the compile bridges the two with a fitted
rigid transform. The columns of that transform's rotation block *are* the empty's X, Y and
Z expressed in the sensor frame, so those three vectors are the whole definition of "which
way is up" for this asset — and every preset here is stated in them rather than in the
sensing surface's own face normal, which is tilted 24.6° off the frame's +Y.
The assertions are numeric on purpose. "The picture looks right" is what let a preset sit
122.7° from the surface it was pointing at; what is checked here is that the frame's +Z
lands on the screen's up axis, that +X lands on the left, and that the model's own bounds
occupy a stated fraction of the viewport — through the same matrices the GPU is handed.
"""
from __future__ import annotations
from pathlib import Path
import numpy as np
import pytest
from orisys_app_shared.scene3d.legacy import (
default_finger_presets,
sensing_surface_normal,
)
from orisys_app_shared.scene3d.package import read_package, scene_from_contents
from orisys_studio.scene3d.camera import MAX_DISTANCE_M, MIN_DISTANCE_M, OrbitCamera
REPO = Path(__file__).resolve().parents[3]
PACKAGE = REPO / "apps/studio/config/sensors/finger/scene/finger-display-1.0.0.oryscene"
RIGID = REPO / "tools/scene_assets/housing/finger_r01_design_to_sensor_rigid_m.npy"
#: The frame's axes are recovered to float noise, and the matrices the camera hands out
#: are float32, so 1e-6 is the honest tolerance for a direction that must be exact.
EXACT = 1e-6
#: A step of a millimetre across a ~32 mm view is about 0.1 in NDC; 0.02 is a 5x margin.
VISIBLE_STEP = 0.02
#: How much of the viewport the model's bounds must occupy on the axis that binds.
FILL_MIN = 0.60
FILL_MAX = 0.95
def _scene():
if not PACKAGE.is_file():
pytest.skip(f"the shipped finger package is missing: {PACKAGE}")
return scene_from_contents(read_package(PACKAGE), None)
def _transform() -> np.ndarray:
if not RIGID.is_file():
pytest.skip(f"the fitted design frame is missing: {RIGID}")
return np.load(RIGID, allow_pickle=False)
def _frame() -> tuple[np.ndarray, np.ndarray, np.ndarray]:
"""The empty's X, Y and Z in the sensor frame: the transform's columns."""
rotation = _transform()[:3, :3]
return rotation[:, 0], rotation[:, 1], rotation[:, 2]
def _presets():
"""What the compiler derives for the shipped package, from the stated frame."""
assets = _scene()
sensing = assets.sensing_part()
return assets, default_finger_presets(
assets.bounds_sensor_m,
positions_sensor_m=np.asarray(sensing.positions_sensor_m, dtype=np.float64),
triangles=np.asarray(sensing.triangles, dtype=np.int64),
source_frame_sensor=_transform()[:3, :3],
)
def _project(
camera: OrbitCamera, points: np.ndarray, viewport=(640, 480)
) -> np.ndarray:
"""NDC coordinates of sensor-space points, through the real matrices."""
matrices = camera.matrices(viewport)
view = np.asarray(matrices.view, dtype=np.float64)
projection = np.asarray(matrices.projection, dtype=np.float64)
homogeneous = np.concatenate(
[np.asarray(points, dtype=np.float64), np.ones((len(points), 1))], axis=1
)
clip = (projection @ (view @ homogeneous.T)).T
return clip[:, :3] / clip[:, 3:4]
def _camera_for(preset, assets, aspect=4 / 3, viewport=(640, 480)) -> OrbitCamera:
camera = OrbitCamera()
camera.set_preset(preset)
camera.fit(assets.bounds_sensor_m, aspect)
return camera
def _screen_axes(camera: OrbitCamera, viewport=(640, 480)) -> tuple[np.ndarray, ...]:
"""``(right, up, backward)`` of the camera, taken from the view matrix it hands out."""
view = np.asarray(camera.matrices(viewport).view, dtype=np.float64)
return view[0, :3], view[1, :3], view[2, :3]
def _bounds_fractions(
assets, camera: OrbitCamera, viewport
) -> tuple[float, float, float, float]:
"""``(span_x, span_y, reach_x, reach_y)`` of the model's bounds, in NDC.
``span`` is how much of the axis the bounds cover; ``reach`` is how near the edge
they come. They differ under perspective — the corner towards the eye projects wider
than the one behind it — so a fit is stated as a ``reach`` and "it fills the
viewport" is the weaker ``span``.
"""
bounds = np.asarray(assets.bounds_sensor_m, dtype=np.float64)
corners = np.array(
[[i, j, k] for i in (0.0, 1.0) for j in (0.0, 1.0) for k in (0.0, 1.0)],
dtype=np.float64,
)
ndc = _project(camera, bounds[0] + corners * (bounds[1] - bounds[0]), viewport)
span = np.ptp(ndc[:, :2], axis=0) / 2.0
reach = np.abs(ndc[:, :2]).max(axis=0)
return float(span[0]), float(span[1]), float(reach[0]), float(reach[1])
def _step_towards(camera: OrbitCamera, axis: np.ndarray, viewport) -> np.ndarray:
"""The NDC displacement produced by a 1 mm step along a world axis, at the target."""
points = np.stack([camera.target_sensor_m, camera.target_sensor_m + axis * 1e-3])
ndc = _project(camera, points, viewport)
return ndc[1, :2] - ndc[0, :2]
# ------------------------------------------------------------- the stated frame
def test_the_fitted_transform_columns_are_the_empty_axes() -> None:
"""The frame is read, not assumed: the transform's columns are orthonormal."""
rotation = _transform()[:3, :3]
assert np.abs(rotation @ rotation.T - np.eye(3)).max() < 1e-12
assert float(np.linalg.det(rotation)) == pytest.approx(1.0, abs=1e-12)
frame_x, frame_y, frame_z = _frame()
# Recorded here because every preset below is a statement about these three: the
# export's +Y is the sensor's -Z, and its +Z (up) is the sensor's -X.
assert np.allclose(frame_x, [0.0, 1.0, 0.0], atol=1e-6)
assert np.allclose(frame_y, [0.0, 0.0, -1.0], atol=1e-6)
assert np.allclose(frame_z, [-1.0, 0.0, 0.0], atol=1e-6)
def test_the_default_view_is_the_frames_own_view() -> None:
"""The default: an eye on the empty's +Y, up along its +Z, +X to the left."""
assets, presets = _presets()
frame_x, frame_y, frame_z = _frame()
assert [preset.name for preset in presets] == ["default", "front", "side", "top"]
preset = presets[0]
camera = _camera_for(preset, assets)
right, true_up, backward = _screen_axes(camera)
# The view direction and the up are the frame's, exactly.
assert float(backward @ frame_y) == pytest.approx(1.0, abs=EXACT), (
"+Y is the view axis"
)
assert float(true_up @ frame_z) == pytest.approx(1.0, abs=EXACT), "+Z is screen up"
# ...and screen-right is -X, which is what "+X appears to the left" means.
assert float(right @ frame_x) == pytest.approx(-1.0, abs=EXACT), "+X is on the left"
# The camera is on the +Y axis: the eye's offset from the target is the frame's +Y.
eye = np.asarray(preset.eye_sensor_m, dtype=np.float64) - np.asarray(
preset.target_sensor_m, dtype=np.float64
)
assert float((eye / np.linalg.norm(eye)) @ frame_y) == pytest.approx(1.0, abs=EXACT)
# ...and reproduced by the camera, not merely stated by the preset.
assert np.allclose(camera.eye_sensor_m(), preset.eye_sensor_m, atol=1e-9)
# The same statement through the projection: a step along the frame's axes moves
# where it must on the screen.
towards_x = _step_towards(camera, frame_x, (640, 480))
towards_z = _step_towards(camera, frame_z, (640, 480))
assert towards_x[0] < -VISIBLE_STEP, "+X must move left, not right"
assert abs(float(towards_x[1])) < VISIBLE_STEP / 2.0, "+X must not move up or down"
assert towards_z[1] > VISIBLE_STEP, "+Z must move up"
assert abs(float(towards_z[0])) < VISIBLE_STEP / 2.0, "+Z must not move sideways"
def test_every_preset_states_the_frame_the_same_way() -> None:
"""The view table: what each preset puts on the screen, axis by axis.
``+X`` on the left of ``default``/``front`` is not an accident to be repeated: the
``top`` view is the default one tilted 90° about its own horizontal axis, so it keeps
the same left/right; ``side`` looks along ``+X`` and therefore puts ``+Y`` on the
right. A view that was rolled would fail the two "no drift" assertions.
"""
assets, presets = _presets()
frame_x, frame_y, frame_z = _frame()
by_name = {preset.name: preset for preset in presets}
# (name, eye axis, screen-right, screen-up)
table = (
("default", frame_y, -frame_x, frame_z),
("front", frame_y, -frame_x, frame_z),
("side", frame_x, frame_y, frame_z),
("top", frame_z, -frame_x, -frame_y),
)
for name, eye_axis, expected_right, expected_up in table:
camera = _camera_for(by_name[name], assets)
right, true_up, backward = _screen_axes(camera)
assert float(backward @ eye_axis) == pytest.approx(1.0, abs=EXACT), name
assert float(right @ expected_right) == pytest.approx(1.0, abs=EXACT), name
assert float(true_up @ expected_up) == pytest.approx(1.0, abs=EXACT), name
# The frame's up is screen-up wherever it is not the view axis (which is what
# "the view is not rolled" means, stated in the frame's own terms).
if name != "top":
assert float(true_up @ frame_z) == pytest.approx(1.0, abs=EXACT), name
else:
assert float(backward @ frame_z) == pytest.approx(1.0, abs=EXACT), name
# A left-handed view would mirror the whole model.
assert float(
np.linalg.det(np.stack([right, true_up, backward]))
) == pytest.approx(1.0, abs=1e-6), name
def test_the_presets_are_not_the_surface_normal() -> None:
"""The superseded heuristic, pinned: the default is not the face normal.
The pad's mean normal is 24.6° off the frame's +Y, so a preset derived from it cannot
sit on the +Y axis. With no frame stated the fallback still uses the normal — that is
the repair path for a package an older compiler baked — and that is why this test
asserts the difference rather than its absence.
"""
assets, presets = _presets()
sensing = assets.sensing_part()
normal = sensing_surface_normal(
np.asarray(sensing.positions_sensor_m, dtype=np.float64),
np.asarray(sensing.triangles, dtype=np.int64),
)
frame_x, frame_y, frame_z = _frame()
assert float(normal @ frame_y) < 0.99, "the fixture no longer distinguishes the two"
eye = np.asarray(presets[0].eye_sensor_m, dtype=np.float64) - np.asarray(
presets[0].target_sensor_m, dtype=np.float64
)
direction = eye / np.linalg.norm(eye)
angle = float(np.degrees(np.arccos(np.clip(direction @ normal, -1.0, 1.0))))
assert angle == pytest.approx(24.57, abs=0.1), (
f"the default view is {angle:.2f}° off"
)
fallback = default_finger_presets(
assets.bounds_sensor_m,
positions_sensor_m=np.asarray(sensing.positions_sensor_m, dtype=np.float64),
triangles=np.asarray(sensing.triangles, dtype=np.int64),
surface_normal_sensor=normal,
)
fallback_front = np.asarray(
fallback[1].eye_sensor_m, dtype=np.float64
) - np.asarray(fallback[1].target_sensor_m, dtype=np.float64)
fallback_front = fallback_front / np.linalg.norm(fallback_front)
assert float(fallback_front @ normal) > 0.99, (
"the no-frame fallback must still look straight at the sensing side of the surface"
)
fallback_default = np.asarray(
fallback[0].eye_sensor_m, dtype=np.float64
) - np.asarray(fallback[0].target_sensor_m, dtype=np.float64)
fallback_default = fallback_default / np.linalg.norm(fallback_default)
assert float(fallback_default @ normal) == pytest.approx(
1.0 / np.sqrt(1.36), abs=1e-6
)
# --------------------------------------------------------------------- the fit
def test_the_default_view_fits_the_model_at_two_viewport_sizes() -> None:
"""Zoom to extent, measured: the bounds fill the viewport, and never clip.
Both sizes are the same shape as the pane at its usual size, so both axes are inside
the band. A wide viewport cannot do that for a square-ish part — the binding axis is
asserted on its own below, because "fill 90 % of the height and stay uncropped" is the
most a 16:9 window can be given without cropping the model.
"""
assets, presets = _presets()
preset = presets[0]
bounds = np.asarray(assets.bounds_sensor_m, dtype=np.float64)
for viewport in ((640, 480), (700, 530)):
aspect = viewport[0] / viewport[1]
camera = _camera_for(preset, assets, aspect, viewport)
assert MIN_DISTANCE_M < camera.distance_m < MAX_DISTANCE_M
span_x, span_y, reach_x, reach_y = _bounds_fractions(assets, camera, viewport)
# Nothing touches an edge...
assert max(reach_x, reach_y) <= FILL_MAX, (viewport, reach_x, reach_y)
# ...both axes are filled sensibly...
assert span_x >= FILL_MIN, (viewport, span_x)
assert span_y >= FILL_MIN, (viewport, span_y)
# ...and the axis that binds is tight, which is what "zoom to extent" means.
assert max(reach_x, reach_y) >= 0.85, (viewport, reach_x, reach_y)
# Nothing is outside the frame, and nothing sits on a frustum plane.
corners = np.array(
[[i, j, k] for i in (0.0, 1.0) for j in (0.0, 1.0) for k in (0.0, 1.0)],
dtype=np.float64,
)
ndc = _project(camera, bounds[0] + corners * (bounds[1] - bounds[0]), viewport)
assert np.all(np.abs(ndc[:, :2]) <= 1.0), (viewport, np.abs(ndc[:, :2]).max())
assert np.all(np.abs(ndc[:, 2]) < 0.9), viewport
def test_a_wide_viewport_fills_what_the_geometry_allows() -> None:
"""At 16:9 the vertical binds: no cropping, and the height is still filled."""
assets, presets = _presets()
viewport = (1280, 720)
camera = _camera_for(presets[0], assets, viewport[0] / viewport[1], viewport)
span_x, span_y, reach_x, reach_y = _bounds_fractions(assets, camera, viewport)
assert reach_y == pytest.approx(0.92, abs=0.01)
assert span_y == pytest.approx(0.92, abs=0.02)
assert span_x < FILL_MIN, "a square part in a 16:9 window cannot fill both axes"
assert span_x > 0.4, span_x
assert reach_x <= FILL_MAX, reach_x
def test_applying_any_preset_reframes_the_pane(qt_app) -> None:
"""Every preset is framed, through the pane's own path, at two window sizes.
The defect this replaces: the first picture was framed, but choosing a view from the
combo adopted the preset's baked distance and zoomed the part until it overflowed
(measured on the shipped package: 2.16 x 2.12 of the viewport on ``default``).
"""
from orisys_studio.scene3d.view import Scene3DView
assets = _scene()
view = Scene3DView()
if not view.available:
view.close()
pytest.skip(f"no GL view here: {view.reason}")
try:
assert view.use_scene(assets, source_id="frame-views")
seen = set()
for size in ((560, 500), (700, 560)):
view.resize(*size)
view.show()
qt_app.processEvents()
widget = view.gl_widget
viewport = widget.viewport_pixels()
seen.add(viewport)
for preset in assets.camera_presets:
view.apply_preset(preset.name)
qt_app.processEvents()
span_x, span_y, reach_x, reach_y = _bounds_fractions(
assets, view._camera, viewport
)
assert max(reach_x, reach_y) <= FILL_MAX, (
size,
preset.name,
reach_x,
reach_y,
)
assert max(reach_x, reach_y) >= 0.85, (
size,
preset.name,
reach_x,
reach_y,
)
# Both axes cannot be filled when the view is narrow (``side`` sees a
# 7.5 x 15.8 mm profile in a 1.19:1 viewport), so what is asserted is that
# the axis the fit binds on is filled and the other is not cropped.
assert max(span_x, span_y) >= FILL_MIN, (
size,
preset.name,
span_x,
span_y,
)
assert len(seen) == 2, f"the two window sizes gave one viewport: {seen}"
finally:
view.close()
def test_a_drag_in_the_default_view_spins_about_the_frames_up() -> None:
"""The turntable's pole is the frame's +Z, so a horizontal drag is not a roll.
With the sensor's own Z as the pole the default view would sit *on* the pole: a
horizontal drag would do nothing at all and a vertical one would tilt the part out of
its frame. Measured here as the world axis the target-to-eye direction turns about.
"""
assets, presets = _presets()
frame_x, frame_y, frame_z = _frame()
camera = _camera_for(presets[0], assets)
before = camera.eye_sensor_m() - camera.target_sensor_m
camera.orbit((30.0, 0.0), (640, 480))
after = camera.eye_sensor_m() - camera.target_sensor_m
assert np.linalg.norm(after - before) > 1e-4, "a horizontal drag did nothing"
# A rotation about the frame's up keeps the vector perpendicular to it, and keeps
# the frame's up fixed on the screen's up axis.
assert float(after @ frame_z) == pytest.approx(0.0, abs=1e-9)
_right, true_up, _backward = _screen_axes(camera)
assert float(true_up @ frame_z) == pytest.approx(1.0, abs=EXACT), (
"the drag rolled it"
)
# A rightward drag swings the eye towards the frame's -X (the screen's right is -X),
# so the part itself appears to turn to the right: a turntable, not a roll.
camera = _camera_for(presets[0], assets)
camera.orbit((30.0, 0.0), (640, 480))
moved = camera.eye_sensor_m() - camera.target_sensor_m
moved = moved / np.linalg.norm(moved)
assert float(moved @ frame_x) < 0.0
assert float(moved @ frame_y) > 0.0