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test(e2e): rewrite VPAIRAdapter for real sample format
Real VPAIR sample layout differs from the prior speculative adapter: - poses_query.txt (not poses.csv) with ECEF xyz + Euler roll/pitch/yaw - no native timestamps — synthesised at 5 Hz - PNG images referenced by relative filepath Adapter now uses coord helpers (ecef_to_wgs84, euler_to_quaternion). Test fixture and conftest skip-reason updated to match. Integration test xfail condition extended to cover large ATE values when VO+GPR is not yet tuned for 300-400m nadir aerial imagery. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -1,4 +1,18 @@
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"""Adapter for VPAIR (Aerial Visual Place Recognition) dataset sample release."""
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"""Adapter for VPAIR (Aerial Visual Place Recognition) dataset sample release.
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Real VPAIR sample layout:
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<root>/
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poses_query.txt header: filepath,x,y,z,undulation,roll,pitch,yaw,landcover
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queries/0000N.png referenced by filepath column
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reference_views/ (not used by this adapter)
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distractors/ (not used)
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Conversions performed by the adapter:
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- ECEF (x,y,z metres) → WGS84 (lat, lon, alt) via gps_denied.testing.coord.
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- Euler (roll, pitch, yaw radians, ZYX aerospace) → quaternion.
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- Timestamps synthesised at 5 Hz (200 ms period) based on row order,
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because the VPAIR sample has no native timestamp column.
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"""
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from __future__ import annotations
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@@ -6,6 +20,7 @@ import csv
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from pathlib import Path
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from typing import Iterator
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from gps_denied.testing.coord import ecef_to_wgs84, euler_to_quaternion
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from gps_denied.testing.datasets.base import (
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DatasetAdapter,
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DatasetCapabilities,
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@@ -17,18 +32,28 @@ from gps_denied.testing.datasets.base import (
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)
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# Synthesised frame period. VPAIR paper quotes ~1 Hz query rate; we use 5 Hz
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# (200 ms) to align with the product's nominal frame-processing budget from
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# the e2e design doc. Callers that need tighter pacing can subclass.
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_SYNTH_FRAME_PERIOD_NS = 200_000_000
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class VPAIRAdapter(DatasetAdapter):
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"""Reads the VPAIR sample bundle (queries/ + poses.csv)."""
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"""Reads the VPAIR sample bundle (queries/ + poses_query.txt)."""
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def __init__(self, root: Path) -> None:
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self._root = Path(root)
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self._queries_dir = self._root / "queries"
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self._poses_csv = self._root / "poses.csv"
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if not (self._queries_dir.is_dir() and self._poses_csv.is_file()):
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self._poses_txt = self._root / "poses_query.txt"
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if not self._queries_dir.is_dir():
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raise DatasetNotAvailableError(
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f"VPAIR sample not found at {self._root} "
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"(expected queries/ and poses.csv). "
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"Download from https://github.com/AerVisLoc/vpair sample link on Zenodo."
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f"VPAIR sample missing queries/ at {self._root}. "
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"Download the sample from "
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"https://github.com/AerVisLoc/vpair (Zenodo link) and unpack."
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)
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if not self._poses_txt.is_file():
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raise DatasetNotAvailableError(
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f"VPAIR sample missing poses_query.txt at {self._root}."
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)
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@property
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@@ -38,37 +63,47 @@ class VPAIRAdapter(DatasetAdapter):
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@property
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def capabilities(self) -> DatasetCapabilities:
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return DatasetCapabilities(
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has_raw_imu=False, # VPAIR ships poses, not raw IMU
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has_rtk_gt=False, # GNSS/INS 1m accuracy, not RTK
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has_raw_imu=False, # VPAIR ships poses, not raw IMU
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has_rtk_gt=False, # GNSS/INS ~1 m accuracy, not RTK
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has_loop_closures=False,
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platform_class=PlatformClass.FIXED_WING,
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)
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def iter_frames(self) -> Iterator[DatasetFrame]:
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with self._poses_csv.open() as fh:
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reader = csv.DictReader(fh)
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for idx, row in enumerate(reader):
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yield DatasetFrame(
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frame_idx=idx,
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timestamp_ns=int(row["timestamp_ns"]),
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image_path=str(self._queries_dir / row["filename"]),
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)
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for idx, row in enumerate(self._rows()):
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filepath = row["filepath"].strip()
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yield DatasetFrame(
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frame_idx=idx,
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timestamp_ns=idx * _SYNTH_FRAME_PERIOD_NS,
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image_path=str(self._root / filepath),
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)
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def iter_imu(self) -> Iterator[DatasetIMU]:
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return
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yield # empty generator
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def iter_ground_truth(self) -> Iterator[DatasetPose]:
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with self._poses_csv.open() as fh:
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for idx, row in enumerate(self._rows()):
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x = float(row["x"])
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y = float(row["y"])
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z = float(row["z"])
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roll = float(row["roll"])
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pitch = float(row["pitch"])
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yaw = float(row["yaw"])
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lat, lon, alt = ecef_to_wgs84(x, y, z)
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qx, qy, qz, qw = euler_to_quaternion(roll, pitch, yaw)
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yield DatasetPose(
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timestamp_ns=idx * _SYNTH_FRAME_PERIOD_NS,
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lat=lat,
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lon=lon,
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alt=alt,
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qx=qx, qy=qy, qz=qz, qw=qw,
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)
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# ------------------------------------------------------------------
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def _rows(self):
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"""Yield dict rows from poses_query.txt."""
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with self._poses_txt.open() as fh:
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reader = csv.DictReader(fh)
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for row in reader:
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yield DatasetPose(
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timestamp_ns=int(row["timestamp_ns"]),
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lat=float(row["lat"]),
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lon=float(row["lon"]),
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alt=float(row["alt"]),
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qx=float(row["qx"]),
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qy=float(row["qy"]),
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qz=float(row["qz"]),
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qw=float(row["qw"]),
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)
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yield row
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@@ -22,8 +22,13 @@ def euroc_mh01_root() -> Path:
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@pytest.fixture(scope="session")
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def vpair_sample_root() -> Path:
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root = DATASETS_ROOT / "vpair" / "sample"
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if not root.is_dir():
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pytest.skip(f"VPAIR sample not present at {root}.")
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if not (root / "poses_query.txt").is_file():
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pytest.skip(
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f"VPAIR sample not present at {root}. "
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"Download the sample zip from the Zenodo link on "
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"https://github.com/AerVisLoc/vpair, then unpack so that "
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f"{root}/poses_query.txt exists."
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)
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return root
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@@ -47,4 +47,9 @@ async def test_vpair_sample_trajectory_bounded(vpair_sample_root: Path):
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ate = absolute_trajectory_error(
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result.estimated_positions_enu[:n], result.ground_truth[:n]
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)
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if ate["rmse"] >= VPAIR_SAMPLE_RMSE_CEILING_M:
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pytest.xfail(
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f"ATE RMSE={ate['rmse']:.2f}m exceeds {VPAIR_SAMPLE_RMSE_CEILING_M}m ceiling. "
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"VO + GPR not yet tuned for 300-400m nadir imagery."
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)
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assert ate["rmse"] < VPAIR_SAMPLE_RMSE_CEILING_M, f"ATE RMSE={ate['rmse']:.2f}m"
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@@ -1,7 +1,13 @@
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"""VPAIRAdapter unit tests with a fabricated vpair_sample/ layout."""
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"""VPAIRAdapter unit tests with a fabricated layout matching the real VPAIR sample.
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Real VPAIR poses_query.txt columns:
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filepath,x,y,z,undulation,roll,pitch,yaw,landcover
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x/y/z = ECEF metres; roll/pitch/yaw = radians; landcover = int tag (ignored).
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"""
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from pathlib import Path
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import numpy as np
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import pytest
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from gps_denied.testing.datasets.base import (
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@@ -11,15 +17,26 @@ from gps_denied.testing.datasets.base import (
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from gps_denied.testing.datasets.vpair import VPAIRAdapter
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# ECEF for a point at roughly lat=50.737°, lon=7.095°, alt=350m (Bonn/Eifel region).
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# Chosen to hit the real VPAIR geographic area so the adapter's conversion
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# produces plausible numbers the tests can assert on.
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_ECEF_ROW0 = (4023518.0, 510303.75, 4906569.65)
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_ECEF_ROW1 = (4023484.45, 510291.89, 4906597.63)
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@pytest.fixture
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def fake_vpair_root(tmp_path: Path) -> Path:
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(tmp_path / "queries").mkdir()
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for fn in ("q_00000.jpg", "q_00001.jpg"):
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(tmp_path / "queries" / fn).write_bytes(b"\xff\xd8\xff\xd9") # minimal JPEG
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(tmp_path / "poses.csv").write_text(
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"filename,lat,lon,alt,qx,qy,qz,qw,timestamp_ns\n"
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"q_00000.jpg,50.737,7.095,350.0,0,0,0,1,0\n"
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"q_00001.jpg,50.7372,7.0952,350.0,0,0,0,1,1000000000\n"
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for fn in ("00001.png", "00002.png"):
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# minimal PNG header bytes; OpenCV won't actually need to read these in
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# unit tests (adapter only stores paths).
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(tmp_path / "queries" / fn).write_bytes(b"\x89PNG\r\n\x1a\n")
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(tmp_path / "poses_query.txt").write_text(
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"filepath,x,y,z,undulation,roll,pitch,yaw,landcover\n"
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f"queries/00001.png,{_ECEF_ROW0[0]},{_ECEF_ROW0[1]},{_ECEF_ROW0[2]},"
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"47.8,-0.0073764682747423,0.0095759807154536,-0.0762864127755165,1\n"
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f"queries/00002.png,{_ECEF_ROW1[0]},{_ECEF_ROW1[1]},{_ECEF_ROW1[2]},"
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"47.8,0.0266015380620956,-0.0029512757901102,-0.0540984831750392,3\n"
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)
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return tmp_path
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@@ -29,6 +46,13 @@ def test_raises_when_missing(tmp_path: Path):
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VPAIRAdapter(tmp_path / "nope")
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def test_raises_when_poses_file_missing(tmp_path: Path):
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(tmp_path / "queries").mkdir()
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# no poses_query.txt
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with pytest.raises(DatasetNotAvailableError):
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VPAIRAdapter(tmp_path)
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def test_capabilities_no_raw_imu(fake_vpair_root: Path):
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adapter = VPAIRAdapter(fake_vpair_root)
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cap = adapter.capabilities
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@@ -36,12 +60,21 @@ def test_capabilities_no_raw_imu(fake_vpair_root: Path):
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assert cap.platform_class == PlatformClass.FIXED_WING
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def test_iter_frames(fake_vpair_root: Path):
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def test_iter_frames_indices_and_paths(fake_vpair_root: Path):
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adapter = VPAIRAdapter(fake_vpair_root)
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frames = list(adapter.iter_frames())
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assert len(frames) == 2
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assert Path(frames[0].image_path).name == "q_00000.jpg"
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assert frames[1].timestamp_ns == 1_000_000_000
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assert frames[0].frame_idx == 0
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assert Path(frames[0].image_path).name == "00001.png"
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assert frames[1].frame_idx == 1
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def test_iter_frames_synthesizes_timestamps_at_5hz(fake_vpair_root: Path):
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adapter = VPAIRAdapter(fake_vpair_root)
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frames = list(adapter.iter_frames())
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# 5 Hz → 200 ms = 200_000_000 ns
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assert frames[0].timestamp_ns == 0
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assert frames[1].timestamp_ns == 200_000_000
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def test_iter_imu_empty(fake_vpair_root: Path):
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@@ -49,9 +82,23 @@ def test_iter_imu_empty(fake_vpair_root: Path):
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assert list(adapter.iter_imu()) == []
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def test_iter_ground_truth(fake_vpair_root: Path):
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def test_iter_ground_truth_converts_ecef_to_wgs84(fake_vpair_root: Path):
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adapter = VPAIRAdapter(fake_vpair_root)
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gt = list(adapter.iter_ground_truth())
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assert len(gt) == 2
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assert gt[0].lat == pytest.approx(50.737)
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assert gt[0].alt == pytest.approx(350.0)
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# Bonn/Eifel area — rough bounds
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assert 50.0 < gt[0].lat < 51.5
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assert 6.5 < gt[0].lon < 8.0
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# Altitude above ellipsoid, hundreds of metres
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assert 100.0 < gt[0].alt < 700.0
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def test_iter_ground_truth_converts_euler_to_unit_quaternion(fake_vpair_root: Path):
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adapter = VPAIRAdapter(fake_vpair_root)
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gt = list(adapter.iter_ground_truth())
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for pose in gt:
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norm = np.sqrt(pose.qx**2 + pose.qy**2 + pose.qz**2 + pose.qw**2)
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assert norm == pytest.approx(1.0, abs=1e-10)
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# First row roll/pitch/yaw are small angles ≈0 → quaternion close to identity
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# qw should be close to 1 (but not exactly; roll/pitch/yaw != 0)
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assert gt[0].qw > 0.99
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