[feat] evaluate M3ED-SPOT in the full suite - #162
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The converter landed in #144 and provisioning in #158 and #161, but m3ed_spot carried no EvalSpec, so it never ran. Add one on m3ed_spot-vo_slam.cfg, the combined config, with the stereo flags KITTI and EuRoC use and an unrectified camera, since the EDEX keeps the published polynomial distortion. Full only. At 56 GiB staged and 57k frames evaluated in both modes it is the most expensive record in the suite by a wide margin, and KITTI already covers stereo pre-merge, so a PR would pay hours for nothing. Smoke therefore stays KITTI, EuRoC and ICL-NUIM. The 10 KPI entries are uncalibrated placeholders, as KITTI, EuRoC, TUM and ICL-NUIM were seeded: expected=null reports SKIPPED under a soft check. Their names come from dataset_registry kpi-keys, so the committed table covers exactly the 50 keys the full suite can produce. Merge after the provisioning run uploads m3ed_spot.tar. Staging resolves the tarball from the registry, so until the object exists every eval-enabled config fails before it evaluates anything.
📝 WalkthroughWalkthroughM3ED-SPOT is added as a full-suite evaluation dataset. The registry defines its reporter and stereo runtime settings. KPI baseline ranges, documentation, and dataset registry tests are updated. ChangesM3ED-SPOT evaluation
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: 🔵 Low · up to M3ED-SPOT evaluation support is otherwise ready, but the changed registry test still has a lint diagnostic that should be fixed before merge. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 5 functions across 2 files. (2 skipped: 2 unsupported.)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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In `@tools/python_tools/cuvslam_tools/tests/test_dataset_registry.py`:
- Around line 77-78: Update the adjacent string literals in the test command
collection to use explicit + concatenation, resolving Ruff ISC004 while
preserving the resulting command text and collection structure.
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cuvslam-skills/cuvslam-ci/reference.mdscripts/kpi_baseline_ranges.jsontools/python_tools/cuvslam_tools/dataset_registry.pytools/python_tools/cuvslam_tools/tests/test_dataset_registry.py
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Test Results
cuVSLAM Evaluation KPIs
Artifacts |
The converter landed in #144 and provisioning in #158 and #161, but m3ed_spot carried no EvalSpec, so it never ran. Add one on m3ed_spot-vo_slam.cfg, the combined config, with the stereo flags KITTI and EuRoC use and an unrectified camera, since the EDEX keeps the published polynomial distortion.
Full only. At 56 GiB staged and 57k frames evaluated in both modes it is the most expensive record in the suite by a wide margin, and KITTI already covers stereo pre-merge, so a PR would pay hours for nothing. Smoke therefore stays KITTI, EuRoC and ICL-NUIM.
The 10 KPI entries are uncalibrated placeholders, as KITTI, EuRoC, TUM and ICL-NUIM were seeded: expected=null reports SKIPPED under a soft check. Their names come from dataset_registry kpi-keys, so the committed table covers exactly the 50 keys the full suite can produce.
Merge after the provisioning run uploads m3ed_spot.tar. Staging resolves the tarball from the registry, so until the object exists every eval-enabled config fails before it evaluates anything.
Summary by CodeRabbit
New Features
Tests