pikaliov
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f0c876dfc7
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Add segmentation post-processing: dark water fix + wetland reclassify
Two heuristic rules applied after SegEarth-OV3 inference:
1. Dark water: if background pixels have mean_rgb < 0.24 and std < 0.08,
reclassify as water. Fixes GTA-UAV satellite dark ocean (57% → ~15% bg).
2. Wetland reclassify (GTA-UAV only): split false-positive wetland pixels
by color — green-dominant → vegetation, else → bare soil. Fixes 14.3%
muddy/wetland false positives on GTA-V hillside terrain.
Config flags: seg_fix_dark_water (default True), seg_reclassify_wetland
(default False, enabled in run_gta_uav.py).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-04-18 02:37:43 +03:00 |
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pikaliov
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686db62c25
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Initial commit: World-UAV annotation pipeline
4-modality annotation pipeline (depth, edges, segmentation, chmv2) for 973K
drone/satellite images. SegEarth-OV3 open-vocabulary segmentation with 11
classes optimized for cross-view geo-localization.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-04-16 11:22:01 +03:00 |
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