686db62c25
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>
19 lines
965 B
Plaintext
19 lines
965 B
Plaintext
# Open-vocabulary segmentation parameters
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# 12 cross-view invariant classes for geo-localization
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# See docs/segmentation_class_analysis.md for full rationale
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SegConfig.prompts = [
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'background', # 0 — unclassified
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'building', # 1 — buildings, rooftops
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'road', # 2 — roads, asphalt
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'vegetation', # 3 — trees, bushes, forest canopy
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'water', # 4 — rivers, canals, sea, lakes
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'sand and gravel ground', # 5 — soil, gravel, sand, dust, bare earth
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'rocky terrain', # 6 — rock, stone, lava, canyon walls
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'farmland', # 7 — agricultural terraces, fields
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'railway', # 8 — railway tracks, rails
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'parking lot', # 9 — parking areas
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'sidewalk', # 10 — sidewalks, pedestrian zones, embankments
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]
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SegConfig.threshold = 0.15
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SegConfig.default_resolution = 1008
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