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>
10 lines
540 B
Plaintext
10 lines
540 B
Plaintext
# Model identifiers and fallback strategies
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ModelsConfig.depth_model_id = 'DA3-LARGE-1.1'
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ModelsConfig.depth_fallback_id = 'depth-anything/Depth-Anything-V2-Large-hf'
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ModelsConfig.chmv2_model_id = 'facebook/dinov3-vitl16-chmv2-dpt-head'
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ModelsConfig.seg_model_type = 'segearth-ov3'
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ModelsConfig.seg_fallback_type = 'segformer-b5'
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ModelsConfig.seg_fallback_id = 'nvidia/segformer-b5-finetuned-ade-640-640'
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# Local directory for downloading and caching model weights (leave empty for HF default cache)
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ModelsConfig.weights_dir = 'in/weights'
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