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>
13 lines
574 B
Plaintext
13 lines
574 B
Plaintext
# Pipeline configuration: what to process and where to save
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PipelineConfig.input_root = '/mnt/data1tb/cvgl_datasets/UAV-GeoLoc'
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PipelineConfig.output_root = '/mnt/data1tb/cvgl_datasets/World-UAV-aug'
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PipelineConfig.stages = ['depth', 'edges', 'segmentation', 'chmv2']
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PipelineConfig.save_npy = False
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PipelineConfig.save_vis = True
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PipelineConfig.save_concat = False
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PipelineConfig.resume = True
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PipelineConfig.subset = None
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# Source filter: 'db' = satellite only, 'query' = drone/UAV only, None = both
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PipelineConfig.source = 'query' #'db'
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PipelineConfig.log_level = 'INFO'
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