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Deploy satdetect-dev with Priyanka audit/exception logs.
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__pycache__/
*.pyc
*.pyo
data/satellite_app.db
data/overlays/*
!data/overlays/.gitkeep
data/library_cache/
# Local library images (too large for git — keep on disk only)
library_sources/**/*.tif
library_sources/**/*.tiff
library_sources/**/*.TIF
library_sources/**/*.TIFF
data/library_sources/**/*.tif
data/library_sources/**/*.tiff
data/library_sources/**/*.TIF
data/library_sources/**/*.TIFF
data/library_sources/**/*.png
data/library_sources/**/*.jpg
data/library_sources/**/*.jpeg
!library_sources/**/.gitkeep
.env
*.egg-info/
dist/
build/
venv/
# Generated eval/calibration outputs (masks, leaderboards, metrics)
runs/
# Large fine-tuned weights (export locally via scripts/export_adaptformer_delhi.py)
models/adaptformer_delhi/best/
models/adaptformer_delhi/*.pt
*.safetensors
# Local label backup from merge conflicts
docs/delhi_eval/labels/_local_backup_*/
# WHU reference dataset (real-data pipeline test set, not Delhi imagery — see docs/whu_reference/)
data/whu_reference/
data/large_geotiff_test/
data/large_geotiff_test.zip
# Third-party CD clones + DSIFN Drive downloads (hundreds of MB)
third_party/
models/dsifn_proxy/*.pt
# Building-footprint reference data (461MB geojson — exceeds GitHub's 100MB limit)
data/building_footprints/
# Priyanka synthetic CD triplets (before/after/mask PNGs — local training only)
data/synthetic_cd/