wardrobe-us / .env.example
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refactor(detector): replace monolithic detector with pluggable multi-backend package
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# Storage backend: "local" (default) or "s3"
STORAGE_BACKEND=local
# S3 configuration (only needed when STORAGE_BACKEND=s3)
S3_BUCKET_NAME=
S3_ENDPOINT_URL=
S3_PREFIX=garments/
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
# Detection backend: "yolos" (HF, flat lays) | "yolov8" (local) | "grounding_dino" (open vocab)
DETECTION_BACKEND=yolos
# HuggingFace token (read access, needed to download detection model)
HF_TOKEN=
# GPU configuration
CUDA_VISIBLE_DEVICES=0