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b33e5eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | #!/usr/bin/env bash
# Full SIFQ training — 50 epochs, all losses active from epoch 0.
#
# Fixed stage schedule (stage_scheduler.py v2):
# epochs 0– 4 : warm-up (alpha=0.2, beta=0.1, gamma=1.0)
# epochs 5–19 : balanced (alpha=0.5, beta=0.3, gamma=0.5)
# epochs 20–39 : +sensor (alpha=0.5, beta=0.5, gamma=0.3)
# epochs 40–49 : finetune (alpha=0.3, beta=0.7, gamma=0.2)
#
# Usage:
# bash scripts/run_train.sh # defaults
# bash scripts/run_train.sh --epochs 20 # partial run
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
VENV="$ROOT/../.venv"
[[ -f "$VENV/bin/activate" ]] && source "$VENV/bin/activate"
python "$SCRIPT_DIR/train_sifq.py" \
--root-302a /home/aiserver/works/fingerprint/dataset/302a/images/challengers \
--root-302b /home/aiserver/works/fingerprint/dataset/302b/images/baseline \
--root-302d /home/aiserver/works/fingerprint/dataset/nist_302d/images/auxiliary \
--mdgt-checkpoint /home/aiserver/works/fingerprint/pad/TRAM-downstream/checkpoint/checkpoints_dinov2_tram/best_eer.pt \
--epochs 50 \
--batch-size 64 \
--image-size 224 \
--lr 1e-4 \
--max-train-samples -1 \
--num-workers 4 \
--gpus "0,1" \
--save-dir "$ROOT/checkpoints_full_v2" \
"$@"
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