rnd-v1

scripts/run_training_example.sh

@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Pick one downloaded sheet/candidate file first.
+SHEET_ID="${1:-K-34-009-2}"
+TIF="data/raw/${SHEET_ID}/${SHEET_ID}.tif"
+CAND="data/interim/candidates/${SHEET_ID}_candidates.csv"
+OUT="data/yolo/${SHEET_ID}"
+
+python -m bgtopo_poc.cli export-yolo \
+  --config configs/blue_detector.yaml \
+  --sheet-id "$SHEET_ID" \
+  --tif "$TIF" \
+  --candidates "$CAND" \
+  --out-dir "$OUT" \
+  --tile-size 1024 \
+  --overlap 128
+
+# RTX 3080 FE 10 GB: start batch 2-4 at imgsz=1024. Raise only if VRAM allows it.
+python -m bgtopo_poc.cli train-yolo \
+  --data-yaml "$OUT/data.yaml" \
+  --model yolov8s.pt \
+  --imgsz 1024 \
+  --epochs 80 \
+  --batch 4 \
+  --device 0