Streamline CNN v2 training pipeline output

- Add --quiet flag to export script (single-line summary)
- Compact validation output (all images on one line)
- Reduce noise: export 3 layers, 912 weights, 1904 bytes

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

1 files changed, 5 insertions, 3 deletions

diff --git a/scripts/train_cnn_v2_full.sh b/scripts/train_cnn_v2_full.sh
index 1c683c2..766bd8b 100755
--- a/scripts/train_cnn_v2_full.sh
+++ b/scripts/train_cnn_v2_full.sh
@@ -52,7 +52,7 @@ cd "$PROJECT_ROOT"
 
 # Helper functions
 export_weights() {
-    python3 training/export_cnn_v2_weights.py "$1" --output-weights "$2"
+    python3 training/export_cnn_v2_weights.py "$1" --output-weights "$2" --quiet
 }
 
 find_latest_checkpoint() {
@@ -378,11 +378,13 @@ fi
 build_target cnn_test
 
 # Process all input images
+echo -n "  Processing images: "
 for input_image in "$INPUT_DIR"/*.png; do
     basename=$(basename "$input_image" .png)
-    echo "    Processing $basename..."
-    build/cnn_test "$input_image" "$VALIDATION_DIR/${basename}_output.png" --weights "$OUTPUT_WEIGHTS" 2>/dev/null
+    echo -n "$basename "
+    build/cnn_test "$input_image" "$VALIDATION_DIR/${basename}_output.png" --weights "$OUTPUT_WEIGHTS" > /dev/null 2>&1
 done
+echo "✓"
 
 # Build demo only if not in validate mode
 [ "$VALIDATE_ONLY" = false ] && build_target demo64k