feat(cnn_v3): gen_sample tool + 7 simple training samples

- pack_photo_sample.py: --target now required (no albedo fallback)
- gen_sample.py: bash wrapper with positional args (input target output_dir)
- input/photo7.jpg: copy of photo2 (second style target)
- target_1: photo2_1_out→photo2_out, photo2_2_out→photo7_out
- dataset/simple/sample_001..007: 7 packed photo/target pairs

handoff(Gemini): training data ready; next step is train_cnn_v3.py run

1 files changed, 21 insertions, 0 deletions

diff --git a/cnn_v3/training/gen_sample.sh b/cnn_v3/training/gen_sample.sh
new file mode 100755
index 0000000..21519f1
--- /dev/null
+++ b/cnn_v3/training/gen_sample.sh
@@ -0,0 +1,21 @@
+#!/usr/bin/env bash
+# gen_sample — pack an input/target photo pair into a CNN v3 sample directory.
+#
+# Usage:
+#   gen_sample <input> <target> <output_dir>
+#
+# Example:
+#   gen_sample input/photo1.jpg target_1/photo1_out.png dataset/simple/sample_001
+
+set -euo pipefail
+
+if [ $# -ne 3 ]; then
+    echo "Usage: gen_sample <input> <target> <output_dir>" >&2
+    exit 1
+fi
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+python3 "$SCRIPT_DIR/pack_photo_sample.py" \
+    --photo  "$1" \
+    --target "$2" \
+    --output "$3"