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

- pack_photo_sample.py: --target now required (no albedo fallback)
- gen_sample: 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

49 files changed, 0 insertions, 0 deletions

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