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| -rw-r--r-- | cnn_v3/docs/HOWTO.md | 22 |
1 files changed, 15 insertions, 7 deletions
diff --git a/cnn_v3/docs/HOWTO.md b/cnn_v3/docs/HOWTO.md index 0cf2fe5..983e8b7 100644 --- a/cnn_v3/docs/HOWTO.md +++ b/cnn_v3/docs/HOWTO.md @@ -82,15 +82,23 @@ CNN v3 supports two data sources: Blender renders and real photos. ### 2a. From Blender Renders +Requires **Blender 4.5 LTS** — Blender 5.x compositor does not route per-pass +render data yet (only Combined is exported). + ```bash -# 1. In Blender: run the export script (requires Blender 3.x+) -blender --background scene.blend --python cnn_v3/training/blender_export.py \ - -- --output /tmp/renders/ --frames 200 +# macOS: add to ~/.zshrc or run once per shell session +alias blender4="/Applications/Blender_4.5.8_LTS.app/Contents/MacOS/Blender" + +# 1. Export G-buffer passes to multilayer EXR +blender4 -b scene.blend -P cnn_v3/training/blender_export.py \ + -- --output /tmp/renders/ -# 2. Pack into sample directory -python3 cnn_v3/training/pack_blender_sample.py \ - --render-dir /tmp/renders/frame_0001/ \ - --output dataset/blender/sample_0001/ +# 2. Pack each EXR into a sample directory +for exr in /tmp/renders/*.exr; do + name=$(basename "${exr%.exr}") + python3 cnn_v3/training/pack_blender_sample.py \ + --exr "$exr" --output /tmp/renders/$name/ +done ``` Each sample directory contains: |