Panda3D procedural geometric dungeon prototype
Project description
GPU / CUDA 設定
このプロジェクトは起動時に CUDA とマルチGPUの可視化を自動判定します(torch または cupy が入っている場合)。
SOULSYM_ENABLE_CUDA=1で CUDA 判定を有効化(既定:1)SOULSYM_ENABLE_MULTI_GPU=1で複数GPUを可視化(既定:1)SOULSYM_CUDA_DEVICES=0,1のように指定すると使用GPUを固定
PowerShell 例:
$env:SOULSYM_ENABLE_CUDA="1"
$env:SOULSYM_ENABLE_MULTI_GPU="1"
$env:SOULSYM_CUDA_DEVICES="0,1"
python main.py
注意:
- Panda3Dのレンダリング自体は通常1GPUで動作します。
- この設定は CUDA の利用可否と可視GPUを制御するための実行時設定です。
Panda3D Procedural Geometric Dungeon
This prototype uses a BSP-first hybrid generator optimized for geometric rooms and architecture-heavy features:
- Rectilinear rooms and hallways via BSP partitioning
- Connectivity via MST + a few extra loops
- Architectural modules: stairs, ramps, pillars, dome accents, wall decorations
Why this approach
For geometric dungeons, BSP provides clean, structured spaces and predictable corridors. It is easier to compose with modular architecture than cave-focused methods like cellular automata.
Setup
python -m pip install -r requirements.txt
python main.py
Controls
WASD: move- Mouse: look
Esc: toggle mouse lock
Notes
- This is intentionally lightweight and code-first.
- Meshes are built from Panda3D primitive models and transforms for fast iteration.
WebGL (Arch WSL2)
Web 向けビルドは Arch WSL2 前提の手順を用意しています。
- ガイド: docs/webgl-arch-wsl2.md
- セットアップ:
bash scripts/setup_arch_webgl.sh - Panda3D WebGLビルド:
bash scripts/build_panda_webgl.sh - プロジェクト用freezifyスターター:
python scripts/freezify.py
注: 本プロジェクト固有の freezify.py は別途調整が必要です(ガイド参照)。
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