| dataset: ShapeNetCar | |
| root: data/mlcfd_data | |
| format: | |
| - npy | |
| - vtk | |
| - txt | |
| - xlsx | |
| - png | |
| statistics: | |
| stats/mean_in.npy: | |
| shape: [7] | |
| dtype: float32 | |
| description_zh: 输入特征归一化均值 | |
| stats/std_in.npy: | |
| shape: [7] | |
| dtype: float32 | |
| description_zh: 输入特征归一化标准差 | |
| stats/mean_out.npy: | |
| shape: [4] | |
| dtype: float32 | |
| description_zh: 输出物理量归一化均值 | |
| stats/std_out.npy: | |
| shape: [4] | |
| dtype: float32 | |
| description_zh: 输出物理量归一化标准差 | |
| training_data: | |
| directory_pattern: training_data/param* | |
| required_files: | |
| Cd.npy: 阻力系数数组 | |
| I1.npy: 输入参数数组 | |
| I2.npy: 输入参数数组 | |
| Press.npy: 表面压力数组 | |
| Velo.npy: 速度场数组 | |
| topo_hexquad.txt: 网格拓扑文本 | |
| preprocessed_data: | |
| directory_pattern: preprocessed_data/param*/<sample_id> | |
| required_files: | |
| x.npy: | |
| shape: [num_nodes, 7] | |
| dtype: float64 | |
| description_zh: 节点输入特征，包含位置、SDF 和法向量等特征 | |
| y.npy: | |
| shape: [num_nodes, 4] | |
| dtype: float64 | |
| description_zh: 目标物理场，前三维为速度，最后一维为压力 | |
| pos.npy: | |
| shape: [num_nodes, 3] | |
| dtype: float32 | |
| description_zh: 节点三维坐标 | |
| surf.npy: | |
| shape: [num_nodes] | |
| dtype: float64 | |
| description_zh: 表面节点掩码 | |
| edge_index.npy: | |
| shape: [2, num_edges] | |
| dtype: int64 | |
| description_zh: 图边索引 | |
| notes_zh: | |
| - training_data/param0 到 param8 对应不同参数折。 | |
| - preprocessed_data 中的样本目录由车辆几何样本 ID 命名。 | |
| - Transolver-Car-Design 标准模型包默认读取 data/mlcfd_data/training_data、data/mlcfd_data/preprocessed_data 和 data/mlcfd_data/stats。 | |