File size: 1,380 Bytes
e9aca9c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | dataset: Eagle
format:
simulation: npz
mesh_cells: npy
clusters: npy
sample_unit: one geometry trajectory directory, for example Tri/174/2
required_files:
- sim.npz
- triangles.npy
- constrained_kmeans_10.npy
- constrained_kmeans_20.npy
- constrained_kmeans_30.npy
- constrained_kmeans_40.npy
sim_npz_keys:
pointcloud:
shape: [time, nodes, 2]
dtype: float32
description_zh: 二维网格节点坐标
mask:
shape: [time, nodes]
dtype: int8
description_zh: 节点类型编码
VX:
shape: [time, nodes]
dtype: float32
description_zh: x 方向速度
VY:
shape: [time, nodes]
dtype: float32
description_zh: y 方向速度
PS:
shape: [time, nodes]
dtype: float32
description_zh: 静压分量
PG:
shape: [time, nodes]
dtype: float32
description_zh: 压力梯度或压力相关分量
mesh:
triangles.npy:
shape: [time, cells, 3]
dtype: int64
clusters:
constrained_kmeans_10.npy:
shape: [time, cluster_groups, 10]
dtype: int32
constrained_kmeans_20.npy:
shape: [time, cluster_groups, 20]
dtype: int32
constrained_kmeans_30.npy:
shape: [time, cluster_groups, 30]
dtype: int32
constrained_kmeans_40.npy:
shape: [time, cluster_groups, 40]
dtype: int32
splits:
train: metadata/train.txt
valid: metadata/valid.txt
test: metadata/test.txt
|