ClothTransformer-dataset / example_load_dataset.py
YuCrazing1's picture
Initial release
75ef0a3
Raw
History Blame Contribute Delete
5.51 kB
#!/usr/bin/env python3
"""
Minimal workable example for the ClothTransformer cloth-simulation dataset.
What it does
------------
1. Loads one simulation `.npz` sample.
2. Prints a summary of every array (shape / dtype / meaning).
3. Shows how to convert the stored per-frame displacements into physical
velocities (world-units per second).
4. Reconstructs the per-triangle collider geometry from the raw arrays.
5. Exports a single frame of the cloth mesh and the collider mesh to OBJ
files so you can open them in any 3D viewer.
Requirements: numpy only.
Usage
-----
python example_load_dataset.py
python example_load_dataset.py --npz sims_grasp_all_case1/sim_00007.npz --frame 120
"""
import argparse
import os
import numpy as np
# Simulation constants (see README.md).
DT = 1.0 / 60.0 # seconds per frame
N_FRAMES = 240 # frames per trajectory
def load_sample(path):
"""Load one .npz sample into a plain dict of numpy arrays."""
with np.load(path) as data:
return {k: data[k] for k in data.files}
def summarize(sample):
"""Print shapes / dtypes and derive the basic dimensions."""
print("Arrays in this sample:")
for k, v in sample.items():
print(f" {k:22s} shape={str(v.shape):20s} dtype={v.dtype}")
n_v = sample["traj"].shape[1] # cloth vertices
n_c = sample["collision_vertices"].shape[1] # collider vertices
n_frames = sample["traj"].shape[0]
print(f"\nCloth : {n_v} vertices, {len(sample['triangles'])} triangles")
print(f"Collider: {n_c} vertices, {len(sample['collision_triangles'])} triangles")
print(f"Frames : {n_frames} (dt = {DT:.6f} s, duration = {n_frames * DT:.3f} s)")
def cloth_rest_pose_and_uv(sample):
"""Split the `initial` field into rest positions and UV coordinates."""
initial = sample["initial"] # (N_v, 6), float64
rest_pos = initial[:, 0:3] # 3D rest position (== traj[0])
uv = initial[:, 3:5] # (u, v); the 6th column is always 0
assert np.allclose(rest_pos, sample["traj"][0]), "rest_pos should equal frame 0"
return rest_pos, uv
def physical_velocity(displacement):
"""Stored arrays are per-frame displacement; divide by DT for units/second."""
return displacement / DT
def reconstruct_collider_triangles(sample):
"""Gather collider vertex positions into per-triangle (T, F_col, 9) form.
This reproduces the convenience `collision` field from the raw arrays.
"""
cv = sample["collision_vertices"] # (T, N_c, 3)
tri = sample["collision_triangles"] # (F_col, 3)
return cv[:, tri.reshape(-1)].reshape(cv.shape[0], -1, 9)
def write_obj(path, verts, faces):
"""Write a triangle mesh (verts: (N,3), faces: (F,3), 0-based) to an OBJ file."""
with open(path, "w") as f:
for x, y, z in verts:
f.write(f"v {x:.6f} {y:.6f} {z:.6f}\n")
for a, b, c in faces: # OBJ is 1-based
f.write(f"f {a + 1} {b + 1} {c + 1}\n")
print(f" wrote {path} ({len(verts)} verts, {len(faces)} faces)")
def main():
here = os.path.dirname(os.path.abspath(__file__))
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--npz",
default=os.path.join(here, "sims_collision_all_static_1k", "sim_00000.npz"),
help="Path to a sim_*.npz file (absolute, or relative to this folder).",
)
parser.add_argument("--frame", type=int, default=120, help="Frame index to export.")
parser.add_argument("--out", default=here, help="Directory for exported OBJ files.")
args = parser.parse_args()
npz_path = args.npz if os.path.isabs(args.npz) else os.path.join(here, args.npz)
print(f"Loading: {npz_path}\n")
sample = load_sample(npz_path)
# 1. Summary --------------------------------------------------------------
summarize(sample)
# 2. Rest pose + UVs ------------------------------------------------------
rest_pos, uv = cloth_rest_pose_and_uv(sample)
print(f"\nUV bounds: u in [{uv[:, 0].min():.3f}, {uv[:, 0].max():.3f}], "
f"v in [{uv[:, 1].min():.3f}, {uv[:, 1].max():.3f}]")
# 3. Displacement -> physical velocity ------------------------------------
f = max(1, min(args.frame, sample["traj"].shape[0] - 1))
cloth_vel = physical_velocity(sample["traj_vel"][f]) # (N_v, 3) units/s
print(f"\nFrame {f}: mean cloth speed = "
f"{np.linalg.norm(cloth_vel, axis=1).mean():.4f} units/s")
# Sanity check: stored displacement equals the position difference.
assert np.allclose(
sample["traj_vel"][f], sample["traj"][f] - sample["traj"][f - 1]
), "traj_vel[t] should equal traj[t] - traj[t-1]"
# 4. Reconstruct collider triangles (matches the stored `collision` field)
recon = reconstruct_collider_triangles(sample)
if "collision" in sample:
ok = np.allclose(recon, sample["collision"])
print(f"Reconstructed collider triangles match `collision` field: {ok}")
# 5. Export one frame to OBJ ----------------------------------------------
print(f"\nExporting frame {f} to OBJ:")
write_obj(os.path.join(args.out, f"cloth_frame{f:03d}.obj"),
sample["traj"][f], sample["triangles"])
write_obj(os.path.join(args.out, f"collider_frame{f:03d}.obj"),
sample["collision_vertices"][f], sample["collision_triangles"])
print("\nDone.")
if __name__ == "__main__":
main()