import datasets import numpy as np test_ds = datasets.load_dataset("dataset/rotor37_data.py", split="test") test_ds = test_ds.with_format("torch") print(test_ds) train_ds = datasets.load_dataset("dataset/rotor37_data.py", split="train") train_ds = train_ds.with_format("torch") print(train_ds) # save pointcloud to txt for paraview viz for idx, blade in enumerate(test_ds): pc = blade["positions"] # unnormalize pc = pc * blade["std"] + blade["mean"] print(f"Saving point cloud {idx}...") np.savetxt(f"pc_{idx}.txt", pc) if idx >= 10: break