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32da3e8 | 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 | """Lightweight eval data utilities. LPIPS lives in disc/lpips.py."""
import numpy as np
import torch
from torch.utils.data import Dataset
class ImgArrDataset(Dataset):
"""Wrapper for torch-fidelity FID calculation — expects [B, H, W, C] uint8 arrays."""
def __init__(self, arr):
self.arr = arr
def __len__(self):
return len(self.arr)
def __getitem__(self, idx):
return torch.from_numpy(self.arr[idx]).permute(2, 0, 1)
def to_torch_tensor(np_array: np.ndarray) -> torch.Tensor:
"""Convert (B, H, W, C) NumPy array to (B, C, H, W) float32 tensor in [0, 1]."""
tensor = torch.from_numpy(np_array).permute(0, 3, 1, 2).float()
if tensor.max() > 1.0:
tensor = tensor / 255.0
return tensor
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