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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 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | """RFID (reconstruction FID) via torch-fidelity. For stage-2 generation FID,
use the fd_evaluator path via `evaluate_image_set`."""
from torch_fidelity import calculate_metrics
from .utils import ImgArrDataset
def calculate_rfid(
arr1,
arr2=None,
bs=64,
device="cuda",
fid_statistics_file=None,
):
arr1_ds = ImgArrDataset(arr1)
if fid_statistics_file is not None:
metrics_kwargs = dict(
input1=arr1_ds,
input2=None,
fid_statistics_file=fid_statistics_file,
batch_size=bs,
fid=True,
cuda=(device == "cuda"),
)
else:
if arr2 is None:
raise ValueError("Either arr2 or fid_statistics_file must be provided.")
arr2_ds = ImgArrDataset(arr2)
metrics_kwargs = dict(
input1=arr1_ds,
input2=arr2_ds,
batch_size=bs,
fid=True,
cuda=(device == "cuda"),
)
metrics = calculate_metrics(**metrics_kwargs)
return metrics["frechet_inception_distance"]
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