# Copyright The Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from torchmetrics.image.d_lambda import SpectralDistortionIndex
from torchmetrics.image.ergas import ErrorRelativeGlobalDimensionlessSynthesis
from torchmetrics.image.mifid import MemorizationInformedFrechetInceptionDistance
from torchmetrics.image.psnr import PeakSignalNoiseRatio
from torchmetrics.image.psnrb import PeakSignalNoiseRatioWithBlockedEffect
from torchmetrics.image.rase import RelativeAverageSpectralError
from torchmetrics.image.rmse_sw import RootMeanSquaredErrorUsingSlidingWindow
from torchmetrics.image.sam import SpectralAngleMapper
from torchmetrics.image.ssim import MultiScaleStructuralSimilarityIndexMeasure, StructuralSimilarityIndexMeasure
from torchmetrics.image.tv import TotalVariation
from torchmetrics.image.uqi import UniversalImageQualityIndex
from torchmetrics.utilities.imports import _LPIPS_AVAILABLE, _TORCH_FIDELITY_AVAILABLE
__all__ = [
"SpectralDistortionIndex",
"ErrorRelativeGlobalDimensionlessSynthesis",
"PeakSignalNoiseRatio",
"PeakSignalNoiseRatioWithBlockedEffect",
"RelativeAverageSpectralError",
"RootMeanSquaredErrorUsingSlidingWindow",
"SpectralAngleMapper",
"MultiScaleStructuralSimilarityIndexMeasure",
"MemorizationInformedFrechetInceptionDistance",
"StructuralSimilarityIndexMeasure",
"UniversalImageQualityIndex",
"TotalVariation",
]
if _TORCH_FIDELITY_AVAILABLE:
from torchmetrics.image.fid import FrechetInceptionDistance
from torchmetrics.image.inception import InceptionScore
from torchmetrics.image.kid import KernelInceptionDistance
__all__ += [
"FrechetInceptionDistance",
"InceptionScore",
"KernelInceptionDistance",
]
if _LPIPS_AVAILABLE:
from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
__all__.append("LearnedPerceptualImagePatchSimilarity")