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4 changes: 2 additions & 2 deletions basicsr/archs/vgg_arch.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
from collections import OrderedDict
from torch import nn as nn
from torchvision.models import vgg as vgg

from torchvision.models import VGG19_Weights
from basicsr.utils.registry import ARCH_REGISTRY

VGG_PRETRAIN_PATH = 'experiments/pretrained_models/vgg19-dcbb9e9d.pth'
Expand Down Expand Up @@ -105,7 +105,7 @@ def __init__(self,
state_dict = torch.load(VGG_PRETRAIN_PATH, map_location=lambda storage, loc: storage)
vgg_net.load_state_dict(state_dict)
else:
vgg_net = getattr(vgg, vgg_type)(pretrained=True)
vgg_net = getattr(vgg, vgg_type)(weights=VGG19_Weights.DEFAULT)

features = vgg_net.features[:max_idx + 1]

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2 changes: 1 addition & 1 deletion basicsr/data/paired_image_dataset.py
Original file line number Diff line number Diff line change
Expand Up @@ -96,7 +96,7 @@ def __getitem__(self, index):
# BGR to RGB, HWC to CHW, numpy to tensor
img_gt, img_lq = img2tensor([img_gt, img_lq], bgr2rgb=True, float32=True)
# normalize
if self.mean is not None or self.std is not None:
if self.mean is not None and self.std is not None:
normalize(img_lq, self.mean, self.std, inplace=True)
normalize(img_gt, self.mean, self.std, inplace=True)

Expand Down