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resnext discriminator

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James Betker 2020-10-01 11:48:14 -06:00
parent 55f2764fef
commit 8beaa47933
1 changed files with 4 additions and 0 deletions
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codes/models/networks.py
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@ -12,6 +12,7 @@ import models.archs.SPSR_arch as spsr
import models.archs.StructuredSwitchedGenerator as ssg import models.archs.StructuredSwitchedGenerator as ssg
import models.archs.rcan as rcan import models.archs.rcan as rcan
from collections import OrderedDict from collections import OrderedDict
import torchvision
logger = logging.getLogger('base') logger = logging.getLogger('base')
@ -126,6 +127,9 @@ def define_D_net(opt_net, img_sz=None, wrap=False):
netD = DiscriminatorResnet_arch_passthrough.fixup_resnet34(num_filters=opt_net['nf'], num_classes=1, input_img_size=img_sz, netD = DiscriminatorResnet_arch_passthrough.fixup_resnet34(num_filters=opt_net['nf'], num_classes=1, input_img_size=img_sz,
number_skips=opt_net['number_skips'], use_bn=True, number_skips=opt_net['number_skips'], use_bn=True,
disable_passthrough=opt_net['disable_passthrough']) disable_passthrough=opt_net['disable_passthrough'])
elif which_model == 'resnext':
netD = torchvision.models.resnext50_32x4d(pretrained=True)
netD.fc = torch.nn.Linear(512 * 4, 1)
elif which_model == 'discriminator_pix': elif which_model == 'discriminator_pix':
netD = SRGAN_arch.Discriminator_VGG_PixLoss(in_nc=opt_net['in_nc'], nf=opt_net['nf']) netD = SRGAN_arch.Discriminator_VGG_PixLoss(in_nc=opt_net['in_nc'], nf=opt_net['nf'])
elif which_model == "discriminator_unet": elif which_model == "discriminator_unet":