sourceloader_iter = enumerate(test_loader)
targetloader_iter = enumerate(target_loader)
upsample_1024 = nn.Upsample(size=[1024, 2048], mode='bilinear')
model_dict = {}
private_code_size = 8
shared_code_channels = 2048
enc_shared = SharedEncoder().cuda()
#dclf1 = DomainClassifier().cuda()
#dclf2 = DomainClassifier().cuda()
#enc_s = PrivateEncoder(64, private_code_size).cuda()
enc_t = PrivateEncoder(64, private_code_size).cuda()
#dec_s = PrivateDecoder(shared_code_channels, private_code_size).cuda()
dec_t = PrivateDecoder(shared_code_channels, private_code_size).cuda()
#dis_s2t = Discriminator().cuda()
#dis_t2s = Discriminator().cuda()
model_dict['enc_shared'] = enc_shared
model_dict['enc_t'] = enc_t
#model_dict['dec_s'] = dec_s
model_dict['dec_t'] = dec_t
load_models(model_dict, args.weight_dir)
enc_shared.eval()
pin_memory=True)
sourceloader_iter = enumerate(source_loader)
targetloader_iter = enumerate(target_loader)
# Setup Metrics
cty_running_metrics = runningScore(num_classes)
model_dict = {}
# Setup Model
print('building models ...')
enc_shared = SharedEncoder().cuda()
dclf1 = DomainClassifier().cuda()
dclf2 = DomainClassifier().cuda()
enc_s = PrivateEncoder(64, private_code_size).cuda()
enc_t = PrivateEncoder(64, private_code_size).cuda()
dec_s = PrivateDecoder(shared_code_channels, private_code_size).cuda()
dec_t = dec_s
dis_s2t = Discriminator().cuda()
dis_t2s = Discriminator().cuda()
model_dict['enc_shared'] = enc_shared
model_dict['dclf1'] = dclf1
model_dict['dclf2'] = dclf2
model_dict['enc_s'] = enc_s
model_dict['enc_t'] = enc_t
model_dict['dec_s'] = dec_s
model_dict['dec_t'] = dec_t
model_dict['dis_s2t'] = dis_s2t
model_dict['dis_t2s'] = dis_t2s
target2loader_iter = enumerate(target2_loader)
# Setup Metrics
cty_running_metrics = runningScore(num_classes)
model_dict = {}
# Setup Model
print('building models ...')
enc_shared = SharedEncoder().cuda()
dclf1 = DomainClassifier().cuda()
dclf2 = DomainClassifier().cuda()
dclf3 = DomainClassifier().cuda()
enc_sty_s = PrivateEncoder(64, private_code_size).cuda()
enc_sty_t1 = PrivateEncoder(64, private_code_size).cuda()
dec_sty_s = PrivateDecoder(shared_code_channels, private_code_size).cuda()
dec_sty_t1 = dec_sty_s
enc_fog_t1 = PrivateEncoder(64, private_code_size).cuda()
enc_fog_t2 = PrivateEncoder(64, private_code_size).cuda()
dec_fog_t1 = PrivateDecoder(shared_code_channels, private_code_size).cuda()
dec_fog_t2 = dec_fog_t1
enc_dual_s = PrivateEncoder(64, private_code_size).cuda()
enc_dual_t2 = PrivateEncoder(64, private_code_size).cuda()
dec_dual_s = PrivateDecoder(shared_code_channels, private_code_size).cuda()
dec_dual_t2 = dec_dual_s
dis_s2t = Discriminator().cuda()