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rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE49_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE49_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE50_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE50_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE50_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE50_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE50_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE50_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE50_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE50_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE53_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE53_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE53_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE53_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE53_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE53_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella pneumoniae/KLEPNE53_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella pneumoniae/KLEPNE53_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR5_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR5_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR5_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR5_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR5_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR5_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR5_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR5_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR9_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR9_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR9_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR9_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR9_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR9_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Klebsiella variicola/KLEVAR9_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Klebsiella variicola/KLEVAR9_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG11_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG11_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG11_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG11_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG11_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG11_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG11_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG11_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG13_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG13_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG13_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG13_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG13_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG13_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG13_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG13_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG19_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG19_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG19_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG19_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG19_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG19_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG19_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG19_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG26_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG26_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG26_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG26_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG26_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG26_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Morganella morganii/MORMOG26_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Morganella morganii/MORMOG26_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR14_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR14_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR14_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR14_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR14_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR14_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR14_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR14_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR16_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR16_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR16_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR16_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR16_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR16_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR16_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR16_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR17_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR17_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR17_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR17_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR17_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR17_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR17_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR17_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR19_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR19_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR19_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR19_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR19_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR19_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR19_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR19_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR23_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR23_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR23_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR23_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR23_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR23_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR23_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Proteus mirabilis/PRTMIR23_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Providencia stuartii/PRVSTU1_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Providencia stuartii/PRVSTU1_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Providencia stuartii/PRVSTU1_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Providencia stuartii/PRVSTU1_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Providencia stuartii/PRVSTU1_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Providencia stuartii/PRVSTU1_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Providencia stuartii/PRVSTU1_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Providencia stuartii/PRVSTU1_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR14_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR14_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR14_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR14_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR14_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR14_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR14_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR14_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR15_AER.npy b/data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR15_AER.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR15_AER.npy
rename to data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR15_AER.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR15_ANA.npy b/data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR15_ANA.npy
similarity index 100%
rename from data/processed_data/npy_image/data_training_contrastive/Serratia marcescens/SERMAR15_ANA.npy
rename to data/processed_data/npy_image/data_test_contrastive/Serratia marcescens/SERMAR15_ANA.npy
diff --git a/data/processed_data/npy_image/data_training_contrastive/Citrobacter freundii/CITFRE17_AER.npy b/data/processed_data/npy_image/data_training_contrastive/Citrobacter freundii/CITFRE17_AER.npy
deleted file mode 100644
index 7624c5c77f9731533e1e58df8a5a982e0dcbcdc3..0000000000000000000000000000000000000000
Binary files a/data/processed_data/npy_image/data_training_contrastive/Citrobacter freundii/CITFRE17_AER.npy and /dev/null differ
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR27_AER.npy b/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR27_AER.npy
deleted file mode 100644
index 0848953df5dd01ab5d651ba21a089711cbe2453c..0000000000000000000000000000000000000000
Binary files a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR27_AER.npy and /dev/null differ
diff --git a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR27_ANA.npy b/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR27_ANA.npy
deleted file mode 100644
index f2a56b8a141ab2b9f9fbe498214003929d172a80..0000000000000000000000000000000000000000
Binary files a/data/processed_data/npy_image/data_training_contrastive/Proteus mirabilis/PRTMIR27_ANA.npy and /dev/null differ
diff --git a/image_ref/config.py b/image_ref/config.py
index a63c21726c266d0ed7f134a8952f3d62bf4a5213..3676bcdc2f4702c4d0578e750798b8f69a7a4662 100644
--- a/image_ref/config.py
+++ b/image_ref/config.py
@@ -12,7 +12,8 @@ def load_args_contrastive():
parser.add_argument('--batch_size', type=int, default=64)
parser.add_argument('--positive_prop', type=int, default=None)
parser.add_argument('--model', type=str, default='ResNet18')
- parser.add_argument('--dataset_dir', type=str, default='data/processed_data/npy_image/data_training_contrastive')
+ parser.add_argument('--dataset_train_dir', type=str, default='data/processed_data/npy_image/data_training_contrastive')
+ parser.add_argument('--dataset_val_dir', type=str, default='data/processed_data/npy_image/data_test_contrastive')
parser.add_argument('--dataset_ref_dir', type=str, default='image_ref/img_ref')
parser.add_argument('--output', type=str, default='output/out_contrastive.csv')
parser.add_argument('--save_path', type=str, default='output/best_model_constrastive.pt')
diff --git a/image_ref/dataset_ref.py b/image_ref/dataset_ref.py
index f0f329ce1b9a15fc3471e426d03daa94164f9dc6..0fcfbdf70e9768b1f4a0a31ef588ef5396ae17e3 100644
--- a/image_ref/dataset_ref.py
+++ b/image_ref/dataset_ref.py
@@ -149,7 +149,8 @@ class ImageFolderDuo(data.Dataset):
def __len__(self):
return len(self.imlist)
-def load_data_duo(base_dir, batch_size, shuffle=True, noise_threshold=0, ref_dir = None, positive_prop=None):
+def load_data_duo(base_dir_train, base_dir_test, batch_size, shuffle=True, noise_threshold=0, ref_dir = None, positive_prop=None):
+
train_transform = transforms.Compose(
[transforms.Resize((224, 224)),
Threshold_noise(noise_threshold),
@@ -164,13 +165,8 @@ def load_data_duo(base_dir, batch_size, shuffle=True, noise_threshold=0, ref_dir
transforms.Normalize(0.5, 0.5)])
print('Default val transform')
- train_dataset = ImageFolderDuo(root=base_dir, transform=train_transform, ref_dir = ref_dir, positive_prop=positive_prop)
- val_dataset = ImageFolderDuo(root=base_dir, transform=val_transform, ref_dir = ref_dir, positive_prop=positive_prop)
- generator1 = torch.Generator().manual_seed(42)
- indices = torch.randperm(len(train_dataset), generator=generator1)
- val_size = len(train_dataset) // 5
- train_dataset = torch.utils.data.Subset(train_dataset, indices[:-val_size])
- val_dataset = torch.utils.data.Subset(val_dataset, indices[-val_size:])
+ train_dataset = ImageFolderDuo(root=base_dir_train, transform=train_transform, ref_dir = ref_dir, positive_prop=positive_prop)
+ val_dataset = ImageFolderDuo_Batched(root=base_dir_test, transform=val_transform, ref_dir = ref_dir)
data_loader_train = data.DataLoader(
dataset=train_dataset,
@@ -183,7 +179,7 @@ def load_data_duo(base_dir, batch_size, shuffle=True, noise_threshold=0, ref_dir
data_loader_test = data.DataLoader(
dataset=val_dataset,
- batch_size=batch_size,
+ batch_size=1,
shuffle=shuffle,
num_workers=0,
collate_fn=None,
@@ -231,47 +227,4 @@ class ImageFolderDuo_Batched(data.Dataset):
return batched_imgAER, batched_imgANA, batched_im_ref, batched_label
def __len__(self):
- return len(self.imlist)
-
-def load_data_duo_batched(base_dir, shuffle=True, noise_threshold=0, ref_dir = None):
- train_transform = transforms.Compose(
- [transforms.Resize((224, 224)),
- Threshold_noise(noise_threshold),
- Log_normalisation(),
- transforms.Normalize(0.5, 0.5)])
- print('Default train transform')
-
- val_transform = transforms.Compose(
- [transforms.Resize((224, 224)),
- Threshold_noise(noise_threshold),
- Log_normalisation(),
- transforms.Normalize(0.5, 0.5)])
- print('Default val transform')
-
- train_dataset = ImageFolderDuo_Batched(root=base_dir, transform=train_transform, ref_dir = ref_dir)
- val_dataset = ImageFolderDuo_Batched(root=base_dir, transform=val_transform, ref_dir = ref_dir)
- generator1 = torch.Generator().manual_seed(42)
- indices = torch.randperm(len(train_dataset), generator=generator1)
- val_size = len(train_dataset) // 5
- train_dataset = torch.utils.data.Subset(train_dataset, indices[:-val_size])
- val_dataset = torch.utils.data.Subset(val_dataset, indices[-val_size:])
-
- data_loader_train = data.DataLoader(
- dataset=train_dataset,
- batch_size=1,
- shuffle=shuffle,
- num_workers=0,
- collate_fn=None,
- pin_memory=False,
- )
-
- data_loader_test = data.DataLoader(
- dataset=val_dataset,
- batch_size=1,
- shuffle=shuffle,
- num_workers=0,
- collate_fn=None,
- pin_memory=False,
- )
-
- return data_loader_train, data_loader_test
+ return len(self.imlist)
\ No newline at end of file
diff --git a/image_ref/main.py b/image_ref/main.py
index 82cd816a4192f96e5f3daf5314ee1df043bb2042..dba220ad7967946ee559295f515fd575d3eb79e1 100644
--- a/image_ref/main.py
+++ b/image_ref/main.py
@@ -2,7 +2,7 @@ import matplotlib.pyplot as plt
import numpy as np
from config import load_args_contrastive
-from dataset_ref import load_data_duo_batched, load_data_duo
+from dataset_ref import load_data_duo
import torch
import torch.nn as nn
from model import Classification_model_contrastive, Classification_model_duo_contrastive
@@ -58,7 +58,7 @@ def test_duo(model, data_test, loss_function, epoch):
img_ref = img_ref.cuda()
label = label.cuda()
pred_logits = model.forward(imaer,imana,img_ref)
- pred_class = torch.argmax(pred_logits,dim=1)
+ pred_class = torch.argmax(pred_logits[:,0],dim=1)
acc += (pred_class==label).sum().item()
loss = loss_function(pred_logits,label)
losses += loss.item()
@@ -69,10 +69,9 @@ def test_duo(model, data_test, loss_function, epoch):
def run_duo(args):
#load data
- data_train, data_test = load_data_duo(base_dir=args.dataset_dir, batch_size=args.batch_size,
+ data_train, data_test_batch = load_data_duo(base_dir_train=args.dataset_train_dir, base_dir_test=args.dataset_val_dir, batch_size=args.batch_size,
ref_dir=args.dataset_ref_dir, positive_prop=args.positive_prop)
- data_train_batch, data_test_batch = load_data_duo_batched(base_dir=args.dataset_dir,
- ref_dir=args.dataset_ref_dir)
+
#load model
model = Classification_model_duo_contrastive(model = args.model, n_class=2)
model.double()
@@ -157,10 +156,11 @@ def make_prediction_duo(model, data, f_name, f_name2):
label = label.cuda()
output = model(imaer,imana,img_ref)
confidence_pred_list[specie].append(output[:,0].data.cpu().numpy())
- output = (torch.max(torch.exp(output), 1)[1]).data.cpu().numpy()
+ #Mono class output (only most postive paire
+ output = torch.argmax(output[:,0],dim=1).data.cpu().numpy()
y_pred.extend(output)
- label = label.data.cpu().numpy()
+ label = torch.argmin(label).data.cpu().numpy()
y_true.extend(label) # Save Truth
# constant for classes
@@ -199,4 +199,4 @@ def load_model(model, path):
if __name__ == '__main__':
args = load_args_contrastive()
- run_duo(args)
+ run_duo(args)
\ No newline at end of file