fix : make_prediction

image_ref/config.py

@@ -4,7 +4,7 @@ import argparse
 def load_args_contrastive():
     parser = argparse.ArgumentParser()
 
-    parser.add_argument('--epoches', type=int, default=3)
+    parser.add_argument('--epoches', type=int, default=1)
     parser.add_argument('--save_inter', type=int, default=50)
     parser.add_argument('--eval_inter', type=int, default=1)
     parser.add_argument('--noise_threshold', type=int, default=0)

image_ref/main.py

@@ -160,18 +160,12 @@ def make_prediction_duo(model, data, f_name, f_name2):
             img_ref = img_ref.cuda()
             label = label.cuda()
         output = model(imaer,imana,img_ref)
-        print(output, label)
         confidence_pred_list[specie].append(output[:,0].data.cpu().numpy())
         #Mono class output (only most postive paire)
         output = torch.argmax(output[:,0])
         label = torch.argmin(label)
-
-        print(output, label)
-        y_pred.extend(output)
-
-        label = torch.argmin(label)
-        print(output, label)
-        y_true.extend(label)  # Save Truth
+        y_pred.append(output.tolist())
+        y_true.append(label.tolist())  # Save Truth
     # constant for classes
 
     # Build confusion matrix