change paths delimiters

inference_2.py

@@ -10,7 +10,7 @@ from models import image
 
 from onnx2pytorch import ConvertModel
 
-onnx_model = onnx.load('checkpoints\\efficientnet.onnx')
+onnx_model = onnx.load('checkpoints/efficientnet.onnx')
 pytorch_model = ConvertModel(onnx_model)
 
 #Set random seed for reproducibility.
@@ -75,7 +75,7 @@ def model_summary(args):
 def load_multimodal_model(args):
     '''Load multimodal model'''
     model = ETMC(args)
-    ckpt = torch.load('checkpoints\\model.pth', map_location = torch.device('cpu'))
+    ckpt = torch.load('checkpoints/model.pth', map_location = torch.device('cpu'))
     model.load_state_dict(ckpt, strict = True)
     model.eval()
     return model
@@ -84,7 +84,7 @@ def load_img_modality_model(args):
     '''Loads image modality model.'''
     rgb_encoder = pytorch_model
 
-    ckpt = torch.load('checkpoints\\model.pth', map_location = torch.device('cpu'))
+    ckpt = torch.load('checkpoints/model.pth', map_location = torch.device('cpu'))
     rgb_encoder.load_state_dict(ckpt['rgb_encoder'], strict = True)
     rgb_encoder.eval()
     return rgb_encoder