diff --git a/export.py b/export.py
index 55908c075f95..a825a73b2d3c 100644
--- a/export.py
+++ b/export.py
@@ -180,7 +180,7 @@ def export_openvino(model, file, half, prefix=colorstr('OpenVINO:')):
 
         cmd = f"mo --input_model {file.with_suffix('.onnx')} --output_dir {f} --data_type {'FP16' if half else 'FP32'}"
         subprocess.check_output(cmd.split())  # export
-        with open(Path(f) / file.with_suffix('.yaml'), 'w') as g:
+        with open(Path(f) / file.with_suffix('.yaml').name, 'w') as g:
             yaml.dump({'stride': int(max(model.stride)), 'names': model.names}, g)  # add metadata.yaml
 
         LOGGER.info(f'{prefix} export success, saved as {f} ({file_size(f):.1f} MB)')
diff --git a/models/common.py b/models/common.py
index 547a4c946a9f..bad55b4024c0 100644
--- a/models/common.py
+++ b/models/common.py
@@ -368,7 +368,7 @@ def __init__(self, weights='yolov5s.pt', device=torch.device('cpu'), dnn=False,
             network = ie.read_model(model=w, weights=Path(w).with_suffix('.bin'))
             executable_network = ie.compile_model(model=network, device_name="CPU")
             output_layer = next(iter(executable_network.outputs))
-            meta = w.with_suffix('.yaml')
+            meta = Path(w).with_suffix('.yaml')
             if meta.exists():
                 stride, names = self._load_metadata(meta)  # load metadata
         elif engine:  # TensorRT