Add numpy conversion to shape

Author: sovrasov

src/python/model_api/models/result/segmentation.py

@@ -167,10 +167,10 @@ def __init__(
         shape: np.ndarray | list[tuple[int, int]],
         excluded_shapes: list[np.ndarray] | list[tuple[int, int]] | None = None,
     ):
-        self.shape = shape
+        self.shape = np.array(shape)
         self.label = label
         self.probability = probability
-        self.excluded_shapes = excluded_shapes
+        self.excluded_shapes = np.array(excluded_shapes) if excluded_shapes is not None else None
 
     def __str__(self):
         num_children = len(self.excluded_shapes) if self.excluded_shapes is not None else 0

tests/python/unit/results/test_sseg_result.py

@@ -0,0 +1,22 @@
+#
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
+
+import numpy as np
+from model_api.models.result import Contour
+
+
+def test_contour_type():
+    contour = Contour(
+        shape=[(100, 100)],
+        label=1,
+        probability=0.9,
+        excluded_shapes=[(50, 50), (60, 60)],
+    )
+
+    assert isinstance(contour.shape, np.ndarray)
+    assert isinstance(contour.excluded_shapes, np.ndarray)
+    assert contour.label == 1
+    assert contour.probability == 0.9
+    assert np.array_equal(contour.excluded_shapes, np.array([(50, 50), (60, 60)]))