Convert labels to int in det result

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

@@ -34,7 +34,7 @@ def __init__(
     ):
         super().__init__()
         self._bboxes = bboxes
-        self._labels = labels
+        self._labels = labels.astype(np.int32)
         self._scores = scores if scores is not None else np.zeros(len(bboxes))
         self._label_names = ["#"] * len(bboxes) if label_names is None else label_names
         self._saliency_map = saliency_map

src/python/pyproject.toml

@@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "openvino_model_api"
-version = "0.3.0"
+version = "0.3.0.1"
 requires-python = ">=3.9"
 authors = [
   {name = "Intel(R) Corporation"},

tests/python/unit/results/test_det_result.py

@@ -0,0 +1,17 @@
+#
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
+
+import numpy as np
+from model_api.models.result import DetectionResult
+
+
+def test_cls_result():
+    tst_vector = np.array([1, 2, 3, 4], dtype=np.float32)
+    det_result = DetectionResult(
+        tst_vector, tst_vector, tst_vector, ["a"], tst_vector, tst_vector
+    )
+
+    assert det_result.labels.dtype == np.int32
+    assert len(det_result.label_names) == 1