Update OV to 2023.1

requirements/base.txt

@@ -4,7 +4,7 @@ natsort>=6.0.0
 prettytable
 protobuf>=3.20.0
 pyyaml
-datumaro~=1.5.0
+datumaro~=1.6.0rc0
 psutil
 scipy>=1.8
 bayesian-optimization>=1.2.0

requirements/openvino.txt

@@ -3,6 +3,6 @@
 nncf==2.6.0
 onnx==1.13.0
 openvino-model-api==0.1.5
-openvino==2023.0
-openvino-dev==2023.0
+openvino==2023.1.0
+openvino-dev==2023.1.0
 openvino-telemetry>=2022.1.0

src/otx/api/usecases/exportable_code/demo/requirements.txt

@@ -1,4 +1,4 @@
-openvino==2023.0
+openvino==2023.1.0
 openvino-model-api==0.1.5
-otx @ git+https://github.com/openvinotoolkit/training_extensions/@e066a04834952257c1c9384a09f472d13b76b264#egg=otx
+otx @ git+https://github.com/openvinotoolkit/training_extensions/@8eb0045b00ac76d320218c981510a366a3aab1a5#egg=otx
 numpy>=1.21.0,<=1.23.5  # np.bool was removed in 1.24.0 which was used in openvino runtime

tests/e2e/cli/instance_segmentation/test_instance_segmentation.py

@@ -152,7 +152,7 @@ def test_otx_eval(self, template, tmp_dir_path):
     @pytest.mark.parametrize("half_precision", [True, False])
     def test_otx_eval_openvino(self, template, tmp_dir_path, half_precision):
         tmp_dir_path = tmp_dir_path / "ins_seg"
-        otx_eval_openvino_testing(template, tmp_dir_path, otx_dir, args, threshold=0.2, half_precision=half_precision)
+        otx_eval_openvino_testing(template, tmp_dir_path, otx_dir, args, threshold=0.1, half_precision=half_precision)
 
     @e2e_pytest_component
     @pytest.mark.skipif(TT_STABILITY_TESTS, reason="This is TT_STABILITY_TESTS")