Attempt to fix serving_api tests

Author: RHeckerIntel

.github/workflows/test_accuracy.yml

@@ -42,7 +42,7 @@ jobs:
           mkdir build && cd build
           pip install nanobind==2.4.0
           pip install typing_extensions==4.12.2
-          cmake ../tests/cpp/accuracy/
+          cmake ../tests/cpp
           make -j
       - name: Run CPP Test
         run: |

src/cpp/install_dependencies.sh

@@ -0,0 +1,16 @@
+#!/bin/bash
+
+# Added required keys / do the update
+wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
+
+apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
+
+echo "deb https://apt.repos.intel.com/openvino/2025 ubuntu22 main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2025.list
+
+apt update
+
+#Install OpenCV
+apt-get install libopencv-dev
+
+# Install OpenVINO
+sudo apt install openvino-2025.0.0

tests/cpp/precommit/prepare_data.py

@@ -0,0 +1,83 @@
+import argparse
+import json
+import os
+from pathlib import Path
+from urllib.request import urlopen, urlretrieve
+
+
+def retrieve_otx_model(data_dir, model_name, format="xml"):
+    destination_folder = os.path.join(data_dir, "otx_models")
+    os.makedirs(destination_folder, exist_ok=True)
+    if format == "onnx":
+        urlretrieve(
+            f"https://storage.openvinotoolkit.org/repositories/model_api/test/otx_models/{model_name}/model.onnx",
+            f"{destination_folder}/{model_name}.onnx",
+        )
+    else:
+        urlretrieve(
+            f"https://storage.openvinotoolkit.org/repositories/model_api/test/otx_models/{model_name}/openvino.xml",
+            f"{destination_folder}/{model_name}.xml",
+        )
+        urlretrieve(
+            f"https://storage.openvinotoolkit.org/repositories/model_api/test/otx_models/{model_name}/openvino.bin",
+            f"{destination_folder}/{model_name}.bin",
+        )
+
+
+def prepare_model(
+    data_dir="./data",
+    public_scope=Path(__file__).resolve().parent / "public_scope.json",
+):
+    # TODO refactor this test so that it does not use eval
+    # flake8: noqa: F401
+    from model_api.models import ClassificationModel, DetectionModel, SegmentationModel
+
+    with open(public_scope, "r") as f:
+        public_scope = json.load(f)
+
+    for model in public_scope:
+        if model["name"].endswith(".xml") or model["name"].endswith(".onnx"):
+            continue
+        model = eval(model["type"]).create_model(model["name"], download_dir=data_dir)
+
+
+def prepare_data(data_dir="./data"):
+    from io import BytesIO
+    from zipfile import ZipFile
+
+    COCO128_URL = "https://ultralytics.com/assets/coco128.zip"
+
+    with urlopen(COCO128_URL) as zipresp:
+        with ZipFile(BytesIO(zipresp.read())) as zfile:
+            zfile.extractall(data_dir)
+
+    urlretrieve(
+        "https://raw.githubusercontent.com/Shenggan/BCCD_Dataset/master/BCCD/JPEGImages/BloodImage_00007.jpg",
+        os.path.join(data_dir, "BloodImage_00007.jpg"),
+    )
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Data and model preparate script")
+    parser.add_argument(
+        "-d",
+        dest="data_dir",
+        default="./data",
+        help="Directory to store downloaded models and datasets",
+    )
+    parser.add_argument(
+        "-p",
+        dest="public_scope",
+        default=Path(__file__).resolve().parent / "public_scope.json",
+        help="JSON file with public model description",
+    )
+
+    args = parser.parse_args()
+
+    prepare_model(args.data_dir, args.public_scope)
+    prepare_data(args.data_dir)
+    retrieve_otx_model(args.data_dir, "mlc_mobilenetv3_large_voc")
+    retrieve_otx_model(args.data_dir, "detection_model_with_xai_head")
+    retrieve_otx_model(args.data_dir, "Lite-hrnet-18_mod2")
+    retrieve_otx_model(args.data_dir, "tinynet_imagenet")
+    retrieve_otx_model(args.data_dir, "cls_mobilenetv3_large_cars", "onnx")

tests/cpp/precommit/public_scope.json

@@ -0,0 +1,18 @@
+[
+  {
+    "name": "otx_models/detection_model_with_xai_head.xml",
+    "type": "DetectionModel"
+  },
+  {
+    "name": "otx_models/mlc_mobilenetv3_large_voc.xml",
+    "type": "ClassificationModel"
+  },
+  {
+    "name": "otx_models/Lite-hrnet-18_mod2.xml",
+    "type": "SegmentationModel"
+  },
+  {
+    "name": "otx_models/tinynet_imagenet.xml",
+    "type": "ClassificationModel"
+  }
+]