Add test for deepsparse.yolov8.annotate

.github/workflows/test-check.yaml

@@ -45,7 +45,7 @@ jobs:
       - name: "Clean sparsezoo directory"
         run: rm -r sparsezoo/
       - name: ⚙️ Install dependencies
-        run: pip install .[dev,server,image_classification,transformers,clip]
+        run: pip install .[dev,server,image_classification,yolov8,transformers,clip]
       - name: Run base tests
         run: make test
   cli-smoke-tests:

tests/deepsparse/pipelines/test_yolov8_pipeline.py

@@ -0,0 +1,44 @@
+# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+from typing import Dict, List
+
+import pytest
+from tests.helpers import run_command
+
+
+@pytest.mark.smoke
+def test_yolov8_annotate(cleanup: Dict[str, List]):
+    sample_img_path = f"{os.path.dirname(__file__)}/sample_images/basilica.jpg"
+    cmd = [
+        "deepsparse.yolov8.annotate",
+        "--source",
+        sample_img_path,
+        "--model_filepath",
+        "zoo:yolov8-n-coco-base_quantized",
+    ]
+    expected_output_path = "annotation-results/deepsparse-annotations/result-0.jpg"
+
+    cleanup["files"].append(expected_output_path)
+    print(f"\n==== test_yolov8_annotate command ====\n{' '.join(cmd)}")
+    res = run_command(cmd)
+    if res.stdout is not None:
+        print(f"\n==== test_yolov8_annotate output ====\n{res.stdout}")
+    assert res.returncode == 0
+    assert "error" not in res.stdout.lower()
+    assert "fail" not in res.stdout.lower()
+
+    # check output file exists
+    assert os.path.exists(expected_output_path)