add smoke and fire detection model using damoyolo

新增垂域目标检测模型-基于DAMO_YOLO的烟火检测模型

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11880693

data/test/images/image_smokefire_detection.jpg

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:713082e6967760d5a0d1ae07af62ecc58f9b8b0ab418394556dc5c6c31c27056
+size 63761

tests/pipelines/test_tinynas_detection.py

@@ -196,6 +196,28 @@ class TinynasObjectDetectionTest(unittest.TestCase, DemoCompatibilityCheck):
             OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
         print('results: ', result)
 
+    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
+    def test_smokefire_detection_damoyolo(self):
+        tinynas_object_detection = pipeline(
+            Tasks.domain_specific_object_detection,
+            model='damo/cv_tinynas_object-detection_damoyolo_smokefire')
+        result = tinynas_object_detection(
+            'data/test/images/image_smokefire_detection.jpg')
+        assert result and (OutputKeys.SCORES in result) and (
+            OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
+        print('results: ', result)
+
+    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
+    def test_smokefire_detection_damoyolo_with_image(self):
+        tinynas_object_detection = pipeline(
+            Tasks.domain_specific_object_detection,
+            model='damo/cv_tinynas_object-detection_damoyolo_smokefire')
+        img = Image.open('data/test/images/image_smokefire_detection.jpg')
+        result = tinynas_object_detection(img)
+        assert result and (OutputKeys.SCORES in result) and (
+            OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
+        print('results: ', result)
+
 
 if __name__ == '__main__':
     unittest.main()