(face) Update tests to assert if images are properly loaded

image_recognition_face_recognition/test/test_import.py

@@ -22,7 +22,7 @@ def test_import(self):
 
     def test_get_embedding(self):
         """ 
-        Test the get_embedding method dimentions 
+        Test the get_embedding method dimensions 
         """
         # Create a dummy image tensor [batch_size, C, H, W]
         dummy_image = torch.randn(1, 3, 160, 160)
@@ -65,12 +65,14 @@ def test_detect(self):
         """
         # Test with an image containing one face
         single_face_image = cv2.imread('doc/1.jpg')
+        self.assertIsNotNone(single_face_image, "Failed to load image: doc/1.jpg")
         recognized_faces = self.face_recognizer.detect(single_face_image)
         self.assertIsInstance(recognized_faces, list)
         self.assertEqual(len(recognized_faces), 1)  # Expect exactly 1 face
 
         # Test with an image containing multiple faces
         multiple_faces_image = cv2.imread('doc/example.png')
+        self.assertIsNotNone(multiple_faces_image, "Failed to load image: doc/example.png")
         recognized_faces = self.face_recognizer.detect(multiple_faces_image)
         self.assertIsInstance(recognized_faces, list)
         self.assertGreaterEqual(len(recognized_faces), 6)  # Expect at least 2 faces