Fix OV batch inference (saliency map generation) (#1965)

Fix OV batch SM infer

Author: Evgeny Tsykunov

otx/algorithms/classification/tasks/openvino.py

@@ -273,7 +273,7 @@ def explain(
             dataset_item.append_labels(item_labels)
             add_saliency_maps_to_dataset_item(
                 dataset_item=dataset_item,
-                saliency_map=np.copy(saliency_map),
+                saliency_map=saliency_map,
                 model=self.model,
                 labels=self.task_environment.get_labels(),
                 predicted_scored_labels=item_labels,

otx/algorithms/detection/tasks/openvino.py

@@ -465,7 +465,7 @@ def explain(
 
             add_saliency_maps_to_dataset_item(
                 dataset_item=dataset_item,
-                saliency_map=np.copy(saliency_map),
+                saliency_map=saliency_map,
                 model=self.model,
                 labels=labels,
                 predicted_scored_labels=predicted_scored_labels,

otx/api/entities/result_media.py

@@ -82,7 +82,7 @@ def __init__(
         self.annotation_scene = annotation_scene
         self.roi = Annotation(Rectangle.generate_full_box(), labels=[]) if roi is None else roi
         self.label = label
-        self.numpy = numpy
+        self.numpy = np.copy(numpy)
 
     def __repr__(self):
         """Returns a string with all the attributes of the ResultMediaEntity."""