perf: shallow copy instead of deepcopy

perception_eval/perception_eval/evaluation/matching/objects_filter.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from copy import copy
 from typing import Dict
 from typing import List
 from typing import Optional
@@ -123,7 +124,7 @@ def filter_object_results(
             is_target = False
 
         if is_target:
-            filtered_object_results.append(object_result)
+            filtered_object_results.append(copy(object_result))
 
     return filtered_object_results
 
@@ -198,7 +199,7 @@ def filter_objects(
             transforms=transforms,
         )
         if is_target:
-            filtered_objects.append(object_)
+            filtered_objects.append(copy(object_))
     return filtered_objects
 
 

perception_eval/perception_eval/evaluation/result/perception_frame_result.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 from __future__ import annotations
-
+from copy import copy
 from typing import Dict
 from typing import List
 from typing import Optional
@@ -89,6 +89,23 @@ def __init__(
             transforms=frame_ground_truth.transforms,
         )
 
+    def copy_with_shallow_results(self) -> PerceptionFrameResult:
+        """
+        Create a shallow copy of the current PerceptionFrameResult instance.
+
+        This method creates a new instance of PerceptionFrameResult by performing a shallow copy
+        of the current instance. The `metrics_score` and `pass_fail_result` attributes are also
+        shallow copied to the new instance.
+
+        Returns:
+            PerceptionFrameResult: A new instance of PerceptionFrameResult with shallow copied attributes.
+        """
+
+        new_instance = copy(self)
+        new_instance.metrics_score = copy(self.metrics_score)
+        new_instance.pass_fail_result = copy(self.pass_fail_result)
+        return new_instance
+
     def evaluate_frame(
         self,
         previous_result: Optional[PerceptionFrameResult] = None,

perception_eval/perception_eval/tool/utils.py

@@ -475,7 +475,7 @@ def filter_frame_by_distance(
     Returns:
         PerceptionFrameResult: Filtered frame results.
     """
-    ret_frame = deepcopy(frame)
+    ret_frame = frame.copy_with_shallow_results()
 
     if min_distance is not None:
         min_distance_list = [min_distance] * len(ret_frame.target_labels)