revert the remove_low_object

Author: SangbumChoi

src/transformers/models/deta/image_processing_deta.py

@@ -1113,7 +1113,7 @@ def post_process_object_detection(
             nms_threshold (`float`, *optional*, defaults to 0.7):
                 NMS threshold.
             num_nms (`int`, *optional*, defaults to 100):
-                Number of objects threshold. 
+                Number of objects threshold.
 
         Returns:
             `List[Dict]`: A list of dictionaries, each dictionary containing the scores, labels and boxes for an image

src/transformers/models/mask2former/image_processing_mask2former.py

@@ -1121,10 +1121,6 @@ def post_process_instance_segmentation(
             pred_scores = scores_per_image * mask_scores_per_image
             pred_classes = labels_per_image
 
-            mask_pred, pred_scores, pred_classes = remove_low_and_no_objects(
-                mask_pred, pred_scores, pred_classes, threshold, num_classes
-            )
-
             segmentation = torch.zeros((384, 384)) - 1
             if target_sizes is not None:
                 size = target_sizes[i] if isinstance(target_sizes[i], tuple) else target_sizes[i].cpu().tolist()