remove unnecessary

research/object_detection/meta_architectures/context_rcnn_lib.py

@@ -220,5 +220,5 @@ def compute_box_context_attention(box_features, context_features,
 
   # Expands the dimension back to match with the original feature map.
   output_features = output_features[:, :, tf.newaxis, tf.newaxis, :]
-  return output_features
 
+  return output_features
\ No newline at end of file

research/object_detection/meta_architectures/detr_meta_arch.py

-import abc
-import collections
-import functools
-import numpy as np
-import tensorflow.compat.v1 as tf
-import tensorflow.compat.v2 as tf2
-
-from object_detection.core import box_list
-from object_detection.core import box_list_ops
-from object_detection.core import keypoint_ops
-from object_detection.core import model
-from object_detection.core import standard_fields as fields
-from object_detection.core import target_assigner as cn_assigner
-from object_detection.utils import shape_utils
-
-
-class DETRMetaArch(model.DetectionModel):
-    def __init__():
-
-    
\ No newline at end of file