Merge

research/object_detection/meta_architectures/faster_rcnn_meta_arch.py

@@ -1949,11 +1949,10 @@ class FasterRCNNMetaArch(model.DetectionModel):
     Returns:
       A float32 tensor with shape [K, new_height, new_width, depth].
     """
-    features_to_crop = [features_to_crop]
     num_levels = len(features_to_crop)
     box_levels = None
     if num_levels != 1:
-      # If there are multiple levels to select, get the box levels
+      # If there are mutiple levels to select, get the box levels
       box_levels = ops.fpn_feature_levels(num_levels, num_levels - 1,
                                           1.0/224, proposal_boxes_normalized)
     cropped_regions = self._flatten_first_two_dimensions(