diff --git a/models/__init__.py b/models/__init__.py
index 7928da7df031c790203c18c1933414ef485a038d..85cbd8cac3816e6264269b9e295b280c0e6d7963 100644
--- a/models/__init__.py
+++ b/models/__init__.py
@@ -1 +1,25 @@
+#  Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+#Licensed under the Apache License, Version 2.0 (the "License");
+#you may not use this file except in compliance with the License.
+#You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#Unless required by applicable law or agreed to in writing, software
+#distributed under the License is distributed on an "AS IS" BASIS,
+#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#See the License for the specific language governing permissions and
+#limitations under the License.
+
+from . import resnet
+from . import darknet
+from . import yolov3
+
 from .resnet import *
+from .darknet import *
+from .yolov3 import *
+
+__all__ = resnet.__all__ \
+        + darknet.__all__ \
+        + yolov3.__all__
diff --git a/yolov3/darknet.py b/models/darknet.py
similarity index 99%
rename from yolov3/darknet.py
rename to models/darknet.py
index ae97558684d7212d28b80d10f6bb7af45c1cf292..095cf7d63c628483b3b0842f4c54d81bba75ceb6 100755
--- a/yolov3/darknet.py
+++ b/models/darknet.py
@@ -19,7 +19,7 @@ from paddle.fluid.regularizer import L2Decay
 from paddle.fluid.dygraph.nn import Conv2D, BatchNorm
 
 from model import Model
-from download import get_weights_path
+from .download import get_weights_path
 
 __all__ = ['DarkNet53', 'ConvBNLayer', 'darknet53']
 
diff --git a/yolov3/modeling.py b/models/yolov3.py
similarity index 98%
rename from yolov3/modeling.py
rename to models/yolov3.py
index 699fadb10a2cb6654f139f1014cfd11e4fb178b9..c2bbc88ee27cb08269bd2a986ff7b55b4f199999 100644
--- a/yolov3/modeling.py
+++ b/models/yolov3.py
@@ -21,10 +21,10 @@ from paddle.fluid.param_attr import ParamAttr
 from paddle.fluid.regularizer import L2Decay
 
 from model import Model, Loss
-from download import get_weights_path
-from darknet import darknet53, ConvBNLayer
+from .darknet import darknet53, ConvBNLayer
+from .download import get_weights_path
 
-__all__ = ['YoloLoss', 'YOLOv3']
+__all__ = ['YoloLoss', 'YOLOv3', 'yolov3_darknet53']
 
 # {num_layers: (url, md5)}
 pretrain_infos = {
diff --git a/yolov3/infer.py b/yolov3/infer.py
index 612e5175181106f575bf2929ea1d1a7cf71e5e3b..f19e86615a0b1c8c57f3469f5a5bdcaa85535e9c 100644
--- a/yolov3/infer.py
+++ b/yolov3/infer.py
@@ -25,7 +25,8 @@ from paddle.fluid.optimizer import Momentum
 from paddle.fluid.io import DataLoader
 
 from model import Model, Input, set_device
-from modeling import yolov3_darknet53, YoloLoss
+from models import yolov3_darknet53, YoloLoss
+
 from coco import COCODataset
 from transforms import *
 from visualizer import draw_bbox
diff --git a/yolov3/main.py b/yolov3/main.py
index de4fd7c95d4856a6623fa9f6c5d871fe26d60283..c659b5f2470ffa0c8bcbe0a9ad8d76ca52e28aa0 100644
--- a/yolov3/main.py
+++ b/yolov3/main.py
@@ -27,7 +27,8 @@ from paddle.fluid.io import DataLoader
 
 from model import Model, Input, set_device
 from distributed import DistributedBatchSampler
-from modeling import yolov3_darknet53, YoloLoss
+from models import yolov3_darknet53, YoloLoss
+
 from coco_metric import COCOMetric
 from coco import COCODataset
 from transforms import *