diff --git a/dataset/coco/download_coco.py b/dataset/coco/download_coco.py
index b3ad1e23bd437885f904b21e1ba24b32047c423a..47659fa76dd2c1183404667efac3a48de9b099c2 100644
--- a/dataset/coco/download_coco.py
+++ b/dataset/coco/download_coco.py
@@ -15,6 +15,10 @@
 import sys
 import os.path as osp
 import logging
+# add python path of PadleDetection to sys.path
+parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.utils.download import download_dataset
 
diff --git a/dataset/fruit/download_fruit.py b/dataset/fruit/download_fruit.py
index 6aa41ba4cb4fcdf52215aaecb5ee3ff660b7041e..2db2e207210c4bab39e8dfdb3abe91a51c49af1f 100644
--- a/dataset/fruit/download_fruit.py
+++ b/dataset/fruit/download_fruit.py
@@ -15,6 +15,10 @@
 import sys
 import os.path as osp
 import logging
+# add python path of PadleDetection to sys.path
+parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.utils.download import download_dataset
 
diff --git a/dataset/voc/create_list.py b/dataset/voc/create_list.py
index c2cef1159b7cba5ff0803a9e1af87e05d998addb..5ab804222aa14cce988fd0aa083a460372afb484 100644
--- a/dataset/voc/create_list.py
+++ b/dataset/voc/create_list.py
@@ -15,6 +15,10 @@
 import sys
 import os.path as osp
 import logging
+# add python path of PadleDetection to sys.path
+parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.utils.download import create_voc_list
 
diff --git a/dataset/voc/download_voc.py b/dataset/voc/download_voc.py
index 31ed46f6c652c2b0df1c4ad58247e8a7346c5155..e4c449ce207f27f07379a1e93cebcb27ace0b8fe 100644
--- a/dataset/voc/download_voc.py
+++ b/dataset/voc/download_voc.py
@@ -15,6 +15,10 @@
 import sys
 import os.path as osp
 import logging
+# add python path of PadleDetection to sys.path
+parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.utils.download import download_dataset
 
diff --git a/docs/advanced_tutorials/TRANSFER_LEARNING.md b/docs/advanced_tutorials/TRANSFER_LEARNING.md
index 176c46ea65367dbc8f7ce3932b4829963cd8199c..975b85ccbb469cb00257035b973cd5fc4ba7525d 100644
--- a/docs/advanced_tutorials/TRANSFER_LEARNING.md
+++ b/docs/advanced_tutorials/TRANSFER_LEARNING.md
@@ -15,7 +15,6 @@ In transfer learning, it's needed to load pretrained model selectively. Two ways
 The parameters which have diffierent shape between model and pretrain\_weights are ignored automatically. For example:
 
 ```python
-export PYTHONPATH=$PYTHONPATH:.
 export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 python -u tools/train.py -c configs/faster_rcnn_r50_1x.yml \
                       -o pretrain_weights=https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_1x.tar
@@ -29,7 +28,6 @@ The parameters which need to ignore can be specified explicitly as well and arbi
 - Set `finetune_exclude_pretrained_params` in command line. For example:
 
 ```python
-export PYTHONPATH=$PYTHONPATH:.
 export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 python -u tools/train.py -c configs/faster_rcnn_r50_1x.yml \
                         -o pretrain_weights=https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_1x.tar \
diff --git a/docs/advanced_tutorials/TRANSFER_LEARNING_cn.md b/docs/advanced_tutorials/TRANSFER_LEARNING_cn.md
index b714bf00ae98a7bdedc3a1c12c95dcf8a3b7c547..7db411ac4c2f04b3ce0d4472b48e1b7c359eb763 100644
--- a/docs/advanced_tutorials/TRANSFER_LEARNING_cn.md
+++ b/docs/advanced_tutorials/TRANSFER_LEARNING_cn.md
@@ -13,7 +13,6 @@
 模型中和预训练模型中对应参数形状不同的参数将自动被忽略，例如：
 
 ```python
-export PYTHONPATH=$PYTHONPATH:.
 export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 python -u tools/train.py -c configs/faster_rcnn_r50_1x.yml \
                            -o pretrain_weights=https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_1x.tar
@@ -28,7 +27,6 @@ python -u tools/train.py -c configs/faster_rcnn_r50_1x.yml \
 2. 在 train.py的启动参数中设置`finetune_exclude_pretrained_params`。例如：
 
 ```python
-export PYTHONPATH=$PYTHONPATH:.
 export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 python -u tools/train.py -c configs/faster_rcnn_r50_1x.yml \
                          -o pretrain_weights=https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_1x.tar \
diff --git a/docs/advanced_tutorials/inference/EXPORT_MODEL.md b/docs/advanced_tutorials/inference/EXPORT_MODEL.md
index 70a5b874323f8ca20d2f4e776be200b468b374bf..043e07ec5fdfdbe69c11c62ef661bf544ba8c6ca 100644
--- a/docs/advanced_tutorials/inference/EXPORT_MODEL.md
+++ b/docs/advanced_tutorials/inference/EXPORT_MODEL.md
@@ -4,7 +4,7 @@
 
 **说明：**
 
-- **输入部分：**导出模型输入为网络输入图像，即原始图片经过预处理后的图像，具体预处理方式可参考配置文件中TestReader部分。各类检测模型的输入格式分别为：
+- **输入部分：** 导出模型输入为网络输入图像，即原始图片经过预处理后的图像，具体预处理方式可参考配置文件中TestReader部分。各类检测模型的输入格式分别为：
 
 | 模型系列名称 | 输入图像预处理方式 | 其他输入信息 |
 | :---------: | ----------- | ---------- |
@@ -16,7 +16,7 @@
 | Face   |  归一化  | im\_shape: 格式为[origin\_H, origin\_W], origin为原始图像  |
 
 
-- **输出部分：**导出模型输出统一为NMS的输出，形状为[N, 6], 其中N为预测框的个数，6为[class_id, score, x1, y1, x2, y2]。
+- **输出部分：** 导出模型输出统一为NMS的输出，形状为[N, 6], 其中N为预测框的个数，6为[class_id, score, x1, y1, x2, y2]。
 
 - 模型导出不支持模型结构中包含```fluid.layers.py_func```的情况。
 
diff --git a/docs/featured_model/CONTRIB.md b/docs/featured_model/CONTRIB.md
index 8121ea3b80c3d5dd2957c34d8bf3f6ae8cc664ae..f5630d32afc66f9391b1282d28e72bb16c3c0aa5 100644
--- a/docs/featured_model/CONTRIB.md
+++ b/docs/featured_model/CONTRIB.md
@@ -43,7 +43,6 @@ Users can employ the model to conduct the inference:
 
 ```
 export CUDA_VISIBLE_DEVICES=0
-export PYTHONPATH=$PYTHONPATH:.
 python -u tools/infer.py -c contrib/VehicleDetection/vehicle_yolov3_darknet.yml \
                          -o weights=https://paddlemodels.bj.bcebos.com/object_detection/vehicle_yolov3_darknet.tar \
                          --infer_dir contrib/VehicleDetection/demo \
@@ -90,7 +89,6 @@ Users can employ the model to conduct the inference:
 
 ```
 export CUDA_VISIBLE_DEVICES=0
-export PYTHONPATH=$PYTHONPATH:.
 python -u tools/infer.py -c contrib/PedestrianDetection/pedestrian_yolov3_darknet.yml \
                          -o weights=https://paddlemodels.bj.bcebos.com/object_detection/pedestrian_yolov3_darknet.tar \
                          --infer_dir contrib/PedestrianDetection/demo \
diff --git a/docs/featured_model/CONTRIB_cn.md b/docs/featured_model/CONTRIB_cn.md
index 90d48a31f6e67050bb8b849740cb076a5b3f6171..dbc9f19263ec8bd544e4b1454bda1a1fdb7e7d2b 100644
--- a/docs/featured_model/CONTRIB_cn.md
+++ b/docs/featured_model/CONTRIB_cn.md
@@ -44,7 +44,6 @@ IOU=.5时的AP为 0.764。
 
 ```
 export CUDA_VISIBLE_DEVICES=0
-export PYTHONPATH=$PYTHONPATH:.
 python -u tools/infer.py -c contrib/VehicleDetection/vehicle_yolov3_darknet.yml \
                          -o weights=https://paddlemodels.bj.bcebos.com/object_detection/vehicle_yolov3_darknet.tar \
                          --infer_dir contrib/VehicleDetection/demo \
@@ -92,7 +91,6 @@ IOU=.5-.95时的AP为 0.518。
 
 ```
 export CUDA_VISIBLE_DEVICES=0
-export PYTHONPATH=$PYTHONPATH:.
 python -u tools/infer.py -c contrib/PedestrianDetection/pedestrian_yolov3_darknet.yml \
                          -o weights=https://paddlemodels.bj.bcebos.com/object_detection/pedestrian_yolov3_darknet.tar \
                          --infer_dir contrib/PedestrianDetection/demo \
diff --git a/docs/featured_model/FACE_DETECTION.md b/docs/featured_model/FACE_DETECTION.md
index be51058a84faf802922c8c0a3ae5b6ff5ba42d7d..eed2c4439d9d2e89168868f7905793c96a089135 100644
--- a/docs/featured_model/FACE_DETECTION.md
+++ b/docs/featured_model/FACE_DETECTION.md
@@ -155,7 +155,6 @@ cd dataset/wider_face && ./download.sh
 评估并生成结果文件：
 ```
 export CUDA_VISIBLE_DEVICES=0
-export PYTHONPATH=$PYTHONPATH:.
 python -u tools/face_eval.py -c configs/face_detection/blazeface.yml \
        -o weights=output/blazeface/model_final \
        --eval_mode=widerface
diff --git a/docs/featured_model/FACE_DETECTION_en.md b/docs/featured_model/FACE_DETECTION_en.md
index 3ef9f7fc1ff88ea5a13e38e4c3ebbc50fa1c8522..0099ff8c154063fadd6ec3e9edc5bcc47e592940 100644
--- a/docs/featured_model/FACE_DETECTION_en.md
+++ b/docs/featured_model/FACE_DETECTION_en.md
@@ -170,7 +170,6 @@ Default is `False`, it will select `single-scale` evaluation.
 - Evaluate and generate results files:
 ```
 export CUDA_VISIBLE_DEVICES=0
-export PYTHONPATH=$PYTHONPATH:.
 python -u tools/face_eval.py -c configs/face_detection/blazeface.yml \
        -o weights=output/blazeface/model_final \
        --eval_mode=widerface
diff --git a/docs/tutorials/GETTING_STARTED.md b/docs/tutorials/GETTING_STARTED.md
index 405f1eb0e09c0be1b577184df235b8a06ffdf0cd..fb3105079813f94e537dd50291cd42b25b319efc 100644
--- a/docs/tutorials/GETTING_STARTED.md
+++ b/docs/tutorials/GETTING_STARTED.md
@@ -11,8 +11,6 @@ instructions](INSTALL.md).
 PaddleDetection provides scripots for training, evalution and inference with various features according to different configure.
 
 ```bash
-# set PYTHONPATH
-export PYTHONPATH=$PYTHONPATH:.
 # training in single-GPU and multi-GPU. specify different GPU numbers by CUDA_VISIBLE_DEVICES
 export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 python tools/train.py -c configs/faster_rcnn_r50_1x.yml
diff --git a/docs/tutorials/GETTING_STARTED_cn.md b/docs/tutorials/GETTING_STARTED_cn.md
index 47751bb49571084febe74cc31153a93155ee94b9..6b44b0fcd95d818442ae5a55a3b9b08cd9064faf 100644
--- a/docs/tutorials/GETTING_STARTED_cn.md
+++ b/docs/tutorials/GETTING_STARTED_cn.md
@@ -8,8 +8,6 @@
 PaddleDetection提供了训练/评估/推断三个功能的使用脚本，支持通过不同可选参数实现特定功能
 
 ```bash
-# 设置PYTHONPATH路径
-export PYTHONPATH=$PYTHONPATH:.
 # GPU训练 支持单卡，多卡训练，通过CUDA_VISIBLE_DEVICES指定卡号
 export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 python tools/train.py -c configs/faster_rcnn_r50_1x.yml
diff --git a/docs/tutorials/INSTALL.md b/docs/tutorials/INSTALL.md
index 697c7a96d416dec09c1cdf20dd39adf83cd56e7b..7835adc372563857d384aa64255fc03868eec57b 100644
--- a/docs/tutorials/INSTALL.md
+++ b/docs/tutorials/INSTALL.md
@@ -88,15 +88,6 @@ Required python packages are specified in [requirements.txt](https://github.com/
 pip install -r requirements.txt
 ```
 
-**Specify the current Python path:**
-
-```shell
-# In Linux/Mac
-export PYTHONPATH=$PYTHONPATH:.
-# In windows
-set PYTHONPATH=%PYTHONPATH%;.
-```
-
 **Make sure the tests pass:**
 
 ```shell
@@ -121,7 +112,6 @@ ln -sf <path/to/voc> <path/to/paddle_detection>/dataset/voc
 For Pascal VOC dataset, you should create file list by:
 
 ```
-export PYTHONPATH=$PYTHONPATH:.
 python dataset/voc/create_list.py
 ```
 
@@ -132,7 +122,6 @@ On the other hand, to download the datasets, run the following commands:
 - COCO
 
 ```
-export PYTHONPATH=$PYTHONPATH:.
 python dataset/coco/download_coco.py
 ```
 
@@ -160,7 +149,6 @@ python dataset/coco/download_coco.py
 - Pascal VOC
 
 ```
-export PYTHONPATH=$PYTHONPATH:.
 python dataset/voc/download_voc.py
 python dataset/voc/create_list.py
 ```
diff --git a/docs/tutorials/INSTALL_cn.md b/docs/tutorials/INSTALL_cn.md
index 75dbe0af2970d0603e0b50ccc2a0003038d8c23b..3495d4dba52398974146a767655314d6a822781c 100644
--- a/docs/tutorials/INSTALL_cn.md
+++ b/docs/tutorials/INSTALL_cn.md
@@ -84,15 +84,6 @@ Python依赖库在[requirements.txt](https://github.com/PaddlePaddle/PaddleDetec
 pip install -r requirements.txt
 ```
 
-**指定当前Python路径：**
-
-```shell
-# 在Linux/Mac系统下运行:
-export PYTHONPATH=$PYTHONPATH:.
-# 在windows系统下运行:
-set PYTHONPATH=%PYTHONPATH%;.
-```
-
 **确认测试通过：**
 
 ```
@@ -119,7 +110,6 @@ ln -sf <path/to/voc> <path/to/paddle_detection>/dataset/voc
 对于Pascal VOC数据集，需通过如下命令创建文件列表：
 
 ```
-export PYTHONPATH=$PYTHONPATH:.
 python dataset/voc/create_list.py
 ```
 
@@ -130,7 +120,6 @@ python dataset/voc/create_list.py
 - COCO
 
 ```
-export PYTHONPATH=$PYTHONPATH:.
 python dataset/coco/download_coco.py
 ```
 
@@ -158,7 +147,6 @@ python dataset/coco/download_coco.py
 - Pascal VOC
 
 ```
-export PYTHONPATH=$PYTHONPATH:.
 python dataset/voc/download_voc.py
 python dataset/voc/create_list.py
 ```
diff --git a/docs/tutorials/QUICK_STARTED.md b/docs/tutorials/QUICK_STARTED.md
index ac0c3abe926acad812e5b878a335b7ab171ffb83..e40d6869e7e7a8e6deaeadc15efadd0c08165d38 100644
--- a/docs/tutorials/QUICK_STARTED.md
+++ b/docs/tutorials/QUICK_STARTED.md
@@ -4,10 +4,9 @@ English | [简体中文](QUICK_STARTED_cn.md)
 
 This tutorial fine-tunes a tiny dataset by pretrained detection model for users to get a model and learn PaddleDetection quickly. The model can be trained in around 20min with good performance.
 
-- **Note: before started, need to set PYTHONPATH and specifiy the GPU device as follows in Linux platform. For Windows users, also need to set PYTHONPATH correctly.**
+- **Note: before started, need to specifiy the GPU device as follows.**
 
 ```bash
-export PYTHONPATH=$PYTHONPATH:.
 export CUDA_VISIBLE_DEVICES=0
 ```
 
diff --git a/docs/tutorials/QUICK_STARTED_cn.md b/docs/tutorials/QUICK_STARTED_cn.md
index df0b318cc368088d4a9dedbb29287b099802d811..407cb7f0b22626a5af543776e67f1e7742ae49f5 100644
--- a/docs/tutorials/QUICK_STARTED_cn.md
+++ b/docs/tutorials/QUICK_STARTED_cn.md
@@ -4,10 +4,9 @@
 
 为了使得用户能够在很短的时间内快速产出模型，掌握PaddleDetection的使用方式，这篇教程通过一个预训练检测模型对小数据集进行finetune。在P40上单卡大约20min即可产出一个效果不错的模型。
 
-- **注：在开始前，对于Linux用户, 运行如下命令设置PYTHONPATH，如果有GPU设备，指定GPU设备号。对于Windows用户，同样需要将PaddleDetection的根目录设置到PYTHONPATH中。**
+- **注：在开始前，如果有GPU设备，指定GPU设备号。**
 
 ```bash
-export PYTHONPATH=$PYTHONPATH:.
 export CUDA_VISIBLE_DEVICES=0
 ```
 
diff --git a/ppdet/data/tests/test_dataset.py b/ppdet/data/tests/test_dataset.py
index 2e490551ed429c9d88ba3c7f34b8259540a34c8e..86e87257df87a4cc0b8629e449a38f3a0cf2df37 100644
--- a/ppdet/data/tests/test_dataset.py
+++ b/ppdet/data/tests/test_dataset.py
@@ -18,6 +18,10 @@ import sys
 import logging
 import random
 import copy
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 4)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.data.parallel_map import ParallelMap
 
diff --git a/ppdet/data/tests/test_loader.py b/ppdet/data/tests/test_loader.py
index 9f373ad99018514b025901edc233a228e50e4a12..26c990a16f35e6d248fb4d6c9f38cd3bfd2410f8 100644
--- a/ppdet/data/tests/test_loader.py
+++ b/ppdet/data/tests/test_loader.py
@@ -14,6 +14,11 @@
 
 import unittest
 import os
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 4)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.data.source.coco import COCODataSet
 from ppdet.data.reader import Reader
diff --git a/ppdet/data/tests/test_loader_yaml.py b/ppdet/data/tests/test_loader_yaml.py
index 121f52729d9d4783bd432b505ece370a37211cdb..b0b526586d4e4a05c9e036a7ad864309b5ced403 100644
--- a/ppdet/data/tests/test_loader_yaml.py
+++ b/ppdet/data/tests/test_loader_yaml.py
@@ -16,6 +16,11 @@ import unittest
 import os
 import yaml
 import logging
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 4)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.utils.download import get_path
 from ppdet.utils.download import DATASET_HOME
diff --git a/ppdet/modeling/tests/test_architectures.py b/ppdet/modeling/tests/test_architectures.py
index fcfd87908f0b889b4fa3481fe9b1c81648d56271..ef8ebfc16edc4e5d49551aeca9c62ab296635ade 100644
--- a/ppdet/modeling/tests/test_architectures.py
+++ b/ppdet/modeling/tests/test_architectures.py
@@ -20,6 +20,12 @@ import unittest
 import numpy as np
 
 import paddle.fluid as fluid
+import os
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 4)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from ppdet.modeling.tests.decorator_helper import prog_scope
 from ppdet.core.workspace import load_config, merge_config, create
diff --git a/tools/configure.py b/tools/configure.py
index 098f48f8448d0b544cd32294a6152a3dd5288556..a3d5bb013fe3f089476c35ee6d293cb4c1a48f04 100644
--- a/tools/configure.py
+++ b/tools/configure.py
@@ -14,8 +14,14 @@
 
 from __future__ import print_function
 
+import os
 import sys
 from argparse import ArgumentParser, RawDescriptionHelpFormatter
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 import yaml
 
diff --git a/tools/eval.py b/tools/eval.py
index ef9a8ac5725a2de58d7706361228d640db6e2711..bdf93180e26f1ca9725d56b3cec5c23aa86e31d8 100644
--- a/tools/eval.py
+++ b/tools/eval.py
@@ -17,6 +17,11 @@ from __future__ import division
 from __future__ import print_function
 
 import os
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 
 def set_paddle_flags(**kwargs):
diff --git a/tools/export_model.py b/tools/export_model.py
index 554840a0b9e217da9d2043acea9ff020d0fc24f6..20b43e8c1bb34af9ffb8f71ed104ac05eef76e61 100644
--- a/tools/export_model.py
+++ b/tools/export_model.py
@@ -17,6 +17,11 @@ from __future__ import division
 from __future__ import print_function
 
 import os
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 from paddle import fluid
 
diff --git a/tools/face_eval.py b/tools/face_eval.py
index ff1ef0f01a2df932c550dc1462a697781d1a72f6..41545760a8544f8da5465e87fe10cbed0258dc34 100644
--- a/tools/face_eval.py
+++ b/tools/face_eval.py
@@ -17,6 +17,11 @@ from __future__ import division
 from __future__ import print_function
 
 import os
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 import paddle.fluid as fluid
 import numpy as np
diff --git a/tools/infer.py b/tools/infer.py
index fdc370e53e99a1b8cfe4e4bd02d0b3784ad632ba..699c48bcd10e567b96f97e66ddbae574482fc968 100644
--- a/tools/infer.py
+++ b/tools/infer.py
@@ -18,6 +18,11 @@ from __future__ import print_function
 
 import os
 import glob
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 import numpy as np
 from PIL import Image
diff --git a/tools/train.py b/tools/train.py
index a1129a568aeaad5e9f31a704a53c248f66a66bb8..7fc8b4b87eda3b892ab37a09c4439c62ef2cd793 100644
--- a/tools/train.py
+++ b/tools/train.py
@@ -23,6 +23,11 @@ import random
 import datetime
 from collections import deque
 from paddle.fluid import profiler
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
 
 
 def set_paddle_flags(**kwargs):