Update README.md

README.md

@@ -305,15 +305,24 @@ Because pytorch and torchvision are ongoing projects.
 Here we noted that our code is tested based on Pytorch 0.3.0/0.4.0/0.5.0/1.0.0 and Torchvision 0.2.0/0.2.1 .
 
 ### Dataset & Preparation
-Download [Market1501 Dataset](http://www.liangzheng.com.cn/Project/project_reid.html) [[Google]](https://drive.google.com/file/d/0B8-rUzbwVRk0c054eEozWG9COHM/view) [[Baidu]](https://pan.baidu.com/s/1ntIi2Op)
+
+Download [Market1501 Dataset](http://www.liangzheng.com.cn/Project/project_reid.html) [[Google]](https://drive.google.com/file/d/0B8-rUzbwVRk0c054eEozWG9COHM/view) [[Baidu]](https://pan.baidu.com/s/1ntIi2Op) Or use command line:
+```bash
+pip install gdown 
+pip install --upgrade gdown #!!important!!
+gdown 0B8-rUzbwVRk0c054eEozWG9COHM
+```
 
 Preparation: Put the images with the same id in one folder. You may use 
 ```bash
 python prepare.py
 ```
 Remember to change the dataset path to your own path.
 
-Futhermore, you also can test our code on [DukeMTMC-reID Dataset]( [GoogleDriver](https://drive.google.com/open?id=1jjE85dRCMOgRtvJ5RQV9-Afs-2_5dY3O) or ([BaiduYun](https://pan.baidu.com/s/1jS0XM7Var5nQGcbf9xUztw) password: bhbh)).
+Futhermore, you also can test our code on [DukeMTMC-reID Dataset]( [GoogleDriver](https://drive.google.com/open?id=1jjE85dRCMOgRtvJ5RQV9-Afs-2_5dY3O) or ([BaiduYun](https://pan.baidu.com/s/1jS0XM7Var5nQGcbf9xUztw) password: bhbh)) Or use command line:
+```bash 
+gdown 1jjE85dRCMOgRtvJ5RQV9-Afs-2_5dY3O
+```
 Our baseline code is not such high on DukeMTMC-reID **Rank@1=64.23%, mAP=43.92%**. Hyperparameters are need to be tuned.
 
 - [Optional] [DG-Market](https://github.com/NVlabs/DG-Net#dg-market) is a generated pedestrian dataset of 128,307 images for training a robust model.