add baiduyun link for dataset and models

README.md

@@ -10,7 +10,7 @@ Download the 6D pose datasets from the
 [VOC 2012](https://pjreddie.com/projects/pascal-voc-dataset-mirror/)
 for background images.
 Please also download the  `test_bboxes` from
-here [OneDrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/Eq_2aCC0RfhNisW8ZezYtIoBGfJiRIZnFxbITuQrJ56DjA?e=hPbJz2) (password: groupji).
+here [OneDrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/Eq_2aCC0RfhNisW8ZezYtIoBGfJiRIZnFxbITuQrJ56DjA?e=hPbJz2) (password: groupji) or [BaiDuYunPan](https://pan.baidu.com/s/1FzTO4Emfu-DxYkNG40EDKw)(password: vp58).
 
 The structure of `datasets` folder should look like below:
 ```
@@ -29,7 +29,7 @@ datasets/
 
 ### Models
 
-Download the trained models at [Onedrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/EgOQzGZn9A5DlaQhgpTtHBwB2Bwyx8qmvLauiHFcJbnGSw?e=EZ60La) (password: groupji) and put them in the folder `./output`.
+Download the trained models at [Onedrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/EgOQzGZn9A5DlaQhgpTtHBwB2Bwyx8qmvLauiHFcJbnGSw?e=EZ60La) (password: groupji) or [BaiDuYunPan](https://pan.baidu.com/s/1LhXblEic6pYf1i6hOm6Otw)(password: 10t3) and put them in the folder `./output`.
 
 
 ## Requirements
@@ -47,7 +47,7 @@ We adopt yolox as the detection method. We used stronger data augmentation and r
 
 ### Training 
 
-Download the pretrained model at [Onedrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/EkCTrRfHUZVEtD7eHwLkYSkBCTXlh9ekDteSzK6jM4oo-A?e=m0aNCy) (password: groupji)/[BaiDuYunPan](https://pan.baidu.com/s/1AU7DGCmZWsH9VgQnbTRjow)(password: aw68) and put it in the folder `pretrained_models/yolox`. Then use the following command:
+Download the pretrained model at [Onedrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/EkCTrRfHUZVEtD7eHwLkYSkBCTXlh9ekDteSzK6jM4oo-A?e=m0aNCy) (password: groupji) or [BaiDuYunPan](https://pan.baidu.com/s/1AU7DGCmZWsH9VgQnbTRjow)(password: aw68) and put it in the folder `pretrained_models/yolox`. Then use the following command:
 
 `./det/yolox/tools/train_yolox.sh <config_path> <gpu_ids> (other args)`