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...@@ -61,11 +61,11 @@ pip install -r requirements.txt ...@@ -61,11 +61,11 @@ pip install -r requirements.txt
`imagenet 2012` 的解压与整理方法参照链接： `imagenet 2012` 的解压与整理方法参照链接：
https://www.jianshu.com/p/a42b7d863825 https://www.jianshu.com/p/a42b7d863825
数据集快速下载中心：[SCNet AIdatasets](http://113.200.138.88:18080/aidatasets) 数据集快速下载中心：[SCNet AIdatasets](https://www.scnet.cn/ui/aihub/datasets)
项目中的数据集可从快速下载通道下载： [imagenet-2012](http://113.200.138.88:18080/aidatasets/project-dependency/imagenet-2012) 项目中的数据集可从快速下载通道下载： [imagenet-2012](https://www.scnet.cn/ui/aihub/datasets/aidatasets/project-dependency/imagenet-2012)
项目提供用于试验训练的迷你数据集[tiny-imagenet-200](http://113.200.138.88:18080/aidatasets/project-dependency/tiny-imagenet-200.git)，下载解压后将名字tiny-imagenet-200改为data，训练数据目录结构如下，用于正常训练的完整数据集请按此目录结构进行制备： 项目提供用于试验训练的迷你数据集[tiny-imagenet-200](https://www.scnet.cn/ui/aihub/datasets/project-dependency/tiny-imagenet-200.git)，下载解压后将名字tiny-imagenet-200改为data，训练数据目录结构如下，用于正常训练的完整数据集请按此目录结构进行制备：
``` ```
data data
| |
...@@ -117,7 +117,7 @@ sh examples/dspvit_1dcu.sh ...@@ -117,7 +117,7 @@ sh examples/dspvit_1dcu.sh
## 预训练权重 ## 预训练权重
预训练权重快速下载中心：[SCNet AIModels](http://113.200.138.88:18080/aimodels) 预训练权重快速下载中心：[SCNet AIModels](https://www.scnet.cn/ui/aihub/models)
## 源码仓库及问题反馈 ## 源码仓库及问题反馈
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