Update scnet链接

README.md

@@ -52,7 +52,8 @@ pip install -r requirements.txt
 
 ## 数据集
 
-我们考虑到imagenet数据集比较庞大，为了用户可以使用OneFlow快速进行Resnet50的训练验证，采用mini-imagenet小数据集。如果需要原始数据需要参考该链接https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50#prepare-ofrecord-for-the-full-imagenet-dataset进行转换为ofrecord
+我们考虑到imagenet数据集比较庞大，为了用户可以使用OneFlow快速进行Resnet50的训练验证，采用mini-imagenet小数据集。原始数据集快速下载通道[imagenet](http://113.200.138.88:18080/aidatasets/project-dependency/imagenet-2012)如果需要原始数据需要参考该链接https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50#prepare-ofrecord-for-the-full-imagenet-dataset进行转换为ofrecord 
+
 
     OFRECORD_PATH="./mini-imagenet/ofrecord"
 
@@ -127,4 +128,4 @@ ofrecord-imagenet
 ## 参考资料
 
 * https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50
-* https://github.com/Oneflow-Inc/oneflow
+* https://github.com/Oneflow-Inc/oneflow
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