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2b232abe · chenzk · 8964c68c · 2b232abe
Commit 2b232abe authored Apr 16, 2025 by chenzk
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README.md README.md +5 -11

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@@ -74,7 +74,7 @@ Tips：以上dtk驱动、python、torch等DCU相关工具版本需要严格一

 ## 数据集

-完整数据集下载：https://drive.google.com/drive/folders/154S6raNg9NpDGQRlRhhAaYcAx5xq1Ok8  SCNet高速下载通道：[hd-vg-130m](http://113.200.138.88:18080/aidatasets/project-dependency/hd-vg-130m/-/tree/main?ref_type=heads)     
+完整数据集（hd-vg-130m）下载：https://drive.google.com/drive/folders/154S6raNg9NpDGQRlRhhAaYcAx5xq1Ok8   

 可使用下列数据用于快速验证

@@ -85,11 +85,6 @@ https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101)
 链接：https://pan.baidu.com/s/1nPEAC_52IuB5KF-5BAqGDA 
 提取码：kwai  （mini数据集）   

- SCNet高速下载通道：
- [magenet-1k](http://113.200.138.88:18080/aidatasets/project-dependency/imagenet-1k)
- [UCF101](http://113.200.138.88:18080/aidatasets/project-dependency/ucf101/-/blob/master/UCF101.rar?ref_type=heads)
- [mini](http://113.200.138.88:18080/aidatasets/project-dependency/mini/-/tree/master/datasets?ref_type=heads)
-
 数据结构

    UCF-101/
@@ -135,13 +130,12 @@ https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101)

 | Resoluion  | Data   | #iterations | Batch Size | GPU days (H800) | URL                                                                                           |SCNet高速下载通道|
 | ---------- | ------ | ----------- | ---------- | --------------- | --------------------------------------------------------------------------------------------- |--------------------------- |            
-| 16×256×256 | 366K   | 80k         | 8×64       | 117             | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-16x256x256.pth    |[OpenSora-v1-16x256x256.pth](http://113.200.138.88:18080/aimodels/Open-Sora/-/blob/main/OpenSora-v1-16x256x256.pth?ref_type=heads)|
-| 16×256×256 | 20K HQ | 24k         | 8×64       | 45              | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x256x256.pth |[OpenSora-v1-HQ-16x256x256.pth](http://113.200.138.88:18080/aimodels/Open-Sora/-/blob/main/OpenSora-v1-HQ-16x256x256.pth?ref_type=heads)|
-| 16×512×512 | 20K HQ | 20k         | 2×64       | 35              | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x512x512.pth |[OpenSora-v1-HQ-16x512x512.pth](http://113.200.138.88:18080/aimodels/Open-Sora/-/blob/main/OpenSora-v1-HQ-16x512x512.pth?ref_type=heads)|
+| 16×256×256 | 366K   | 80k         | 8×64       | 117             | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-16x256x256.pth    |[SCNet]|
+| 16×256×256 | 20K HQ | 24k         | 8×64       | 45              | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x256x256.pth |[SCNet]|
+| 16×512×512 | 20K HQ | 20k         | 2×64       | 35              | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x512x512.pth |[SCNet]|


-https://huggingface.co/DeepFloyd/t5-v1_1-xxl/tree/main  (T5)
-SCNet高速下载通道:[T5](http://113.200.138.88:18080/aimodels/t5-v1_1-xxl)
+[t5-v1_1-xxl](https://huggingface.co/DeepFloyd/t5-v1_1-xxl/tree/main) (T5)

    pretrained_models/
    └── t5_ckpts