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Commit e5efac83 authored by dcuai's avatar dcuai
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Update scnet链接

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README.md
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...@@ -82,7 +82,8 @@ Tips：以上dtk驱动、python、torch等DCU相关工具版本需要严格一 ...@@ -82,7 +82,8 @@ Tips：以上dtk驱动、python、torch等DCU相关工具版本需要严格一
## 数据集 ## 数据集
完整数据集下载：https://drive.google.com/drive/folders/154S6raNg9NpDGQRlRhhAaYcAx5xq1Ok8 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)
可使用下列数据用于快速验证 可使用下列数据用于快速验证
https://opendatalab.com/OpenDataLab/ImageNet-1K/tree/main/raw (ImageNet) https://opendatalab.com/OpenDataLab/ImageNet-1K/tree/main/raw (ImageNet)
...@@ -90,7 +91,11 @@ https://opendatalab.com/OpenDataLab/ImageNet-1K/tree/main/raw (ImageNet) ...@@ -90,7 +91,11 @@ https://opendatalab.com/OpenDataLab/ImageNet-1K/tree/main/raw (ImageNet)
https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101) https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101)
链接：https://pan.baidu.com/s/1nPEAC_52IuB5KF-5BAqGDA 链接：https://pan.baidu.com/s/1nPEAC_52IuB5KF-5BAqGDA
提取码：kwai （mini数据集） 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 数据结构
...@@ -135,14 +140,15 @@ https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101) ...@@ -135,14 +140,15 @@ https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101)
### 模型下载 ### 模型下载
| Resoluion | Data | #iterations | Batch Size | GPU days (H800) | URL | | 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 | | 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 | | 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 | | 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)|
https://huggingface.co/DeepFloyd/t5-v1_1-xxl/tree/main (T5) 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)
pretrained_models/ pretrained_models/
└── t5_ckpts └── t5_ckpts
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