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@@ -32,7 +32,7 @@ We recommend using the latest Python and PyTorch to run our algorithm. To instal | |
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```bash | ||
# Clone the repository | ||
git clone [email protected]:nv-tlabs/nksr | ||
git clone [email protected]:nv-tlabs/nksr.git | ||
cd nksr | ||
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# Create conda environment | ||
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@@ -45,7 +45,7 @@ conda activate nksr | |
pip install nksr -f https://nksr.huangjh.tech/whl/torch-2.0.0+cu118.html | ||
``` | ||
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> For docker users, we suggest using a base image from [nvidia/cuda](https://hub.docker.com/r/nvidia/cuda) with tag `12.1.1-cudnn8-devel-ubuntu22.04`, and applying the above conda setup over it. | ||
> For docker users, we suggest using a base image from [nvidia/cuda](https://hub.docker.com/r/nvidia/cuda) with tag `11.8.0-cudnn8-devel-ubuntu22.04`, and applying the above conda setup over it. | ||
## Testing NKSR on your own data | ||
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