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@@ -34,11 +34,17 @@ Extensive experiments demonstrate that FlowInOne achieves **state-of-the-art per
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  ## 🧪 Usage
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  you can download the model weights and model preparation
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  ```bash
 
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  wget https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/flowinone_256px.pth
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-
 
 
 
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  ```
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  you can download the dataset examples
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  ```bash
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-
 
 
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  ```
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  Our training and inference scripts are now available on [GitHub](https://github.com/CSU-JPG/FlowInOne)!
 
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  ## 🧪 Usage
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  you can download the model weights and model preparation
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  ```bash
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+ # model weights
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  wget https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/flowinone_256px.pth
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+ # model preparation
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+ https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/preparation.tar.gz
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+ # unzip
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+ tar -xzvf "preparation.tar.gz" -C "/path/to/preparation"
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  ```
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  you can download the dataset examples
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  ```bash
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+ https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/flowinone_demo_dataset.tar.gz
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+ # unzip
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+ tar -xzvf "flowinone_demo_dataset.tar.gz" -C "/path/to/flowinone_demo_dataset"
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  ```
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  Our training and inference scripts are now available on [GitHub](https://github.com/CSU-JPG/FlowInOne)!