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Tutorial.md

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@@ -31,11 +31,12 @@ Denoising performance (SNR) with the increase of training epochs on simulatedc c
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### 1.2 Environment configuration
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1. Create a virtual environment and install PyTorch. In the 3rd step, please select the correct Pytorch version that matches your CUDA version from [https://pytorch.org/get-started/previous-versions/](https://pytorch.org/get-started/previous-versions/).
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1. Create a virtual environment and install PyTorch. In the 4th step, please select the correct Pytorch version that matches your CUDA version from [https://pytorch.org/get-started/previous-versions/](https://pytorch.org/get-started/previous-versions/).
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```
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$ conda create -n deepcadrt python=3.9
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$ conda activate deepcadrt
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$ pip install "numpy<2.0"
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$ pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html
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```
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