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You can install the recommended environment as follows:
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```console
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```bash
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conda env create -f environment.yml -n studiogan
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```
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With docker, you can use:
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```console
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```bash
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docker pull mgkang/studiogan:latest
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```
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This is my command to make a container named "studioGAN".
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Also, you can use port number 6006 to connect the tensoreboard.
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```console
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```bash
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docker run -it --gpus all --shm-size 128g -p 6006:6006 --name studioGAN -v /home/USER:/root/code --workdir /root/code mgkang/studiogan:latest /bin/bash
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```
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## Quick Start
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* Train (``-t``) and evaluate (``-e``) the model defined in ``CONFIG_PATH`` using GPU ``0``
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```console
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```bash
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CUDA_VISIBLE_DEVICES=0 python3 src/main.py -t -e -c CONFIG_PATH
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```
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