需要安装的模块可以一次性安装，打开Anaconda的命令行/Windows Shell窗口后，按下面的顺序执行即可。
pytorch环境&安装
conda create -n pytorch_env python=3.7.16conda activate pytorch_envpip install numpy pillow==8.2.0 six opencv-python matplotlib scipy tqdm tensorboard future -i https://mirrors.cloud.tencent.com/pypi/simple/ --trusted-host mirrors.cloud.tencent.compip install torch===1.2.0 torchvision===0.4.0 -i https://download.pytorch.org/whl/ --trusted-host download.pytorch.orglabelme环境&安装
pip install labelme==3.16.7 pyqt5 -i https://mirrors.cloud.tencent.com/pypi/simple/ --trusted-host mirrors.cloud.tencent.compip install pillow==8.2.0 -i https://mirrors.cloud.tencent.com/pypi/simple/ --trusted-host mirrors.cloud.tencent.com附录
pytorch&torchvision版本对照表
见：https://pytorch.org/get-started/previous-versions/
GTX 3090安装命令
# CUDA=11.0
pip install torch==1.7.0+cu110 torchvision==0.8.1+cu110 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.htmlPillow&Python版本支持
| Python | 2.4 | 2.5 | 2.6 | 2.7 | 3.2 | 3.3 | 3.4 | 3.5 | 3.6 | 3.7 | 3.8 | 3.9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pillow<2 | √ | √ | √ | √ | ||||||||
| Pillow 2-3 | √ | √ | √ | √ | √ | √ | ||||||
| Pillow 4 | √ | √ | √ | √ | √ | |||||||
| Pillow 5.0-5.1 | √ | √ | √ | √ | ||||||||
| Pillow 5.2-5.4 | √ | √ | √ | √ | √ | |||||||
| Pillow 6.0-6.2.0 | √ | √ | √ | √ | ||||||||
| Pillow 6.2.1-6.2.2 | √ | √ | √ | √ | √ | |||||||
| Pillow7.0-7.2 | √ | √ | √ | √ | ||||||||
| Pillow>=8.0 | √ | √ | √ | √ |
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