# 2021工训赛国赛

## 说明
使用SSD-MobileNetV1  
实现了数据集制作 模型训练 模型测试 模型部署 全过程

## 环境配置

换源:

```shell
echo '
auto_activate_base: false
channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
' > ~/.condarc
```

配置环境:

```shell
conda create -n gxs-36 python=3.6 -y
conda activate gxs-36
pip install licsber
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia -y
```