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#### 2.5.3 Install unitree_cpp_deploy (Choose for C++ Deployment)
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We use a modified C++ deployment repository based on `unitree_rl_lab`, specifically designed for deploying models trained in this repository. See [unitree_cpp_deploy](https://github.com/wty-yy-mini/unitree_cpp_deploy).
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We use a modified C++ deployment repository based on `unitree_rl_lab`, specifically designed for deploying models trained in this repository. See [unitree_cpp_deploy](https://github.com/wty-yy/unitree_cpp_deploy).
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### 2.6 RoboGauge Evaluation (Optional)
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### 2.5.3 安装 unitree_cpp_deploy(选择用C++部署)
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我们基于unitree_rl_lab修改的C++部署仓库,专门用于部署本仓库训练的模型 [unitree_cpp_deploy](https://github.com/wty-yy-mini/unitree_cpp_deploy)
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我们基于unitree_rl_lab修改的C++部署仓库,专门用于部署本仓库训练的模型 [unitree_cpp_deploy](https://github.com/wty-yy/unitree_cpp_deploy)
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### 2.6 RoboGauge评估(可选)
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RoboGauge是一个Mujoco中通过Sim2Sim评估四足机器人性能的项目,在训练同时中异步地在cpu上进行评估,具体细节参考[README](https://github.com/wty-yy/RoboGauge),安装方法
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