Installation & Training

为确保比赛过程顺利，我们提供了数据下载、基准代码、仿真器环境等相关资源，供参赛者使用。以下是步骤说明及相关链接：

1. Installing the kuavo_data_challenge (Baseline code) Repository

This repository is used for data conversion, model training and model deployment. Use git operation to fetch the latest codebase (main branch):

git clone --depth=1 https://github.com/LejuRobotics/kuavo_data_challenge.git

Note

For more details regarding to its installation and usage, please refer to its corresponding README documentation found on its GitHub page

2. Installing the kuavo-ros-opensource (Simulator) Repository

This repository contains the simulator. Use git operation to fetch the latest codebase (opensource/kuavo-data-challenge branch):

git clone -b opensource/kuavo-data-challenge --depth=1 https://github.com/LejuRobotics/kuavo-ros-opensource.git

Note

For more details regarding to its installation and usage, please refer to its corresponding README documentation found on its GitHub page

3. Video Tutorial

4. Local Model Deployment and Testing

Please refer to the readme <https://github.com/LejuRobotics/kuavo_data_challenge/blob/main/README.md>`_ from the kuavo_data_challenge main branch, for help on local deployment.