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  Quick Start: Running husim_server Locally
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  This guide walks you through how to run the husim_server locally. If you can complete this setup on your machine, the same approach will work in the competition environment.
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- 1. Clone the Repository
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  Clone server code:
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  git clone --branch hf-competitions --single-branch git@github.com:longxiaofei/HUGSIM.git
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  ```
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- 2. Build the Docker Image
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  Navigate to the project directory and build the Docker image:
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  docker build . -f ./docker/web_server_dockerfile -t hugsim_server:local
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  ```
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- 3. Run the Docker Container
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  Run the server locally on port 7860:
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  ```
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- 4. Install the Client
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  Install the hugsim_client package:
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  ```
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- 5. Using the Client
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  ```python
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  from hugsim_client import HugsimClient
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  client.execute_action(xxx)
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  ```
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- The full example: [ltf_e2e.py](https://huggingface.co/Libra-1995/navsim/blob/main/ltf_e2e.py)
 
 
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+ 4. 提供local dev的docker image和指导文档
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+
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+ 7. 用户报名可以修改excel和team name,正式提交后不能修改excel,可以修改team name,报名时添加一列信息:email。
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+
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+
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+
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+ -------------------------
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+
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+ 1. LeaderBoard需不需要分private、public?
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+ 直接默认使用team历史提交最高分作为LeaderBoard上的分数。
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+
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+ 2. 一次提交如果同时提交多个场景,目前每个场景有各自的分数,LeaderBoard是分场景排名还是计算一个总分?
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+ LeaderBoard rc和hdscore平均
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+ 后续可以提供多个场景得分的json打包下载。
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+
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+ 3. 提交失败,可以让参赛者看到报错信息。
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+ 报错信息。使用api不用sdk
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+
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+ 5. 是否允许参赛者能够看到提交完成的其他数据(如video)
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+ 不要
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+ 6. 报名后,由我们自己控制什么时候可以开始提交。
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+ team_id白名单
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+
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+ 8. 每次活跃后,超过某个阈值就Shutdown client,20s。
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+ 暂时不做
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+ 9. 仿真器本身添加总的步长。
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  Quick Start: Running husim_server Locally
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  This guide walks you through how to run the husim_server locally. If you can complete this setup on your machine, the same approach will work in the competition environment.
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+ **1. Clone the Repository**
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  Clone server code:
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  git clone --branch hf-competitions --single-branch git@github.com:longxiaofei/HUGSIM.git
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  ```
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+ **2. Build the Docker Image**
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  Navigate to the project directory and build the Docker image:
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  docker build . -f ./docker/web_server_dockerfile -t hugsim_server:local
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  ```
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+ **3. Run the Docker Container**
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  Run the server locally on port 7860:
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  ```
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+ **4. Install the Client**
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  Install the hugsim_client package:
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  ```
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+ **5. Using the Client**
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  ```python
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  from hugsim_client import HugsimClient
 
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  client.execute_action(xxx)
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  ```
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+ The full example: [ltf_e2e.py](https://huggingface.co/Libra-1995/navsim/blob/main/ltf_e2e.py)
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+