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SUBMISSION_DESC.md

@@ -11,6 +11,59 @@ DO NOT attempt to hack the test data or use the GPU resources for any purpose ou
 ## Testing your model locally
 Please refer to the guidance in the "Dataset" page. Make sure your model works well on your own machine before your submission.
 
+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.
+
+**1. Clone the Repository**
+
+Clone server code:
+
+```bash
+git clone https://github.com/hyzhou404/HUGSIM_Local_Server.git
+```
+
+**2. Build the Docker Image**
+
+Navigate to the project directory and build the Docker image:
+
+```bash
+docker build . -f ./docker/web_server_dockerfile -t hugsim_server:local
+```
+
+If you are using a proxy,  using the following command instead:
+```bash
+docker build --network host . -f ./docker/web_server_dockerfile_mirror -t hugsim_server:local
+```
+
+**3. Run the Docker Container**
+
+Run the server:
+
+```bash
+docker run --gpus "device=1" -d -p 7860:7860 -v /path/to/your/downloaded/training_data:/app/app_datas/ -v ./code:/app/code -v ./output:/app/app_datas/env_output --name hugsim_server hugsim_server:local tail -f /dev/null
+```
+
+Get inside the docker:
+
+```bash
+docker exec -u root -it hugsim_server /bin/bash
+```
+
+Launch the server:
+```bash
+pixi run python code/web_server.py
+```
+
+**4. Launch the Client**
+
+We provide an LTF implementation example: [LTF Demo](https://huggingface.co/XDimLab/ICCV2025-RealADSim-ClosedLoop-SubmissionDemo)
+
+```shell
+pixi install
+pixi run python ltf_e2e.py
+```
+
+Then you will see interaction between LTF client and simulator server.
+
 ## Submission
 The model and code, including the Docker file, should be uploaded to a single Huggingface model hub. We recommend setting the hub to private.