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xin0123/
lehome-challenge

Name: lehome-challenge
Availability: InStock

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Manual Installation Guide

Prerequisites

Python 3.11
uv package manager
GPU driver and CUDA supporting IsaacSim5.1.0.

Installation Steps

1. Clone the Repository

bash

git clone https://github.com/lehome-official/lehome-challenge.git
cd lehome-challenge

2. Install Dependencies with uv

uv sync

This will create a virtual environment and install all required dependencies.

3. Clone and Configure IsaacLab

bash

cd third_party
git clone https://github.com/lehome-official/IsaacLab.git
cd ..

4. Install IsaacLab

Activate the virtual environment and install IsaacLab:

bash

source .venv/bin/activate
./third_party/IsaacLab/isaaclab.sh -i none

5. Install LeHome Package

Install the LeHome package in development mode:

uv pip install -e ./source/lehome

6. Download Simulation Assets

Download the required simulation assets (scenes, objects, robots) from HuggingFace:

bash

# This creates the Assets/ directory with all required simulation resources
hf download lehome/asset_challenge --repo-type dataset --local-dir Assets

7. Eval

Evaluate your trained policy on the challenge garments. The framework supports LeRobot policies and custom implementations. Examples:

bash

xvfb-run -a python -m scripts.eval \
    --policy_type lerobot \
    --policy_path checkpoints/top_long/pretrained_model \
    --garment_type "top_long" \
    --dataset_root <path_to_dataset> \
    --num_episodes 2 \
    --enable_cameras \
    --device cpu \
    --headless

If you are using a server, please download the system dependencies.

bash

    #step 1
    apt update
    apt install -y \
    libglu1-mesa \
    libgl1 \
    libegl1 \
    libxrandr2 \
    libxinerama1 \
    libxcursor1 \
    libxi6 \
    libxext6 \
    libx11-6
    #step 2
    export __GLX_VENDOR_LIBRARY_NAME=nvidia

xin0123/lehome-challenge

Manual Installation Guide

Prerequisites

Installation Steps

1. Clone the Repository

2. Install Dependencies with uv

3. Clone and Configure IsaacLab

4. Install IsaacLab

5. Install LeHome Package

6. Download Simulation Assets

7. Eval

xin0123/
lehome-challenge