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Add linglong-live Docker image (RTX 50xx / cu128)
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---
license: other
license_name: sam-license
license_link: https://huggingface.co/LGG100/linglongimage/blob/main/LICENSE_SAM
tags:
- docker
- robotics
- motion-retargeting
---
# linglong-live Docker image
Docker image of the monocular RGB → LingLong 2.0 real-time motion retargeting system
(OpenLoong 大师赛第一期 · 赛题一 · 复赛), built for **RTX 50xx (Blackwell, sm_120)**:
CUDA 12.8 base, torch 2.7.1+cu128. Model weights are bundled.
## Usage
Host: Linux, NVIDIA GPU (≥ 8 GB), nvidia-container-toolkit.
```bash
hf download LGG100/linglongimage linglong-live.tar --local-dir .
docker load -i linglong-live.tar # -> linglong-live:latest
# webcam + window
xhost +local:root
docker run --rm -it --gpus all --ipc=host --network host --device /dev/video0 \
-e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix \
-v linglong_cache:/cache -v $PWD/out:/out linglong-live --source 0
# headless, video file
docker run --rm --gpus all --ipc=host -v linglong_cache:/cache -v $PWD/out:/out \
-v $PWD/input.mp4:/in.mp4:ro linglong-live --source /in.mp4 --headless \
--record /out/out.mp4 --log /out/log.csv
```
The first frame compiles GPU kernels (cached in the `linglong_cache` volume).
## Bundled third-party materials
- **SAM 3D Body weights** (`facebook/sam-3d-body-dinov3`), redistributed under the SAM License — see `LICENSE_SAM`.
- **YOLO11m-pose** (Ultralytics), AGPL-3.0.
- **MoGe-2 ViT-S** (`Ruicheng/moge-2-vits-normal`).
- **LingLong 2.0 URDF and meshes** (official competition release, unmodified).