# RT-X

**Repository Path**: AlexandreQiu/rt-x

## Basic Information

- **Project Name**: RT-X
- **Description**: An RT-X docker deployment project
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-10-17
- **Last Updated**: 2023-11-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RT-X-Demo
This is an implementation of RT-X on docker

## Getting Started
### 1.Download the code and pre-trained model
#### Download the code
```bash
    git clone https://gitee.com/AlexandreQiu/rt-x.git
```
#### Download the model
RT-X pre-trained model: [pre-trained model](https://console.cloud.google.com/storage/browser/_details/gresearch/robotics/open_x_embodiment_and_rt_x_oss/rt_1_x_tf_trained_for_002272480_step.zip;tab=live_object)

**Click** [here](https://storage.googleapis.com/gresearch/robotics/open_x_embodiment_and_rt_x_oss/rt_1_x_tf_trained_for_002272480_step.zip) or

```bash
    gsutil -m cp "gs://gresearch/robotics/open_x_embodiment_and_rt_x_oss/rt_1_x_tf_trained_for_002272480_step.zip" .
```

to download pre-trained model and Unzip to the same path as the <code>.ipynb</code> file

### 2.Install docker environment

### 3.Generating docker image

```bash
    docker build -t rt_x .
```

### 4.Run

```bash
    docker run -p 8888:8888 -it --rm --name rt_x rt_x
```