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# Install
Create a virtual environment with Python 3.10 and activate it, e.g. with [`miniconda`](https://docs.anaconda.com/free/miniconda/index.html):
```bash
conda create -y -n lerobot python=3.10
conda activate lerobot
```
Install 🤗 LeRobot:
```bash
pip install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple
# pip uninstall numpy
# pip install numpy==1.26.0
# pip install pynput
```
/!\ For Linux only, ffmpeg and opencv requires conda install for now. Run this exact sequence of commands:
```bash
conda install ffmpeg=7.1.1 -c conda-forge
# pip uninstall opencv-python
# conda install "opencv>=4.10.0"
```
Install Realman SDK:
```bash
pip install Robotic_Arm
pip install pygame
```
# piper集成lerobot
见lerobot_piper_tutorial/1. 🤗 LeRobot新增机械臂的一般流程.pdf
# Teleoperate
```bash
cd piper_scripts/
bash can_activate.sh can0 1000000
cd ..
python lerobot/scripts/control_robot.py \
--robot.type=piper \
--robot.inference_time=false \
--control.type=teleoperate
```
# Record
Set dataset root path
```bash
HF_USER=$PWD/data
echo $HF_USER
```
```bash
python lerobot/scripts/control_robot.py \
--robot.type=piper \
--robot.inference_time=false \
--control.type=record \
--control.fps=30 \
--control.single_task="move" \
--control.repo_id=${HF_USER}/test \
--control.num_episodes=2 \
--control.warmup_time_s=2 \
--control.episode_time_s=10 \
--control.reset_time_s=10 \
--control.play_sounds=true \
--control.push_to_hub=false
```
Press right arrow -> at any time during episode recording to early stop and go to resetting. Same during resetting, to early stop and to go to the next episode recording.
Press left arrow <- at any time during episode recording or resetting to early stop, cancel the current episode, and re-record it.
Press escape ESC at any time during episode recording to end the session early and go straight to video encoding and dataset uploading.
# visualize
```bash
python lerobot/scripts/visualize_dataset.py \
--repo-id ${HF_USER}/test \
--episode-index 0
```
# Replay
```bash
python lerobot/scripts/control_robot.py \
--robot.type=piper \
--robot.inference_time=false \
--control.type=replay \
--control.fps=30 \
--control.repo_id=${HF_USER}/test \
--control.episode=0
```
# Caution
1. In lerobots/common/datasets/video_utils, the vcodec is set to **libopenh264**, please find your vcodec by **ffmpeg -codecs**
# Train
具体的训练流程见lerobot_piper_tutorial/2. 🤗 AutoDL训练.pdf
```bash
python lerobot/scripts/train.py \
--dataset.repo_id=${HF_USER}/jack \
--policy.type=act \
--output_dir=outputs/train/act_jack \
--job_name=act_jack \
--device=cuda \
--wandb.enable=true
```
# Inference
还是使用control_robot.py中的record loop配置 **--robot.inference_time=true** 可以将手柄移出。
```bash
python lerobot/scripts/control_robot.py \
--robot.type=piper \
--robot.inference_time=true \
--control.type=record \
--control.fps=30 \
--control.single_task="move" \
--control.repo_id=$USER/eval_act_jack \
--control.num_episodes=1 \
--control.warmup_time_s=2 \
--control.episode_time_s=30 \
--control.reset_time_s=10 \
--control.push_to_hub=false \
--control.policy.path=outputs/train/act_koch_pick_place_lego/checkpoints/latest/pretrained_model
```