rtrtwrw/roarm_m3_candy_pick_place
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How to use polrolnik2/pi05_roarm_m3_candy_pick_place with LeRobot:
# See https://github.com/huggingface/lerobot?tab=readme-ov-file#installation for more details git clone https://github.com/huggingface/lerobot.git cd lerobot pip install -e .[smolvla]
# Launch finetuning on your dataset python lerobot/scripts/train.py \ --policy.path=polrolnik2/pi05_roarm_m3_candy_pick_place \ --dataset.repo_id=lerobot/svla_so101_pickplace \ --batch_size=64 \ --steps=20000 \ --output_dir=outputs/train/my_smolvla \ --job_name=my_smolvla_training \ --policy.device=cuda \ --wandb.enable=true
# Run the policy using the record function
python -m lerobot.record \
--robot.type=so101_follower \
--robot.port=/dev/ttyACM0 \ # <- Use your port
--robot.id=my_blue_follower_arm \ # <- Use your robot id
--robot.cameras="{ front: {type: opencv, index_or_path: 8, width: 640, height: 480, fps: 30}}" \ # <- Use your cameras
--dataset.single_task="Grasp a lego block and put it in the bin." \ # <- Use the same task description you used in your dataset recording
--dataset.repo_id=HF_USER/dataset_name \ # <- This will be the dataset name on HF Hub
--dataset.episode_time_s=50 \
--dataset.num_episodes=10 \
--policy.path=polrolnik2/pi05_roarm_m3_candy_pick_placertrtwrw/roarm_m3_candy_pick_place
Finetuned from lerobot/smolvla_base with LeRobot 0.6.2.
| dataset | rtrtwrw/roarm_m3_candy_pick_place |
| steps | 30000 |
| batch size | 4 |
| precision | bf16 |
| seed | 1000 |
| checkpoint | last |
This dataset names its cameras front and wrist, while SmolVLA expects
camera1/camera2. Training used this rename map, and inference needs the same:
{
"observation.images.front": "observation.images.base_0_rgb",
"observation.images.wrist": "observation.images.left_wrist_0_rgb"
}
from lerobot.policies.smolvla.modeling_smolvla import SmolVLAPolicy
policy = SmolVLAPolicy.from_pretrained("polrolnik2/pi05_roarm_m3_candy_pick_place")