s1eepypillow/grad_block_merged_task12_test2
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How to use s1eepypillow/task12_act_test2 with LeRobot:
모델명: task12_act_test2
so_followertop, wristTask 1
Task 2
(수정 필요)
| Setting | Value |
|---|---|
| Training steps | 100,000 |
| Batch size | 64 |
| Optimizer | adamw |
| Learning rate | 1e-05 |
| Seed | 1000 |
| LeRobot version | 0.6.1 |
이 모델은 다음의 관측(observation) 특징을 입력받아 행동(action) 특징을 출력합니다.
Inputs
| Feature | Type | Shape |
|---|---|---|
observation.state |
STATE | (6,) |
observation.images.top |
VISUAL | (3, 480, 640) |
observation.images.wrist |
VISUAL | (3, 480, 640) |
observation.environment_state |
ENV | (1,) |
Outputs
| Feature | Type | Shape |
|---|---|---|
action |
ACTION | (6,) |
lerobot-rollout \
--strategy.type=base \
--robot.type=so_follower \
--robot.port=<your_robot_port> \
--robot.cameras="{ <camera_1>: {type: opencv, index_or_path: <index_or_path>, width: 640, height: 480, fps: 30}, <camera_2>: {type: opencv, index_or_path: <index_or_path>, width: 640, height: 480, fps: 30}}" \
--policy.path=s1eepypillow/task12_act_test2 \
--task="task1" \
--duration=60