WIP
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31429e82d0
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6366c7f46e
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@ -2,8 +2,9 @@
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Wrapper for Reachy2 camera from sdk
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"""
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from dataclasses import dataclass
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from dataclasses import dataclass, replace
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import cv2
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import numpy as np
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from reachy2_sdk.media.camera import CameraView
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from reachy2_sdk.media.camera_manager import CameraManager
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@ -18,6 +19,14 @@ class ReachyCameraConfig:
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rotation: int | None = None
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mock: bool = False
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def __post_init__(self):
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if self.color_mode not in ["rgb", "bgr"]:
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raise ValueError(
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f"`color_mode` is expected to be 'rgb' or 'bgr', but {self.color_mode} is provided."
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)
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self.channels = 3
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class ReachyCamera:
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def __init__(
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@ -29,8 +38,18 @@ class ReachyCamera:
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config: ReachyCameraConfig | None = None,
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**kwargs,
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):
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if config is None:
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config = ReachyCameraConfig()
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# Overwrite config arguments using kwargs
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config = replace(config, **kwargs)
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self.host = host
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self.port = port
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self.width = config.width
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self.height = config.height
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self.channels = config.channels
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self.fps = config.fps
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self.image_type = image_type
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self.name = name
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self.config = config
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@ -48,21 +67,24 @@ class ReachyCamera:
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if not self.is_connected:
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self.connect()
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frame = None
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if self.name == "teleop" and hasattr(self.cam_manager, "teleop"):
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if self.image_type == "left":
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return self.cam_manager.teleop.get_frame(CameraView.LEFT)
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# return self.cam_manager.teleop.get_compressed_frame(CameraView.LEFT)
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frame = self.cam_manager.teleop.get_frame(CameraView.LEFT)
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elif self.image_type == "right":
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return self.cam_manager.teleop.get_frame(CameraView.RIGHT)
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# return self.cam_manager.teleop.get_compressed_frame(CameraView.RIGHT)
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else:
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return None
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frame = self.cam_manager.teleop.get_frame(CameraView.RIGHT)
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elif self.name == "depth" and hasattr(self.cam_manager, "depth"):
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if self.image_type == "depth":
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return self.cam_manager.depth.get_depth_frame()
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frame = self.cam_manager.depth.get_depth_frame()
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elif self.image_type == "rgb":
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return self.cam_manager.depth.get_frame()
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# return self.cam_manager.depth.get_compressed_frame()
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else:
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return None
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return None
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frame = self.cam_manager.depth.get_frame()
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if frame is None:
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return None
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if frame is not None and self.config.color_mode == "rgb":
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img, timestamp = frame
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frame = (cv2.cvtColor(img, cv2.COLOR_BGR2RGB), timestamp)
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return frame
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@ -46,7 +46,7 @@ def log_control_info(robot: Robot, dt_s, episode_index=None, frame_index=None, f
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log_dt("dt", dt_s)
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# TODO(aliberts): move robot-specific logs logic in robot.print_logs()
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if not robot.robot_type.startswith(("stretch", "Reachy")):
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if not robot.robot_type.lower().startswith(("stretch", "reachy")):
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for name in robot.leader_arms:
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key = f"read_leader_{name}_pos_dt_s"
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if key in robot.logs:
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@ -18,10 +18,11 @@ import time
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from copy import copy
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from dataclasses import dataclass, field, replace
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import numpy as np
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import torch
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from reachy2_sdk import ReachySDK
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from lerobot.common.robot_devices.cameras.utils import Camera
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from lerobot.common.robot_devices.cameras.reachy2 import ReachyCamera
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REACHY_MOTORS = [
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"neck_yaw.pos",
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@ -52,8 +53,9 @@ REACHY_MOTORS = [
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@dataclass
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class ReachyRobotConfig:
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robot_type: str | None = "reachy2"
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cameras: dict[str, Camera] = field(default_factory=lambda: {})
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cameras: dict[str, ReachyCamera] = field(default_factory=lambda: {})
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ip_address: str | None = "172.17.135.207"
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# ip_address: str | None = "192.168.0.197"
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# ip_address: str | None = "localhost"
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@ -74,10 +76,8 @@ class ReachyRobot:
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self.is_connected = False
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self.teleop = None
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self.logs = {}
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self.reachy: ReachySDK = ReachySDK(host=config.ip_address)
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self.reachy.turn_on()
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self.is_connected = True # at init Reachy2 is in fact connected...
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self.mobile_base_available = self.reachy.mobile_base is not None
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self.reachy = None
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self.mobile_base_available = False
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self.state_keys = None
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self.action_keys = None
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@ -96,16 +96,19 @@ class ReachyRobot:
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@property
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def motor_features(self) -> dict:
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motors = REACHY_MOTORS
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# if self.mobile_base_available:
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# motors += REACHY_MOBILE_BASE
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return {
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"action": {
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"dtype": "float32",
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"shape": (len(REACHY_MOTORS),),
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"names": REACHY_MOTORS,
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"shape": (len(motors),),
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"names": motors,
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},
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"observation.state": {
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"dtype": "float32",
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"shape": (len(REACHY_MOTORS),),
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"names": REACHY_MOTORS,
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"shape": (len(motors),),
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"names": motors,
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},
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}
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@ -114,14 +117,16 @@ class ReachyRobot:
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return {**self.motor_features, **self.camera_features}
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def connect(self) -> None:
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self.reachy = ReachySDK(host=self.config.ip_address)
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print("Connecting to Reachy")
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self.reachy.is_connected = self.reachy.connect()
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self.reachy.connect()
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self.is_connected = self.reachy.is_connected
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if not self.is_connected:
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print(
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f"Cannot connect to Reachy at address {self.config.ip_address}. Maybe a connection already exists."
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)
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raise ConnectionError()
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self.reachy.turn_on()
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# self.reachy.turn_on()
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print(self.cameras)
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if self.cameras is not None:
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for name in self.cameras:
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@ -133,6 +138,8 @@ class ReachyRobot:
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print("Could not connect to the cameras, check that all cameras are plugged-in.")
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raise ConnectionError()
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self.mobile_base_available = self.reachy.mobile_base is not None
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def run_calibration(self):
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pass
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@ -169,8 +176,14 @@ class ReachyRobot:
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action["mobile_base_x.vel"] = last_cmd_vel["x"]
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action["mobile_base_y.vel"] = last_cmd_vel["y"]
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action["mobile_base_theta.vel"] = last_cmd_vel["theta"]
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else:
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action["mobile_base_x.vel"] = 0
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action["mobile_base_y.vel"] = 0
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action["mobile_base_theta.vel"] = 0
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action = torch.as_tensor(list(action.values()))
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dtype = self.motor_features["action"]["dtype"]
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action = np.array(list(action.values()), dtype=dtype)
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# action = torch.as_tensor(list(action.values()))
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obs_dict = self.capture_observation()
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action_dict = {}
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if self.state_keys is None:
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self.state_keys = list(state)
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state = torch.as_tensor(list(state.values()))
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dtype = self.motor_features["observation.state"]["dtype"]
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state = np.array(list(state.values()), dtype=dtype)
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# state = torch.as_tensor(list(state.values()))
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# Capture images from cameras
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images = {}
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@ -233,6 +248,7 @@ class ReachyRobot:
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images[name] = self.cameras[name].read() # Reachy cameras read() is not blocking?
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# print(f'name: {name} img: {images[name]}')
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if images[name] is not None:
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# images[name] = copy(images[name][0]) # seems like I need to copy?
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images[name] = torch.from_numpy(copy(images[name][0])) # seems like I need to copy?
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self.logs[f"read_camera_{name}_dt_s"] = images[name][1] # full timestamp, TODO dt
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print("Disconnecting")
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self.is_connected = False
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print("Turn off")
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self.reachy.turn_off_smoothly()
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# self.reachy.turn_off_smoothly()
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# self.reachy.turn_off()
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print("\t turn off done")
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self.reachy.disconnect()
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@ -12,9 +12,13 @@ cameras:
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head_left:
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_target_: lerobot.common.robot_devices.cameras.reachy2.ReachyCamera
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name: teleop
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host: 172.17.135.207
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host: 172.17.134.85
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# host: 192.168.0.197
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# host: localhost
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port: 50065
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fps: 30
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width: 960
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height: 720
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image_type: left
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# head_right:
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# _target_: lerobot.common.robot_devices.cameras.reachy2.ReachyCamera
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# host: 172.17.135.207
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# port: 50065
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# image_type: right
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# fps: 30
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# width: 960
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# height: 720
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# torso_rgb:
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# _target_: lerobot.common.robot_devices.cameras.reachy2.ReachyCamera
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# name: depth
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# # host: localhost
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# port: 50065
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# image_type: rgb
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# fps: 30
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# width: 1280
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# height: 720
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# torso_depth:
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# _target_: lerobot.common.robot_devices.cameras.reachy2.ReachyCamera
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# name: depth
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# host: 172.17.135.207
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# port: 50065
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# image_type: depth
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# fps: 30
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# width: 1280
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# height: 720
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@ -191,7 +191,7 @@ def teleoperate(
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@safe_disconnect
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def record(
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robot: Robot,
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root: str,
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root: Path,
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repo_id: str,
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single_task: str,
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pretrained_policy_name_or_path: str | None = None,
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video: bool = True,
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run_compute_stats: bool = True,
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push_to_hub: bool = True,
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tags: list[str] | None = None,
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num_image_writer_processes: int = 0,
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num_image_writer_threads_per_camera: int = 4,
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display_cameras: bool = True,
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dataset.consolidate(run_compute_stats)
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if push_to_hub:
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dataset.push_to_hub()
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dataset.push_to_hub(tags=tags)
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log_say("Exiting", play_sounds)
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return dataset
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parser_record.add_argument(
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"--root",
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type=Path,
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default="data",
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default=None,
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help="Root directory where the dataset will be stored locally at '{root}/{repo_id}' (e.g. 'data/hf_username/dataset_name').",
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)
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parser_record.add_argument(
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default="lerobot/test",
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help="Dataset identifier. By convention it should match '{hf_username}/{dataset_name}' (e.g. `lerobot/test`).",
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)
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parser_record.add_argument(
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"--resume",
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type=int,
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default=0,
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help="Resume recording on an existing dataset.",
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)
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parser_record.add_argument(
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"--warmup-time-s",
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type=int,
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"Not enough threads might cause low camera fps."
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),
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)
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parser_record.add_argument(
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"--force-override",
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type=int,
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default=0,
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help="By default, data recording is resumed. When set to 1, delete the local directory and start data recording from scratch.",
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)
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parser_record.add_argument(
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"-p",
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"--pretrained-policy-name-or-path",
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parser_replay.add_argument(
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"--root",
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type=Path,
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default="data",
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default=None,
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help="Root directory where the dataset will be stored locally at '{root}/{repo_id}' (e.g. 'data/hf_username/dataset_name').",
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)
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parser_replay.add_argument(
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