@@ -168,6 +168,7 @@ class IntelRealSenseCameraConfig:
|
||||
width: int | None = None
|
||||
height: int | None = None
|
||||
color_mode: str = "rgb"
|
||||
channels: int | None = None
|
||||
use_depth: bool = False
|
||||
force_hardware_reset: bool = True
|
||||
rotation: int | None = None
|
||||
@@ -179,6 +180,8 @@ class IntelRealSenseCameraConfig:
|
||||
f"`color_mode` is expected to be 'rgb' or 'bgr', but {self.color_mode} is provided."
|
||||
)
|
||||
|
||||
self.channels = 3
|
||||
|
||||
at_least_one_is_not_none = self.fps is not None or self.width is not None or self.height is not None
|
||||
at_least_one_is_none = self.fps is None or self.width is None or self.height is None
|
||||
if at_least_one_is_not_none and at_least_one_is_none:
|
||||
@@ -254,6 +257,7 @@ class IntelRealSenseCamera:
|
||||
self.fps = config.fps
|
||||
self.width = config.width
|
||||
self.height = config.height
|
||||
self.channels = config.channels
|
||||
self.color_mode = config.color_mode
|
||||
self.use_depth = config.use_depth
|
||||
self.force_hardware_reset = config.force_hardware_reset
|
||||
|
||||
@@ -192,6 +192,7 @@ class OpenCVCameraConfig:
|
||||
width: int | None = None
|
||||
height: int | None = None
|
||||
color_mode: str = "rgb"
|
||||
channels: int | None = None
|
||||
rotation: int | None = None
|
||||
mock: bool = False
|
||||
|
||||
@@ -201,6 +202,8 @@ class OpenCVCameraConfig:
|
||||
f"`color_mode` is expected to be 'rgb' or 'bgr', but {self.color_mode} is provided."
|
||||
)
|
||||
|
||||
self.channels = 3
|
||||
|
||||
if self.rotation not in [-90, None, 90, 180]:
|
||||
raise ValueError(f"`rotation` must be in [-90, None, 90, 180] (got {self.rotation})")
|
||||
|
||||
@@ -268,6 +271,7 @@ class OpenCVCamera:
|
||||
self.fps = config.fps
|
||||
self.width = config.width
|
||||
self.height = config.height
|
||||
self.channels = config.channels
|
||||
self.color_mode = config.color_mode
|
||||
self.mock = config.mock
|
||||
|
||||
|
||||
@@ -13,9 +13,12 @@ from functools import cache
|
||||
import cv2
|
||||
import torch
|
||||
import tqdm
|
||||
from deepdiff import DeepDiff
|
||||
from termcolor import colored
|
||||
|
||||
from lerobot.common.datasets.populate_dataset import add_frame, safe_stop_image_writer
|
||||
from lerobot.common.datasets.image_writer import safe_stop_image_writer
|
||||
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
|
||||
from lerobot.common.datasets.utils import get_features_from_robot
|
||||
from lerobot.common.policies.factory import make_policy
|
||||
from lerobot.common.robot_devices.robots.utils import Robot
|
||||
from lerobot.common.robot_devices.utils import busy_wait
|
||||
@@ -227,7 +230,7 @@ def control_loop(
|
||||
control_time_s=None,
|
||||
teleoperate=False,
|
||||
display_cameras=False,
|
||||
dataset=None,
|
||||
dataset: LeRobotDataset | None = None,
|
||||
events=None,
|
||||
policy=None,
|
||||
device=None,
|
||||
@@ -247,7 +250,7 @@ def control_loop(
|
||||
if teleoperate and policy is not None:
|
||||
raise ValueError("When `teleoperate` is True, `policy` should be None.")
|
||||
|
||||
if dataset is not None and fps is not None and dataset["fps"] != fps:
|
||||
if dataset is not None and fps is not None and dataset.fps != fps:
|
||||
raise ValueError(f"The dataset fps should be equal to requested fps ({dataset['fps']} != {fps}).")
|
||||
|
||||
timestamp = 0
|
||||
@@ -268,7 +271,8 @@ def control_loop(
|
||||
action = {"action": action}
|
||||
|
||||
if dataset is not None:
|
||||
add_frame(dataset, observation, action)
|
||||
frame = {**observation, **action}
|
||||
dataset.add_frame(frame)
|
||||
|
||||
if display_cameras and not is_headless():
|
||||
image_keys = [key for key in observation if "image" in key]
|
||||
@@ -336,3 +340,24 @@ def sanity_check_dataset_name(repo_id, policy):
|
||||
raise ValueError(
|
||||
f"Your dataset name does not begin with 'eval_' ({dataset_name}), but a policy is provided ({policy})."
|
||||
)
|
||||
|
||||
|
||||
def sanity_check_dataset_robot_compatibility(
|
||||
dataset: LeRobotDataset, robot: Robot, fps: int, use_videos: bool
|
||||
) -> None:
|
||||
fields = [
|
||||
("robot_type", dataset.meta.robot_type, robot.robot_type),
|
||||
("fps", dataset.fps, fps),
|
||||
("features", dataset.features, get_features_from_robot(robot, use_videos)),
|
||||
]
|
||||
|
||||
mismatches = []
|
||||
for field, dataset_value, present_value in fields:
|
||||
diff = DeepDiff(dataset_value, present_value, exclude_regex_paths=[r".*\['info'\]$"])
|
||||
if diff:
|
||||
mismatches.append(f"{field}: expected {present_value}, got {dataset_value}")
|
||||
|
||||
if mismatches:
|
||||
raise ValueError(
|
||||
"Dataset metadata compatibility check failed with mismatches:\n" + "\n".join(mismatches)
|
||||
)
|
||||
|
||||
@@ -226,6 +226,42 @@ class ManipulatorRobot:
|
||||
self.is_connected = False
|
||||
self.logs = {}
|
||||
|
||||
def get_motor_names(self, arm: dict[str, MotorsBus]) -> list:
|
||||
return [f"{arm}_{motor}" for arm, bus in arm.items() for motor in bus.motors]
|
||||
|
||||
@property
|
||||
def camera_features(self) -> dict:
|
||||
cam_ft = {}
|
||||
for cam_key, cam in self.cameras.items():
|
||||
key = f"observation.images.{cam_key}"
|
||||
cam_ft[key] = {
|
||||
"shape": (cam.height, cam.width, cam.channels),
|
||||
"names": ["height", "width", "channels"],
|
||||
"info": None,
|
||||
}
|
||||
return cam_ft
|
||||
|
||||
@property
|
||||
def motor_features(self) -> dict:
|
||||
action_names = self.get_motor_names(self.leader_arms)
|
||||
state_names = self.get_motor_names(self.leader_arms)
|
||||
return {
|
||||
"action": {
|
||||
"dtype": "float32",
|
||||
"shape": (len(action_names),),
|
||||
"names": action_names,
|
||||
},
|
||||
"observation.state": {
|
||||
"dtype": "float32",
|
||||
"shape": (len(state_names),),
|
||||
"names": state_names,
|
||||
},
|
||||
}
|
||||
|
||||
@property
|
||||
def features(self):
|
||||
return {**self.motor_features, **self.camera_features}
|
||||
|
||||
@property
|
||||
def has_camera(self):
|
||||
return len(self.cameras) > 0
|
||||
|
||||
@@ -11,6 +11,7 @@ def get_arm_id(name, arm_type):
|
||||
class Robot(Protocol):
|
||||
# TODO(rcadene, aliberts): Add unit test checking the protocol is implemented in the corresponding classes
|
||||
robot_type: str
|
||||
features: dict
|
||||
|
||||
def connect(self): ...
|
||||
def run_calibration(self): ...
|
||||
|
||||
Reference in New Issue
Block a user