mirror of
https://github.com/huggingface/lerobot.git
synced 2026-05-31 10:51:35 +00:00
185 lines
6.2 KiB
Python
185 lines
6.2 KiB
Python
#!/usr/bin/env python
|
|
|
|
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import abc
|
|
import warnings
|
|
from typing import Any
|
|
|
|
from numpy.typing import NDArray # type: ignore # TODO: add type stubs for numpy.typing
|
|
|
|
from .configs import CameraConfig
|
|
|
|
|
|
class Camera(abc.ABC):
|
|
"""Base class for camera implementations.
|
|
|
|
Defines a standard interface for camera operations across different backends.
|
|
Subclasses must implement all abstract methods.
|
|
|
|
Manages basic camera properties (FPS, resolution) and core operations:
|
|
- Connection/disconnection
|
|
- Frame capture (sync/async/latest)
|
|
|
|
Attributes:
|
|
fps (int | None): Configured frames per second
|
|
width (int | None): Frame width in pixels
|
|
height (int | None): Frame height in pixels
|
|
"""
|
|
|
|
def __init__(self, config: CameraConfig):
|
|
"""Initialize the camera with the given configuration.
|
|
|
|
Args:
|
|
config: Camera configuration containing FPS and resolution.
|
|
"""
|
|
self.fps: int | None = config.fps
|
|
self.width: int | None = config.width
|
|
self.height: int | None = config.height
|
|
|
|
def __enter__(self):
|
|
"""
|
|
Context manager entry.
|
|
Automatically connects to the camera.
|
|
"""
|
|
self.connect()
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc_value, traceback) -> None:
|
|
"""
|
|
Context manager exit.
|
|
Automatically disconnects, ensuring resources are released even on error.
|
|
"""
|
|
self.disconnect()
|
|
|
|
def __del__(self) -> None:
|
|
"""
|
|
Destructor safety net.
|
|
Attempts to disconnect if the object is garbage collected without cleanup.
|
|
"""
|
|
try:
|
|
if self.is_connected:
|
|
self.disconnect()
|
|
except Exception: # nosec B110
|
|
pass
|
|
|
|
@property
|
|
@abc.abstractmethod
|
|
def is_connected(self) -> bool:
|
|
"""Check if the camera is currently connected.
|
|
|
|
Returns:
|
|
bool: True if the camera is connected and ready to capture frames,
|
|
False otherwise.
|
|
"""
|
|
pass
|
|
|
|
@staticmethod
|
|
@abc.abstractmethod
|
|
def find_cameras() -> list[dict[str, Any]]:
|
|
"""Detects available cameras connected to the system.
|
|
Returns:
|
|
List[Dict[str, Any]]: A list of dictionaries,
|
|
where each dictionary contains information about a detected camera.
|
|
"""
|
|
pass
|
|
|
|
@abc.abstractmethod
|
|
def connect(self, warmup: bool = True) -> None:
|
|
"""Establish connection to the camera.
|
|
|
|
Args:
|
|
warmup: If True (default), captures a warmup frame before returning. Useful
|
|
for cameras that require time to adjust capture settings.
|
|
If False, skips the warmup frame.
|
|
"""
|
|
pass
|
|
|
|
@abc.abstractmethod
|
|
def read(self) -> NDArray[Any]:
|
|
"""Capture and return a single frame from the camera synchronously.
|
|
|
|
This is a blocking call that will wait for the hardware and its SDK.
|
|
|
|
Returns:
|
|
np.ndarray: Captured frame as a numpy array.
|
|
"""
|
|
pass
|
|
|
|
@abc.abstractmethod
|
|
def async_read(self, timeout_ms: float = ...) -> NDArray[Any]:
|
|
"""Return the most recent new frame.
|
|
|
|
This method retrieves the latest frame captured by the background thread.
|
|
If a new frame is already available in the buffer (captured since the last call),
|
|
it returns it immediately.
|
|
|
|
It blocks up to `timeout_ms` only if the buffer is empty or if the latest frame
|
|
was already consumed by a previous `async_read` call.
|
|
|
|
Essentially, this method return the latest unconsumed frame, waiting if necessary
|
|
for a new one to arrive within the specified timeout.
|
|
|
|
Usage:
|
|
- Ideal for control loops where you want to ensure every processed frame
|
|
is fresh, effectively synchronizing your loop to the camera's FPS.
|
|
- Causes of a timeout usually include: very low camera FPS, heavy processing load,
|
|
or if the camera is disconnected.
|
|
|
|
Args:
|
|
timeout_ms: Maximum time to wait for a new frame in milliseconds.
|
|
Defaults to 200ms (0.2s).
|
|
|
|
Returns:
|
|
np.ndarray: Captured frame as a numpy array.
|
|
|
|
Raises:
|
|
TimeoutError: If no new frame arrives within `timeout_ms`.
|
|
"""
|
|
pass
|
|
|
|
def read_latest(self, max_age_ms: int = 500) -> NDArray[Any]:
|
|
"""Return the most recent frame captured immediately (Peeking).
|
|
|
|
This method is non-blocking and returns whatever is currently in the
|
|
memory buffer. The frame may be stale,
|
|
meaning it could have been captured a while ago (hanging camera scenario e.g.).
|
|
|
|
Usage:
|
|
Ideal for scenarios requiring zero latency or decoupled frequencies & when
|
|
we want a guaranteed frame, such as UI visualization, logging, or
|
|
non-critical monitoring.
|
|
|
|
Returns:
|
|
NDArray[Any]: The frame image (numpy array).
|
|
|
|
Raises:
|
|
TimeoutError: If the latest frame is older than `max_age_ms`.
|
|
NotConnectedError: If the camera is not connected.
|
|
RuntimeError: If the camera is connected but has not captured any frames yet.
|
|
"""
|
|
warnings.warn(
|
|
f"{self.__class__.__name__}.read_latest() is not implemented. "
|
|
"Please override read_latest(); it will be required in future releases.",
|
|
FutureWarning,
|
|
stacklevel=2,
|
|
)
|
|
return self.async_read()
|
|
|
|
@abc.abstractmethod
|
|
def disconnect(self) -> None:
|
|
"""Disconnect from the camera and release resources."""
|
|
pass
|