Files
lerobot-clone/src/lerobot/cameras/camera.py
Steven Palma bc38261321 feat(robots): use read_latest() camera (#2987)
* feat(robots): use read_latest() camera

* fix(test): add read_latest reachy cam mock
2026-02-18 20:05:15 +01:00

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