Files
lerobot/src/lerobot/cameras/zmq/image_server.py
T
Martino Russi 4f2ef024d8 feat(robots): Unitree G1 WBC implementation (#2876)
* move locomotion from examples to robot, move controller to teleoperator class

* modify teleoperate to send back actions to robot

* whole body controller

* add holosoma to locomotros

* various updates

* update joint zeroing etc

* ensure safefail with locomotion

* add unitree locomotion

* launch camera from g1 server

* publish at varying framerates

* fix async read in camera

* attempting to fix camera lag

* test camera speedup

* training

* inference works

* remove logging from pi0

* remove logging

* push local changes

* testing

* final changes

* revert control_utils

* revert utils

* revert

* revert g1

* revert again:

* revert utils

* push recents

* remove examples

* remove junk

* remove mjlog

* revergt edit_dataset

* Update lerobot_edit_dataset.py

Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com>

* undo teleop changes

* revert logging

* remove loggings

* remove loogs

* revert dataset tools

* Update dataset_tools.py

Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com>

* move gravity to utils

* revert changes

* remove matplotlib viewer (rerun works fine)

* factory revert

* send policy action directly

* recent changes

* implement flexible action space

* send empty command if arms are missing

* rename locomotion to controller

* add init

* implement feedback

* add feedback for teleoperator

* fix ruff

* fix ruff

* use read_latest

* fix zmq camera

* revert exo_serial

* simplify PR

* revert exo_changes

* revert camera_zmq

* Update camera_zmq.py

Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com>

* remove frame duplication from zmq server

* revert channerfactoryinitialize

* keep channelfactoryinitialize

* remove zeroing out logic

* fix typo

* refactor teleop class

* simplify teleop further

* import armindex at the top

* fix visualizer again

* revert ik helper

* push stuff

* simplify image_server

* update image_server

* asd

* add threading logic

* simplify ik helper stuff

* simplify holosoma

* fix names

* fix docs

* revert leg override

* clean connect

* fix controller

* fix ruff

* clean teleoperator

* set_from_wireless

* avoid double initializations

* refactor robot class

* fix pre-commit

* update docs

* update docs format

* add teleop instructions

* unitree_g1 specific exception in record/teleoperate

* add thumbnail to docs

* add thumbnail to doc

* refactor(unitree): multiple improvements (#3103)

* refactor(unitree): multiple improvements

* test(unitree): added tests + improved installation instructions

* refactor(robots): minor changes unitree robot kinematic

* chore(robots): rename g1 kinematics file

---------

Signed-off-by: Martino Russi <77496684+nepyope@users.noreply.github.com>
Signed-off-by: Steven Palma <imstevenpmwork@ieee.org>
Co-authored-by: Steven Palma <imstevenpmwork@ieee.org>
Co-authored-by: Steven Palma <steven.palma@huggingface.co>
2026-03-08 11:33:24 +01:00

183 lines
6.5 KiB
Python

#!/usr/bin/env python
# Copyright 2026 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.
"""
Streams camera images over ZMQ.
Uses lerobot's OpenCVCamera for capture, encodes images to base64 and sends them over ZMQ.
"""
import base64
import contextlib
import json
import logging
import threading
import time
from collections import deque
import cv2
import numpy as np
import zmq
from lerobot.cameras.configs import ColorMode
from lerobot.cameras.opencv import OpenCVCamera, OpenCVCameraConfig
logger = logging.getLogger(__name__)
def encode_image(image: np.ndarray, quality: int = 80) -> str:
"""Encode RGB image to base64 JPEG string."""
_, buffer = cv2.imencode(".jpg", image, [int(cv2.IMWRITE_JPEG_QUALITY), quality])
return base64.b64encode(buffer).decode("utf-8")
class CameraCaptureThread:
"""Background thread that continuously captures and encodes frames from a camera."""
def __init__(self, camera: OpenCVCamera, name: str):
self.camera = camera
self.name = name
self.latest_encoded: str | None = None # Pre-encoded JPEG as base64
self.latest_timestamp: float = 0.0
self.frame_lock = threading.Lock()
self.running = False
self.thread: threading.Thread | None = None
def start(self):
"""Start the capture thread."""
self.running = True
self.thread = threading.Thread(target=self._capture_loop, daemon=True)
self.thread.start()
def stop(self):
"""Stop the capture thread."""
self.running = False
if self.thread:
self.thread.join(timeout=1.0)
def _capture_loop(self):
"""Continuously capture and encode frames at the camera's native rate."""
while self.running:
try:
frame = self.camera.read() # Blocks at camera's native rate
timestamp = time.time()
# Encode immediately in capture thread (this is the slow part)
encoded = encode_image(frame)
with self.frame_lock:
self.latest_encoded = encoded
self.latest_timestamp = timestamp
except Exception as e:
logger.warning(f"Camera {self.name} capture error: {e}")
time.sleep(0.01)
def get_latest(self) -> tuple[str | None, float]:
"""Get the latest encoded frame and its timestamp."""
with self.frame_lock:
return self.latest_encoded, self.latest_timestamp
class ImageServer:
def __init__(self, config: dict, port: int = 5555):
# fps controls the publish loop rate (how often frames are sent over ZMQ), not the camera capture rate
self.fps = config.get("fps", 30)
self.cameras: dict[str, OpenCVCamera] = {}
self.capture_threads: dict[str, CameraCaptureThread] = {}
for name, cfg in config.get("cameras", {}).items():
shape = cfg.get("shape", [480, 640])
cam_config = OpenCVCameraConfig(
index_or_path=cfg.get("device_id", 0),
fps=self.fps,
width=shape[1],
height=shape[0],
color_mode=ColorMode.RGB,
)
camera = OpenCVCamera(cam_config)
camera.connect()
self.cameras[name] = camera
logger.info(f"Camera {name}: {shape[1]}x{shape[0]}")
# Create capture thread for this camera
capture_thread = CameraCaptureThread(camera, name)
self.capture_threads[name] = capture_thread
# ZMQ PUB socket
self.context = zmq.Context()
self.socket = self.context.socket(zmq.PUB)
self.socket.setsockopt(zmq.SNDHWM, 20)
self.socket.setsockopt(zmq.LINGER, 0)
self.socket.bind(f"tcp://*:{port}")
logger.info(f"ImageServer running on port {port}")
def run(self):
frame_count = 0
frame_times = deque(maxlen=60)
last_published_ts: dict[str, float] = {}
# Start all capture threads
for capture_thread in self.capture_threads.values():
capture_thread.start()
# Wait for first frames to be captured and encoded
logger.info("Waiting for cameras to start capturing...")
for name, capture_thread in self.capture_threads.items():
while capture_thread.get_latest()[0] is None:
time.sleep(0.01)
logger.info(f"Camera {name} ready (capture + encode in background)")
try:
while True:
t0 = time.time()
# Build message
message = {"timestamps": {}, "images": {}}
for name, capture_thread in self.capture_threads.items():
encoded, timestamp = capture_thread.get_latest()
if encoded is not None and timestamp > last_published_ts.get(name, 0.0):
message["timestamps"][name] = timestamp
message["images"][name] = encoded
last_published_ts[name] = timestamp
# Send as JSON string (suppress if buffer full)
with contextlib.suppress(zmq.Again):
self.socket.send_string(json.dumps(message), zmq.NOBLOCK)
frame_count += 1
frame_times.append(time.time() - t0)
if frame_count % 60 == 0:
logger.debug(f"FPS: {len(frame_times) / sum(frame_times):.1f}")
sleep = (1.0 / self.fps) - (time.time() - t0)
if sleep > 0:
time.sleep(sleep)
except KeyboardInterrupt:
pass
finally:
for capture_thread in self.capture_threads.values():
capture_thread.stop()
for cam in self.cameras.values():
cam.disconnect()
self.socket.close()
self.context.term()
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
config = {"fps": 30, "cameras": {"head_camera": {"device_id": 4, "shape": [480, 640]}}}
ImageServer(config, port=5555).run()