voyant-api 0.8.1

Python bindings for Voyant Photonics, Inc. sensors

Voyant API - Python Bindings

Python bindings for Voyant Photonics LiDAR sensors, providing high-performance access to point cloud data.

Installation

pip install voyant-api

Sensor compatibility

Sensor	Client
Carbon	CarbonClient + CarbonConfig
Meadowlark	VoyantClient (deprecated — see below)

Quick Start

Receiving live data (Carbon)

import time
from voyant_api import CarbonClient, CarbonConfig, init_voyant_logging

init_voyant_logging()

config = CarbonConfig()
config.set_bind_addr("0.0.0.0:5678")
config.set_group_addr("224.0.0.0")
config.set_interface_addr("192.168.1.100")

client = CarbonClient(config)
client.start()

# Press Ctrl+C to stop
while client.is_running():
    frame = client.try_receive_frame()
    if frame is not None:
        print(frame)

        # Get point cloud as numpy array (N x 4: x, y, z, radial_vel)
        xyzv = frame.xyzv()
        print(f"Points shape: {xyzv.shape}")
    else:
        time.sleep(0.001)

Config can also be loaded from a JSON file — see CarbonConfig JSON format below.

Recording data

import time
from voyant_api import CarbonClient, CarbonConfig, VoyantRecorder, RecordStatus, init_voyant_logging

init_voyant_logging()

config = CarbonConfig()
config.set_bind_addr("0.0.0.0:5678")
config.set_group_addr("224.0.0.0")
config.set_interface_addr("192.168.1.100")

client = CarbonClient(config)
client.start()

with VoyantRecorder(
    output_path="my_recording.bin",
    timestamp_filename=True,
    max_total_frames=1000,  # Optional: stop after 1000 frames
) as recorder:
    while client.is_running():
        frame = client.try_receive_frame()
        if frame is not None:
            status = recorder.record_frame(frame)
            if status == RecordStatus.STOP:
                break
        else:
            time.sleep(0.001)

Playing back recordings

from voyant_api import VoyantPlayback, init_voyant_logging
from voyant_api.pandas_utils import frame_to_dataframe

init_voyant_logging()

with VoyantPlayback(filter_points=True) as playback:
    playback.open("my_recording.bin")

    for frame in playback:
        if frame is None:
            break

        print(frame)

        # Convert to pandas DataFrame
        df = frame_to_dataframe(frame)
        print(df.head())

Converting recordings to PCD

from voyant_api import VoyantPlayback, init_voyant_logging
from voyant_api.pcd_utils import save_frame_to_pcd, frame_to_extended_pcd

init_voyant_logging()

with VoyantPlayback(filter_points=True) as playback:
    playback.open("my_recording.bin")

    for frame in playback:
        if frame is None:
            break

        # Save directly to .pcd file
        save_frame_to_pcd(frame, f"frame_{frame.frame_index}.pcd")

        # Or get a PointCloud object for further processing
        pc = frame_to_extended_pcd(frame)
        pc.save(f"frame_{frame.frame_index}.pcd")

API Overview

CarbonClient

Receives live data from Carbon sensors. Construct with a CarbonConfig and call start() before polling for frames.

config = CarbonConfig()
config.set_bind_addr("0.0.0.0:5678")
config.set_group_addr("224.0.0.0")
config.set_interface_addr("192.168.1.100")
config.set_range_max(50.0)
config.set_pfa(1e-4)

client = CarbonClient(config)
client.start()

CarbonConfig

Configuration for the Carbon pipeline. Construct with defaults and setters, or load from JSON.

# From defaults
config = CarbonConfig()
config.set_bind_addr("0.0.0.0:5678")

# From a JSON file
config = CarbonConfig.from_json("config.json")

CarbonConfig JSON format

All fields are optional and fall back to their defaults when omitted. To see all available fields and their current defaults, run:

from voyant_api import CarbonConfig
print(CarbonConfig())

This prints the full nested config with all current defaults, for example:

CarbonConfig { receiver: ReceiverConfig { multicast: MulticastReceiverConfig { bind_addr: "0.0.0.0:5678", group_addr: "224.0.0.0", interface_addr: "127.0.0.1" }, batch_size: 32, ... }, dsp: DspConfig { pfa: None, bandwidth_hz: None, elevation_fov_deg: 30.0, ... }, ... }

Any field shown in that output can be set in the JSON file. Fields showing None are unset and use sensor defaults.

VoyantRecorder

Records frames to binary files with automatic splitting options.

recorder = VoyantRecorder(
    output_path="recording.bin",
    timestamp_filename=True,         # Add timestamp to filename
    frames_per_file=None,            # Split after N frames
    duration_per_file=None,          # Split after N seconds
    size_per_file_mb=None,           # Split after N megabytes
    max_total_frames=None,           # Stop after N total frames
    max_total_duration=None,         # Stop after N total seconds
    max_total_size_mb=None,          # Stop after N total megabytes
)

VoyantPlayback

Plays back recorded data with rate control.

playback = VoyantPlayback(
    rate=1.0,              # Playback speed (None = as fast as possible)
    loopback=False,        # Loop continuously
    filter_points=True,    # Remove invalid points
)
playback.open("recording.bin")

Frame data access

# NumPy arrays
xyz   = frame.xyz()            # (N x 3): [x, y, z]
xyzv  = frame.xyzv()           # (N x 4): [x, y, z, radial_vel]
sph   = frame.spherical()      # (N x 3): [range, azimuth, elevation]

# Pandas DataFrames (via voyant_api.pandas_utils)
from voyant_api.pandas_utils import frame_to_dataframe, frame_to_extended_dataframe
df          = frame_to_dataframe(frame)           # 7 columns
df_extended = frame_to_extended_dataframe(frame)  # 11 columns

# PCD PointCloud objects (via voyant_api.pcd_utils)
from voyant_api.pcd_utils import frame_to_pcd, frame_to_extended_pcd, save_frame_to_pcd
pc = frame_to_pcd(frame)           # 7 fields
pc = frame_to_extended_pcd(frame)  # 11 fields
save_frame_to_pcd(frame, "out.pcd")

# Frame metadata
print(frame.frame_index)
print(frame.timestamp)
print(frame.n_points)
print(frame.n_valid_points)

---

Migrating from VoyantClient

VoyantClient is deprecated as of v0.5.0 and will be removed in a future release. Carbon sensor users should migrate to CarbonClient.

VoyantClient remains functional for Meadowlark sensors but will receive no new features or fixes.

The main differences:

	VoyantClient (deprecated)	CarbonClient
Config	Constructor kwargs	CarbonConfig object
Lifecycle	No explicit start	client.start() required
Shutdown	—	client.stop() / client.wait_for_shutdown()
Timestamps	use_msg_stamps	set_use_msg_timestamp() — default True for Carbon

Before:

client = VoyantClient(
    bind_addr="0.0.0.0:4444",
    group_addr="224.0.0.0",
    interface_addr="192.168.1.100",
    filter_points=True,
    use_msg_stamps=True,
)

while True:
    frame = client.try_receive_frame()
    if frame is not None:
        process(frame)

After:

config = CarbonConfig()
config.set_bind_addr("0.0.0.0:5678")
config.set_group_addr("224.0.0.0")
config.set_interface_addr("192.168.1.100")

client = CarbonClient(config)
client.start()

# Press Ctrl+C to stop
while client.is_running():
    frame = client.try_receive_frame()
    if frame is not None:
        process(frame)
    else:
        time.sleep(0.001)

client.stop()

---

Features

• High performance: Rust-based implementation with zero-copy data access
• NumPy integration: Direct conversion to NumPy arrays via frame.xyzv()
• Pandas support: DataFrame conversion via voyant_api.pandas_utils
• PCD support: Point Cloud Data export via voyant_api.pcd_utils
• Type hints: Full type annotations for IDE support (.pyi stubs included)
• Recording & playback: Save and replay sensor data with timestamp preservation
• Network streaming: Multicast UDP support for live sensor data

Complete examples

Full example scripts are available in the voyant-sdk repository:

• client_example.py — Live data streaming with CarbonClient
• recorder_example.py — Recording with all options
• playback_example.py — Playback and processing
• pcd_conversion_example.py — Converting recordings to PCD files

System requirements

• Python: 3.9 or later
• Dependencies: NumPy 2.0+, Pandas 2.0+, pypcd4 1.4+
• Platforms: Linux, Windows, macOS
• Hardware: Carbon sensors require v0.5.0+. Meadowlark sensors use the deprecated VoyantClient.

Documentation

• Full documentation: https://voyant-photonics.github.io/
• Examples repository: https://github.com/Voyant-Photonics/voyant-sdk

Support

• Issues: https://github.com/Voyant-Photonics/voyant-sdk/issues
• Email: [e-mail]

License

Proprietary — for use with Voyant Photonics hardware products only.

Copyright © 2025 Voyant Photonics, Inc. All rights reserved.