# Luxonis Documentation

Luxonis builds spatial AI and robotic vision hardware, software, and cloud tools. OAK is the Luxonis camera and compute platform for depth perception, computer vision, and on-device AI.

For building apps with a connected device, start with [oakctl](https://docs.luxonis.com/software-v3/oak-apps/oakctl.md).

If you are an AI coding agent, install the [Luxonis Agent Skills](https://docs.luxonis.com/software-v3/agent-tools/agent-skills.md) to set up an OAK camera, scope a project, and build a working app: `npx skills@latest add luxonis/skills`. The skills work in Claude Code, Cursor, Codex, and other agent harnesses. See [Agent Tools](https://docs.luxonis.com/software-v3/agent-tools.md) for chat.luxonis.com and other agent tooling.

## Overview
- [Overview](https://docs.luxonis.com/overview.md): A quick tour of Luxonis capabilities: AI on-device, depth, tracking, spatial perception, and remote management.
- [Depth](https://docs.luxonis.com/overview/toplevel-features/depth.md): Use on-device depth for metric 3D awareness in mapping, measurement, navigation, and Spatial AI.
- [Object Tracking](https://docs.luxonis.com/overview/toplevel-features/object_tracking.md): Assign stable IDs to detected objects over time using on-device OAK tracking.
- [Spatial Perception](https://docs.luxonis.com/overview/toplevel-features/spatial_perception.md): Combine depth, motion tracking, and on-device AI to locate objects in real-world space.
- [Feature Tracking](https://docs.luxonis.com/overview/toplevel-features/feature_tracking.md): Track stable visual features on-device for low-latency mapping, odometry, and AR anchoring.
- [VIO and SLAM](https://docs.luxonis.com/overview/toplevel-features/vio_and_slam.md): Estimate camera trajectory and build maps with synchronized stereo, IMU, and sensor data.
- [AI Capabilities](https://docs.luxonis.com/overview/toplevel-features/ai_capabilities.md): Understand on-device neural network capabilities for classification, detection, segmentation, and custom vision.
- [Remote Management](https://docs.luxonis.com/overview/toplevel-features/remote_management.md): Deploy, monitor, and update OAK device fleets remotely with Luxonis Hub.
- [Solder Defect Detection](https://docs.luxonis.com/overview/industry-examples/electronics/solder_defect_detection.md): Example use case for detecting soldering defects with an OAK4-CS mounted on a microscope.
- [Running ROS2 Onboard OAK4-D](https://docs.luxonis.com/overview/industry-examples/robotics/ros2_onboard_oak4.md): Deploy a ROS 2 person-following application directly onboard an OAK4-D.
- [Visual SLAM Using Wheel Odometry](https://docs.luxonis.com/overview/industry-examples/robotics/wheel_odometry_vslam.md): Combine wheel odometry with visual SLAM for more robust mobile robot localization.
- [Luxonis Cameras in NVIDIA Isaac Sim](https://docs.luxonis.com/overview/industry-examples/robotics/nvidia_isaac_sim.md): Use Luxonis camera models in NVIDIA Isaac Sim for robotics perception simulation.
- [Forklift Drive Assist](https://docs.luxonis.com/overview/industry-examples/smart-cities-and-transportation/forklift_drive_assist.md): Use OAK4-D rear perception to help detect people around industrial vehicles.
- [Off-Grid OAK4-D Deployment](https://docs.luxonis.com/overview/industry-examples/smart-cities-and-transportation/oak4-offgrid.md): Build an off-grid OAK4-D deployment for edge vision workloads in remote locations.

## Hardware
- [Hardware](https://docs.luxonis.com/hardware.md): Explore Luxonis hardware documentation for detailed guides on camera sensors, deployment, environmental testing, and device specifications.
- [Robotics Vision Core 2](https://docs.luxonis.com/hardware/platform/rvc/rvc2.md): Discover Robotics Vision Core 2 (RVC2) by Luxonis - advanced depthAI features, 4 TOPS processing power, custom AI model support, efficient heat dissipation, and more.
- [Robotics Vision Core 4](https://docs.luxonis.com/hardware/platform/rvc/rvc4.md): RVC4 - 6-core ARM CPU, up to 3x8K@30, powerful AI engine, OAK4 models
- [Depth Perception](https://docs.luxonis.com/hardware/platform/features/depth.md): Luxonis' Depth Perception tech includes Passive Stereo, Active Stereo, and Time-of-Flight methods, enhancing depth accuracy for diverse applications.
- [IR Perception](https://docs.luxonis.com/hardware/platform/features/ir-perception.md): Luxonis' IR Perception integrates 940nm notch IR filters, enabling detection of both visible and IR light, enhancing low light performance and depth accuracy.
- [Dot projector](https://docs.luxonis.com/hardware/platform/features/ir-perception/dot-projector.md): Learn how the laser dot projector improves depth perception on low-texture surfaces.
- [Flood IR](https://docs.luxonis.com/hardware/platform/features/ir-perception/flood-ir.md): Learn how Flood IR illumination enables mono camera perception in low-light scenes.
- [Laser Safety](https://docs.luxonis.com/hardware/platform/features/ir-perception/laser-safety.md): Review laser safety classification and handling guidance for Luxonis devices with IR projectors.
- [Depth accuracy](https://docs.luxonis.com/hardware/platform/depth/depth-accuracy.md): Depth accuracy is enhanced by factors like camera calibration, FOV, resolution, and baseline distance, ensuring precise depth measurement across various setups with min. absolute error from 1.5%
- [Configuring Stereo Depth](https://docs.luxonis.com/hardware/platform/depth/configuring-stereo-depth.md): Stereo depth configuration guide covers stereo depth basics, fixing noisy depth, improving accuracy, and optimizing short and long-range depth sensing for precise measurements.
- [ToF Depth Perception](https://docs.luxonis.com/hardware/platform/depth/ToF-depth.md): Time-of-flight (ToF) technology uses modulated infrared light (940nm) to measure distance. Light bounces off objects, returns to the sensor, and the travel time calculates depth.
- [Manual Calibration](https://docs.luxonis.com/hardware/platform/depth/manual-calibration.md): Full calibration guide to achieve an accurate depth and ToF sensor alignment. Learn camera calibration procedures, including using Charuco boards, running calibration scripts, and troubleshooting to enhance 3D mapping and depth accuracy.
- [Dynamic Calibration](https://docs.luxonis.com/hardware/platform/depth/dynamic-calibration.md): Full guide to Luxonis Dynamic Calibration - diagnose calibration health, regenerate extrinsics on-device, and keep depth accuracy stable without special targets.
- [OAK4 Getting Started](https://docs.luxonis.com/hardware/platform/deploy/oak4-deployment-guide/oak4-getting-started.md): Power, open, connect, and troubleshoot an OAK4 camera for first setup.
- [OAK4 Offline and Production Setup](https://docs.luxonis.com/hardware/platform/deploy/oak4-deployment-guide/oak4-offline.md)
- [OAK4 Advanced](https://docs.luxonis.com/hardware/platform/deploy/oak4-deployment-guide/oak4-advanced.md): Configure advanced OAK4 power, networking, and connection options.
- [OAK PoE Deployment Guide](https://docs.luxonis.com/hardware/platform/deploy/poe-deployment-guide.md): Deployment guide for OAK PoE devices, where ethernet is used for both power and connectivity, covering initial setup, debugging, and video streaming for OAK devices.
- [OAK USB Deployment Guide](https://docs.luxonis.com/hardware/platform/deploy/usb-deployment-guide.md): Deployment guide for USB devices explains how to install DepthAI and its dependencies, and how to debug when troubles occur.
- [OAK4 SoM Development Guide](https://docs.luxonis.com/hardware/platform/deploy/oak4-som-development-guide.md): Configure OAK4 SoM peripherals such as I2C, SPI, and UART pins.
- [OAK4 M8 Interface Guide](https://docs.luxonis.com/hardware/platform/deploy/oak4-m8-interface.md): External interfaces available on the OAK4 M8 connector.
- [OAK4 WiFi](https://docs.luxonis.com/hardware/platform/deploy/oak4-wifi.md): How to connect OAK4 to WiFi using our M8 WiFi Adapter or a supported USB-C WiFi dongle.
- [Getting started with FFC](https://docs.luxonis.com/hardware/platform/deploy/ffc.md): Set up OAK FFC baseboards and camera modules for flexible prototyping.
- [Deploy with Raspberry Pi](https://docs.luxonis.com/hardware/platform/deploy/to-rpi.md): Deploy on Raspberry Pi with this complete guide, including steps for installation, flashing OS images, powering OAK devices from Pi, and troubleshooting connectivity issues.
- [Deploy with NVIDIA's Jetson](https://docs.luxonis.com/hardware/platform/deploy/to-jetson.md): Deploy DepthAI on NVIDIA Jetson with this guide, covering installation, setting up Jetson OS, connecting OAK devices, how to interact with Jetson.
- [Deploy with RockPi](https://docs.luxonis.com/hardware/platform/deploy/to-rockpi.md): Deploy DepthAI on RockPi with this guide, covering installation, setting up different versions of RockPi, connecting RockPi remotely, and troubleshooting connectivity and performance issues.
- [OAK2 SoM Development Guide](https://docs.luxonis.com/hardware/platform/deploy/oak2-som-development-guide.md): Integrate the OAK2 SoM into custom products with hardware design guidance.
- [Synchronization](https://docs.luxonis.com/hardware/platform/deploy/data-sync.md): Choose between time-based, PTP, and FSYNC synchronization across RVC2 and RVC4 Luxonis platforms.
- [Time Based Synchronization](https://docs.luxonis.com/hardware/platform/deploy/data-sync/time-based-sync.md): Use timestamps to group camera frames, sensor data, derived messages, and mixed-rate streams on Luxonis devices.
- [PTP synchronization](https://docs.luxonis.com/hardware/platform/deploy/data-sync/ptp-sync.md): Use PTP to distribute a shared clock across supported Ethernet-connected RVC4 devices.
- [Hardware synchronization (FSYNC)](https://docs.luxonis.com/hardware/platform/deploy/data-sync/hardware-sync.md): Use FSYNC wiring to align capture timing across supported Luxonis sensors and devices.
- [Connectors M8, M12](https://docs.luxonis.com/hardware/platform/deploy/m8_m12_connectors.md): Description of the pin layout on the M8 and M12 connectors.
- [Supported Sensors](https://docs.luxonis.com/hardware/platform/sensors/sensors.md): List of supported sensors
- [IMU](https://docs.luxonis.com/hardware/platform/sensors/imu.md): Overview of Luxonis IMU hardware: sensor families, output types, reference frames, and factory calibration.
- [BNO08X](https://docs.luxonis.com/hardware/platform/sensors/imu/bno08x.md): Hardware reference for the BNO08X IMU family used in Luxonis devices.
- [BMI270](https://docs.luxonis.com/hardware/platform/sensors/imu/bmi270.md): Hardware reference for the BMI270 IMU used in Luxonis devices.
- [LSM6DSV](https://docs.luxonis.com/hardware/platform/sensors/imu/lsm6dsv.md): Hardware reference for the LSM6DSV IMU used in Luxonis devices.
- [AK09919](https://docs.luxonis.com/hardware/platform/sensors/imu/ak09919.md): Hardware reference for the AK09919 magnetometer used in Luxonis devices.
- [CCMs](https://docs.luxonis.com/hardware/platform/sensors/ccms.md): CMMs guide covers various camera modules compatible with their devices. Learn about sensor types, resolution, field of view, and how to replace and configure CCMs for optimal performance.
- [Shutter Type](https://docs.luxonis.com/hardware/platform/sensors/shutter-type.md): OAK cameras support both rolling shutter and global shutter camera sensors. Explore its usage and limitations.
- [Image Quality](https://docs.luxonis.com/hardware/platform/sensors/image-quality.md): image quality guide details improving IQ for OAK cameras, covering ISP configuration, low-light sensitivity, camera tuning, and motion blur reduction techniques.
- [Auto/Fixed Focus](https://docs.luxonis.com/hardware/platform/sensors/focus-type.md): Compare fixed-focus and auto-focus camera module behavior and tradeoffs.
- [Vibration Tolerance](https://docs.luxonis.com/hardware/platform/environmental-specifications/vibration-tolerance.md): Environmental vibration and mechanical shock qualification for OAK cameras, including applicable ISO and IEC testing standards.
- [IP rating](https://docs.luxonis.com/hardware/platform/environmental-specifications/ip-rating.md): An explanation of the dustproof and waterproof of our devices and how it is tested.
- [Operating temperature](https://docs.luxonis.com/hardware/platform/environmental-specifications/operating-temperature.md): This article specifies the temperature ranges for the devices, ensuring reliable performance in diverse environments. Check the guide for exact ranges and testing standards.
- [Power Consumption](https://docs.luxonis.com/hardware/platform/environmental-specifications/power-consumption.md): This article describes the breakdown of power consumption for the components of the camera.
- [OAK vs RealSense™](https://docs.luxonis.com/hardware/platform/comparison/vs-realsense.md): See the comparison between OAK cameras and Intel's RealSense™. Evaluate depth accuracy, on-device features, and embedded applications.
- [OAK vs StereoLabs™](https://docs.luxonis.com/hardware/platform/comparison/vs-stereolabs.md): See the comparison between OAK and StereoLabs ZED cameras. Evaluate depth accuracy, on-device features, and host requirements.
- [Status Light](https://docs.luxonis.com/hardware/platform/status-light.md): Reference for the OAK4 status LED patterns, plus examples for overriding the user RGB output.

### Hardware Products
- [FSYNC Y-Adapter](https://docs.luxonis.com/hardware/products/FSYNC%20Y-Adapter.md): The FSync Y-adapter is meant to be used with Luxonis' OAK PoE cameras that have M8 connector. Works out-of-the-box with OAK-D-SR-PoE.
- [OAK 4 CS](https://docs.luxonis.com/hardware/products/OAK%204%20CS.md): **OAK 4 CS** delivers standalone edge inference with the flexibility of interchangeable optics through its CS-mount single-lens design. Choose between a high-resolution rolling-shutter sensor or a global-shutter variant for fast-moving subjects—all in a compact, industrial-grade device built for precision and versatility.
- [OAK 4 D](https://docs.luxonis.com/hardware/products/OAK%204%20D.md): **OAK 4 D** is the most advanced stereo vision and edge inference camera we have produced. A true standalone device running Luxonis OS, the OAK 4 D combines an elegant design, industrial grade materials, and industry leading compute in a single unit.
- [OAK 4 D Pro](https://docs.luxonis.com/hardware/products/OAK%204%20D%20Pro.md): **OAK 4 D PRO** is the most advanced stereo vision and edge inference camera we have produced. A true standalone device running Luxonis OS, the OAK 4 D Pro combines an elegant design, industrial grade materials, and industry leading compute in a single unit.
- [OAK 4 S](https://docs.luxonis.com/hardware/products/OAK%204%20S.md): **OAK 4 S** is our single lens solution for high-speed edge inference in a tiny package. A true standalone device running Luxonis OS, the OAK 4 S combines an elegant design, industrial grade materials, and industry leading compute in a single, compact unit.
- [OAK 4 SoM](https://docs.luxonis.com/hardware/products/OAK%204%20SoM.md): The **OAK 4 SoM** features the [Robotics Vision Core 4](https://docs.luxonis.com/hardware/platform/rvc/rvc4/) and an **6-core ARM CPU**. It is ideal for use in industrial automation, robotics, and security systems.
- [OAK Thermal](https://docs.luxonis.com/hardware/products/OAK%20Thermal.md): The OAK-T (OAK Thermal) is our first camera with a thermal sensor and a color image sensor.
- [OAK-1](https://docs.luxonis.com/hardware/products/OAK-1.md): For all scenarios where depth perception is not requisite, OAK-1 offers processing power of RVC2 core in a smallest possible body.
- [OAK-1 Lite](https://docs.luxonis.com/hardware/products/OAK-1%20Lite.md): Lightweight version of [OAK-1](https://shop.luxonis.com/products/oak-1) device employing a different, 13Mpix camera module. Available both in fixed-focus and auto-focus versions.
- [OAK-1 Lite W](https://docs.luxonis.com/hardware/products/OAK-1%20Lite%20W.md): Lightweight version of [OAK-1 W](https://shop.luxonis.com/products/oak-1-w) device employing a different, **13 MP wide field of view** camera module.
- [OAK-1 MAX](https://docs.luxonis.com/hardware/products/OAK-1%20MAX.md): **OAK-1 MAX** is an **32MP** AI camera that features on-device Neural Network inferencing and Computer Vision capabilities. It can capture high-resolution images, run custom AI models, and perform advanced computer vision tasks.
- [OAK-1 PoE](https://docs.luxonis.com/hardware/products/OAK-1%20PoE.md): PoE version of [OAK-1](https://shop.luxonis.com/products/oak-1). **IP67** rated enclosure able to withstand a more challenging environment, RJ45 ethernet connector for power and communication, newly with additional fixed-focus camera option and **wide field of view** brother model [OAK-1 Wide PoE](https://shop.luxonis.com/collections/poe/products/oak-1-w-poe).
- [OAK-1 W](https://docs.luxonis.com/hardware/products/OAK-1%20W.md): OAK-1 paired with a **wide field of view** camera module capturing more in one shot, for scenarios where large area coverage comes handy.
- [OAK-1 W PoE](https://docs.luxonis.com/hardware/products/OAK-1%20W%20PoE.md): Recently introduced model combining OAK-1 PoE body (and IP67 rating) with a new range of applications brought about by **wide field of view** camera.
- [OAK-D](https://docs.luxonis.com/hardware/products/OAK-D.md): The original OAK-D. 4 TOPS of processing power, two grayscale sensors for stereo depth, and a single center color sensor. It has been directly superseded by the 2nd generation [OAK-D-S2](https://shop.luxonis.com/products/oak-d-s2) offering more CCM options in a sleeker body, or its [Pro versioin](https://shop.luxonis.com/collections/usb/products/oak-d-pro) with additional features.
- [OAK-D CM4](https://docs.luxonis.com/hardware/products/OAK-D%20CM4.md): The **OAK-D CM4** combines OAK-D with **Raspberry Pi CM4** module acting as host computer. It's designed to provide developers with a platform for creating advanced computer vision applications.
- [OAK-D CM4 PoE](https://docs.luxonis.com/hardware/products/OAK-D%20CM4%20PoE.md): The **OAK-D CM4 PoE** combines OAK-D with **Raspberry Pi CM4** module acting as host computer. It's designed to provide developers with a platform for creating advanced computer vision applications.
- [OAK-D Lite](https://docs.luxonis.com/hardware/products/OAK-D%20Lite.md): Combines high performance and economy, providing all the superpowers offered by RVC2 core and DepthAI API in an affordable package. Won AI and Vision Alliance's [Best camera award](https://www.edge-ai-vision.com/2022/05/2022-edge-ai-and-vision-product-of-the-year-award-winner-showcase-luxonis-cameras-and-sensors/) in 2022.
- [OAK-D LR](https://docs.luxonis.com/hardware/products/OAK-D%20LR.md): With its 15cm baseline **OAK-D LR** is capable of precise depth readings up to ~30 m. And of course it offers all the features of OAK-D line, RVC2 core and the ability to run any AI model. This camera is ideal for outdoor use, thanks to its **IP65 certification** for water and dust resistance.
- [OAK-D PoE](https://docs.luxonis.com/hardware/products/OAK-D%20PoE.md): The original **OAK-D PoE** offers an **IP67** rated enclosure for harsher environments and RJ45 Ethernet connector. See Series 2 PoE models for more CCM options including wide field of view, industrial M12X connector, night vision or improved depth perception.
- [OAK-D Pro](https://docs.luxonis.com/hardware/products/OAK-D%20Pro.md): Series 2 camera equipped with **IR illumination** for **low-light** conditions and **active stereo** improving depth perception.
- [OAK-D Pro PoE](https://docs.luxonis.com/hardware/products/OAK-D%20Pro%20PoE.md): Series 2 PoE camera featuring RVC2 core, **IR illumination** and **active stereo** improving depth perception, in **IP65** enclosure with industrial connectors.
- [OAK-D Pro W](https://docs.luxonis.com/hardware/products/OAK-D%20Pro%20W.md): Series 2 camera combining **IR illumination** and **active stereo** features with **wide field of view** camera modules. Well suited for all the scenarios that require coverage of larger areas.
- [OAK-D Pro W PoE](https://docs.luxonis.com/hardware/products/OAK-D%20Pro%20W%20PoE.md): **Wide field of view** alternative to standard Series 2 PoE model offering **IR illumination** and **active stereo** features in IP65 rated enclosure with industrial type connectors. Able to cover larger areas and/or more effective in multi camera setups.
- [OAK-D S2](https://docs.luxonis.com/hardware/products/OAK-D%20S2.md): Ultimate camera for robotic vision that perceives the world like a human by combining stereo depth camera and high-resolution color camera with an on-device Neural Network inferencing and Computer Vision capabilities.
- [OAK-D S2 PoE](https://docs.luxonis.com/hardware/products/OAK-D%20S2%20PoE.md): Series 2 of our PoE line combines a more rugged body rated **IP65**, industrial M12 Ethernet connector, new CCM options and much more.
- [OAK-D SR](https://docs.luxonis.com/hardware/products/OAK-D%20SR.md): The **OAK-D-SR** is designed to prioritize improved **short-range** accuracy compared to the standard [OAK-D](https://shop.luxonis.com/products/oak-d), with the ideal depth measurement range being 30cm to 1m. It's perfect for applications that require close-in depth and detail, such as quality control or automated manufacturing.
- [OAK-D ToF](https://docs.luxonis.com/hardware/products/OAK-D%20ToF.md): **OAK Time of Flight** is a camera that emphasizes improved short-range accuracy when compared to the standard OAK-D and further expands our catalog of robotic vision solutions. It employs **Time of Flight (ToF)** VGA sensor, which enables accurate measurement of the depth of objects in a scene, resulting in more precise focusing and improved low-light performance.
- [OAK-D W](https://docs.luxonis.com/hardware/products/OAK-D%20W.md): Series 2 device incorporating wide field of view camera modules. Well suited for all the scenarios that require coverage of larger areas.
- [OAK-D W PoE](https://docs.luxonis.com/hardware/products/OAK-D%20W%20PoE.md): Wide field of view alternative to standard Series 2 PoE model offering IP65 rated enclosure with industrial type connectors. Able to cover larger areas and/or more effective in multi camera setups.
- [OAK-FFC 1P PoE](https://docs.luxonis.com/hardware/products/OAK-FFC%201P%20PoE.md): **OAK-FFC 1P PoE** is a flexible and powerful prototyping platform that allows you to connect any [FFC camera module](https://shop.luxonis.com/collections/oak-modules-1?tags=type-camera+module) that best fit your project requirement in terms of resolution, FPS, FOV, shutter type, and depth of focus. It also features on-device [Neural Network inferencing](https://docs.luxonis.com/software/perception/neural-networks) and [Computer Vision](https://docs.luxonis.com/software/perception/computer-vision) capabilities.
- [OAK-FFC 3P](https://docs.luxonis.com/hardware/products/OAK-FFC%203P.md): **OAK-FFC 3P** is a flexible and powerful prototyping platform that allows you to connect up to 3 [FFC camera modules](https://shop.luxonis.com/collections/oak-modules-1?tags=type-camera+module) that best fit your project requirement in terms of resolution, FPS, FOV, shutter type, and depth of focus. It also features on-device [Neural Network inferencing](https://docs.luxonis.com/software/perception/neural-networks) and [Computer Vision](https://docs.luxonis.com/software/perception/computer-vision) capabilities.
- [OAK-FFC 4P](https://docs.luxonis.com/hardware/products/OAK-FFC%204P.md): **OAK-FFC 4P** is a flexible and powerful prototyping platform that allows you to connect up to 4 [FFC camera modules](https://shop.luxonis.com/collections/oak-modules-1?tags=type-camera+module) that best fit your project requirement in terms of resolution, FPS, FOV, shutter type, and depth of focus. It also features on-device [Neural Network inferencing](https://docs.luxonis.com/software/perception/neural-networks) and [Computer Vision](https://docs.luxonis.com/software/perception/computer-vision) capabilities.
- [OAK-FFC 4P PoE](https://docs.luxonis.com/hardware/products/OAK-FFC%204P%20PoE.md): **OAK-FFC 4P PoE** is a flexible and powerful prototyping platform that allows you to connect up to 4 FFC camera modules that best fit your project requirement in terms of resolution, FPS, FOV, shutter type, and depth of focus. It also features on-device [Neural Network inferencing](https://docs.luxonis.com/software/perception/neural-networks) and [Computer Vision](https://docs.luxonis.com/software/perception/computer-vision) capabilities.
- [OAK-FFC AR0234 M12](https://docs.luxonis.com/hardware/products/OAK-FFC%20AR0234%20M12.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC IMX462](https://docs.luxonis.com/hardware/products/OAK-FFC%20IMX462.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping. This module uses an **M12 lens mount**. The lens can be replaced with any M12 lens designed for a 1/2.8'' sensor.
- [OAK-FFC IMX577 M12](https://docs.luxonis.com/hardware/products/OAK-FFC%20IMX577%20M12.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC IMX582](https://docs.luxonis.com/hardware/products/OAK-FFC%20IMX582.md): This camera module with **48MP** sensor can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping. Note that on RVC2, only 32MP output is supported.
- [OAK-FFC OV9282 M12 (22 pin)](https://docs.luxonis.com/hardware/products/OAK-FFC%20OV9282%20M12%20(22%20pin).md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC OV9782 M12 (22 pin)](https://docs.luxonis.com/hardware/products/OAK-FFC%20OV9782%20M12%20(22%20pin).md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC ToF 33D](https://docs.luxonis.com/hardware/products/OAK-FFC%20ToF%2033D.md): The **OAK-FFC ToF 33D** is a carrier board for the 33D ToF (Time-of-Flight) sensor. It's ideal for applications that require high accuracy at short to medium range (up to 4m). This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-IMX214-W](https://docs.luxonis.com/hardware/products/OAK-FFC-IMX214-W.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-IMX378](https://docs.luxonis.com/hardware/products/OAK-FFC-IMX378.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-IMX378-FF](https://docs.luxonis.com/hardware/products/OAK-FFC-IMX378-FF.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-IMX378-W](https://docs.luxonis.com/hardware/products/OAK-FFC-IMX378-W.md): This **wide FOV** camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-OV9282](https://docs.luxonis.com/hardware/products/OAK-FFC-OV9282.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-OV9282-2](https://docs.luxonis.com/hardware/products/OAK-FFC-OV9282-2.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-OV9282-W](https://docs.luxonis.com/hardware/products/OAK-FFC-OV9282-W.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-OV9782-FF](https://docs.luxonis.com/hardware/products/OAK-FFC-OV9782-FF.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-FFC-OV9782-W](https://docs.luxonis.com/hardware/products/OAK-FFC-OV9782-W.md): This camera module can be used with any of the [FFC baseboards](https://shop.luxonis.com/collections/oak-modules-1?tags=type-base+module), perfectly suited for quick prototyping.
- [OAK-SoM (sets)](https://docs.luxonis.com/hardware/products/OAK-SoM%20(sets).md): **OAK-SoM** can be used to integrate the power of DepthAI into custom products, leveraging our open-source software and hardware (see our [Github](https://github.com/luxonis)).
- [Y-Adapter](https://docs.luxonis.com/hardware/products/Y-Adapter.md): The OAK Y Adapter is recommended for use with a Luxonis OAK device and allows for simultaneous charging and a USB3 Type C connection. OAK Y Adapter supplies power to OAK cameras through a USB-C connector. Note that in most cases, the host computer can provide enough current (>1A).

## Software
- [Software](https://docs.luxonis.com/software-v3.md): Luxonis SDK docs for the OAK software stack: DepthAI API (Python/C++), oakctl, tools and examples for OAK USB, PoE and OAK4 cameras.
- [Template App](https://docs.luxonis.com/software-v3/template.md): Overview of Luxonis software stack for DepthAI devices, AI inference, and Luxonis HUB.
- [OAK Apps](https://docs.luxonis.com/software-v3/oak-apps.md): OAK Apps are containerized computer vision applications built for OAK devices. Learn how to create, deploy, and manage your applications across devices.
- [oakctl](https://docs.luxonis.com/software-v3/oak-apps/oakctl.md): oakctl is a command-line tool for managing OAK devices. It allows you to interact with the device, deploy applications, and manage the device's configuration.
- [Configuration (oakapp.toml)](https://docs.luxonis.com/software-v3/oak-apps/configuration.md): Learn how to define OAK App metadata and build steps in oakapp.toml.
- [Base Image (oakapp-base)](https://docs.luxonis.com/software-v3/oak-apps/base-image.md): Base Image for OAK4 Apps
- [API Key Good Practices](https://docs.luxonis.com/software-v3/oak-apps/apikey-good-practices.md): How to handle Luxonis Hub API keys safely when working with OAK Apps, DepthAI scripts, and oakctl.
- [Debugging](https://docs.luxonis.com/software-v3/oak-apps/debugging.md): How to debug oakctl applications using VS Code, PyCharm, or a web browser.
- [Self-hosted oak-agent](https://docs.luxonis.com/software-v3/oak-apps/self-hosted-oak-agent.md): Documentation for running oak-agent in self-hosted environments.
- [DepthAI](https://docs.luxonis.com/software-v3/depthai.md): DepthAI SDK (Luxonis SDK) docs and API references for OAK cameras. Learn the DepthAI v3 library, install it, and build pipelines in Python or C++.
- [Device](https://docs.luxonis.com/software-v3/depthai/depthai-components/device.md): The DepthAI Device API manages OAK cameras and RAE robots, handling AI inference, computer vision, and depth processing with the Robotics Vision Core (RVC).
- [Pipeline](https://docs.luxonis.com/software-v3/depthai/depthai-components/pipeline.md): The DepthAI Pipeline API enables creating and managing processing pipelines for OAK devices, linking nodes for AI, vision, and depth tasks. It supports OpenVINO integration and multi-device setups.
- [Coordinate Systems](https://docs.luxonis.com/software-v3/depthai/depthai-components/coordinate-systems.md): Learn the right-handed coordinate systems used by DepthAI devices.
- [Device Nodes](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes.md): Nodes are building blocks of your application. Each node provides specific functionality on the DepthAI, with a set of configurable properties and inputs/outputs.
- [AprilTag](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/april_tag.md): AprilTag node takes ImgFrame as input and outputs detected AprilTag markers (AprilTags message).
- [BenchmarkIn](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/benchmark_in.md): The BenchmarkIn node is designed to receive messages and measure the frames per second (FPS) and latency of an incoming stream.
- [BenchmarkOut](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/benchmark_out.md): The BenchmarkOut node listens for the first incoming message and then repeatedly sends out copies of that message at a specified frame rate (FPS).
- [Camera](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/camera.md): Unified Color / Mono camera node for DepthAI v3 API (RVC2 & RVC4).
- [Depth](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/depth.md): Depth is here to unify and simplify how you get depth from Luxonis depth-enabled devices - across RVC2, RVC4, and every future Luxonis platform.
- [DetectionNetwork](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/detection_network.md): DetectionNetwork runs neural inference and on-device output parsing for detection models.
- [EdgeDetector](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/edge_detector.md): EdgeDetector uses a Sobel filter to create edge-emphasized images.
- [FeatureTracker](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/feature_tracker.md): FeatureTracker node detects key points (features) on a frame and tracks them on the next frame.
- [Gate](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/gate.md): Gate opens and closes a message stream at runtime.
- [ImageFilters](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/image_filters.md): ImageFilters applies an ordered pipeline of post-processing filters to depth-like grayscale images (RAW8/RAW16).
- [ImageAlign](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/image_align.md): ImageAlign aligns depth, thermal, or other sensor frames to a target camera frame.
- [ImageManip](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/image_manip.md): ImageManip node can be used to crop, rotate, flip, resize, scale, convert (type) and transform ImgFrames.
- [IMU](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/imu.md): IMU (inertial measurement unit) node can be used to receive data from the IMU chip on the device.
- [NeuralDepth](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/neural_depth.md): NeuralDepth node computes depth from a stereo camera pair using a neural network instead of traditional stereo matching algorithms.
- [NeuralAssistedStereo](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/neural_assisted_stereo.md): NeuralAssistedStereo is a composite node that combines NeuralDepth and StereoDepth to produce a fused depth output using neural-assisted texture.
- [GPUStereo](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/gpu_stereo.md): GPUStereo computes disparity and depth from a synchronized stereo pair on the RVC4 GPU.
- [NeuralNetwork](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/neural_network.md): This node runs neural inference on input data.
- [ObjectTracker](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/object_tracker.md): ObjectTracker associates detections across frames, assigning stable IDs and reporting per-track status.
- [RGBD](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/rgbd.md): The RGBD node combines synchronized depth and color frames into a single point cloud and RGB-D data stream.
- [Script](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/script.md): Script node allows users to run custom Python scripts on the device.
- [SegmentationParser](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/segmentation_parser.md): SegmentationParser converts raw segmentation model output into a single-channel class mask.
- [SpatialDetectionNetwork](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/spatial_detection_network.md): SpatialDetectionNetwork combines detection parsing with spatial coordinate calculation.
- [SpatialLocationCalculator](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/spatial_location_calculator.md): SpatialLocationCalculator computes ROI spatial coordinates from an input depth map.
- [StereoDepth](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/stereo_depth.md): StereoDepth node calculates disparity and/or depth from a stereo pair of Camera nodes.
- [Sync](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/sync.md): The Sync node is used for synchronizing multiple input streams based on their timestamps.
- [SystemLogger](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/system_logger.md): SystemLogger outputs device usage and temperature information.
- [Thermal](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/thermal.md): The Thermal node allows capturing both raw and colorized thermal frames from supported DepthAI devices equipped with a thermal sensor (OAK Thermal).
- [ToF](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/tof.md): The ToF node converts raw Time-of-Flight sensor data into depth and exposes both base and filtered outputs.
- [VideoEncoder](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/video_encoder.md): VideoEncoder node is used to encode ImgFrame into either H264, H265, or MJPEG streams.
- [Warp](https://docs.luxonis.com/software-v3/depthai/depthai-components/nodes/warp.md): Warp node is used for image warping and dewarping, which can be used to undistort images from wide FOV cameras.
- [Host Nodes](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes.md): Host nodes are custom nodes, introduced in DepthAI V3 that run on the host machine and interact with the DepthAI pipeline.
- [DynamicCalibration](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes/dynamic_calibration.md): Implementation guide to Luxonis Dynamic Calibration - diagnose calibration health, regenerate extrinsics on-device, and keep depth accuracy stable without special targets.
- [AutoCalibration](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes/auto_calibration.md): AutoCalibration Host Node guide - configure automatic calibration behavior and consume calibration results in your pipeline.
- [PointCloud](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes/pointcloud.md): Computes a 3D point cloud from a depth map.
- [RecordVideo](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes/record_video.md): RecordVideo host node is used for recording ImgFrames and EncodedFrames to video and metadata files.
- [ReplayVideo](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes/replay_video.md): ReplayVideo host node is used for replaying recorded video to ImgFrame messages.
- [RecordMetadataOnly](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes/record_metadata_only.md): RecordMetadataOnly host node is used for recording ImgFrame, EncodedFrame, IMUData and PointCloudData messages to mcap files.
- [ReplayMetadataOnly](https://docs.luxonis.com/software-v3/depthai/depthai-components/host_nodes/replay_metadata_only.md): ReplayMetadataOnly host node is used for replaying recorded metadata to Buffer messages.
- [Messages](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages.md): DepthAI Messages enable communication between nodes in a pipeline. Nodes exchange information through these messages, which can be created and sent either on the device or from a host computer.
- [ADatatype](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/a_datatype.md): ADatatype is the abstract base for every DepthAI message type.
- [AprilTagConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/april_tag_config.md): This message is used to configure the AprilTag node.
- [AprilTags](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/april_tags.md): AprilTags carries detected marker data from the AprilTag node.
- [BenchmarkReport](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/benchmark_report.md): This message is generated by the BenchmarkIn node and is used for reporting performance metrics of your DepthAI pipeline in real time.
- [Buffer](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/buffer.md): Buffer is the base message type for DepthAI data payloads.
- [CalibrationQuality](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/calibration_quality.md): CalibrationQuality reports the quality of the current stereo camera calibration.
- [CalibrationMetrics](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/calibration_metrics.md): The CalibrationMetrics message is part of the Dynamic Calibration system.
- [CameraControl](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/camera_control.md): CameraControl manages camera capture, focus, exposure, white balance, and related settings.
- [CoverageData](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/coverage_data.md): The CoverageData message provides real-time feedback on the visual feature coverage across the stereo field of view during the Dynamic Calibration process.
- [DynamicCalibrationControl](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/dynamic_calibration_control.md): The DynamicCalibrationControl message is the control interface used to interact with the Dynamic Calibration node in DepthAI.
- [DynamicCalibrationResult](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/dynamic_calibration_result.md): DynamicCalibrationResult carries the output of a completed dynamic calibration process.
- [EdgeDetectorConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/edge_detector_config.md): This message is used to configure the EdgeDetector node.
- [EncodedFrame](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/encodedframe.md): EncodedFrame carries MJPEG, H264, or H265 frame data from the VideoEncoder node.
- [FeatureTrackerConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/feature_tracker_config.md): This message is used to configure the FeatureTracker node.
- [ImageAlignConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/image_align_config.md): Configure image alignment behavior for DepthAI pipelines.
- [ImageFiltersConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/image_filters_config.md): ImageFiltersConfig defines the filter chain executed by the ImageFilters node.
- [ImageManipConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/image_manip_config.md): ImageManipConfig controls runtime image cropping, warping, rotating, resizing, and format conversion.
- [ImgAnnotations](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/img_annotations.md): ImgAnnotations stores overlays that can be rendered on top of an ImgFrame.
- [ImgDetections](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/img_detections.md): ImgDetections carries label, confidence, and bounding box outputs from DetectionNetwork.
- [ImgFrame](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/img_frame.md): ImgFrame carries image, depth, and disparity frame data in DepthAI pipelines.
- [ImgTransformations](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/img_transformations.md): ImgTransformations metadata describes the virtual camera parameters used to produce transformed images.
- [IMUData](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/imu_data.md): IMUData carries inertial measurements produced by the IMU node.
- [MessageGroup](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/message_group.md): The MessageGroup message type is a versatile container used in DepthAI pipelines to group together a map of arbitrary DepthAI messages.
- [NeuralDepthConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/neural_depth_config.md): This message is used to configure the NeuralDepth node.
- [VppConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/vpp_config.md): VppConfig configures the Virtual Projection Pattern stage in NeuralAssistedStereo pipelines.
- [NNData](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/nn_data.md): NNData carries tensor data produced by neural network nodes.
- [ObjectTrackerConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/object_tracker_config.md): ObjectTrackerConfig stores the parameters that drive the ObjectTracker node.
- [PointCloudConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/pointcloud_config.md): PointCloudConfig carries runtime configuration for the PointCloud node.
- [PointCloudData](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/pointcloud_data.md): PointCloudData encapsulates 3D spatial information, representing a collection of points in a 3D space.
- [RGBDData](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/rgbd_data.md): RGBDData bundles an aligned color frame and depth frame into a single payload.
- [SegmentationMask](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/segmentation_mask.md): SegmentationMask carries per-pixel class labels produced by the SegmentationParser node.
- [SpatialImgDetections](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/spatial_img_detections.md): SpatialImgDetections extends ImgDetections with XYZ coordinates for detected objects.
- [SpatialLocationCalculatorConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/spatial_location_calculator_config.md): This message is used to configure the SpatialLocationCalculator node.
- [SpatialLocationCalculatorData](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/spatial_location_calculator_data.md): SpatialLocationCalculatorData carries spatial coordinates computed for configured depth ROIs.
- [StereoDepthConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/stereo_depth_config.md): StereoDepthConfig configures filters, thresholds, and modes for the StereoDepth node.
- [SystemInformation](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/system_information.md): SystemInformation carries device usage and temperature telemetry from the SystemLogger node.
- [SystemInformationRVC4](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/system_information_rvc4.md): SystemInformationRVC4 extends SystemInformation with telemetry that is specific to OAK devices based on the RVC4 platform.
- [ThermalConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/thermal_config.md): The ThermalConfig message is used to configure the Thermal node.
- [ToFConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/tof_config.md): ToFConfig configures the ToF node.
- [ToFDepthConfidenceFilterConfig](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/tof_depth_confidence_filter_config.md): ToFDepthConfidenceFilterConfig configures the confidence-driven post-processing stage used in DepthAI Time-of-Flight pipelines.
- [TrackedFeatures](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/tracked_features.md): TrackedFeatures carries feature positions and IDs from feature tracking pipelines.
- [Tracklets](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/tracklets.md): Tracklets carry tracked object metadata produced by the ObjectTracker node.
- [TransformData](https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/transform_data.md): TransformData carries one or more rigid transforms expressed as 4x4 homogeneous matrices.
- [Bootloader - RVC2](https://docs.luxonis.com/software-v3/depthai/depthai-components/bootloader.md): The DepthAI Bootloader initializes OAK cameras, handling boot processes, configurations, and updates via the depthai library.
- [DepthAI Examples](https://docs.luxonis.com/software-v3/depthai/examples.md): DepthAI's extensive code examples demonstrates AI, vision, and depth capabilities on OAK devices. These examples cover various applications and configurations, serving as practical guides for developers.
- [AprilTags from camera](https://docs.luxonis.com/software-v3/depthai/examples/april_tags/april_tags.md): This example uses the AprilTag node to detect markers in a 1080p camera stream.
- [AprilTags from camera (12MP)](https://docs.luxonis.com/software-v3/depthai/examples/april_tags/april_tags_12mp.md): This example uses the AprilTag node to detect markers in a 12MP camera stream.
- [AprilTags on image replay](https://docs.luxonis.com/software-v3/depthai/examples/april_tags/april_tags_replay.md): This example uses the AprilTag node to detect markers in a host-provided image.
- [Benchmark Simple](https://docs.luxonis.com/software-v3/depthai/examples/benchmark/benchmark_simple.md): This simple example measures pipeline latency by connecting a BenchmarkOut node to a BenchmarkIn node.
- [Benchmark Camera](https://docs.luxonis.com/software-v3/depthai/examples/benchmark/benchmark_camera.md): This example showcases how the BenchmarkIn node works.
- [Benchmark NN](https://docs.luxonis.com/software-v3/depthai/examples/benchmark/benchmark_nn.md): This example showcases how to use both the BenchmarkOut node and the BenchmarkIn node to measure the performance of a NN model.
- [Display all cameras](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_all.md): Display all camera streams on the host using OpenCV.
- [Camera isp output](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_isp.md): This example shows how to use the isp output from the Camera node.
- [Camera output](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_output.md): DepthAI example demonstrating direct output requests from the Camera node.
- [Camera multiple outputs](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_multiple_outputs.md): DepthAI example demonstrating multiple outputs from the Camera node.
- [Camera raw output](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_raw.md): This example shows how to use the raw output from the Camera node.
- [Camera ROI-based exposure and focus](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_roi_exposure_focus.md): DepthAI example demonstrating ROI-based camera exposure and focus control.
- [Camera still image at max resolution](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_still_max_res.md): This example shows how to capture a max resolution still image while streaming lower resolution frames to the host.
- [Camera Undistort](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_undistort.md): This example shows how to undistort a wide FOV camera stream using the Camera node.
- [Camera video max resolution](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_max_resolution.md): Display the camera stream at the highest available resolution on the host using OpenCV.
- [Camera high frame rate (HFR)](https://docs.luxonis.com/software-v3/depthai/examples/camera/camera_hfr.md): High Frame Rate (HFR) mode in DepthAI 3.4.0 unlocks ultra-fast perception on OAK4 devices with the RVC4 platform and IMX586 sensor.
- [Calibration Dump](https://docs.luxonis.com/software-v3/depthai/examples/calibration/calibration_dump.md): This example shows how to read and display calibration data stored on the device.
- [Calibration Load](https://docs.luxonis.com/software-v3/depthai/examples/calibration/calibration_load.md): This example shows how to load and use calibration data from a JSON file in a pipeline to generate depth frames.
- [Calibration Flash](https://docs.luxonis.com/software-v3/depthai/examples/calibration/calibration_flash.md): This example shows how to flash calibration data from a JSON file to the device's EEPROM.
- [Calibration Factory Reset](https://docs.luxonis.com/software-v3/depthai/examples/calibration/calibration_factory_reset.md): This example shows how to perform a factory reset on the device's calibration data.
- [Depth](https://docs.luxonis.com/software-v3/depthai/examples/depth/unified_depth.md): This example demonstrates the Depth node.
- [Detection Network](https://docs.luxonis.com/software-v3/depthai/examples/detection_network/detection_network.md): This example shows how to run YOLOv6 on-camera on the RGB stream.
- [Detection Network Remap](https://docs.luxonis.com/software-v3/depthai/examples/detection_network/detection_network_remap.md): DepthAI example demonstrating remapped YOLOv6 detection results on depth output.
- [Detection Network Replay](https://docs.luxonis.com/software-v3/depthai/examples/detection_network/detection_network_replay.md): DepthAI example demonstrating YOLOv6 detection on replayed video.
- [Events](https://docs.luxonis.com/software-v3/depthai/examples/events/events.md): DepthAI example demonstrating Events.
- [Feature Tracker](https://docs.luxonis.com/software-v3/depthai/examples/feature_tracker/feature_tracker.md): This example demonstrates feature detection and tracking with the FeatureTracker node.
- [Gate](https://docs.luxonis.com/software-v3/depthai/examples/gate/gate.md): This example opens and closes a message stream at runtime with the Gate node.
- [Host Display](https://docs.luxonis.com/software-v3/depthai/examples/host_nodes/display.md): This example demonstrates how to use a HostDisplay node within a DepthAI pipeline to display frames obtained from the device using OpenCV.
- [Host Camera](https://docs.luxonis.com/software-v3/depthai/examples/host_nodes/host_camera.md): This example demonstrates how to use a host machine's camera (such as a laptop webcam) within a DepthAI pipeline using the HostCamera node.
- [Threaded Host Nodes](https://docs.luxonis.com/software-v3/depthai/examples/host_nodes/threaded_host_nodes.md): This guide covers the implementation of a custom DepthAI pipeline using three custom nodes: TestSource, TestPassthrough, and TestSink.
- [Depth Align](https://docs.luxonis.com/software-v3/depthai/examples/image_align/depth_align.md): This example shows how to align the stereo depth map to the RGB frame to get RGB-D frames.
- [ImageManip all operations](https://docs.luxonis.com/software-v3/depthai/examples/image_manip/image_manip_all_ops.md): DepthAI example demonstrating all available ImageManip operations.
- [ImageManip multiple operations](https://docs.luxonis.com/software-v3/depthai/examples/image_manip/image_manip_multi_ops.md): DepthAI example demonstrating multiple ImageManip operations in sequence.
- [ImageManip resize](https://docs.luxonis.com/software-v3/depthai/examples/image_manip/image_manip_resize.md): This example showcases how to use ImageManip node to resize the input image.
- [Image Manip remap](https://docs.luxonis.com/software-v3/depthai/examples/image_manip/image_manip_remap.md): DepthAI example demonstrating ImageManip remap.
- [Imu Accelerometer Gyroscope](https://docs.luxonis.com/software-v3/depthai/examples/imu/imu_accelerometer_gyroscope.md): This example shows accelerometer and gyroscope at a combined/synchronized 400 Hz rate using the onboard IMU.
- [Device Information](https://docs.luxonis.com/software-v3/depthai/examples/misc/device_information.md): DepthAI example demonstrating Device Information.
- [Health Check](https://docs.luxonis.com/software-v3/depthai/examples/misc/health_check.md): This example runs the DepthAI device health check and prints the resulting diagnostics.
- [Auto Reconnect](https://docs.luxonis.com/software-v3/depthai/examples/misc/auto_reconnect.md): Demonstrates setting a reconnection callback and limited retry attempts on the device.
- [Digital Zoom](https://docs.luxonis.com/software-v3/depthai/examples/misc/digital_zoom.md): Crops and displays the largest detected person from the full-resolution RGB stream, and updates AE/AF regions to match the crop.
- [IR Projectors Control](https://docs.luxonis.com/software-v3/depthai/examples/misc/projectors.md): Displays left/right mono streams and lets you change IR dot projector and flood light (aka. flood LED) intensities on the device at runtime.
- [XLink Bridge](https://docs.luxonis.com/software-v3/depthai/examples/misc/xlink_bridge.md): DepthAI example demonstrating XLink Bridge.
- [Model Zoo](https://docs.luxonis.com/software-v3/depthai/examples/model_zoo/model_zoo.md): DepthAI example demonstrating model zoo loading and configuration.
- [Neural Depth](https://docs.luxonis.com/software-v3/depthai/examples/neural_depth/neural_depth.md): This example demonstrates the NeuralDepth node with runtime configuration of confidence threshold, edge threshold, and temporal filtering.
- [Neural Depth Minimal](https://docs.luxonis.com/software-v3/depthai/examples/neural_depth/neural_depth_minimal.md): Minimal example showing basic NeuralDepth usage with disparity output visualization.
- [Neural Depth Align](https://docs.luxonis.com/software-v3/depthai/examples/neural_depth/neural_depth_align.md): Demonstrates aligning NeuralDepth output to an RGB camera using the ImageAlign node.
- [Neural Depth RGBD](https://docs.luxonis.com/software-v3/depthai/examples/neural_depth/neural_depth_rgbd.md): Combines NeuralDepth with the RGBD node to generate a point cloud, viewable via remote connection.
- [Neural Network](https://docs.luxonis.com/software-v3/depthai/examples/neural_network/neural_network.md): Utilizes NeuralNetwork node to run a NN model on the device.
- [Neural Network Multi-input](https://docs.luxonis.com/software-v3/depthai/examples/neural_network/neural_network_multi_input.md): This example runs a multi-input neural network that concatenates two images before inference.
- [Neural Network Multi-input Combined](https://docs.luxonis.com/software-v3/depthai/examples/neural_network/neural_network_multi_input_combined.md): This example runs a multi-input neural network that concatenates two images before inference.
- [Object Tracker](https://docs.luxonis.com/software-v3/depthai/examples/object_tracker/object_tracker.md): DepthAI example demonstrating Object Tracker.
- [Object Tracker Replay](https://docs.luxonis.com/software-v3/depthai/examples/object_tracker/object_tracker_replay.md): DepthAI example demonstrating Object Tracker Replay.
- [Object Tracker Remap](https://docs.luxonis.com/software-v3/depthai/examples/object_tracker/object_tracker_remap.md): DepthAI example demonstrating Object Tracker Remap.
- [PointCloud](https://docs.luxonis.com/software-v3/depthai/examples/pointcloud/point_cloud.md): Minimal example that creates a colorized point cloud from stereo depth and an aligned RGB camera using the PointCloud node.
- [PointCloud Visualizer](https://docs.luxonis.com/software-v3/depthai/examples/pointcloud/point_cloud_visualizer.md): Live 3D visualization of a colorized point cloud using Open3D.
- [PointCloud Showcase](https://docs.luxonis.com/software-v3/depthai/examples/pointcloud/point_cloud_showcase.md): DepthAI example demonstrating multiple PointCloud node configurations.
- [Holistic Record](https://docs.luxonis.com/software-v3/depthai/examples/record_replay/holistic_record.md): DepthAI example demonstrating holistic recording of multiple synchronized streams.
- [Holistic replay](https://docs.luxonis.com/software-v3/depthai/examples/record_replay/holistic_replay.md): DepthAI example demonstrating replay of previously recorded holistic data.
- [Video record](https://docs.luxonis.com/software-v3/depthai/examples/record_replay/record_video.md): This example demonstrates how to record a video stream and showcases how to use the RecordVideo node for capturing and saving frames.
- [Video replay](https://docs.luxonis.com/software-v3/depthai/examples/record_replay/replay_video.md): DepthAI example demonstrating ReplayVideo for feeding recorded frames into a pipeline.
- [RGBD Point Cloud Visualization](https://docs.luxonis.com/software-v3/depthai/examples/rgbd/rgbd.md): This example demonstrates how to use the RGBD node to generate RGB-D data and visualize it as a 3D point cloud.
- [RGBD Autocreate](https://docs.luxonis.com/software-v3/depthai/examples/rgbd/rgbd_autocreate.md): This example demonstrates how to use the RGBD node with automatic creation of the required color and depth nodes.
- [Script simple](https://docs.luxonis.com/software-v3/depthai/examples/script/script_simple.md): This example shows how to set up the Script node.
- [Script switch all cameras](https://docs.luxonis.com/software-v3/depthai/examples/script/script_switch_all_cameras.md): Switch between cameras by pressing a key.
- [Spatial Detection Network](https://docs.luxonis.com/software-v3/depthai/examples/spatial_detection_network/spatial_detection.md): DepthAI example demonstrating YOLOv6-Nano spatial object detection.
- [Spatial Location Calculator](https://docs.luxonis.com/software-v3/depthai/examples/spatial_location_calculator/spatial_location_calculator.md): This example shows how to retrieve spatial location data (X,Y,Z) on a runtime configurable ROI.
- [Stereo Depth](https://docs.luxonis.com/software-v3/depthai/examples/stereo_depth/stereo_depth.md): This example runs on-device stereo disparity matching with the StereoDepth node.
- [Neural Assisted Stereo](https://docs.luxonis.com/software-v3/depthai/examples/stereo_depth/neural_assisted_stereo.md): This example demonstrates the NeuralAssistedStereo node, which fuses NeuralDepth with classical StereoDepth.
- [GPUStereo](https://docs.luxonis.com/software-v3/depthai/examples/stereo_depth/gpu_stereo.md): This example demonstrates the GPUStereo node on RVC4.
- [Stereo Depth Remap](https://docs.luxonis.com/software-v3/depthai/examples/stereo_depth/stereo_depth_remap.md): DepthAI example demonstrating synchronized RGB and remapped stereo depth visualization.
- [Stereo Depth From Host](https://docs.luxonis.com/software-v3/depthai/examples/stereo_depth/stereo_depth_from_host.md): This example runs stereo disparity matching on-device using stereo pair images from the host computer.
- [Stereo Depth Calibration Update](https://docs.luxonis.com/software-v3/depthai/examples/stereo_depth/stereo_depth_calibration_update.md): This example showcases how to update the calibration of the stereo cameras on-device using a chessboard pattern.
- [Stereo Depth Filters](https://docs.luxonis.com/software-v3/depthai/examples/stereo_depth/stereo_depth_filters.md): This example showcases how to use various filters available in the StereoDepth node to improve the quality of the depth map.
- [Sync](https://docs.luxonis.com/software-v3/depthai/examples/sync/sync.md): This example shows how to synchronize two video streams, each coming from a different camera.
- [ToF Minimal](https://docs.luxonis.com/software-v3/depthai/examples/tof/tof_minimal.md): This example shows a minimal ToF pipeline and visualizes depth with a colormap.
- [ToF All Queues](https://docs.luxonis.com/software-v3/depthai/examples/tof/tof_all_queues.md): DepthAI example displaying all primary ToF output queues.
- [ToF Align](https://docs.luxonis.com/software-v3/depthai/examples/tof/tof_align.md): DepthAI example demonstrating ToF depth alignment to a mono camera.
- [ToF PointCloud](https://docs.luxonis.com/software-v3/depthai/examples/tof/tof_pointcloud.md): DepthAI example demonstrating ToF PointCloud.
- [Video Encode](https://docs.luxonis.com/software-v3/depthai/examples/video_encoder/video_encode.md): This example showcases how you can use Video Encoder node, which encodes video frames on-device into MJPEG, H264, or H265 video codecs.
- [Visualizer YOLO](https://docs.luxonis.com/software-v3/depthai/examples/visualizer/visualizer_yolo.md): DepthAI example demonstrating remote YOLO visualization with RemoteConnection.
- [Visualizer Encoded](https://docs.luxonis.com/software-v3/depthai/examples/visualizer/visualizer_encoded.md): DepthAI example demonstrating encoded Visualizer streams with detection annotations.
- [Custom Visualizations](https://docs.luxonis.com/software-v3/depthai/examples/visualizer/custom_visualizations.md): DepthAI example demonstrating custom visual annotations in the Visualizer.
- [Custom Services](https://docs.luxonis.com/software-v3/depthai/examples/visualizer/custom_services.md): This example shows how to create a dai.RemoteConnection and register a custom Visualizer service callback.
- [Basalt VIO RTab](https://docs.luxonis.com/software-v3/depthai/examples/vslam/basalt_vio_rtab.md): DepthAI example demonstrating Basalt visual odometry with RTAB-Map SLAM.
- [Basalt VIO](https://docs.luxonis.com/software-v3/depthai/examples/vslam/basalt_vio.md): DepthAI example demonstrating Basalt VIO.
- [Warp Mesh](https://docs.luxonis.com/software-v3/depthai/examples/warp/warp_mesh.md): This example shows usage of Warp node to warp the input image frame.
- [Edge Detector](https://docs.luxonis.com/software-v3/depthai/examples/rvc2/edge_detector/edge_detector.md): This example performs edge detection on 3 different inputs: left, right and RGB camera.
- [NN Archive Superblob](https://docs.luxonis.com/software-v3/depthai/examples/rvc2/nn_archive/nn_archive_superblob.md): DepthAI example demonstrating YOLOv6-Nano superblob loading with NN Archive.
- [System Information](https://docs.luxonis.com/software-v3/depthai/examples/rvc2/system_logger/system_information.md): This example shows how to get system information (memory usage, cpu usage and temperature) from the board.
- [Thermal](https://docs.luxonis.com/software-v3/depthai/examples/rvc2/thermal/thermal.md): DepthAI example demonstrating Thermal.
- [Thermal Crosshair](https://docs.luxonis.com/software-v3/depthai/examples/rvc2/thermal/thermal_crosshair.md): DepthAI example demonstrating thermal crosshair temperature readout.
- [Multi-Device Setup](https://docs.luxonis.com/software-v3/depthai/tutorials/multi-device-setup.md): Learn how to set up multiple DepthAI devices on a single host. This guide covers connecting, configuring, and managing multiple OAK cameras, ensuring efficient operation and data synchronization.
- [Resolution Techniques for NNs](https://docs.luxonis.com/software-v3/depthai/tutorials/resolution-techniques.md): This guide covers handling aspect ratio mismatches, using cropping, stretching, and letterboxing, and displaying detections in high resolution to optimize performance and accuracy.
- [Optimizing FPS & Latency](https://docs.luxonis.com/software-v3/depthai/tutorials/optimizing.md): Optimize FPS and latency on OAK devices with DepthAI. This guide provides tips on adjusting configurations, measuring operation times, and reducing latency in AI pipelines for improved performance.
- [Holistic Record and Replay](https://docs.luxonis.com/software-v3/depthai/tutorials/holistic-record-replay.md): Record and replay data for easier development and testing.
- [DepthAI V3 Porting Guide](https://docs.luxonis.com/software-v3/depthai/tutorials/v2-vs-v3.md): This document describes the changes between the v2 and v3 APIs of DepthAI and how to migrate existing code.
- [Going from RVC2 to RVC4](https://docs.luxonis.com/software-v3/depthai/tutorials/rvc2-to-rvc4.md): Learn how to move an existing DepthAI workflow from an RVC2-based OAK device to an RVC4-based OAK device.
- [Power Profiles](https://docs.luxonis.com/software-v3/depthai/tutorials/powerprofiles.md): Optimize FPS and latency on OAK devices with DepthAI. This guide provides tips on adjusting configurations, measuring operation times, and reducing latency in AI pipelines for improved performance.
- [Snaps](https://docs.luxonis.com/software-v3/depthai/tutorials/snaps.md): Snaps let you send images and data directly to Luxonis Hub, making it easy to build high-quality datasets, organize visual content, and securely store important captures for your computer vision projects.
- [Python API](https://docs.luxonis.com/software-v3/depthai/api/python.md): Luxonis DepthAI Python API allows for easy integration with OAK devices, supporting AI, computer vision, and depth perception tasks.
- [C++ API](https://docs.luxonis.com/software-v3/depthai/api/cpp.md): Luxonis DepthAI C++ API allows for easy integration with OAK devices, supporting AI, computer vision, and depth perception tasks.
- [Java API](https://docs.luxonis.com/software-v3/depthai/api/java.md): Java API is a community contribution.
- [DepthAI ROS](https://docs.luxonis.com/software-v3/depthai/ros.md): DepthAI ROS integrates OAK devices with ROS, enabling RGB-D sensing and on-device AI inference.The API includes filters for data handling and custom converters for tailored applications.
- [Driver](https://docs.luxonis.com/software-v3/depthai/ros/driver.md): The DepthAI ROS Driver allows OAK cameras to operate as ROS2 Components, enabling customization via ROS parameters. It supports launching multiple cameras, configuring sensors and managing neural networks.
- [Driver Parameters](https://docs.luxonis.com/software-v3/depthai/ros/parameters.md): List of parameters.
- [Build from Source](https://docs.luxonis.com/software-v3/depthai/ros/build-from-source.md): Build DepthAI & DepthAI ROS from source for custom AI, vision, and depth applications on OAK devices. This guide covers dependencies, setup procedures and Docker usage.
- [ROS Bridge](https://docs.luxonis.com/software-v3/depthai/ros/ros-bridge.md): DepthAI Bridge allows creating pipelines in a more controlled way using C++ DepthAI API and ROS message converters
- [Hub Integration](https://docs.luxonis.com/software-v3/depthai/ros/hub-integration.md): DepthAI Hub allows easy integration and maintaining of your ROS projects
- [OAK Viewer](https://docs.luxonis.com/software-v3/depthai/tools/oak-viewer.md): OAK Viewer is a GUI tool for real-time visualization and configuration of OAK cameras based on DepthAI v3. It supports USB and PoE cameras, allowing you to run demos, visualize streams, and configure AI models and camera settings.
- [OAK Visualizer](https://docs.luxonis.com/software-v3/depthai/tools/oak-visualizer.md): Visualizer allows you to view multiple camera streams and data outputs from your OAK device directly in a web browser.
- [DepthAI Pipeline Graph](https://docs.luxonis.com/software-v3/depthai/tools/pipeline-graph.md): A tool for dynamically creating graphs of DepthAI pipelines, aiding in debugging and gaining insights into pipeline configurations.
- [Release Notes](https://docs.luxonis.com/software-v3/depthai/release-notes.md): Release notes to latest version of DepthAI.
- [AI](https://docs.luxonis.com/software-v3/ai-inference.md): Everything one needs to know about how AI models are used across the Luxonis AI ecosystem.
- [Model Source](https://docs.luxonis.com/software-v3/ai-inference/model-source.md): Get pre-trained AI models or train your own with Luxonis training tools.
- [Model Zoo](https://docs.luxonis.com/software-v3/ai-inference/model-source/zoo.md): Collection of neural network models prepared for inference on Luxonis devices.
- [Training](https://docs.luxonis.com/software-v3/ai-inference/model-source/training.md): Everything one needs to know about the training process of AI Models in the context of Luxonis ecosystem.
- [DataDreamer](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/datadreamer.md): DataDreamer by Luxonis generates synthetic datasets and pre-annotates real datasets with generative AI and foundation computer vision models.
- [API reference](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/datadreamer/api-reference.md): API reference for DataDreamer.
- [LuxonisML](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml.md): Top-level introduction to LuxonisML
- [LuxonisDataset](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-dataset.md): Learn how to use LuxonisDataset to create and manage datasets in the Luxonis Data Format
- [LuxonisParser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-parser.md): Learn how to use LuxonisParser to easily create a dataset from several common dataset formats
- [LuxonisLoader](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-loader.md): Learn how to work with LuxonisLoader to use datasets in your machine learning pipelines
- [LuxonisML API Reference](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference.md): Generated API reference for luxonis_ml.
- [data](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data.md): Generated API reference for luxonis_ml.data.
- [augmentations](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations.md): Generated API reference for luxonis_ml.data.augmentations.
- [custom](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/custom.md): Generated API reference for luxonis_ml.data.augmentations.custom.
- [cutmix](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/custom/cutmix.md): Generated API reference for luxonis_ml.data.augmentations.custom.cutmix.
- [letterbox_resize](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/custom/letterbox_resize.md): Generated API reference for luxonis_ml.data.augmentations.custom.letterbox_resize.
- [mixup](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/custom/mixup.md): Generated API reference for luxonis_ml.data.augmentations.custom.mixup.
- [mosaic](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/custom/mosaic.md): Generated API reference for luxonis_ml.data.augmentations.custom.mosaic.
- [symmetric_keypoints_flip](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/custom/symmetric_keypoints_flip.md): Generated API reference for luxonis_ml.data.augmentations.custom.symmetric_keypoints_flip.
- [albumentations_engine](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/albumentations_engine.md): Generated API reference for luxonis_ml.data.augmentations.albumentations_engine.
- [base_engine](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/base_engine.md): Generated API reference for luxonis_ml.data.augmentations.base_engine.
- [batch_compose](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/batch_compose.md): Generated API reference for luxonis_ml.data.augmentations.batch_compose.
- [batch_transform](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/batch_transform.md): Generated API reference for luxonis_ml.data.augmentations.batch_transform.
- [utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/augmentations/utils.md): Generated API reference for luxonis_ml.data.augmentations.utils.
- [datasets](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets.md): Generated API reference for luxonis_ml.data.datasets.
- [annotation](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets/annotation.md): Generated API reference for luxonis_ml.data.datasets.annotation.
- [base_dataset](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets/base_dataset.md): Generated API reference for luxonis_ml.data.datasets.base_dataset.
- [luxonis_dataset](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets/luxonis_dataset.md): Generated API reference for luxonis_ml.data.datasets.luxonis_dataset.
- [metadata](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets/metadata.md): Generated API reference for luxonis_ml.data.datasets.metadata.
- [migration](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets/migration.md): Generated API reference for luxonis_ml.data.datasets.migration.
- [source](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets/source.md): Generated API reference for luxonis_ml.data.datasets.source.
- [utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/datasets/utils.md): Generated API reference for luxonis_ml.data.datasets.utils.
- [exporters](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters.md): Generated API reference for luxonis_ml.data.exporters.
- [base_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/base_exporter.md): Generated API reference for luxonis_ml.data.exporters.base_exporter.
- [classification_directory_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/classification_directory_exporter.md): Generated API reference for luxonis_ml.data.exporters.classification_directory_exporter.
- [coco_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/coco_exporter.md): Generated API reference for luxonis_ml.data.exporters.coco_exporter.
- [createml_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/createml_exporter.md): Generated API reference for luxonis_ml.data.exporters.createml_exporter.
- [darknet_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/darknet_exporter.md): Generated API reference for luxonis_ml.data.exporters.darknet_exporter.
- [exporter_utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/exporter_utils.md): Generated API reference for luxonis_ml.data.exporters.exporter_utils.
- [fiftyone_classification_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/fiftyone_classification_exporter.md): Generated API reference for luxonis_ml.data.exporters.fiftyone_classification_exporter.
- [ldf_downgrade](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/ldf_downgrade.md): Generated API reference for luxonis_ml.data.exporters.ldf_downgrade.
- [native_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/native_exporter.md): Generated API reference for luxonis_ml.data.exporters.native_exporter.
- [segmentation_mask_directory_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/segmentation_mask_directory_exporter.md): Generated API reference for luxonis_ml.data.exporters.segmentation_mask_directory_exporter.
- [tensorflow_csv_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/tensorflow_csv_exporter.md): Generated API reference for luxonis_ml.data.exporters.tensorflow_csv_exporter.
- [ultralytics_ndjson_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/ultralytics_ndjson_exporter.md): Generated API reference for luxonis_ml.data.exporters.ultralytics_ndjson_exporter.
- [voc_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/voc_exporter.md): Generated API reference for luxonis_ml.data.exporters.voc_exporter.
- [yolov4_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/yolov4_exporter.md): Generated API reference for luxonis_ml.data.exporters.yolov4_exporter.
- [yolov6_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/yolov6_exporter.md): Generated API reference for luxonis_ml.data.exporters.yolov6_exporter.
- [yolov8_bbox_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/yolov8_bbox_exporter.md): Generated API reference for luxonis_ml.data.exporters.yolov8_bbox_exporter.
- [yolov8_instance_segmentation_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/yolov8_instance_segmentation_exporter.md): Generated API reference for luxonis_ml.data.exporters.yolov8_instance_segmentation_exporter.
- [yolov8_keypoints_exporter](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/exporters/yolov8_keypoints_exporter.md): Generated API reference for luxonis_ml.data.exporters.yolov8_keypoints_exporter.
- [loaders](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/loaders.md): Generated API reference for luxonis_ml.data.loaders.
- [base_loader](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/loaders/base_loader.md): Generated API reference for luxonis_ml.data.loaders.base_loader.
- [luxonis_loader](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/loaders/luxonis_loader.md): Generated API reference for luxonis_ml.data.loaders.luxonis_loader.
- [parsers](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers.md): Generated API reference for luxonis_ml.data.parsers.
- [base_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/base_parser.md): Generated API reference for luxonis_ml.data.parsers.base_parser.
- [classification_directory_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/classification_directory_parser.md): Generated API reference for luxonis_ml.data.parsers.classification_directory_parser.
- [coco_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/coco_parser.md): Generated API reference for luxonis_ml.data.parsers.coco_parser.
- [create_ml_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/create_ml_parser.md): Generated API reference for luxonis_ml.data.parsers.create_ml_parser.
- [darknet_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/darknet_parser.md): Generated API reference for luxonis_ml.data.parsers.darknet_parser.
- [fiftyone_classification_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/fiftyone_classification_parser.md): Generated API reference for luxonis_ml.data.parsers.fiftyone_classification_parser.
- [luxonis_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/luxonis_parser.md): Generated API reference for luxonis_ml.data.parsers.luxonis_parser.
- [native_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/native_parser.md): Generated API reference for luxonis_ml.data.parsers.native_parser.
- [segmentation_mask_directory_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/segmentation_mask_directory_parser.md): Generated API reference for luxonis_ml.data.parsers.segmentation_mask_directory_parser.
- [solo_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/solo_parser.md): Generated API reference for luxonis_ml.data.parsers.solo_parser.
- [tensorflow_csv_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/tensorflow_csv_parser.md): Generated API reference for luxonis_ml.data.parsers.tensorflow_csv_parser.
- [ultralytics_ndjson_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/ultralytics_ndjson_parser.md): Generated API reference for luxonis_ml.data.parsers.ultralytics_ndjson_parser.
- [voc_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/voc_parser.md): Generated API reference for luxonis_ml.data.parsers.voc_parser.
- [yolov4_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/yolov4_parser.md): Generated API reference for luxonis_ml.data.parsers.yolov4_parser.
- [yolov6_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/yolov6_parser.md): Generated API reference for luxonis_ml.data.parsers.yolov6_parser.
- [yolov8_parser](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/parsers/yolov8_parser.md): Generated API reference for luxonis_ml.data.parsers.yolov8_parser.
- [utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils.md): Generated API reference for luxonis_ml.data.utils.
- [cli_utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/cli_utils.md): Generated API reference for luxonis_ml.data.utils.cli_utils.
- [constants](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/constants.md): Generated API reference for luxonis_ml.data.utils.constants.
- [data_utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/data_utils.md): Generated API reference for luxonis_ml.data.utils.data_utils.
- [enums](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/enums.md): Generated API reference for luxonis_ml.data.utils.enums.
- [ldf_equivalence](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/ldf_equivalence.md): Generated API reference for luxonis_ml.data.utils.ldf_equivalence.
- [parquet](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/parquet.md): Generated API reference for luxonis_ml.data.utils.parquet.
- [plot_utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/plot_utils.md): Generated API reference for luxonis_ml.data.utils.plot_utils.
- [remote_file_downloader](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/remote_file_downloader.md): Generated API reference for luxonis_ml.data.utils.remote_file_downloader.
- [task_utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/task_utils.md): Generated API reference for luxonis_ml.data.utils.task_utils.
- [visualizations](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/utils/visualizations.md): Generated API reference for luxonis_ml.data.utils.visualizations.
- [Data CLI](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/data/__main__.md): Generated API reference for luxonis_ml.data.__main__.
- [enums](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/enums.md): Generated API reference for luxonis_ml.enums.
- [enums](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/enums/enums.md): Generated API reference for luxonis_ml.enums.enums.
- [ldf](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/ldf.md): Generated API reference for luxonis_ml.ldf.
- [annotation](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/ldf/annotation.md): Generated API reference for luxonis_ml.ldf.annotation.
- [parquet](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/ldf/parquet.md): Generated API reference for luxonis_ml.ldf.parquet.
- [nn_archive](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive.md): Generated API reference for luxonis_ml.nn_archive.
- [config_building_blocks](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.
- [base_models](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/base_models.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.base_models.
- [head](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/base_models/head.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.base_models.head.
- [head_metadata](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/base_models/head_metadata.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.base_models.head_metadata.
- [input](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/base_models/input.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.base_models.input.
- [metadata](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/base_models/metadata.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.base_models.metadata.
- [output](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/base_models/output.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.base_models.output.
- [enums](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/enums.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.enums.
- [data_type](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/enums/data_type.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.enums.data_type.
- [input_type](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config_building_blocks/enums/input_type.md): Generated API reference for luxonis_ml.nn_archive.config_building_blocks.enums.input_type.
- [NN Archive CLI](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/__main__.md): Generated API reference for luxonis_ml.nn_archive.__main__.
- [archive_generator](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/archive_generator.md): Generated API reference for luxonis_ml.nn_archive.archive_generator.
- [config](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/config.md): Generated API reference for luxonis_ml.nn_archive.config.
- [model](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/model.md): Generated API reference for luxonis_ml.nn_archive.model.
- [utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/nn_archive/utils.md): Generated API reference for luxonis_ml.nn_archive.utils.
- [telemetry](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry.md): Generated API reference for luxonis_ml.telemetry.
- [backends](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/backends.md): Generated API reference for luxonis_ml.telemetry.backends.
- [base](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/backends/base.md): Generated API reference for luxonis_ml.telemetry.backends.base.
- [noop](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/backends/noop.md): Generated API reference for luxonis_ml.telemetry.backends.noop.
- [posthog](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/backends/posthog.md): Generated API reference for luxonis_ml.telemetry.backends.posthog.
- [stdout](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/backends/stdout.md): Generated API reference for luxonis_ml.telemetry.backends.stdout.
- [cli](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/cli.md): Generated API reference for luxonis_ml.telemetry.cli.
- [cyclopts](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/cli/cyclopts.md): Generated API reference for luxonis_ml.telemetry.cli.cyclopts.
- [shared](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/cli/shared.md): Generated API reference for luxonis_ml.telemetry.cli.shared.
- [typer](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/cli/typer.md): Generated API reference for luxonis_ml.telemetry.cli.typer.
- [client](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/client.md): Generated API reference for luxonis_ml.telemetry.client.
- [config](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/config.md): Generated API reference for luxonis_ml.telemetry.config.
- [context](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/context.md): Generated API reference for luxonis_ml.telemetry.context.
- [events](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/events.md): Generated API reference for luxonis_ml.telemetry.events.
- [redaction](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/redaction.md): Generated API reference for luxonis_ml.telemetry.redaction.
- [singleton](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/singleton.md): Generated API reference for luxonis_ml.telemetry.singleton.
- [suppression](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/telemetry/suppression.md): Generated API reference for luxonis_ml.telemetry.suppression.
- [tracker](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/tracker.md): Generated API reference for luxonis_ml.tracker.
- [mlflow_plugins](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/tracker/mlflow_plugins.md): Generated API reference for luxonis_ml.tracker.mlflow_plugins.
- [tracker](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/tracker/tracker.md): Generated API reference for luxonis_ml.tracker.tracker.
- [utils](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils.md): Generated API reference for luxonis_ml.utils.
- [color](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/color.md): Generated API reference for luxonis_ml.utils.color.
- [base](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/color/base.md): Generated API reference for luxonis_ml.utils.color.base.
- [brand](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/color/brand.md): Generated API reference for luxonis_ml.utils.color.brand.
- [gradient](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/color/gradient.md): Generated API reference for luxonis_ml.utils.color.gradient.
- [palette](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/color/palette.md): Generated API reference for luxonis_ml.utils.color.palette.
- [Filesystem CLI](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/__main__.md): Generated API reference for luxonis_ml.utils.__main__.
- [config](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/config.md): Generated API reference for luxonis_ml.utils.config.
- [environ](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/environ.md): Generated API reference for luxonis_ml.utils.environ.
- [filesystem](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/filesystem.md): Generated API reference for luxonis_ml.utils.filesystem.
- [graph](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/graph.md): Generated API reference for luxonis_ml.utils.graph.
- [logging](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/logging.md): Generated API reference for luxonis_ml.utils.logging.
- [path](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/path.md): Generated API reference for luxonis_ml.utils.path.
- [registry](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/registry.md): Generated API reference for luxonis_ml.utils.registry.
- [validation](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/utils/validation.md): Generated API reference for luxonis_ml.utils.validation.
- [CLI](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/__main__.md): Generated API reference for luxonis_ml.__main__.
- [guard_extras](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/guard_extras.md): Generated API reference for luxonis_ml.guard_extras.
- [typing](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-ml/luxonis-ml-api-reference/typing.md): Generated API reference for luxonis_ml.typing.
- [LuxonisTrain](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-train.md): Top-level introduction to LuxonisTrain
- [Concepts](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-train/concepts.md): Core concepts for configuring and customizing your LuxonisTrain workflows.
- [Data Preparation](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-train/data-preparation.md): Data preparation for training custom models using LuxonisTrain
- [Training](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-train/training.md): Training custom models using LuxonisTrain
- [Evaluation](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-train/evaluation.md): LuxonisTrain evaluation
- [Exporting](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-train/exporting.md): Exporting custom models using LuxonisTrain
- [API reference](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/luxonis-train/api-reference.md): API reference for LuxonisTrain.
- [Tutorials](https://docs.luxonis.com/software-v3/ai-inference/model-source/training/tutorials.md): Learn how to train neural networks for DepthAI devices. This guide includes Jupyter notebook tutorials for tasks like image classification, object detection, and semantic segmentation.
- [Conversion](https://docs.luxonis.com/software-v3/ai-inference/conversion.md): Learn how to convert a model to a format ready to be deployed on Luxonis devices.
- [Concepts](https://docs.luxonis.com/software-v3/ai-inference/conversion/concepts.md): Learn the core components and terminology used by Luxonis model conversion tools.
- [To ONNX](https://docs.luxonis.com/software-v3/ai-inference/conversion/onnx-conversion.md): Conversion to ONNX from various model formats
- [RVC Conversion](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion.md): Choose the right RVC model conversion path for deploying AI models on Luxonis devices.
- [Offline Conversion](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/offline.md): Convert models locally for RVC2, RVC3, and RVC4 Luxonis devices.
- [ModelConverter](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/offline/modelconverter.md): Local conversion of models to deployment formats for Luxonis devices using ModelConverter.
- [OpenVino (RVC2 & RVC3)](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/offline/openvino.md): Manual conversion for RVC2 and RVC3.
- [SNPE (RVC4)](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/offline/snpe.md): Manual conversion of models for RVC4.
- [Online Conversion](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/online.md): Convert models online with Hub AI, Blobconverter, or simplified YOLO conversion workflows.
- [HubAI](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/online/hubai.md): Runs model conversion online using Hub AI.
- [Blobconverter (legacy)](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/online/blobconverter.md): Supports conversion of models to formats compatible with RVC2 generation of Luxonis cameras.
- [YOLO Simplified Conversion (legacy)](https://docs.luxonis.com/software-v3/ai-inference/conversion/rvc-conversion/online/yolo.md): Convert YOLO weights for Luxonis devices with the legacy simplified conversion flow.
- [Troubleshooting](https://docs.luxonis.com/software-v3/ai-inference/conversion/troubleshooting.md): Troubleshooting guidelines for model conversion.
- [Supported Operations](https://docs.luxonis.com/software-v3/ai-inference/conversion/supported-ops.md): Review the operations supported by Luxonis model conversion tools.
- [Tutorials](https://docs.luxonis.com/software-v3/ai-inference/conversion/tutorials.md): Learn how to convert AI models using our HubAI SDK for online conversion.
- [Inference](https://docs.luxonis.com/software-v3/ai-inference/inference.md): Learn how to run AI inference with built-in and host-side DepthAI nodes.
- [DepthAI Nodes](https://docs.luxonis.com/software-v3/ai-inference/inference/depthai-nodes.md): Host-side DepthAI v3 nodes and message types for parser, utility, and helper workflows.
- [API reference](https://docs.luxonis.com/software-v3/ai-inference/inference/depthai-nodes/api-reference.md): API reference for the DepthAI Nodes inference package.
- [OAK Examples](https://docs.luxonis.com/software-v3/ai-inference/inference/oak-examples.md): OAK Examples is a collection of inference examples that can be used as a starting point or source of inspiration for applications of your own.
- [Benchmarking](https://docs.luxonis.com/software-v3/ai-inference/benchmarking.md): The ModelConverter benchmark tool provides a way to measure the on-device performance of converted models on supported targets (RVC2 and RVC4).
- [NN Archive](https://docs.luxonis.com/software-v3/ai-inference/nn-archive.md): NN Archive is our own format that packages the model executable(s) and configuration files together into a .tar.xz archive.
- [Integrations](https://docs.luxonis.com/software-v3/ai-inference/integrations.md): Learn how to integrate model from outside resources inside our platform.
- [NVIDIA TAO](https://docs.luxonis.com/software-v3/ai-inference/integrations/nvidia-tao.md): Nvidia TAO integration
- [Ultralytics](https://docs.luxonis.com/software-v3/ai-inference/integrations/ultralytics.md): Ultralytics integration
- [Roboflow RF-DETR](https://docs.luxonis.com/software-v3/ai-inference/integrations/rf-detr.md): RF-DETR integration
- [Roboflow Universe](https://docs.luxonis.com/software-v3/ai-inference/integrations/roboflow-universe.md): Roboflow Universe integration
- [Roboflow Workflows](https://docs.luxonis.com/software-v3/ai-inference/integrations/roboflow-workflows.md): Roboflow Workflows integration
- [Agent Tools](https://docs.luxonis.com/software-v3/agent-tools.md): Luxonis is built for AI coding agents: install Agent Skills, ask Luxonis Chat, and point your agent at agent-ready repos and docs.
- [Agent Skills](https://docs.luxonis.com/software-v3/agent-tools/agent-skills.md): Install Luxonis Agent Skills and MCP in your coding agent to choose an OAK camera, set up hardware, and build and verify a DepthAI application.
- [Luxonis Chat](https://docs.luxonis.com/software-v3/agent-tools/chat.md): Luxonis Chat is an AI assistant that answers OAK, DepthAI, and hardware questions using the Luxonis documentation as its knowledge base.
- [Agent-ready repos & docs](https://docs.luxonis.com/software-v3/agent-tools/agent-ready-repos.md): Luxonis repositories and documentation ship agent-oriented files (AGENTS.md, llms.txt) so any AI coding agent can navigate them without guessing.
- [Luxonis OS](https://docs.luxonis.com/software-v3/sw-stack/luxonis-os.md): Luxonis OS is a custom Linux distribution based on Yocto.
- [Troubleshooting](https://docs.luxonis.com/software-v3/troubleshooting.md): Troubleshooting section
- [My App is slow](https://docs.luxonis.com/software-v3/troubleshooting/my-app-is-slow.md): Troubleshoot slow OAK applications by identifying host and device bottlenecks.
- [My device is bricked](https://docs.luxonis.com/software-v3/troubleshooting/my-device-is-bricked.md): Recover OAK devices that do not boot with normal power and connection steps.
- [Neural Network issues](https://docs.luxonis.com/software-v3/troubleshooting/neural-network-issues.md): Troubleshoot neural network issues in DepthAI pipelines on OAK devices.

## Cloud
- [Cloud](https://docs.luxonis.com/cloud.md): Learn how to connect devices, operate fleets, manage models, and integrate Luxonis Hub into your product.
- [Getting started](https://docs.luxonis.com/cloud/hub.md): Luxonis Hub is the OAK-centered control plane for device management, app lifecycle, remote access, and customer integrations.
- [Device Setup](https://docs.luxonis.com/cloud/hub/connect-oak.md): Connect an OAK4 device to Luxonis Hub through the current OAK Viewer adoption flow.
- [Use cases](https://docs.luxonis.com/cloud/hub/use-cases.md): See where Luxonis Hub fits in fleet operations, prototype work, and customer-facing product integrations.
- [Release Notes](https://docs.luxonis.com/cloud/hub/release-notes.md): Release notes for the latest version of Luxonis Hub.
- [Device Management](https://docs.luxonis.com/cloud/features/device-management.md): Inspect connected device state and open supported remote device workflows in Luxonis Hub.
- [OTA Updates](https://docs.luxonis.com/cloud/features/device-management/ota-updates.md): Update supported OAK4 devices through the Luxonis Hub OTA workflow.
- [Web Terminal](https://docs.luxonis.com/cloud/features/device-management/webterminal.md): Open browser-based shell access to a connected device from Luxonis Hub.
- [Apps](https://docs.luxonis.com/cloud/features/application-management.md): Manage the full lifecycle of OAK Apps in Luxonis Hub.
- [App Store](https://docs.luxonis.com/cloud/features/application-management/app-store.md): Discover and deploy OAK Apps from the Luxonis Hub App Store.
- [Manage Applications](https://docs.luxonis.com/cloud/features/application-management/manage-applications.md): Deploy, monitor, and control applications running on connected OAK devices.
- [Application Logs](https://docs.luxonis.com/cloud/features/application-management/application-logs.md): View real-time and historical logs for OAK Apps in Luxonis Hub.
- [Live View and Static Frontend](https://docs.luxonis.com/cloud/features/application-management/live-view-and-static-frontend.md): Preview app output and hosted static frontends directly from Luxonis Hub.
- [Uploading Custom Applications](https://docs.luxonis.com/cloud/features/application-management/uploading-applications.md): Upload built OAK App packages to Luxonis Hub for your workspace.
- [Snaps](https://docs.luxonis.com/cloud/features/event-storage/snaps.md): Understand how Luxonis Hub stores and organizes captured Snaps.
- [AI & Models](https://docs.luxonis.com/cloud/hubai.md): Collection of models ready to be deployed in Luxonis ecosystem.
- [Quick Conversion](https://docs.luxonis.com/cloud/hubai/quick-conversion.md): A quick cloud tool for converting raw AI models into RVC-compiled formats.
- [Concepts](https://docs.luxonis.com/cloud/hubai/model-registry/concepts.md): Learn the key concepts and terms used by the HubAI Model Registry.
- [Preparation](https://docs.luxonis.com/cloud/hubai/model-registry/preparation.md): Prepare model files and Model Cards before uploading to the HubAI Model Registry.
- [Upload/Download](https://docs.luxonis.com/cloud/hubai/model-registry/upload-download.md): Upload models to the HubAI Model Registry and download models you can access.
- [Detailed Conversion](https://docs.luxonis.com/cloud/hubai/model-registry/detailed-conversion.md): A detailed cloud workflow for converting raw AI models into RVC-compiled formats.
- [HubAI SDK](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk.md): Programmatic access to Hub AI models, variants, instances, and online conversion.
- [HubAI SDK API Reference](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference.md): Generated API reference for hubai_sdk.
- [services](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/services.md): Generated API reference for hubai_sdk.services.
- [convert](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/services/convert.md): Generated API reference for hubai_sdk.services.convert.
- [instances](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/services/instances.md): Generated API reference for hubai_sdk.services.instances.
- [models](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/services/models.md): Generated API reference for hubai_sdk.services.models.
- [variants](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/services/variants.md): Generated API reference for hubai_sdk.services.variants.
- [utils](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils.md): Generated API reference for hubai_sdk.utils.
- [config](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/config.md): Generated API reference for hubai_sdk.utils.config.
- [constants](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/constants.md): Generated API reference for hubai_sdk.utils.constants.
- [environ](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/environ.md): Generated API reference for hubai_sdk.utils.environ.
- [filesystem_utils](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/filesystem_utils.md): Generated API reference for hubai_sdk.utils.filesystem_utils.
- [general](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/general.md): Generated API reference for hubai_sdk.utils.general.
- [hub](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/hub.md): Generated API reference for hubai_sdk.utils.hub.
- [hub_requests](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/hub_requests.md): Generated API reference for hubai_sdk.utils.hub_requests.
- [hubai_models](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/hubai_models.md): Generated API reference for hubai_sdk.utils.hubai_models.
- [layout](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/layout.md): Generated API reference for hubai_sdk.utils.layout.
- [metadata](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/metadata.md): Generated API reference for hubai_sdk.utils.metadata.
- [nn_archive](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/nn_archive.md): Generated API reference for hubai_sdk.utils.nn_archive.
- [plugins](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/plugins.md): Generated API reference for hubai_sdk.utils.plugins.
- [quantization](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/quantization.md): Generated API reference for hubai_sdk.utils.quantization.
- [sdk_models](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/sdk_models.md): Generated API reference for hubai_sdk.utils.sdk_models.
- [subprocess](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/subprocess.md): Generated API reference for hubai_sdk.utils.subprocess.
- [telemetry](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/telemetry.md): Generated API reference for hubai_sdk.utils.telemetry.
- [types](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/utils/types.md): Generated API reference for hubai_sdk.utils.types.
- [CLI](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/__main__.md): Generated API reference for hubai_sdk.__main__.
- [errors](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/errors.md): Generated API reference for hubai_sdk.errors.
- [hubai_client](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/hubai_client.md): Generated API reference for hubai_sdk.hubai_client.
- [typing](https://docs.luxonis.com/cloud/hubai/model-registry/hubai-sdk/hubai-sdk-api-reference/typing.md): Generated API reference for hubai_sdk.typing.
- [Use custom models on HubAI](https://docs.luxonis.com/cloud/tutorials/use-custom-models-on-hub-ai.md): Prepare and upload a model to HubAI, convert it, create a team API key, and validate the result with the generic example from oak-examples.
- [Introduction](https://docs.luxonis.com/cloud/api/introduction.md): Start here to understand Luxonis Hub APIs, the automation guides, and the difference between device/application workflows and AI/models automation.
- [API keys](https://docs.luxonis.com/cloud/api/api-keys.md): Learn how to create, manage, and use API keys for authenticating against Luxonis Hub APIs.
- [About GraphQL](https://docs.luxonis.com/cloud/api/graphql.md): Understand how to call the Luxonis Hub GraphQL control API, what public surface to use, and how to shape requests.
- [Guides](https://docs.luxonis.com/cloud/api/guides.md): Step-by-step guides showing how to implement specific use cases with the Luxonis Hub GraphQL API.
- [Integration architecture](https://docs.luxonis.com/cloud/api/guides/integration-architecture.md): Use the canonical customer-owned frontend/backend architecture for Luxonis Hub integrations.
- [Streaming and visualizer](https://docs.luxonis.com/cloud/api/guides/streaming-and-visualizer.md): Learn the recommended Luxonis Hub streaming flow for customer portals and when to use custom rendering.
- [Device management](https://docs.luxonis.com/cloud/api/guides/device-management.md): List devices, inspect device state, and choose the next control-plane action with the Luxonis Hub GraphQL API.
- [Working with Snaps](https://docs.luxonis.com/cloud/api/guides/snaps.md): Learn how to query, filter, and delete snaps using Luxonis Hub GraphQL API.
- [Control API](https://docs.luxonis.com/cloud/api/reference/control-api.md): Reference for the Luxonis Hub GraphQL control API.
- [Schema](https://docs.luxonis.com/cloud/api/reference/control-api/schema.md): Look up the Luxonis Hub GraphQL schema endpoint, public integration boundary, and common inspection workflows.
- [Queries](https://docs.luxonis.com/cloud/api/reference/control-api/queries.md): Exact reference for supported public queries in the Luxonis Hub GraphQL control API.
- [Mutations](https://docs.luxonis.com/cloud/api/reference/control-api/mutations.md): Exact reference for supported public mutations in the Luxonis Hub GraphQL control API.
- [Types](https://docs.luxonis.com/cloud/api/reference/control-api/types.md): Reference for public object and connection types in the Luxonis Hub GraphQL control API.
- [Models API](https://docs.luxonis.com/cloud/api/reference/models-api.md): Reference for the models API used for advanced automation of model registry and conversion workflows.
- [Changelog](https://docs.luxonis.com/cloud/api/changelog.md): Track public Luxonis Hub API changes, deprecations, and upcoming removals.
- [Account Settings](https://docs.luxonis.com/cloud/organization/account.md): Update your personal profile, connected sign-in methods, password, and two-factor authentication in Luxonis Hub.
- [Team & Members](https://docs.luxonis.com/cloud/organization/team.md): Manage your team name, team identifier, members, API keys, billing, and quotas in Luxonis Hub.
- [Firewall and network](https://docs.luxonis.com/cloud/advanced/firewall-network.md): Set your firewall for seamless Agent function.
- [Luxonis Hub Agent](https://docs.luxonis.com/cloud/advanced/legacy/hub-agent.md): The Hub agent is a main component that allows communication between the OAK camera and the cloud services
- [Installation](https://docs.luxonis.com/cloud/advanced/legacy/hub-agent/installation.md): Check if your system meets requirements for the agent installation.
- [CLI](https://docs.luxonis.com/cloud/advanced/legacy/hub-agent/cli.md): Learn the basics commands that allows you to interact with the agent and the its connected devices.
- [Configuration](https://docs.luxonis.com/cloud/advanced/legacy/hub-agent/configuration.md): Learn how to configure Luxonis Hub Agent
- [Firewall and network](https://docs.luxonis.com/cloud/advanced/legacy/hub-agent/firewall-network.md): Set your firewall for seamless Agent function.
- [Troubleshoot](https://docs.luxonis.com/cloud/advanced/legacy/hub-agent/troubleshooting.md): Learn how to troubleshoot the problems with the Agent.
- [Perception Apps](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps.md): Perception Apps enable easy development and deployment of AI applications with OAK cameras, enhancing advanced perception capabilities through a streamlined platform.
- [Get started](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/get-started.md): Create and run a legacy Perception App from the Luxonis Hub templates.
- [Luxonis Hub Studio](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/robothub-studio.md): Develop and publish legacy Perception Apps with Luxonis Hub Studio.
- [Configuration](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/configuration.md): Configure legacy Perception Apps with robotapp.toml fields and runtime settings.
- [Runtime Images](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/images.md): Choose runtime images for running or extending legacy Perception Apps.
- [Python SDK](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/robothub-library.md): Use the Robothub Python SDK to connect legacy Perception Apps with Luxonis Hub.
- [LiveView](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/robothub-library/liveview.md): Stream live video from legacy Perception Apps to Luxonis Hub or a custom frontend.
- [Events](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/robothub-library/events.md): Send Hub events with support files from legacy Perception Apps.
- [Frame Buffer](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/robothub-library/frame-buffer.md): Buffer H.264 frames and send recorded video from legacy Perception Apps to Luxonis Hub.
- [Replay](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/robothub-library/replay.md): Use Replay nodes to feed recorded video or image sequences into legacy Perception Apps.
- [API reference](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/robothub-library/api-reference.md): API reference for the robothub Python SDK.
- [Examples](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples.md): Explore Luxonis Hub's perception app examples, including OCR, QR Code Reader, Depth & Detection, Demographic & Sentiment Analysis, and more. Start developing with comprehensive guides.
- [Template app](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/template-app.md): Build a basic Perception App with object detection, live video, and Hub uploads.
- [OCR](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/ocr.md): Example Perception App for extracting text from images with OCR models.
- [QR Code Reader](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/qr-reader.md): Example Perception App for scanning QR codes with high-resolution OAK camera input.
- [Depth & Detection Live View](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/depth-detect-lv.md): Example Perception App for real-time object and depth detection with Hub live view.
- [Demographic & Sentiment Analysis](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/demographic-sentiment-analysis.md): Example Perception App for analyzing customer demographics and sentiment from camera input.
- [Video recording app](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/video-rec.md): Example Perception App for recording video and uploading results to Luxonis Hub.
- [Working with Events](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/events-work.md): Example Perception App showing how detections and user input can trigger Hub events.
- [Youtube Streaming](https://docs.luxonis.com/cloud/advanced/legacy/perception-apps/examples/youtube-stream.md): Example Perception App for streaming camera output directly to YouTube.

## DepthAI v2
- [DepthAI v2](https://docs.luxonis.com/software.md): Explore Luxonis DepthAI software documentation, tutorials, and API references for developing and deploying vision pipelines on OAK cameras
- [Release Notes](https://docs.luxonis.com/software/release-notes.md): Release notes to latest version of DepthAI.
- [Device](https://docs.luxonis.com/software/depthai-components/device.md): The DepthAI Device API manages OAK cameras and RAE robots, handling AI inference, computer vision, and depth processing with the Robotics Vision Core (RVC).
- [Pipeline](https://docs.luxonis.com/software/depthai-components/pipeline.md): The DepthAI Pipeline API enables creating and managing processing pipelines for OAK devices, linking nodes for AI, vision, and depth tasks. It supports OpenVINO integration and multi-device setups.
- [Nodes](https://docs.luxonis.com/software/depthai-components/nodes.md): Nodes are building blocks of your application. Each node provides specific functionality on the DepthAI, with a set of configurable properties and inputs/outputs.
- [Camera](https://docs.luxonis.com/software/depthai-components/nodes/camera.md)
- [Cast](https://docs.luxonis.com/software/depthai-components/nodes/cast_node.md)
- [ColorCamera](https://docs.luxonis.com/software/depthai-components/nodes/color_camera.md)
- [EdgeDetector](https://docs.luxonis.com/software/depthai-components/nodes/edge_detector.md)
- [FeatureTracker](https://docs.luxonis.com/software/depthai-components/nodes/feature_tracker.md)
- [ImageAlign](https://docs.luxonis.com/software/depthai-components/nodes/image_align.md)
- [ImageManip](https://docs.luxonis.com/software/depthai-components/nodes/image_manip.md)
- [IMU](https://docs.luxonis.com/software/depthai-components/nodes/imu.md)
- [MessageDemux](https://docs.luxonis.com/software/depthai-components/nodes/message_demux.md)
- [MobilenetDetectionNetwork](https://docs.luxonis.com/software/depthai-components/nodes/mobilenet_detection_network.md)
- [MobilenetSpatialDetectionNetwork](https://docs.luxonis.com/software/depthai-components/nodes/mobilenet_spatial_detection_network.md)
- [MonoCamera](https://docs.luxonis.com/software/depthai-components/nodes/mono_camera.md)
- [NeuralNetwork](https://docs.luxonis.com/software/depthai-components/nodes/neural_network.md)
- [ObjectTracker](https://docs.luxonis.com/software/depthai-components/nodes/object_tracker.md)
- [PointCloud](https://docs.luxonis.com/software/depthai-components/nodes/pointcloud.md)
- [Script](https://docs.luxonis.com/software/depthai-components/nodes/script.md)
- [SpatialLocationCalculator](https://docs.luxonis.com/software/depthai-components/nodes/spatial_location_calculator.md)
- [SpiIn](https://docs.luxonis.com/software/depthai-components/nodes/spi_in.md)
- [SpiOut](https://docs.luxonis.com/software/depthai-components/nodes/spi_out.md)
- [StereoDepth](https://docs.luxonis.com/software/depthai-components/nodes/stereo_depth.md)
- [Sync](https://docs.luxonis.com/software/depthai-components/nodes/sync.md)
- [SystemLogger](https://docs.luxonis.com/software/depthai-components/nodes/system_logger.md)
- [ToF](https://docs.luxonis.com/software/depthai-components/nodes/tof.md)
- [UVC](https://docs.luxonis.com/software/depthai-components/nodes/uvc.md)
- [VideoEncoder](https://docs.luxonis.com/software/depthai-components/nodes/video_encoder.md)
- [Warp](https://docs.luxonis.com/software/depthai-components/nodes/warp.md)
- [XLinkIn](https://docs.luxonis.com/software/depthai-components/nodes/xlink_in.md)
- [XLinkOut](https://docs.luxonis.com/software/depthai-components/nodes/xlink_out.md)
- [YoloDetectionNetwork](https://docs.luxonis.com/software/depthai-components/nodes/yolo_detection_network.md)
- [YoloSpatialDetectionNetwork](https://docs.luxonis.com/software/depthai-components/nodes/yolo_spatial_detection_network.md)
- [Messages](https://docs.luxonis.com/software/depthai-components/messages.md): DepthAI Messages enable communication between nodes in a pipeline. Nodes exchange information through these messages, which can be created and sent either on the device or from a host computer.
- [Buffer](https://docs.luxonis.com/software/depthai-components/messages/buffer.md)
- [CameraControl](https://docs.luxonis.com/software/depthai-components/messages/camera_control.md)
- [EdgeDetectorConfig](https://docs.luxonis.com/software/depthai-components/messages/edge_detector_config.md)
- [EncodedFrame](https://docs.luxonis.com/software/depthai-components/messages/encodedframe.md)
- [FeatureTrackerConfig](https://docs.luxonis.com/software/depthai-components/messages/feature_tracker_config.md)
- [ImageAlignConfig](https://docs.luxonis.com/software/depthai-components/messages/image_align_config.md)
- [ImageManipConfig](https://docs.luxonis.com/software/depthai-components/messages/image_manip_config.md)
- [ImgDetections](https://docs.luxonis.com/software/depthai-components/messages/img_detections.md)
- [ImgFrame](https://docs.luxonis.com/software/depthai-components/messages/img_frame.md)
- [ImuData](https://docs.luxonis.com/software/depthai-components/messages/imu_data.md)
- [MessageGroup](https://docs.luxonis.com/software/depthai-components/messages/message_group.md)
- [NNData](https://docs.luxonis.com/software/depthai-components/messages/nn_data.md)
- [PointCloudConfig](https://docs.luxonis.com/software/depthai-components/messages/pointcloud_config.md)
- [PointCloudData](https://docs.luxonis.com/software/depthai-components/messages/pointcloud_data.md)
- [SpatialImgDetections](https://docs.luxonis.com/software/depthai-components/messages/spatial_img_detections.md)
- [SpatialLocationCalculatorConfig](https://docs.luxonis.com/software/depthai-components/messages/spatial_location_calculator_config.md)
- [SpatialLocationCalculatorData](https://docs.luxonis.com/software/depthai-components/messages/spatial_location_calculator_data.md)
- [StereoDepthConfig](https://docs.luxonis.com/software/depthai-components/messages/stereo_depth_config.md)
- [SystemInformation](https://docs.luxonis.com/software/depthai-components/messages/system_information.md)
- [TofConfig](https://docs.luxonis.com/software/depthai-components/messages/tof_config.md)
- [Tracklets](https://docs.luxonis.com/software/depthai-components/messages/tracklets.md)
- [TrackedFeatures](https://docs.luxonis.com/software/depthai-components/messages/tracked_features.md)
- [Bootloader](https://docs.luxonis.com/software/depthai-components/bootloader.md): The DepthAI Bootloader initializes OAK cameras, handling boot processes, configurations, and updates via the depthai library.
- [Getting Started](https://docs.luxonis.com/software/depthai/getting-started.md): Get started with application development for your OAK device.
- [Manual DepthAI installation](https://docs.luxonis.com/software/depthai/manual-install.md): Step-by-step guide for manual installation of DepthAI and all dependencies on various platforms.
- [Hello World](https://docs.luxonis.com/software/depthai/hello-world.md): Guide through the code of an application for streaming color video with object detection using a neural network running on the camera.
- [Multi-Device Setup](https://docs.luxonis.com/software/depthai/multi-device-setup.md): Learn how to set up multiple DepthAI devices on a single host. This guide covers connecting, configuring, and managing multiple OAK cameras, ensuring efficient operation and data synchronization.
- [Standalone mode](https://docs.luxonis.com/software/depthai/standalone.md): Standalone mode allows you to run applications (e.g., people/vehicle counting, LPR, fall detection) without a host computer. Learn how to leverage this feature for enhanced autonomy and efficiency.
- [On Device Programming](https://docs.luxonis.com/software/depthai/on-device-programming.md)
- [Resolution Techniques for NNs](https://docs.luxonis.com/software/depthai/resolution-techniques.md): This guide covers handling aspect ratio mismatches, using cropping, stretching, and letterboxing, and displaying detections in high resolution to optimize performance and accuracy.
- [Pipeline Debugging](https://docs.luxonis.com/software/depthai/debugging.md): Debugging tools offer robust solutions for identifying and resolving issues in AI pipelines on OAK devices, including logging configurations, resource monitoring, performance optimization, and troubleshooting.
- [Optimizing FPS & Latency](https://docs.luxonis.com/software/depthai/optimizing.md): Optimize FPS and latency on OAK devices with DepthAI. This guide provides tips on adjusting configurations, measuring operation times, and reducing latency in AI pipelines for improved performance.
- [DepthAI Examples](https://docs.luxonis.com/software/depthai/examples.md): DepthAI's extensive code examples demonstrates AI, vision, and depth capabilities on OAK devices. These examples cover various applications and configurations, serving as practical guides for developers.
- [Crash Report](https://docs.luxonis.com/software/depthai/examples/crash_report.md)
- [Calibration Load](https://docs.luxonis.com/software/depthai/examples/calibration_load.md)
- [Calibration Reader](https://docs.luxonis.com/software/depthai/examples/calibration_reader.md)
- [Calibration Flash](https://docs.luxonis.com/software/depthai/examples/calibration_flash.md)
- [Calibration Flash V5](https://docs.luxonis.com/software/depthai/examples/calibration_flash_v5.md)
- [Camera Undistort](https://docs.luxonis.com/software/depthai/examples/camera_undistort.md)
- [Casting NN Blur](https://docs.luxonis.com/software/depthai/examples/cast_blur.md)
- [Casting NN Subtraction](https://docs.luxonis.com/software/depthai/examples/cast_diff.md)
- [Casting NN Concatenation](https://docs.luxonis.com/software/depthai/examples/cast_concat.md)
- [Bootloader Config](https://docs.luxonis.com/software/depthai/examples/bootloader_config.md)
- [Bootloader Version](https://docs.luxonis.com/software/depthai/examples/bootloader_version.md)
- [Flash User Bootloader](https://docs.luxonis.com/software/depthai/examples/flash_user_bootloader.md)
- [Flashing USB Recovery Header](https://docs.luxonis.com/software/depthai/examples/flash_usb_recovery_header.md)
- [Poe Set IP](https://docs.luxonis.com/software/depthai/examples/poe_set_ip.md)
- [Flash Bootloader](https://docs.luxonis.com/software/depthai/examples/flash_bootloader.md)
- [Image Manip Rotate](https://docs.luxonis.com/software/depthai/examples/image_manip_rotate.md)
- [RGB Rotate Warp](https://docs.luxonis.com/software/depthai/examples/rgb_rotate_warp.md)
- [Image Manip Tiling](https://docs.luxonis.com/software/depthai/examples/image_manip_tiling.md)
- [Feature Detector](https://docs.luxonis.com/software/depthai/examples/feature_detector.md)
- [Feature Tracker](https://docs.luxonis.com/software/depthai/examples/feature_tracker.md)
- [Edge Detector](https://docs.luxonis.com/software/depthai/examples/edge_detector.md)
- [RGB Preview](https://docs.luxonis.com/software/depthai/examples/rgb_preview.md)
- [Autoexposure Roi](https://docs.luxonis.com/software/depthai/examples/autoexposure_roi.md)
- [RGB Video](https://docs.luxonis.com/software/depthai/examples/rgb_video.md)
- [RGB Scene](https://docs.luxonis.com/software/depthai/examples/rgb_scene.md)
- [RGB Camera Control](https://docs.luxonis.com/software/depthai/examples/rgb_camera_control.md)
- [Mono Full Resolution Saver](https://docs.luxonis.com/software/depthai/examples/mono_full_resolution_saver.md)
- [Mono Preview Alternate Pro](https://docs.luxonis.com/software/depthai/examples/mono_preview_alternate_pro.md)
- [Mono Preview](https://docs.luxonis.com/software/depthai/examples/mono_preview.md)
- [Mono Camera Control](https://docs.luxonis.com/software/depthai/examples/mono_camera_control.md)
- [Queue Add Callback](https://docs.luxonis.com/software/depthai/examples/queue_add_callback.md)
- [Opencv Support](https://docs.luxonis.com/software/depthai/examples/opencv_support.md)
- [Latency Measurement](https://docs.luxonis.com/software/depthai/examples/latency_measurement.md)
- [Device Queue Event](https://docs.luxonis.com/software/depthai/examples/device_queue_event.md)
- [Device Information](https://docs.luxonis.com/software/depthai/examples/device_information.md)
- [Object Tracker Video](https://docs.luxonis.com/software/depthai/examples/object_tracker_video.md)
- [Spatial Object Tracker](https://docs.luxonis.com/software/depthai/examples/spatial_object_tracker.md)
- [Object Tracker](https://docs.luxonis.com/software/depthai/examples/object_tracker.md)
- [Video Mobilenet](https://docs.luxonis.com/software/depthai/examples/video_mobilenet.md)
- [RGB Mobilenet 4K](https://docs.luxonis.com/software/depthai/examples/rgb_mobilenet_4k.md)
- [RGB Mobilenet](https://docs.luxonis.com/software/depthai/examples/rgb_mobilenet.md)
- [Mono Mobilenet](https://docs.luxonis.com/software/depthai/examples/mono_mobilenet.md)
- [RGB Encoding](https://docs.luxonis.com/software/depthai/examples/rgb_encoding.md)
- [RGB Mono Encoding](https://docs.luxonis.com/software/depthai/examples/rgb_mono_encoding.md)
- [Encoding Max Limit](https://docs.luxonis.com/software/depthai/examples/encoding_max_limit.md)
- [Disparity Encoding](https://docs.luxonis.com/software/depthai/examples/disparity_encoding.md)
- [RGB Full Resolution Saver](https://docs.luxonis.com/software/depthai/examples/rgb_full_resolution_saver.md)
- [RGB Encoding Mono Mobilenet Depth](https://docs.luxonis.com/software/depthai/examples/rgb_encoding_mono_mobilenet_depth.md)
- [Rotated Spatial Detections](https://docs.luxonis.com/software/depthai/examples/rotated_spatial_detections.md)
- [Mono Depth Mobilenetssd](https://docs.luxonis.com/software/depthai/examples/mono_depth_mobilenetssd.md)
- [RGB Encoding Mono Mobilenet](https://docs.luxonis.com/software/depthai/examples/rgb_encoding_mono_mobilenet.md)
- [Multiple Devices](https://docs.luxonis.com/software/depthai/examples/multiple_devices.md)
- [RGB Encoding Mobilenet](https://docs.luxonis.com/software/depthai/examples/rgb_encoding_mobilenet.md)
- [Concat Multi Input](https://docs.luxonis.com/software/depthai/examples/concat_multi_input.md)
- [Normalization Multi Input](https://docs.luxonis.com/software/depthai/examples/normalization_multi_input.md)
- [RGB-ToF Align](https://docs.luxonis.com/software/depthai/examples/tof_align.md)
- [RGB-Thermal Align](https://docs.luxonis.com/software/depthai/examples/thermal_align.md)
- [RGB-Left Align](https://docs.luxonis.com/software/depthai/examples/image_align.md)
- [Thermal Camera](https://docs.luxonis.com/software/depthai/examples/thermal_camera.md)
- [Script Get Ip](https://docs.luxonis.com/software/depthai/examples/script_get_ip.md)
- [Script Change Pipeline Flow](https://docs.luxonis.com/software/depthai/examples/script_change_pipeline_flow.md)
- [Script Http Server](https://docs.luxonis.com/software/depthai/examples/script_http_server.md)
- [Script Forward Frames](https://docs.luxonis.com/software/depthai/examples/script_forward_frames.md)
- [Script Emmc Access](https://docs.luxonis.com/software/depthai/examples/script_emmc_access.md)
- [Script Json Communication](https://docs.luxonis.com/software/depthai/examples/script_json_communication.md)
- [Script Nndata Example](https://docs.luxonis.com/software/depthai/examples/script_nndata_example.md)
- [Script Camera Control](https://docs.luxonis.com/software/depthai/examples/script_camera_control.md)
- [Script Mjpeg Server](https://docs.luxonis.com/software/depthai/examples/script_mjpeg_server.md)
- [Script UART](https://docs.luxonis.com/software/depthai/examples/script_uart.md)
- [Script Http Client](https://docs.luxonis.com/software/depthai/examples/script_http_client.md)
- [Stereo Depth Video](https://docs.luxonis.com/software/depthai/examples/stereo_depth_video.md)
- [Depth Crop Control](https://docs.luxonis.com/software/depthai/examples/depth_crop_control.md)
- [Depth Preview](https://docs.luxonis.com/software/depthai/examples/depth_preview.md)
- [Stereo Depth Custom Mesh](https://docs.luxonis.com/software/depthai/examples/stereo_depth_custom_mesh.md)
- [Depth Post Processing](https://docs.luxonis.com/software/depthai/examples/depth_post_processing.md)
- [Stereo Depth From Host](https://docs.luxonis.com/software/depthai/examples/stereo_depth_from_host.md)
- [RGB Depth Aligned](https://docs.luxonis.com/software/depthai/examples/rgb_depth_aligned.md)
- [Tof Depth](https://docs.luxonis.com/software/depthai/examples/tof_depth.md)
- [Imu Accelerometer Gyroscope](https://docs.luxonis.com/software/depthai/examples/imu_accelerometer_gyroscope.md)
- [Imu Rotation Vector](https://docs.luxonis.com/software/depthai/examples/imu_rotation_vector.md)
- [PointCloud Control](https://docs.luxonis.com/software/depthai/examples/pointcloud_control.md)
- [PointCloud Visualization](https://docs.luxonis.com/software/depthai/examples/pointcloud_visualization.md)
- [Spatial Mobilenet](https://docs.luxonis.com/software/depthai/examples/spatial_mobilenet.md)
- [Spatial Calculator Multi Roi](https://docs.luxonis.com/software/depthai/examples/spatial_calculator_multi_roi.md)
- [Spatial Tiny Yolo](https://docs.luxonis.com/software/depthai/examples/spatial_tiny_yolo.md)
- [Spatial Mobilenet Mono](https://docs.luxonis.com/software/depthai/examples/spatial_mobilenet_mono.md)
- [Spatial Location Calculator](https://docs.luxonis.com/software/depthai/examples/spatial_location_calculator.md)
- [Warp Mesh](https://docs.luxonis.com/software/depthai/examples/warp_mesh.md)
- [Warp Mesh Interactive](https://docs.luxonis.com/software/depthai/examples/warp_mesh_interactive.md)
- [Thermal People Detection](https://docs.luxonis.com/software/depthai/examples/thermal_nn.md)
- [Tiny Yolo](https://docs.luxonis.com/software/depthai/examples/tiny_yolo.md)
- [YOLOv8 Nano](https://docs.luxonis.com/software/depthai/examples/yolov8_nano.md)
- [System Information](https://docs.luxonis.com/software/depthai/examples/system_information.md)
- [UVC Mono](https://docs.luxonis.com/software/depthai/examples/uvc_mono.md)
- [UVC Disparity](https://docs.luxonis.com/software/depthai/examples/uvc_disparity.md)
- [UVC RGB](https://docs.luxonis.com/software/depthai/examples/uvc_rgb.md)
- [Feature Motion Estimation](https://docs.luxonis.com/software/depthai/examples/feature_motion_estimation.md)
- [Demux Message Group](https://docs.luxonis.com/software/depthai/examples/demux_message_group.md)
- [Depth Video Sync](https://docs.luxonis.com/software/depthai/examples/depth_video_sync.md)
- [Imu Video Sync](https://docs.luxonis.com/software/depthai/examples/imu_video_sync.md)
- [Scripts Sync](https://docs.luxonis.com/software/depthai/examples/scripts_sync.md)
- [Computer Vision](https://docs.luxonis.com/software/perception/computer-vision.md)
- [RGB-D](https://docs.luxonis.com/software/perception/rgb-d.md)
- [Neural Networks](https://docs.luxonis.com/software/perception/neural-networks.md): Explore how to train, export, and integrate AI models on DepthAI devices. This guide covers performance measurement, optimization, and post-processing outputs.
- [Spatial AI](https://docs.luxonis.com/software/perception/spatial-ai.md)
- [DepthAI ROS](https://docs.luxonis.com/software/ros/depthai-ros.md): DepthAI ROS integrates OAK devices with ROS, enabling RGB-D sensing and on-device AI inference.The API includes filters for data handling and custom converters for tailored applications.
- [Build from Source](https://docs.luxonis.com/software/ros/depthai-ros/build.md): Build DepthAI ROS from source for custom AI, vision, and depth applications on OAK devices. This guide covers dependencies, setup procedures and Docker usage.
- [Driver](https://docs.luxonis.com/software/ros/depthai-ros/driver.md): The DepthAI ROS Driver allows OAK cameras to operate as ROS2 Components or ROS1 Nodelets, enabling customization via ROS parameters. It supports launching multiple cameras, configuring sensors and managing neural networks.
- [VIO and SLAM](https://docs.luxonis.com/software/ros/vio-slam.md): This guide covers setting up SLAM projects, on-device SuperPoint for localization, and syncing frames with IMU messages for accurate mapping and navigation.
- [Visualization (Foxglove)](https://docs.luxonis.com/software/ros/visualize-foxglove.md): Visualization of DepthAI ROS Driver data using free tool Foxglove Studio.
- [Model Zoo](https://docs.luxonis.com/software/ai-inference/zoo.md): DepthAI Model Zoo offers a collection of neural network models for OAK and RAE devices. Models can be accessed via Python using the BlobConverter library, allowing integration into DepthAI applications.
- [Conversion](https://docs.luxonis.com/software/ai-inference/conversion.md): Learn how to convert AI models to run on DepthAI devices using the BlobConverter tool. This guide covers converting models from frameworks like PyTorch and TensorFlow to the MyriadX blob format.
- [Integrations](https://docs.luxonis.com/software/ai-inference/integrations.md): This guide covers simplified Yolo conversion (V5 to V8, Gold Yolo) and deploying custom computer vision models with Roboflow for effective results.
- [Yolo](https://docs.luxonis.com/software/ai-inference/integrations/yolo.md)
- [Roboflow](https://docs.luxonis.com/software/ai-inference/integrations/roboflow.md)
- [Training](https://docs.luxonis.com/software/ai-inference/training.md): Learn how to train neural networks for DepthAI devices. This guide includes Jupyter notebook tutorials for tasks like image classification, object detection, and semantic segmentation.
- [Post-processing](https://docs.luxonis.com/software/ai-inference/post-processing.md): This guide covers interpreting raw data, using predefined models like MobileNet and Yolo, and handling custom models for tasks such as object detection. It also provides practical examples for visual feedback and data analytics.
- [Performance Optimization](https://docs.luxonis.com/software/ai-inference/performance.md): Optimize AI model performance on DepthAI devices with techniques like quantization, hardware acceleration, and Luxonis-specific optimization. This article also explains metrics such as latency, throughput and accuracy.
- [YOLO models](https://docs.luxonis.com/software/ai-inference/yolo_models.md)
- [DataDreamer](https://docs.luxonis.com/software/ai-inference/datadreamer.md): DataDreamer by DepthAI allows for the creation of annotated datasets using generative AI and computer vision models. It generates synthetic data, labels datasets automatically, and trains efficient edge AI models without relying on real-world data.
- [API reference](https://docs.luxonis.com/software/ai-inference/datadreamer/api-reference.md)
- [Python API](https://docs.luxonis.com/software/api/python.md): Luxonis DepthAI Python API allows for easy integration with OAK devices, supporting AI, computer vision, and depth perception tasks.
- [C++ API](https://docs.luxonis.com/software/api/cpp.md): Luxonis DepthAI C++ API allows for easy integration with OAK devices, supporting AI, computer vision, and depth perception tasks.
- [Java API](https://docs.luxonis.com/software/api/java.md): Java API is a community contribution.