Open-source alternatives to Librealsense

OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin

Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT applications. It provides a hardware abstraction layer with standardized drivers to interact with GPIO, I2C, SPI, and PWM interfaces across various single-board computers and microcontrollers. The framework functions as an IoT device orchestrator and BLE device manager, enabling the coordination of multiple sensors, actuators, and Bluetooth Low Energy peripherals. It includes specialized interfaces for drone control, allowing for the management of flight maneuvers and video streams

JavaCV provides a Java-based interface for native computer vision and video processing libraries. It functions as a wrapper for native vision libraries, allowing Java applications to perform image analysis, object detection, and video stream processing. The project integrates comprehensive computer vision capabilities, including facial recognition, image segmentation, and optical flow analysis for motion tracking. It also provides tools for hardware geometry calibration and projector-camera alignment to ensure accurate spatial representation. The system covers high-performance media renderin

MiDaS is a PyTorch computer vision library and monocular depth estimation model designed to predict scene depth from single images. It functions as a scene depth predictor that computes distance maps to determine object proximity to the camera. The project enables zero-shot depth transfer, allowing the model to be applied to new datasets or environments without additional training data. It focuses on relative depth regression to predict scale-invariant depth maps. The library includes a real-time depth visualizer for capturing live camera feeds and displaying corresponding depth maps. It als

COLMAP is a 3D scene reconstruction suite and C++ geometry library that implements a full structure-from-motion pipeline. It functions as a GPU-accelerated photogrammetry tool and multi-view stereo framework designed to produce dense 3D geometry and watertight meshes from collections of 2D images. The project distinguishes itself through hardware-accelerated feature extraction and a modular camera modeling system that supports perspective, fisheye, and equirectangular lens types. It employs vocabulary tree image retrieval to efficiently identify similar images in large datasets and provides P

Gyroflow is a gyroscope video stabilization software and IMU telemetry processor designed to remove camera shake from video files. It functions as a hardware-accelerated video renderer and lens calibration tool, utilizing embedded or external gyroscope and accelerometer data to perform pixel-level stabilization. The system is distinguished by its ability to integrate with professional non-linear video editing software via plugins, allowing stabilization to be applied directly to timelines without transcoding original footage. It supports diverse telemetry ingestion from camera brands, flight

SensorsCalibration is a toolkit for computing the intrinsic and extrinsic parameters of cameras and LiDAR sensors in automotive environments. It provides tools for calculating internal camera focal properties, aligning LiDAR point clouds to 2D camera images, and determining the spatial transformations between multiple sensors and the vehicle coordinate system. The project includes a targetless calibration framework that aligns sensors to a vehicle by analyzing natural features in road environments without the need for specialized physical markers. It also supports factory calibration processe

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br

i2cdevlib is a collection of peripheral drivers and hardware abstraction layers designed for I2C devices. It provides a sensor driver collection, a register map database, and a peripheral manager to coordinate communication between microcontrollers and hardware components. The project utilizes a hardware abstraction layer to decouple device logic from specific microcontroller hardware and wire libraries. This transport-layer abstraction allows the same device drivers to remain portable across different hardware architectures. The library covers a broad range of hardware integration, includin

This project is a 3D visual localization framework designed to determine a camera's exact position and orientation by matching 2D image features against a 3D reference model. It includes a structure-from-motion pipeline to reconstruct 3D scene geometry from unordered image sets, creating the necessary spatial maps for localization. The system employs a hierarchical coarse-to-fine localization approach. This process begins with a global-descriptor image retrieval system to identify candidate reference images from a large database and progresses through local feature matching to final 3D model

This project is a Java-based toolkit that integrates the OpenCV computer vision library into the Processing creative coding environment. It provides a programming interface designed to facilitate the inclusion of real-time image analysis and computer vision algorithms within interactive art installations and visual design projects. The library distinguishes itself by wrapping low-level C++ routines into a managed environment, allowing users to perform complex visual tasks through a simplified interface. It supports high-performance operations by sharing raw pixel data between the host environ

This project is a software-defined radio platform designed to capture, analyze, and broadcast radio frequency signals across a wide spectrum. It provides a programmable hardware interface for transmitting and receiving radio signals, enabling spectrum analysis and wireless data monitoring. The system is distinguished by its ability to synchronize multiple devices using a shared external clock and hardware triggers to ensure precise timing and sample accuracy. It supports advanced signal routing, allowing ports to be mapped based on frequency or time to enable specialized operations like pseud

PX4-Autopilot is a professional-grade flight control software stack designed for autonomous unmanned vehicles, including multicopters, fixed-wing aircraft, and vertical takeoff and landing platforms. It operates as a modular, real-time framework that decouples flight control logic from hardware drivers through a publish-subscribe middleware architecture. The system utilizes a deterministic microkernel runtime to execute time-critical flight control loops and sensor fusion tasks, ensuring stable navigation and vehicle operation. The platform distinguishes itself through a parameter-driven conf

Piper is a GTK desktop application and client interface designed to manage gaming peripheral hardware settings. It serves as a visual tool for configuring mice and keyboards by communicating with the libratbag background daemon. The application provides a graphical interface to adjust hardware-level settings without the use of proprietary vendor software. This includes a dedicated configuration UI for gaming mice to manage DPI and other device-specific parameters. The tool covers several hardware customization areas, including RGB lighting patterns, mouse button remapping, and cursor sensiti

Sapiens is a high-resolution human vision model designed for high-precision, human-centric computer vision tasks. It functions as a suite of tools for estimating human pose, depth, and surface geometry. The project utilizes a vision transformer backbone to perform multiple tasks through a shared encoder. This architecture enables the simultaneous prediction of skeletal structures, joint locations, and the distance between a camera and a human subject. The model's capabilities cover human body part segmentation to isolate anatomical regions from backgrounds and surface normal prediction to re

ComfyUI-3D-Pack is a suite of custom nodes for ComfyUI that enables 3D asset generation and rendering within a node-based workflow. It provides a set of tools for reconstructing textured three-dimensional meshes and volumetric scenes from single images, multi-view images, or text prompts. The system includes a Gaussian splatting generator for creating high-fidelity volumetric 3D scene representations and a multi-view image generator to produce consistent image sets for reconstruction. It also features a single image 3D mesh tool to build geometry from a single 2D source. The toolset covers 3

Depth-Anything is a monocular depth estimation foundation model that produces dense per-pixel depth maps from a single RGB image. It is built on a DINOv2 Vision Transformer encoder backbone and trained on 62 million unlabeled images using a teacher-student pseudo-labeling framework, enabling robust generalization across diverse scenes without task-specific training. The model outputs both relative depth maps, which capture the ordering of scene points, and metric depth maps with real-world units after fine-tuning on datasets like NYUv2 or KITTI. The project distinguishes itself through its ab

Solaar is a device management tool and configuration suite for Logitech wireless peripherals on Linux. It serves as an input peripheral monitor that tracks battery levels and connection link quality via a system tray application, while providing a receiver manager for pairing and unpairing wireless devices with proprietary USB receivers. The project features an input device automation engine that maps hardware events and mouse gestures to simulated keyboard inputs or system commands. This allows for the creation of custom rules that trigger actions based on device notifications or specific wi

Depth-Anything-3 is a collection of core model implementations for depth prediction, multi-view geometry estimation, and RGB-D spatial pipelines. It includes a monocular depth estimation model for predicting depth maps from single images or video, and a 3D Gaussian splatting generator that predicts parameters to synthesize high-fidelity novel views of a scene. The project provides a multi-view geometry estimator for calculating spatially consistent depth and camera poses across synchronized visual inputs. It also functions as a visual SLAM enhancement tool designed to reduce drift and improve

Depth-Anything-V2 is a computer vision foundation model designed for general-purpose spatial understanding and depth perception. It functions as a monocular depth estimation model that predicts relative and absolute depth maps from single images or video sequences. The project provides specialized tools for both relative depth estimation and metric depth calculation, allowing for the determination of absolute physical distances in indoor and outdoor environments. It includes a video depth estimation framework that ensures temporal consistency across sequential frames to maintain stable depth

DAIN is a video frame synthesis engine and AI video upsampling tool designed to increase video playback smoothness. It functions as a computer vision model that synthesizes intermediate frames between existing images to transform low frame rate video into high frame rate content. The system utilizes depth-aware video frame interpolation to predict the motion of pixels between consecutive images. By analyzing spatial depth via depth maps, the tool generates new frames that account for occlusions and overlapping objects to create slow motion effects. The framework incorporates optical flow int

This project is an RGB-D image inpainting tool and framework for 3D photo reconstruction. It transforms single 2D images into 3D content by estimating monocular depth and synthesizing missing color and depth data to fill occluded regions. The system uses a layered depth image representation to manage scene boundaries and pixel connectivity. This allows for novel view synthesis, enabling the generation of videos that simulate motion parallax effects from different camera perspectives. The project covers a range of spatial modeling capabilities, including depth map estimation, disparity-based

Pyarmor is a toolset for protecting Python software through source code obfuscation, bytecode protection, and binary compilation. It functions as a code obfuscator, bytecode protector, and binary compiler designed to prevent reverse engineering and unauthorized access to Python scripts and packages. The project distinguishes itself by providing a comprehensive software license manager that enables hardware-bound licensing. This allows developers to lock script execution to specific physical devices or virtual machines and enforce strict expiration dates via encrypted runtime keys. Its broade

Glad is a cross-platform graphics API loader generator that produces source code for loading function pointers based on official specifications. It functions as a multi-language tool designed to ensure consistent communication between applications and graphics drivers across different operating systems and hardware. The tool utilizes a plugin-based architecture to generate loading code for multiple programming languages. It employs specification-driven code generation, parsing official XML or JSON files to ensure the correctness of function signatures and mapping optional API extensions to sp

FreeMoCap is an open-source markerless motion capture system that reconstructs 3D human pose from video. It uses a multi-camera setup with ChArUco board calibration to accurately triangulate body landmarks, and it also supports single-camera recording for simpler captures. The system outputs skeleton joint data and generates interactive Jupyter notebooks for each recording, enabling users to explore and analyse motion data directly. Built around hardware-synchronised video capture and MediaPipe-based 2D pose detection, FreeMoCap supports both calibrated multi-camera recording and real-time 2D

openMVS is a multi-view stereo library and photogrammetry pipeline used for 3D scene reconstruction. It transforms Structure from Motion data—specifically camera poses and sparse point clouds—into detailed 3D models consisting of dense point clouds and textured meshes. The project provides a sequence of processing stages to densify point clouds, generate 3D surface meshes, and apply photorealistic textures. It uses multi-view texture blending to map accurate colors onto reconstructed geometry and employs iterative refinement to optimize mesh details. The system includes capabilities for impo