24 open-source projects similar to v4l2loopback/v4l2loopback, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best V4l2loopback alternative.
Avatarify-python is a real-time face animation tool that uses a PyTorch-based neural network to map facial movements from a live camera feed onto a static image. It creates photorealistic animated avatars that mimic a user's movements for use in video software. The project includes a remote GPU inference client that offloads heavy computational workloads to a remote server, allowing high-performance animations to run on low-spec hardware. It also features a virtual webcam driver to route synthetic video streams into video conferencing applications as a standard camera device. The system prov
This project is a system-level utility for Linux that intercepts, modifies, and presents live webcam feeds as standard virtual video devices. By creating a bridge between physical hardware and user-space applications, it allows video conferencing software to consume processed streams as if they were native camera inputs. The software distinguishes itself through its ability to manage the lifecycle of video processing tasks as persistent background services. It monitors virtual device activity to dynamically allocate resources, ensuring that image processing and hardware usage are suspended wh
DeepFaceLive is a desktop application designed for real-time facial replacement and animation within live video streams. By utilizing deep learning models, the software performs high-speed identity mapping and facial feature analysis to transform video content as it is captured. The engine relies on GPU-accelerated inference to execute these complex image manipulation tasks at interactive frame rates. The application distinguishes itself through a modular video processing pipeline that chains specialized tasks to maintain high throughput and low latency. It features a virtual camera streaming
LiveTalking is an interactive talking head engine and AI avatar management platform designed to synchronize synthetic speech with facial movements. It functions as a real-time orchestrator that connects large language models and text-to-speech services to neural-rendered digital humans. The project distinguishes itself through low-latency streaming capabilities and the ability to handle real-time conversational interruptions. It supports advanced audio-visual customization, including human voice cloning and the ability to drive avatar expressions using real-time webcam data. The platform cov
BackgroundMattingV2 is a deep learning background matting tool and real-time image segmentation framework. It provides a system for isolating foreground subjects from high-resolution images and video feeds in real time. The project includes a deep learning model trainer for optimizing matting models through base convergence and end-to-end refinement. It also functions as a cross-runtime model exporter, converting trained neural networks into interchangeable formats for deployment across different software environments and hardware runtimes. The framework supports streaming processed webcam f
XNU is an operating system kernel designed to manage system hardware and process execution across different processor architectures. It utilizes a hybrid microkernel design that combines microkernel message passing with monolithic kernel performance by embedding critical subsystems into a single address space. The project implements a port-based asynchronous messaging system for communication between kernel tasks and userspace processes. It manages hardware interactions through a layered driver architecture and enforces system-wide security policies via a mandatory access control interface.
ALVR is a wireless virtual reality streaming tool and headset driver that transmits content from a PC to a headset over Wi-Fi to eliminate physical cables. It functions as a session orchestrator that manages a network-based pipeline for high-resolution frames and a virtual driver layer that enables a computer to communicate with and track wireless hardware. The system utilizes a UDP network protocol to synchronize compressed video frames and positional tracking data. It employs hardware-accelerated H.264 encoding to minimize lag and includes a virtual audio router to redirect microphone input
DistroAV is a live broadcast signal router and network video routing tool designed to transmit audio and video sources over a network. It serves as a system for routing and transmitting media using the Network Device Interface protocol. The project enables the integration of remote network streams into local production scenes as standard input sources. It supports broadcasting program output for remote monitoring and the transmission of individual sources or scenes to network destinations. The software includes capabilities for codec-based media decoding, manual IP-based source discovery, an
This project provides a structured educational curriculum designed to teach Linux kernel internals and system architecture. It serves as a comprehensive training resource for developers, offering hands-on laboratory exercises that cover core operating system principles such as memory management, process scheduling, and interrupt handling. The curriculum distinguishes itself by mapping theoretical concepts directly to kernel source code, allowing learners to navigate and analyze system internals through practical implementation tasks. It facilitates the development of hardware device drivers a
Virtual-Display-Driver is a kernel-level driver for Windows that emulates physical monitors and audio devices. It serves as a virtual monitor emulator, headless server display emulator, and virtual audio device driver to enable extended desktop space and sound routing on systems without physical hardware connections. The project enables the simulation of monitors with custom resolutions, refresh rates, and identification profiles, including support for High Dynamic Range output. It also provides software-defined audio interfaces to simulate virtual microphones and speakers. The software cove
This project is a macOS system camera driver and software plugin that exposes software video streams as hardware-recognized camera inputs. It functions as an OBS virtual camera plugin, allowing the live output of OBS to be utilized as a webcam device within other applications. The tool enables the routing of composited video from a production suite into video conferencing applications such as Zoom or Google Meet. This allows for the streaming of processed scenes instead of a raw webcam feed. The system integrates with macOS using a kernel-level device driver and shared-memory buffer transfer
Weylus is a tablet-to-PC screen mirroring tool and remote input controller that transforms a mobile device into a digital graphic tablet emulator. It enables users to stream a computer display to a mobile device while translating touch gestures, keyboard strokes, and pen data into native computer mouse and keyboard events. The system specifically functions as a virtual secondary monitor and a digital graphic tablet emulator capable of capturing stylus pressure and tilt data for professional drawing. It supports multi-touch input mapping and allows for the configuration of a mobile device as a
WinFSP is a framework for implementing custom file systems on Windows. It enables the creation of user-mode file systems that appear as standard disk drives or network shares to the operating system, allowing developers to implement file system logic in user space via a proxy architecture that avoids the need for custom kernel code. A primary differentiator is its FUSE compatibility layer, which maps POSIX-based file system calls to native Windows requests. This allows existing file systems written for the FUSE API to be ported to Windows and Cygwin environments. The project covers a wide ra
obs-websocket is a WebSocket remote control plugin and extension for OBS Studio. It functions as a JSON-RPC network API that allows external devices and applications to manage software settings, scenes, and streaming operations. The project provides a standardized network protocol that enables remote command execution and event-driven state synchronization. It secures these connections using salted-challenge authentication to verify client identity. The interface covers a broad range of production capabilities, including scene and source management, audio level control, and output management
Dot is a deep learning face swap tool used to replace faces in live video streams, recorded media, and static images. It functions as a deepfake media processor and real-time video manipulator that applies facial transformations through neural network mapping. The system includes a virtual camera video injector that routes processed output into a system-level virtual device to simulate a physical hardware webcam. This allows generated video to be used within third-party video conferencing software. The tool supports real-time source switching via keyboard inputs to toggle between different s
VDO.Ninja is a low-latency peer-to-peer media routing service and video streaming platform designed to integrate remote audio and video feeds into professional production workflows. It functions as a WebRTC broadcast integration tool and studio controller, allowing for the direct transmission of high-definition media between publishers and viewers with minimal delay. The platform distinguishes itself through extensive protocol bridging, converting between WebRTC, WHIP, WHEP, SRT, and RTMP to ensure compatibility across diverse network environments and professional studio software. It includes
This project provides a complete Linux environment for mobile devices by emulating an x86 architecture and translating system calls into native mobile operations. It functions as a terminal emulator that allows users to run standard command-line utilities, manage software packages, and execute unmodified Linux binaries directly on their mobile hardware. The environment distinguishes itself through its ability to maintain persistent background execution, preventing the mobile operating system from suspending shell tasks or active processes. It supports a containerized approach to the root file
Co-tracker is a PyTorch point tracking framework and dense point tracking model designed to map the motion of individual pixels throughout a video. It functions as a video pixel tracker that predicts point trajectories and visibility masks across sequences of video frames. The project includes a computer vision training pipeline that utilizes teacher-student knowledge distillation. This allows for the generation of pseudo-labels from unannotated real video data to fine-tune pre-trained models and reduce the gap between synthetic and real data environments. The framework provides capabilities
A collection of reference implementations and code samples for integrating Android camera hardware and software APIs. The project provides demonstrations for using both the Jetpack CameraX library and the low-level Camera2 API to implement photo and video capture features. The repository includes specialized implementations for high-performance recording, such as high-frame-rate slow motion and high-dynamic-range video. It also features examples of machine learning vision, demonstrating how to analyze live camera frames for object detection and QR code scanning. The project covers broad imag
hass-xiaomi-miot is an integration for Home Assistant that connects Xiaomi smart home devices to the platform. It supports both local and cloud-based communication, automatically selecting the appropriate mode for each device when connected through a Mi account, and also allows direct pairing of individual devices using their IP address and token. The integration provides granular control over device behavior, enabling users to override connection modes, polling intervals, and property mappings for individual devices through YAML configuration. It offers the ability to call Xiaomi's internal
Cloud Hypervisor is a Rust-based hypervisor and KVM virtual machine monitor designed to execute 64-bit guest operating systems. It functions as a user-space virtual machine manager that employs a minimal emulation layer to reduce memory overhead and latency for cloud workloads. The project distinguishes itself through the use of a memory-safe language to implement a virtio device emulator and a user-space device model. It provides a standardized web API for managing virtual machine lifecycles and resource configurations. The platform covers broad virtualization capabilities, including the em
Perfect Green Screen Keys
Moto is a cloud service mockery framework and API mock server that simulates AWS infrastructure locally. It allows developers to test cloud-dependent code and verify infrastructure-as-code templates without deploying real resources or incurring costs. The project functions as an SDK interceptor that can patch existing service clients to redirect requests to a local mock environment. It can also be run as a standalone HTTP server, enabling any programming language to interact with the simulated endpoints. The framework covers a vast array of simulated capabilities, including data storage, com
This project is a scientific computing framework for the .NET ecosystem, providing a comprehensive suite of libraries for numerical analysis, statistics, and mathematical optimization. It serves as a foundational toolkit for developing applications in machine learning, digital signal processing, and computer vision. The framework provides specialized toolkits for training and deploying predictive models, including neural networks, support vector machines, and decision trees. It further distinguishes itself with deep integrations for real-time visual analysis, such as object tracking and facia