26 Open source projects that are alternatives of or similar to depthai_hand_tracker

Realtime hand tracking and finger tracking in Unity using Mediapipe

UE4 MediaPipe plugin

MediaPipe examples which stream their detections over OSC.

Ultraleap SDK for Unity.

With Yeelight Hand Controller you can turn on and off your Yeelight just with a finger snap and change the brightness intensity raising or lowering your hand.

BlazePoseBarracuda is a human 2D/3D pose estimation neural network that runs the Mediapipe Pose (BlazePose) pipeline on the Unity Barracuda with GPU.

Awesome work on hand pose estimation/tracking

A practical hand tracking engine.

Google MediaPipe Face + Hands + Body + Object

VSDK is an XR software development kit that enables developers to quickly build XR experiences through systems for naturalistic user interactions and support across a wide variety of XR devices and peripherals. VSDK is available for Unity 3D and for Unreal Engine.

OpenXR API layer enabling XR_EXT_hand_tracking support using Ultraleap tracking

✋ Navigating desktop with hand gesture

Intel Realsense Toolkit for Hand tracking and Gestural Recognition on Unity3D

Cross-platform, customizable ML solutions for live and streaming media.

A tool to navigate the desktop with hand gestures. Builds on mediapipe.

Developed an AI-based system to control the mouse cursor using Python and OpenCV with the real-time camera. Fingertip location is mapped to RGB images to control the mouse cursor.

A pure .NET port for Google Mediapipe, inspired of MediaPipeUnity.

Real time webcam face detection, protect yourself from COVID19 with a virtual mask

Deep Learning and Computer Vision Applications using Streamlit

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业应用。

The human body is detected with the help of the Mediapipe library. Then, using the mathematical methods applied, it is determined how much the exercise count is done.

An open source computer vision interface that tracks eye movements for individuals with severely-limited mobility.

The purpose of this project is to apply mediapipe to more AI chips.

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Real-time Recognition of german sign language (DGS) with MediaPipe

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.