mediapipe

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

GPU Accelerated MediaPipe Plugin for TouchDesigner

A full-body keyboard using gestures to type through computer vision

Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

realtime motion tracking in blender using mediapipe and rigify

Virtually controlling computer using hand-gestures and voice commands. Using MediaPipe, OpenCV Python.

Add filters (background blur, etc) to your webcam on Linux.

Running Google Mediapipe Hand Tracking models on Luxonis DepthAI hardware (OAK-D-lite, OAK-D, OAK-1,...)

EyeTrax – webcam-based eye tracking made simple

Control DJI Tello 🛸 using hand gesture recognition on drone`s camera video-stream. Feel free to contribute!

MediaPipeのPythonパッケージのサンプルです。2024/9/1時点でPython実装のある15機能について用意しています。

MediaPipeで姿勢推定を行い、Tokyo2020オリンピック風のピクトグラムを表示するデモ

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports invers…

Human action classification system with pose-based (MediaPipe) and video-based (3D CNN) models. Features 100+ architectures for real-time pose classification and temporal models pretrained on UCF-101/HMDB51.

A vision-based drawing application

19 ready-to-run computer vision projects with YOLO, ByteTrack & MediaPipe — counting, safety, ANPR, heatmaps and more

A openCV program that detects faces and displays Tiktok cats.

Use Python, OpenCV, and MediaPipe to control a keyboard with facial gestures