Mediapipe Collection

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🔥Fire

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

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🔮Psychic

★★

“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.”

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⚡Electric

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“Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js”

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⚡Electric

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“GPU Accelerated MediaPipe Plugin for TouchDesigner”

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🔮Psychic

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“Unity plugin to run MediaPipe”

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⚡Electric

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“JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐”

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🔮Psychic

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

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⚡Electric

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“XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online”

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🔮Psychic

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

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📦Normal

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“Lazyeat（懒人手势）｜手势隔空控制，比划就行！Lazyeat is a touch-free controller for use while eating! Don't want greasy hands while watching shows or browsing the web during meals? You can pause videos/full screen/switch videos just by gesturing to the camera!”

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📦Normal

★★

“An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.”

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🔮Psychic

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“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.”

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🔮Psychic

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“realtime motion tracking in blender using mediapipe and rigify”

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🔮Psychic

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“TensorFlow Lite Samples on Unity”

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🔮Psychic

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

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🔥Fire

★★

“Virtual Video Device for Background Replacement with Deep Semantic Segmentation”

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📦Normal

★★

“MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。（Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.）”

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📦Normal

★★

“Real-time portrait segmentation for mobile devices”