houmo-ai/mediapipe_plus
The purpose of this project is to apply mediapipe to more AI chips.
This project helps integrate Google MediaPipe's computer vision capabilities into a wider range of AI hardware, specifically Nvidia's Jetson AGX Xavier. It takes an input video and processes it with AI models, such as a face detection model, to produce an output video with detections (like facial bounding boxes and landmarks). This is primarily used by embedded systems developers or AI hardware engineers who need to deploy high-performance computer vision applications on edge devices.
Use this if you are an embedded systems developer working with Nvidia Jetson AGX Xavier and need to accelerate MediaPipe-based computer vision inference using TensorRT for faster, more efficient edge AI applications.
Not ideal if you are an end-user without a technical background in AI hardware, embedded systems, or C++/Bazel development, as this project requires significant technical setup and coding knowledge.
Stars
53
Forks
16
Language
C++
License
—
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/houmo-ai/mediapipe_plus"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
vidursatija/BlazePalm
PyTorch & CoreML implementation of MediaPipe Hands
pjbelo/mediapipe-js-demos
Google MediaPipe Javascript Demos (including live demos)
beenotung/mediapipe-nodejs
A Node.js library for running MediaPipe models that are typically browser-only. This package...
gokulnpc/Face-Mesh-Detection-Mediapipe
This project utilizes MediaPipe and OpenCV to perform real-time face mesh detection using a...