ErickKS/next-onnx
How to integrate the YOLOv8 ONNX model into your Next.js 13 application.
This project helps integrate a custom-trained YOLOv8 object detection model into a Next.js web application. It takes your pre-trained YOLOv8 model, exported in ONNX format, and outputs a web application capable of performing real-time object detection. This is useful for web developers building interactive applications that need to recognize objects in images or video streams directly in the browser.
No commits in the last 6 months.
Use this if you are a web developer looking to embed a custom YOLOv8 object detection model into a Next.js 13 application for client-side inferencing.
Not ideal if you need to train a YOLOv8 model, as this project focuses on integration rather than model development or training.
Stars
20
Forks
—
Language
TypeScript
License
—
Category
Last pushed
Oct 30, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ErickKS/next-onnx"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
HichTala/draw2-plugin
DRAW 2 Plugin for OBS, to integrate Yu-Gi-Oh! cards detector into your live streams and videos
bensonruan/Color-Tracking
Color Tracking with tracking.js
collabnix/pico
Object Detection and Analysis Made easy using Raspberry Pi, Apache Kafka, AWS Rekognition & Docker
YaelBenShalom/Objects-Recognition-and-Classification
Objects recognition and classification using machine learning, computer vision and real-time...