shashwatah/sharingan

Real-Time object detection app, built with Tensorflow.js.

27
/ 100
Experimental

Sharingan helps developers integrate real-time object detection directly into desktop applications. It takes a live video stream or camera input and outputs bounding boxes and labels for detected objects, all processed locally without needing cloud services. This tool is ideal for developers building custom applications that require immediate visual recognition capabilities.

No commits in the last 6 months.

Use this if you are a developer building a desktop application and need to embed live, client-side object detection without complex backend infrastructure.

Not ideal if you need a pre-built, ready-to-use application for end-users, or if your primary focus is web-based or mobile object detection.

desktop-app-development real-time-vision local-AI computer-vision-integration
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 4 / 25

How are scores calculated?

Stars

27

Forks

1

Language

JavaScript

License

MIT

Last pushed

Jan 13, 2024

Commits (30d)

0

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