Making Next Gen Vue Machine Learning Applications using TensorFlow.js
summary
Shows how to load @tensorflow/tfjs and the coco-ssd model into a Vue 3 Composition API component, call model.detect on an <img> or webcam frame, and draw bounding boxes — demo detects a scissors image and a person from the camera and works live in the browser. Describes using WebGL backend or WASM for faster inference, explains install/import steps, highlights lower latency, no server cost, and that the integration fits in about six key lines of code (load, detect, render).
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chapters (6)
- 0:00Introduction to speaker
- 0:54Understanding tensorflow.js
- 2:14ML integration approaches
- 5:27Demo: Object detection
- 10:15AI possibilities in web
- 11:26Q&A and closing remarks
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