NPM package for TensorFlow.js models exported from Custom Vision Service
This package is for web browsers. If you are looking for a library to run on Node.js environment, please use customvision-tfjs-node.
npm install @microsoft/customvision-tfjsOr, if you would like to use CDN,
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.12.0/dist/tf.min.js"></script>
<script src="https://unpkg.com/@microsoft/customvision-tfjs@1.3.0"></script><img id="image" src="https://github.com/microsoft/customvision-tfjs/raw/master/test_image.jpg" />import * as cvstfjs from '@microsoft/customvision-tfjs';
let model = new cvstfjs.ClassificationModel();
await model.loadModelAsync('model.json');
const image = document.getElementById('image');
const result = await model.executeAsync(image);The result is a 1D-array of probabilities.
import * as cvstfjs from '@microsoft/customvision-tfjs';
let model = new cvstfjs.ObjectDetectionModel();
await model.loadModelAsync('model.json');
const image = document.getElementById('image');
const result = await model.executeAsync(image);The result has 3 arrays.
[
[[0.1, 0.3, 0.4, 0.3], [0.2, 0.4, 0.8, 0.9]], // bounding boxes (x1, y1, x2, y2)
[0.2, 0.3], // probabilities
[1, 4] // class ids
]This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.