New Case Study:See how Anthropic automated 95% of dependency reviews with Socket.Learn More
Socket
Sign inDemoInstall
Socket

@microsoft/customvision-tfjs

Package Overview
Dependencies
Maintainers
1
Versions
4
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

@microsoft/customvision-tfjs

Library for Tensorflow.js models exported from customvision.ai

1.3.0
latest
Source
npm
Version published
Weekly downloads
56
36.59%
Maintainers
1
Weekly downloads
 
Created
Source

customvision-tfjs

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.

Install

npm install @microsoft/customvision-tfjs

Or, if you would like to use CDN,

<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.8.3/dist/tf.min.js"></script>
<script src="https://unpkg.com/@microsoft/customvision-tfjs@1.2.0"></script>

Usage

<img id="image" src="test_image.jpg" />

Classification

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.

Object Detection

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
]

References

  • sample scripts

Contributing

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.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

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.

FAQs

Package last updated on 19 Dec 2021

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts