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@google-cloud/vision
Advanced tools
Node.js idiomatic client for Vision API.
The Cloud Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content.
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.
Table of contents:
Select or create a Cloud Platform project.
Enable billing for your project.
Enable the Google Cloud Vision API API.
Set up authentication with a service account so you can access the API from your local workstation.
npm install --save @google-cloud/vision
// Imports the Google Cloud client library
const vision = require('@google-cloud/vision');
// Creates a client
const client = new vision.ImageAnnotatorClient();
// Performs label detection on the image file
client
.labelDetection('./resources/wakeupcat.jpg')
.then(results => {
const labels = results[0].labelAnnotations;
console.log('Labels:');
labels.forEach(label => console.log(label.description));
})
.catch(err => {
console.error('ERROR:', err);
});
Samples are in the samples/
directory. The samples' README.md
has instructions for running the samples.
Sample | Source Code | Try it |
---|---|---|
Detection samples | source code | |
Detection samples for Beta API | source code |
The Vision API Node.js Client API Reference documentation also contains samples.
This library follows Semantic Versioning.
This library is considered to be in beta. This means it is expected to be mostly stable while we work toward a general availability release; however, complete stability is not guaranteed. We will address issues and requests against beta libraries with a high priority.
More Information: Google Cloud Platform Launch Stages
Contributions welcome! See the Contributing Guide.
Apache Version 2.0
See LICENSE
FAQs
Google Cloud Vision API client for Node.js
The npm package @google-cloud/vision receives a total of 75,521 weekly downloads. As such, @google-cloud/vision popularity was classified as popular.
We found that @google-cloud/vision demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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