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@azure/cognitiveservices-face
Advanced tools
- Version published
- Maintainers
- 4
- Weekly downloads
- 621
- decreased by-27.2%
Weekly downloads
Changelog
@azure/arm-sqlvirtualmachine_5.0.0-beta.7
5.0.0-beta.7 (2023-02-02)
The package of @azure/arm-sqlvirtualmachine is using our next generation design principles since version 5.0.0-beta.7, which contains breaking changes.
To understand the detail of the change, please refer to Changelog.
To migrate the existing applications to the latest version, please refer to Migration Guide.
To learn more, please refer to our documentation Quick Start.
Readme
An isomorphic javascript sdk for - FaceClient
This package contains an isomorphic SDK for FaceClient.
Currently supported environments
- LTS versions of Node.js
- Latest versions of Safari, Chrome, Edge, and Firefox.
How to Install
npm install @azure/cognitiveservices-face
How to use
nodejs - Authentication, client creation and list personGroupPerson as an example written in TypeScript.
Install @azure/ms-rest-azure-js
npm install @azure/ms-rest-azure-js
Sample code
The following sample detects the facial features on the given image. To know more, refer to the Azure Documentation on Face APIs
const { FaceClient, FaceModels } = require("@azure/cognitiveservices-face");
const { CognitiveServicesCredentials } = require("@azure/ms-rest-azure-js");
async function main() {
const faceKey = process.env["faceKey"] || "<faceKey>";
const faceEndPoint = process.env["faceEndPoint"] || "<faceEndPoint>";
const cognitiveServiceCredentials = new CognitiveServicesCredentials(faceKey);
const client = new FaceClient(cognitiveServiceCredentials, faceEndPoint);
const url =
"https://pbs.twimg.com/profile_images/3354326900/3a5168f2b45c07d0965098be1a4e3007.jpeg";
const options = {
returnFaceLandmarks: true
};
client.face
.detectWithUrl(url, options)
.then(result => {
console.log("The result is: ");
console.log(result);
})
.catch(err => {
console.log("An error occurred:");
console.error(err);
});
}
main();
browser - Authentication, client creation and list personGroupPerson as an example written in JavaScript.
Sample code
- index.html
<!DOCTYPE html>
<html lang="en">
<head>
<title>@azure/cognitiveservices-face sample</title>
<script src="node_modules/@azure/ms-rest-js/dist/msRest.browser.js"></script>
<script src="node_modules/@azure/cognitiveservices-face/dist/cognitiveservices-face.js"></script>
<script type="text/javascript">
const faceKey = "<YOUR_FACE_KEY>";
const faceEndPoint = "<YOUR_FACE_ENDPOINT>";
const cognitiveServiceCredentials = new msRest.ApiKeyCredentials({
inHeader: {
"Ocp-Apim-Subscription-Key": faceKey
}
});
const client = new Azure.CognitiveservicesFace.FaceClient(
cognitiveServiceCredentials,
faceEndPoint
);
const url =
"https://pbs.twimg.com/profile_images/3354326900/3a5168f2b45c07d0965098be1a4e3007.jpeg";
const options = {
returnFaceLandmarks: true
};
client.face
.detectWithUrl(url, options)
.then(result => {
console.log("The result is: ");
console.log(result);
})
.catch(err => {
console.log("An error occurred:");
console.error(err);
});
</script>
</head>
<body></body>
</html>
Related projects
FAQs
FaceClient Library with typescript type definitions for node.js and browser.
The npm package @azure/cognitiveservices-face receives a total of 489 weekly downloads. As such, @azure/cognitiveservices-face popularity was classified as not popular.
We found that @azure/cognitiveservices-face demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 4 open source maintainers collaborating on the project.
Did you know?
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