emotion-detector
Advanced tools
Emotion recognition in Node.js, using TensorFlow.js and OpenCV.
npm i emotion-detector -g
Examples)emotion-detector draw -i ./images/input.jpg -o ./output.jpg -c white
emotion-detector info -i ./images/input.jpg
// Output:
// [ { face: { x: 251, y: 58, height: 82, width: 82 },
// emotion: 'happy' },
// { face: { x: 478, y: 73, height: 88, width: 88 },
// emotion: 'happy' },
// { face: { x: 24, y: 80, height: 100, width: 100 },
// emotion: 'happy' },
// { face: { x: 112, y: 97, height: 87, width: 87 },
// emotion: 'happy' } ]
FAQs
Emotion recognition in Node.js
We found that emotion-detector demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
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.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.
Security News
NVD’s backlog surpasses 20,000 CVEs as analysis slows and NIST announces new system updates to address ongoing delays.
Security News
Research
A malicious npm package disguised as a WhatsApp client is exploiting authentication flows with a remote kill switch to exfiltrate data and destroy files.