https://github.com/gbaeke/emotion

Detect emotion with FER+
https://github.com/gbaeke/emotion

ai emotion fer ferplus go golang machinelearning ml opencv webcam

Last synced: 6 days ago
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Detect emotion with FER+

• Host: GitHub
• URL: https://github.com/gbaeke/emotion
• Owner: gbaeke
• Created: 2019-01-05T23:20:25.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-07T18:22:17.000Z (almost 6 years ago)
• Last Synced: 2024-11-15T02:14:55.077Z (about 2 months ago)
• Topics: ai, emotion, fer, ferplus, go, golang, machinelearning, ml, opencv, webcam
• Language: Go
• Size: 151 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Emotion Detection with FER+ in Go

Go program to detect emotion from faces in a video stream. It uses a container built with Azure Machine Learning and the ONNX FER+ model for emotion detection.

Use the following command to start the container:

docker run -d -p 5002:5001 gbaeke/onnxferplus

The container exposes a scoring URI at http://localhost:5002/score. Scoring URI can be set with environment variable SCOREURI

By default, the webcam capture is shown in a window. With the environment variable VIDEO=0, you can turn this off.

Code requires:

- github.com/disintegration/imaging

- gocv.io/x/gocv

Also install Open CV. See [GoCV](https://gocv.io/) for more info

See [blog post](https://blog.baeke.info/2019/01/06/detecting-emotions-with-fer/) for more information.

Run in a container as follows:

docker run -it --rm --device=/dev/video0 --env SCOREURI="YOUR-SCORE-URI" --env VIDEO=0 gbaeke/emo