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ORML

Table of contents

  1. What can I do with it?
  2. How do I use it?
  3. Credits and references

orml-dbface

DBFace is a real-time, single-stage face detector with high accuracy. orml-dbface provides the model and interface for easy use.

What can I do with it?

The model provided by orml-dbface allows for fast detection of faces in images. This enables applications that can detect and locate faces.

For a more detailed face extraction and face pose estimation look for orml-facemesh

How do I use it?

First load the dbface model.

val dbface = DBFaceDetector.load()

Then for every frame.

val rectangles = dbface.detectFaces(videoFrame)
drawer.fill = null
drawer.stroke = ColorRGBa.PINK
for (r in rectangles) {
    drawer.rectangle(r.area * Vector2(640.0, 480.0))
    for (l in r.landmarks) {
        drawer.circle(l.x * 640.0, l.y * 480.0, 10.0)
    }
}

For a full example consult DemoDetector.kt

detector-01.png

Credits and references

Based on

  • https://github.com/terryky/tfjs_webgl_app/blob/master/dbface/tfjs_dbface.js
  • https://github.com/dlunion/DBFace