Dlib FaceLandmark Detector

Works with Unity Cloud Build

ChromeOS support

iOS & Android support

Windows10 UWP support

WebGL support

Win & Mac & Linux Standalone support

Preview support in the Editor

DlibFaceLandmarkDetector can ObjectDetection and ShapePrediction using Dlib19.7 C++ Library.

Official Site | ExampleCode | Android Demo WebGL Demo | Tutorial & Demo Video | Forum | API Reference

Features:

- You can detect frontal human faces and face landmark (68 points, 17points, 6points) in Texture2D, WebCamTexture and Image byte array. In addition, You can detect a different objects by changing trained data file.

- ObjectDetector is made using the now classic Histogram of Oriented Gradients (HOG) feature combined with a linear classifier, an image pyramid, and sliding window detection scheme. You can train your own detector in addition to human faces detector. If you want to train your own detector, please refer to this page.

- ShapePredictor is created by using dlib's implementation of the paper(One Millisecond Face Alignment with an Ensemble of Regression Trees by Vahid Kazemi and Josephine Sullivan, CVPR 2014). You can train your own models in addition to human face landmark model using dlib's machine learning tools. If you want to train your own models, please refer to this page.

- Advanced examples using “OpenCV for Unity” are Included. (The execution of this examples are required “OpenCV for Unity”.)

- By utilizing the VisualScripting With DlibFaceLandmarkDetector Example, you can leverage all the methods available in DlibFaceLandmarkDetector within the Unity’s Visual Scripting development environment. VisualScripting With DlibFaceLandmarkDetector Example (GitHub)

Examples:

Texture2DExample

WebCamTextureExample

CatDetectionExample

Benchmark Example

Advanced Examples:

(require OpenCV for Unity)

Texture2DToMatExample

WebCamTexture2MatHelperExample

VideoCapture2MatHelperExample

ARHeadWebCamTextureExample

ARHeadVideoCaptureExample

FrameOptimizationExample

NoiseFilterWebCamTextureExample

NoiseFilterVideoCaptureExample

ExampleCode using Dlib FaceLandmark Detector is available.

FaceMask Example

HoloLens with DlibFaceLandmarkDetector Example

DlibFaceLandmarkDetector uses Dlib under Boost Software License ; see Third-Party Notices.txt file in package for details.

The Shape Predictor model files included with this asset are available for commercial use.

System Requirements

Build Win Standalone & Preview Editor : Windows 8 or later

Build Mac Standalone & Preview Editor : OSX 10.13 or later

Build Linux Standalone & Preview Editor : Ubuntu18.04 or later

Build Android : API level 21 or later

Build iOS : iOS Version 11.0 or later

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