Dlib FaceLandmark Detector

Dlib FaceLandmark Detector is a Unity plugin that lets you use Dlib19.7 C++ Library in Unity for object detection and shape prediction. Official Site | ExampleCode | Android Demo WebGL Demo | Tutorial & Demo Video | Forum | API Reference OUR ASSET FEATURES - Cross Platform iOS & Android & Windows10 UWP support. Win & Mac & Linux Standalone support. WebGL support. ChromeOS support. visionOS support.(beta) Support for preview in the Editor. - Object Detection & Shape Prediction - Object Detection: Detect frontal human faces and other objects using Histogram of Oriented Gradients (HOG) feature combined with a linear classifier, an image pyramid, and sliding window detection scheme. - Shape Prediction: Detect face landmarks (68 points, 17 points, 6 points) 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). - Custom Training: You can train your own object detector and shape predictor models using dlib's machine learning tools. (Object Detector Training Tool, Shape Predictor Training Tool) - Easy to Use - Support for Texture2D , WebCamTexture , and Image byte array input. - When combined with OpenCV for Unity, you can also input from OpenCV's Mat class for enhanced image processing capabilities. - Helper functions for easy integration with Unity. - FaceLandmarkDetector class implement Mat class for IDisposable , allowing you to manage resources using the using statement. - Include Many Examples - Includes a wide variety of example usage scenarios, which consist of scene files and script codes. By running these example applications, you can learn how to develop Dlib applications effectively. - Basic Examples: Texture2D Example, WebCamTexture Example, Benchmark Example. - Advanced Examples: Advanced examples using OpenCV for Unity. (requires OpenCV for Unity) DlibFaceLandmarkDetector Examples (GitHub) EnoxSoftware repositories (GitHub) - Visual Scripting Support You can take full advantage of all the features of DlibFaceLandmarkDetector in Unity’s Visual Scripting. You can learn how to integrate them through the VisualScripting With DlibFaceLandmarkDetector Example (GitHub). Demo: - Android Demo - WebGL Demo Examples: Texture 2DExample WebCamTexture Example WebCamTextureDownScaleExample Benchmark Example Advanced Examples:(require OpenCV for Unity) Texture2DToMat Example WebCamTexture2MatHelper Example VideoCapture2MatHelper Example ARHead WebCamTexture Example ARHead VideoCapture Example FrameOptimization Example NoiseFilter WebCamTexture Example NoiseFilter VideoCapture Example ExampleCode using Dlib FaceLandmark Detector is available. FaceMask Example CV VTuber 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 12.0 or later Build VisionOS : visionOS 1 or later (beta) More Info >>