Dlib FaceLandmark Detector (v1.3.4)

Version v1.3.4Link 1 | Link 2 | Link 3


DlibFaceLandmarkDetector can Object Detection and Shape Prediction using Dlib C++ Library.

Works with Unity Cloud Build
ChromeOS support
iOS & Android support
Windows10 UWP support
WebGL support
Win & Mac & Linux Standalone support

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

– 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)



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