Dlib FaceLandmark Detector

$40.00

DlibFaceLandmarkDetector is an Assets Plugin for object detection and shape prediction using Dlib19.7 C++ Library.

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

Benchmark Example

Advanced Examples:(require OpenCV for Unity)

Texture2DToMat Example

WebCamTexture2MatHelper Example

VideoCapture2MatHelper Example

ARHead WebCamTexture Example