Dlib FaceLandmark Detector 1.06 unity3d asset U3D教程 ios开发

插件名称：Dlib FaceLandmark Detector 1.06	插件官网：访问官网
版权协议：Red pine1.1	解压密码：通用密码

Dlib FaceLandmark Detector 1.06 unity3d asset U3D教程 ios开发

Dlib FaceLandmark Detector系列索引：

Dlib FaceLandmark Detector 1.1.7  下载链接
Dlib FaceLandmark Detector 1.2.0  下载链接
Dlib FaceLandmark Detector 1.2.4  下载链接
Dlib FaceLandmark Detector 1.2.5  下载链接
Dlib FaceLandmark Detector 1.2.6  下载链接
Dlib FaceLandmark Detector 1.2.7  下载链接
Dlib FaceLandmark Detector 1.2.8  下载链接

Dlib FaceLandmark Detector 1.06 unity3d asset U3D教程 ios开发

Dlib FaceLandmark Detector 1.06 unity3d asset U3D教程 ios开发

Dlib FaceLandmark Detector 1.06 unity3d asset U3D教程 ios开发

Dlib FaceLandmark Detector 1.06 unity3d asset U3D教程 ios开发

Requires Unity 5.0.0 or higher.
Works with Unity and Unity Pro
[NEW] WebGL(beta) support(Unity5.3 or later)
iOS & Android support
WindowsStoreApp8.1 & WindowsPhone8.1 & Windows10 UWP support
Win & Mac & Linux Standalone support
Preview support in the Editor

DlibFaceLandmarkDetector can ObjectDetection and ShapePrediction using Dlib19.0 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) 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”.)


Examples:
Texture2DExample
WebCamTextureExample
CatDetectionExample

Advanced Examples:
(require OpenCV for Unity)
Texture2DToMatExample
WebCamTextureToMatExample
WebCamTextureARExample
VideoCaptureExample
VideoCaptureARExample
OptimizationExample


ExampleCode using Dlib FaceLandmark Detector is available.
FaceSwapper Example
FaceMask Example


System Requirements
Build Win Standalone & Preview Editor : Windows 7 or later
Build Mac Standalone & Preview Editor : OSX 10.8 or later

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