PlayMakerActions for DlibFaceLandmarkDetector 1.0.0 is now available.
- Author: Enox Software
- Category: News
- Tags: Dlib FaceLandmark Detector
PlayMakerActions for DlibFaceLandmarkDetector 1.0.0 is now available.
https://www.assetstore.unity3d.com/#!/content/95863
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Add WebGL platform Supports!
A new target platform has been added to our Unity Asset “OpenCVForUnity” and “DlibFaceLandmarkDetector“. With this update, it is now possible to develop WebGL applications that users can easily play with web browsers. Although it is currently in beta version, it seems that the main functions are working without problems. It works with Unity 5.3 or later. Demo Application Click To Start Development Tips Put a file that you want to use for the Utils.getFilePathAsync() in the “Aseets/StreamingAssets/” folder. In Case of WebGL platform, you need to use the Utils.getFilePathAsync() instead of the Utils.getFilePath(). (The haarcascade_frontalface_alt.xml is for OpenCVForUnityExample’s scenes. Please copy only when necessary) On the WebGL platform (asm.js), the calculation result of Float type may be significantly different from other platforms. When using the OpenCV’s method that use the Mat class (CvType is CV_32F) as an argument, you need to pay attention to the calculation precision. Please try experiencing WebGL development.
- Author: Enox Software
- Category: News
Dlib FaceLandmark Detector ver1.2.6 Release!
Version 1.2.6 [Common]Added “sp_human_face_17.dat”, “sp_human_face_17_mobile.dat” and “sp_human_face_6.dat”. [Common]Changed the training dataset of Shape Predictor model. Since the training dataset consists of Flickr CC0 licensed images, the Shape Predictor model files are available for commercial use. [Common]Added BenchmarkExample.
- Author: Enox Software
- Category: Update
- Tags: Dlib FaceLandmark Detector
Dlib FaceLandmark Detector ver1.1.0 Release!
Version 1.1.0 [Win][Mac][Linux][UWP]Added the native plugin file enabled SSE4 or AVX compiler option.
- Author: Enox Software
- Category: Update
- Tags: Dlib FaceLandmark Detector