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Description of RealTimeFaceRecognitionExample
this project's code is the rewrite of https://github.com/MasteringOpenCV/code/tree/master/Chapter8_FaceRecognition using “OpenCV for Unity”.
Face recognition procedure is 4 steps.
1. Face detection
2. Face preprocessing
3. Collect and learn faces
4. Face recognition
RealTimeFaceRecognitionExample - Version 1.0.7
(31-12-2020)What's new1.0.7[Common]Updated for OpenCV for Unity v2.4.2.( This asset requires OpenCVforUnity2.4.2 or later.)[Common]Refactored the script.1.0.6[Common]Updated for OpenCV for Unity v2.3.8.( This asset requires OpenCVforUnity 2.3.8 or later.)1.0.5[Common]Updated for OpenCV for Unity v2.3.3.( This asset requires OpenCVforUnity 2.3.3 or later.)1.0.4[Common]Fixed save and load process. [Common]Update to WebCamTextureToMatHelper v1.0.6.
Good App GuaranteedThis app passed the security test for virus, malware and other malicious attacks and doesn't contain any threats.
RealTimeFaceRecognitionExample - APK Information
APK Version: 1.0.7Package: com.enoxsofrware.realtimefacerecognitionexampleName: RealTimeFaceRecognitionExampleSize: 42.5 MBDownloads: 2Version : 1.0.7Release Date: 2023-03-31 02:09:15Min Screen: SMALLSupported CPU: armeabi-v7a, arm64-v8a
Package ID: com.enoxsofrware.realtimefacerecognitionexampleSHA1 Signature: 40:85:49:0E:48:76:89:17:2A:C1:62:8D:75:1F:9E:0F:AB:4A:F2:F7Developer (CN): satoo tomoyaOrganization (O): satooLocal (L): MachidaCountry (C): JPState/City (ST): Tokyo
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