FaceRecog

OpenCV + libfacedetection + dlib + CUDA Face Recognition Demo

Environment Configuration

OpenCV 4.7.0
https://opencv.org/releases/
Download opencv-4.7.0-windows.exe
Extract opencv folder to your prefer location.
Files in opencv will be included in the opencv property of project.

CUDA Toolkit 12.1 Update 1
https://developer.nvidia.com/cuda-downloads

cuDNN v8.9.1 (May 5th, 2023), for CUDA 12.x
https://developer.nvidia.com/rdp/cudnn-download

Dlib v19.24
http://dlib.net/

1. Download dlib-19.24.zip and extract dlib-19.24 to the project root folder. ( In the same folder as FaceRecog, libfacedetection, EZ_Source. )
   

2. Create a new folder named build under dlib-19.24.
   And then create a new folder named x64 under build.

• 3.1. Use CMake GUI to generate Visual Studio project.
  
  
  Or
• 3.2. Use Command Line, cd to dlib-19.24\build\x64 folder and execute command:
  cmake -G "Visual Studio 16 2019" -A x64 -T host=x64 ../../dlib

4. Open VS project in dlib-19.24\build\x64. Build 'Release' version.

Properties

Make sure all directories in properties are correct.

Usage

1. Put the face pictures that want to be recognized into the folder: faces.
   This folder should be in the same directory as the main program.
   Like: N:\Development\FaceRecog\FaceRecog\x64\Release\faces

2. Open FaceRecog\FaceRecog.sln and make a Release x64 build.

Demo