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The project is tested on Windows and Linux (with all necessary libraries pre-installed manually)

Project structure:

  • dataset -> the directory with test images
  • dll -> the directory with dianmic libraries
  • facedetector -> the source directory for the face search function
  • helpers -> the source directory for the helper classes
  • include -> the directory with include files
  • test_image -> the directory with test images for Gtest
  • weights -> the directory with weights of neural network

List of required libraries:

  • OpenCV
  • Boost
  • Gtest

For windows, the download of the necessary libraries can be done in Vcpkg (https://github.com/microsoft/vcpkg). Below is the script for automatic installation of all dependencies.

    > git clone https://github.com/microsoft/vcpkg
    > cd vcpkg
    > .\vcpkg\bootstrap-vcpkg.bat
    > vcpkg install opencv:x64-windows
    > vcpkg install boost:x64-windows
    > vcpkg install gtest:x64-windows

There is no script for installing all dependencies for Linux. Unfortunately, I don't know Linux that well.

Architectural solutions in the project:

  • From the condition that we do not know the number of images, it was decided to process them with batches of size 20.

  • Jason file format:

     {
 "image_id": "../dataset\1\2\2\i (1).jpg",
 "faces": [ [281, 143, 594, 575] ]
 }

Where:

  • "image_id" -> The relative path to the image from the folder
  • "faces" -> An array of rectangles with the coordinates of the found faces. Coordinates in XYXY format