A camera desktop application with funny face decorations and filters.

This application is built to try face detection and alignment algorithms in an interesting way.

Supported Operating Systems: Currently, we only support Windows and Ubuntu operation system. However, you can also try to build it for other linux distribution and macOS.

Screenshot:

• CMake >= 3.10
• Qt 5
• OpenCV >= 4.0.1
• C++ 17 compiler

• Install QT:

sudo apt-get install build-essential
sudo apt-get install qtcreator
sudo apt-get install qt5-default
sudo apt-get install qt5-doc
sudo apt-get install qt5-doc-html qtbase5-doc-html
sudo apt-get install qtbase5-examples
sudo /sbin/ldconfig -v

• Install OpenCV

https://linuxize.com/post/how-to-install-opencv-on-ubuntu-18-04/

• Install SDL2 lib

sudo apt-get install libsdl2-dev

• Compile

cd <project directory>
mkdir build
cd build
cmake ..
make

• Run

./FaceCam

NOTE: You need to correct following paths correctly as your installation.

• Visual Studio 2017

• Install CMake for Windows: https://cmake.org/download/

• Install Gitbash (Optional)

• Install QT: Download and install from this link: https://www.qt.io/download

  • Add QT to PATH: C:\Qt\5.12.1\msvc2017_64\bin\

  • Add some environment variables: QT_DIR=C:\Qt\5.12.1\msvc2017_64 QT_QPA_PLATFORM_PLUGIN_PATH=C:\Qt\5.12.1\msvc2017_64\plugins\platforms\

• Compile and install OpenCV 4

  • Add OPENCV_DIR=C:\OpenCV\x64\vc15\staticlib

• Install SDL Lib and add it to PATH: https://trenki2.github.io/blog/2017/06/02/using-sdl2-with-cmake/

  • Download the development package SDL2-devel-2.0.5-VC.zip and extract it to some location on your hard disk
  • Set SDL2_DIR to the location where you extracted the SDL2 development package.
  • Create a file sdl2-config.cmake where you extracted the development libraries with following content:

set(SDL2_INCLUDE_DIRS "${CMAKE_CURRENT_LIST_DIR}/include")
# Support both 32 and 64 bit builds
if (${CMAKE_SIZEOF_VOID_P} MATCHES 8)
  set(SDL2_LIBRARIES "${CMAKE_CURRENT_LIST_DIR}/lib/x64/SDL2.lib;${CMAKE_CURRENT_LIST_DIR}/lib/x64/SDL2main.lib")
else ()
  set(SDL2_LIBRARIES "${CMAKE_CURRENT_LIST_DIR}/lib/x86/SDL2.lib;${CMAKE_CURRENT_LIST_DIR}/lib/x86/SDL2main.lib")
endif ()

string(STRIP "${SDL2_LIBRARIES}" SDL2_LIBRARIES)

• Restart the computer.

• Use PowerShell:

cd <project directory>
mkdir build-win
cd build-win
cmake -G "Visual Studio 15 2017 Win64" ..

• Open build-win\FaceCam.sln with Visual Studio 2017.

• Set FaceCam as StartUp project. (Right click FaceCam project > Set as StartUp project)

• Right click FaceCam project > Properties > Configuration Properties > C/C++ > Code Generation > Set Runtime Library to Multi-threaded (/MT). You need to check this option again after changing the build mode (debug/release).

• Set Working Directory in Debugging to TargetDir: Right click FaceCam project > Properties > Configuration Properties > Debugging > Set Working Directory to $(TargetDir).

• Build project with Visual Studio 2017.

• Deploy QT dlls:

  • For Release Build

  cd build-win\Release
  windeployqt.exe --release FaceCam.exe
  

  • For Debug Build

  cd build-win\Debug
  windeployqt.exe --debug FaceCam.exe
  

• NOTE:

  • If you build with Release mode, cd build-win\Release.
  • Only after you run windeployqt.exe .\FaceCam.exe successfully, you can run the excutable file FaceCam.exe.

• To convert std::string to QString, the following way causes an error on Windows:

QString::fromStdString(string_to_convert);

Instead, Use QString::fromUtf8 like this:

QString::fromUtf8(string_to_convert.c_str());

• In this project, we use code from:

  • Dark Theme for Qt5 by Juergen Skrotzky: https://github.com/Jorgen-VikingGod/Qt-Frameless-Window-DarkStyle.
  • Image viewer from https://github.com/easymodo/qimgv.

• Images, icons from:

  • https://www.flaticon.com/authors/smashicons
  • https://www.flaticon.com/authors/roundicons
  • https://www.freepik.com/free-vector/bunny-ears-nose-carnival-mask-photo_4015599.htm
  • and other images collected from the internet.