Set-up build environment on Linux

Linux is one of the easiest os'es to set-up as most packages and libraries can be found in the package repositories.

Ubuntu and Debian

sudo apt-get update && sudo apt-get install build-essential cmake ninja-build libopencv-dev

If you have not installed VSCode yet, do not install using APT in ubuntu as it will install the sandboxed snap version.

Which has many issues due to the sandbox environment

Use this guide instead, which installs it using the APT repository from Microsoft themselves.

sudo pacman -S opencv cmake gcc ninja

If you have not installed VSCode yet,

Install the visual-studio-code-bin package from AUR.

sudo dnf install opencv-devel gcc cmake ninja

If you have not installed VSCode yet, use this guide.

The library contains an example demonstrating the usage and functionality of this library.

To compile and run this example:

Clone this repo:

git clone https://github.com/CLFML/Face_Detector.Cpp.git

Open the cloned repo folder in vscode; File->Open Folder
Select Ninja as build generator by pressing CRTL+SHIFT+P->"CMake: Open CMake Tools Extension Settings"->"@ext:ms-vscode.cmake-tools generator" Now type Ninja (with capital N into the generator field!).
Select the GCC kitby pressing CTRL+SHIFT+p and selecting CMake: Select a kit.
CMake will now configure; By default it will configure as Debug build, this has a significant performance hit. To change to release with debug info (which has optimizations turned on, but is still debuggable). Press CTRL+SHIFT+p again and enter CMake: Select Variant-> RelWithDebInfo
Let CMake Finish configuring your build configuration. Then click on the Play button on the blue bar on the bottom of screen, CMake might ask which target to launch, select the Face_roi_demo target.
After build is finished, it will launch the demo which uses your camera to detect your face.