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Set-up build environment on Mac Os

For Mac os it is easier to use Brew (community-based package manager).

With Brew installed it is relatively easy as it requires one command to install all the required packages and libraries.

Installing Brew

Follow the instructions on the webpage.

Installation of packages and libraries

The command for installing the packages and libraries:

brew install cmake gcc opencv ninja

Installing VSCode

Follow the instructions on the VSCode website.

Compiling and running the example

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

To compile and run this example:

  1. Clone this repo: 

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

  2. Open the cloned repo folder in vscode; File->Open Folder

  3. 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!). CMake extension tool settings; Generator

  4. Select the GCC kitby pressing CTRL+SHIFT+p and selecting CMake: Select a kit.

  5. 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 Variant

  6. 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. Launch target

  7. After build is finished, it will launch the demo which uses your camera to detect your face.