Now, before we go ahead and detect faces, we need to tell the robot what a face is and what it looks like. Raspberry Pi does not know how exactly to classify a face from a pumpkin. So firstly, we would be using a dataset to tell the robot what our face looks like; thereafter, we will start recognizing the faces as we go. So let's go ahead and see how to do it.
Firstly, you need to install a dependency called Haar-cascade. This is a cascade-dependent algorithm that is used to detect objects rapidly. To do this, go ahead and run the following syntax on your terminal:
git clone https://github.com/opencv/opencv/tree/master/data/haarcascades
This will save the haarcascades file onto your Raspberry Pi and you will be ready to use ...
