Face Detection using Python and OpenCV with webcam | Python Projects | GeeksforGeeks
In this Project, we will see how to develop real-time human face detection in Python using OpenCV. The objective of the program given is to detect objects of interest(faces) in real-time and to keep track of the same object. Face Recognition is a part of computer vision where we locate and visualize faces using ML models in any digital image.
OpenCV contains many pre-trained classifiers for face, eyes, smiles, etc. Face detection using Haar cascades files is a machine-learning approach where the model is trained with a set of input data.
You need to download the trained classifier haarcascade_frontalface_default.xml from here: https://github.com/opencv/opencv/tree...
which is available in OpenCv’s GitHub repository.
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