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:
which is available in OpenCv’s GitHub repository.
Explore Premium LIVE and Online Courses :
Follow us for more fun, knowledge and resources:
Download GeeksforGeeks' Official App:
Twitter-
LinkedIn-
Instagram-
Telegram-
Also, Subscribe if you haven't already! :)
Смотрите видео Face Detection using Python and OpenCV with webcam | Python Projects | GeeksforGeeks онлайн без регистрации, длительностью 32 минут 57 секунд в хорошем hd качестве. Это видео добавил пользователь GeeksforGeeks 23 Ноябрь 2023, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 6 тысяч раз и оно понравилось 135 людям.