These days face detection is a very common problem in various fields such as security, surveillance, etc. Face detection is also known as facial detection. It is a computer vision technology that is used to find and identify human faces in digital images. Today we’ll build a Face Detection and Counting Project using OpenCV and MediaPipe framework in python.
What is OpenCV? OpenCV is a real-time Computer Vision framework written in C/C++. It is used in many image processing and computer vision tasks.
What is the MediaPipe framework? MediaPipe is an open-source cross-platform framework for customizable ML solutions developed by Google. It is very lightweight as well as very accurate. MediaPipe comes with some pre-trained ML solutions such as face detection, pose estimation, object detection, etc.
Prerequisites for OpenCV Face Detection and Counting Project:
- Python – 3.x (we used Python 3.8.8 in this project)
- OpenCV – 4.5
Run “pip install opencv-python” to install OpenCV. 3. MediaPipe – 0.8.5
Run “pip install mediapipe” to install MediaPipe.