A beginner-friendly step-by-step guide to building a real-time face detection system running at 30 FPS on CPU using MediaPipe and Python. Covers environment setup, webcam capture with OpenCV, configuring the MediaPipe FaceDetection model, extracting bounding box and landmark data, converting normalized coordinates to pixel coordinates, and drawing results on frames. Complete source code is provided.
Table of contents
Bit of about mediapipeSetting up a Dev EnvironmentLet’s explore the Face detection systemExtracting DataGet Asadullah Dal ’s stories in your inboxFinal thoughts.Mlearning.ai Submission Suggestions336 Impressions