Загрузка...

CPU Real Time face detection with Python

Is it possible to implement real-time performance object detection models without a GPU? MediaPipe face detection is a proof of concept that makes it possible to run single-class face detection in real time on almost any CPU.

This tutorial will teach us to detect the faces in the image, video, or webcam stream using the MediaPipe library. Plenty of similar algorithms and models could perform the same task. Here we will walk through the detection pipeline with the help of the Mediapipe library and undergo a step-by-step code explanation.

Before moving ahead, don't confuse face detection with facial landmark detection. Face detection detects your entire face and draws a rectangular box. Facial landmarks detect facial features, such as the nose, eyes, mouth, and ears. In this tutorial, we'll catch both simultaneously because the MediaPipe face detection algorithms offer both in one model.

Text version tutorial: https://pylessons.com/face-detection
GitHub code: https://github.com/pythonlessons/background_removal

#opencv #python #tensorflow #machine learning

Видео CPU Real Time face detection with Python канала Python Lessons
Яндекс.Метрика
Все заметки Новая заметка Страницу в заметки
Страницу в закладки Мои закладки
На информационно-развлекательном портале SALDA.WS применяются cookie-файлы. Нажимая кнопку Принять, вы подтверждаете свое согласие на их использование.
О CookiesНапомнить позжеПринять