Real-Time Pixelated Face Blurring and Anonymizing /w OpenCV in Python

preview_player
Показать описание
You are going to watch a real-time implementation of face blurring and anonymizing in this video as Google does in its street view. We basically feed video frames to mtcnn library to detect faces. Here, we can alternatively adopt haar cascade, ssd or dlib to detect faces but mtcnn is favorite here.

Then we called opencv's gaussian blur function to blur and anonymize faces. The trick is here that we feed small areas of the detected face to gaussian blur instead of all face. This is the reason of pixelated appearance.

Want more? Connect with me here:

If you do like my videos, you can support my effort with your financial contributions on
Рекомендации по теме
Комментарии
Автор

I'd do anything for this forbidden knowledge... anything but learn Python in order follow the tutorial! Thanks for the Deepfake Library resource; but I'm no coder. I really feel I won't be able to implement this on my own. Thank you for all your fastidious details within your website/blog.

sudoDavid
Автор

Hey there will you please guide us on how we can blur only specific know faces from a real-time video!?

izenish
Автор

kaynak kodlari nerede paylasiyorsunuz acaba. güzel video olmus adeta bir filmin fragmani niteliginde

muratkacmaz
join shbcf.ru