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Face Detection using Mediapipe. Full explanation tutorial using Python
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In this video, we are going to implement the full face detection feature of Mediapipe using Python. Detailed explanation of bounding boxes and landmarks are given in the video. The code is written from scratch in python and every bit is explained.
I have shown how to use Mediapipe Face detection for both images and video.
The video starts with showing the showing you how to install mediapipe. The video also goes on explain the important functions that Mediapipe offers.
I also show you how to only show the bounding box in the video leaving out the landmarks and only print the confidence score along with it in just a few lines of code.
I then explain how the landmarks are interpreted and what do they mean and how can we connect them to the real image dimensions. The landmarks like nose_tip, left ear, right ear, left eye and right are the landmarks that Mediapipe face detection gives.
Subscribe to my my channel:
The code is also made available in Github which you can access by typing Datum Coding face Detection mediapipe.
I have shown how to use Mediapipe Face detection for both images and video.
The video starts with showing the showing you how to install mediapipe. The video also goes on explain the important functions that Mediapipe offers.
I also show you how to only show the bounding box in the video leaving out the landmarks and only print the confidence score along with it in just a few lines of code.
I then explain how the landmarks are interpreted and what do they mean and how can we connect them to the real image dimensions. The landmarks like nose_tip, left ear, right ear, left eye and right are the landmarks that Mediapipe face detection gives.
Subscribe to my my channel:
The code is also made available in Github which you can access by typing Datum Coding face Detection mediapipe.
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