Lightning Fast Face Detection on CPU: MediaPipe and OpenCV Python

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In this video 📝 we are going to create a face detector with MediaPipe and OpenCV in Python. We are going to see the results from the face detection and do some customization to it so we can both show the bounding box, different features in the face, and the confidence score. MediaPipe has a lot of built-in customizable Machine Learning Solutions that we are going to take a look at in the upcoming videos. MediaPipe is the newest and fastest within machine learning solutions and can be run on common hardware which we are going to see throughout this tutorial.

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Tags:
#FaceDetection #OpenCV #MediaPipe #ComputerVision #MachineLearning

[NicolaiAI]

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[pademo]

Even though I just found this tutorial 2 years later it is excellent. Very well explained. Thank you!

[K.etanak]

This is really helpful.I really appreciate this video.

[sumanthnarem]

Sir, how to do this for hand detection...

[shwetapatil]

Nice tutorial. After detecting the face, can we also recognize it later using a media pipe?

[hakankosebas]

ERROR: Could not find a version that satisfies the requirement mediapipe (from versions: none)
ERROR: No matching distribution found for mediapipe
I got this error when I write 'pip install mediapipe'

[khaledcharaabi]

Hey, thank you for this tutorial ! Can u please show us how to save the detected faces in JPG form ? I want to use them for face recognition !

[nandinisangolgi]

Hi Thanks for the useful content. Can you please show how can we save the detected object in jpg or any other format? is it possible here?

[coiwcollege]

What's the difference between connections and landmarks?

[Mieu]

are you able to not have the dots show