Controlling Live Video Settings By Hand Gestures | Python | Mediapipe | OpenCV (1/10)

This is a demo video of the first application out of the 10 from our upcoming course Computer Vision for Building Cutting Edge Applications. In this application, you will learn how to change the Brightness, Saturation, Contrast, and Gamma Correction of a video in real-time utilizing your hand gestures. The course will contain a detailed documented Jupyter Notebook in which we have explained the whole process of creating this whole application in detail.
If you’re interested in learning exactly how I built this, and a line by line breakdown of how it all works, then make sure to join my course: bleedaiacademy...
#handslandmarksdetection #handgestures #brightness #contrast #saturation #gammacorrection #augmentedreality #mediapipe #opencv #python

[@reallion6965]

Complete lecture video please

[@muhammadumer7539]

Well done Taha bhai

[@BleedAIAcademy]

Thanks

[@Muhammad_Bilal_m.b]

👍👍

[@wgalloPT]

I need help. Can I connect the two fingers just like you did above and do the same with the feet?

[@BleedAIAcademy]

Hi, this particular model is trained for detecting hand landmarks, if you find a feet landmark detection model then you should be able to plugin the same logic to achieve the results you want.