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Holistic Detection OpenCV Python With Source Code | OpenCV Python Projects with FULL Source Code
6K views · Jan 10, 2022
Holistic Detection OpenCV Python With Source Code
The Holistic Detection OpenCV Python was developed using Python OpenCV, This Python OpenCV Project With Source Code we are going to do HOLISTIC DETECTION with MediaPipe and OpenCV in Python. We are going to see the results from the pose and holistic that we have detected in a real-time camera.

πŸ”—COMPLETE SOURCE CODE: https://bit.ly/3HOPhSx

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πŸ“ŒSYSTEM INFORMATION:
An OpenCV Python Holistic Detection We are going to detect left and right hand, face mesh, and pose detection. MediaPipe has a lot of built-in customizable Machine Learning Solutions. 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 article.

What is OpenCV?
OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time images and videos while also boasting analytical capabilities. It supports the Deep Learning frameworks.

This Python OpenCV Project also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way, if you are new to python programming and you don’t know what would be the Python IDE to use, I have here a list of the Best Python IDE for Windows, Linux, Mac OS that will suit you. I also have here How to Download and Install the Latest Version of Python on Windows.

To start executing Holistic Detection OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm on your computer.

In this Article Holistic Detection, Live perception of simultaneous human pose, face landmarks, and hand tracking in real-time can enable various modern life applications: fitness and sports analysis, gesture control and sign language recognition augmented reality try-on and effects. It generates a total of 543 landmarks (33 pose landmarks, 468 face landmarks, and 21 hand landmarks per hand).

If you have any questions or suggestions about Holistic Detection OpenCV Python With Source Code, please feel free to leave a comment below.

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