Human Pose Estimation OpenCV Python (HPE) – is a method of recognizing and classifying the human body’s joints.

Essentially, it’s a method of capturing a collection of coordinates for each joint (arm, head, torso, etc.) that may be used to characterize a person’s stance. A pair is the relationship between these two places.

Importance of Human Pose Estimation Python

Human pose estimation is one of the fundamental building blocks for marker-less motion capture (MoCap) technology, allowing for higher level reasoning in the context of human-computer interaction and activity recognition.

Human Pose Estimation In Python: Project Details and Technology

Project Name:	Human Pose Estimation Project In Python With Source Code
Abstract	Human Pose Estimation Python OpenCV is a method of recognizing and classifying the human body’s joints.
Language/s Used:	Python Deep Learning
Python version (Recommended):	3.8/3.9
Database:	None
Type:	Desktop Application
Developer:	Source Code Hero
Updates:	0

Human Pose Estimation Project In Python – Project Information

Human Pose Estimation OpenCV Python: About the project

This Human Pose Estimation OpenCV Python was created with Python OpenCV in this Python Project With Source Code, which is a Deep Learning based Python Project that uses OpenCV.

In this post, we’ll look into human position estimation, which requires detecting and localizing the body’s primary sections and joints ( e.g. shoulders, ankle, knee, wrist etc. ).

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

To start executing a Human Pose Estimation OpenCV Python With Source Code, make sure that you have installed Python on your computer.

Human Pose Estimation OpenCV Python With Source Code: Steps on how to run the project

Time needed: 5 minutes

These are the steps on how to run Human Pose Estimation OpenCV Python With Source Code

Step 1: Download Source Code
First, download the provided source code below.
Step 2: Extract File
Next, after the download finished extract the zip file.
Step 3: Import the project to your PyCharm IDE.
Next, import the source code you’ve download to your PyCharm IDE.
Step 4: Install all Libraries.
Next, install all libraries given below.
Step 5: Open cmd.
Next, click the folder directory of the project and type cmd.
Step 6: Run Project.
Lastly, run the project with the command “py main.py”