Human Pose Estimation OpenCV Python With Source Code

Human Pose Estimation OpenCV Python With Source Code

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Human Pose Estimation OpenCV Python With Source Code

This Human Pose Estimation OpenCV Python was developed using Python OpenCV with Source Code, a Deep Learning Python Project using OpenCV.

In this article, we will focus on human pose estimation, where it is required to detect and localize the major parts/joints of the body ( e.g. shoulders, ankle, knee, wrist etc. ).

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 image and video while also boasting analytical capabilities. It supports the Deep Learning frameworks.

A OpenCV Python Human Pose is a general problem in Computer Vision where we detect the position and orientation of an object. This usually means detecting keypoint locations that describe the object.

In 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 the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you. I also have here How to Download and Install Latest Version of Python on Windows.

To start executing Human Pose Estimation OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm 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 the given source code below.

    First, download the given source code below and unzip the source code.
    Human Pose Estimation OpenCV download source code

  • Step 2: Import the project to your PyCharm IDE.

    Next, import the source code you’ve download to your PyCharm IDE.
    Human Pose Estimation OpenCV open project

  • Step 3: Run the project.

    last, run the project with the command “py main.py”
    Human Pose Estimation OpenCV run project

Installed Libraries

import cv2
import mediapipe as mp

Complete Source Code

import cv2
import mediapipe as mp

cap = cv2.VideoCapture(0)

mpPose = mp.solutions.pose
pose = mpPose.Pose()
mpDraw = mp.solutions.drawing_utils

while True:
    success,img = cap.read()
    if not success:
        break
    imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
    results = pose.process(imgRGB)

    mpDraw.draw_landmarks(img,results.pose_landmarks,mpPose.POSE_CONNECTIONS)

    cv2.imshow('Image',img)
    if cv2.waitKey(1) & 0xff==ord('q'):
        break

Output

Human Pose Estimation OpenCV Python Output
Human Pose Estimation OpenCV Python Output

Download the Source Code below

Anyway, if you want to level up your programming knowledge, especially Python OpenCV, try this new article I’ve made for you Best OpenCV Projects With Source Code For Beginners.

DOWNLOAD

Summary

This Project is the process of estimating the configuration of the body (pose) from a single, typically monocular, image. Background. 

Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years.

This Python OpenCV Project also includes a downloadable Python Project With Source Code for free.

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Inquiries

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