Hand Landmark Detection OpenCV Python With Source Code

Hand Landmark Detection OpenCV Python With Source Code

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Hand Landmark Detection OpenCV Python With Source Code

The Hand Landmark Detection OpenCV Python was developed using Python OpenCV, In this Python Project With Source Code we are going to learn how to obtain hand landmarks from an web cam, using Python, MediaPipe and OpenCV.

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 Hand Landmark Detection, We will be using OpenCV to read the image and displaying it and MediaPipe to perform the hand detection and landmark estimation. In short, MediaPipe is a free and open-source framework that offers cross-platform, customizable Machine Learning solutions for live and streaming media.

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 Hand Landmark Detection OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm in your computer.

Hand Landmark Detection OpenCV Python With Source Code : Steps on how to run the project

Time needed: 5 minutes

These are the steps on how to run Hand Landmark Detection 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.
    Hand Landmark Detection 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.
    Hand Landmark Detection OpenCV open project

  • Step 3: Run the project.

    last, run the project with the command “py main.py”
    Hand Landmark Detection OpenCV run project

Installed Libraries

import cv2 
import mediapipe as mp

Complete Source Code

import cv2 
import mediapipe as mp 

cap = cv2.VideoCapture(0)

mpHands = mp.solutions.hands 
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils
while True:
    success,img = cap.read()
    imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)

    if results.multi_hand_landmarks:
        for handlandmark in results.multi_hand_landmarks:
            for id,lm in enumerate(handlandmark.landmark):
                print(id,lm) # lm produce output in ratio format
                h,w,_ = img.shape
                cx,cy = int(lm.x*w),int(lm.y*h)
                cv2.circle(img,(cx,cy),4,(0,0,255),cv2.FILLED)
                
            mpDraw.draw_landmarks(img,handlandmark,mpHands.HAND_CONNECTIONS)

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

Output

Hand Landmark Detection OpenCV Python Output
Hand Landmark Detection OpenCV Python Output

Download Source Code below

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Summary

Hand detection is the process of finding the joints on the fingers as well as the finger-tips in a given image. It is similar to finding keypoints on Face or Body. but, different from Hand Detection since in that case, we treat the whole hand as one object.

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

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Inquiries

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