Real-Time Right Eye Detection OpenCV Python With Source Code

Real-Time Right Eye Detection OpenCV Python With Source Code

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Real-Time Right Eye Detection OpenCV Python With Source Code

The Real-Time Right Eye Detection OpenCV Python was developed using Python OpenCV, in this article the system can detect the eye of a human in real-time using a web camera.

Right Eye Detection using OpenCV Python’s most successful application of eye detection would probably be photo taking.

When you take a photo of your friends, the eye detection algorithm built into your digital camera detects where the eyes are and adjusts the focus accordingly.

This Code Project also includes a downloadable 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 don’t know what Python IDE is and its usage, I have here a list of the Best Python IDE for Windows, Linux, and 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 Right Eye Detection OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm on your computer.

Real-Time Right Eye 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 Real-Time Right Eye 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.
    left eye Detection download source code

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

    Next, import the source code you’ve downloaded to your PyCharm IDE.
    left eye Detection open project

  • Step 3: Run the project.

    Lastly, run the project with the command “py main.py”
    left eye Detection run project

Installed Libraries

import cv2

Complete Source Code

import cv2

# Load the cascade
face_cascade = cv2.CascadeClassifier('haarcascade_righteye_2splits.xml')
# To capture video from webcam.
cap = cv2.VideoCapture(0)
# To use a video file as input
# cap = cv2.VideoCapture('filename.mp4')
while True:
    # Read the frame
    _, img = cap.read()
    # Convert to grayscale
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    # Detect the faces
    faces = face_cascade.detectMultiScale(gray, 1.1, 4)
    # Draw the rectangle around each face
    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
    # Display
    cv2.imshow('img', img)
    # Stop if escape key is pressed
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break
# Release the VideoCapture object
cap.release()

Output:

Download the Source Code below

DOWNLOAD

Summary

In this article, Right Eye Detection OpenCV Python’s most successful application of eye detection would probably be photo taking.

When you take a photo of your friends, the eye detection algorithm built into your digital camera detects where the eyes are and adjusts the focus accordingly.

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Inquiries

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