Real-Time Eye Detection OpenCV Python With Source Code
The Real-Time Eye Detection OpenCV Python was developed using Python Detection OpenCV, this Eye Tracking OpenCV Python, we’re going to discuss object detection with Haar Cascades. We’ll do eye detection to start. In order to do object recognition/detection with cascade files, you first need cascade files. For the extremely popular tasks, these already exist. Detecting things like faces, cars, smiles, eyes, and license plates for example are all pretty prevalent.
A Eye Detection Using OpenCV Python you will learn about detecting a human eye with the feature mappers knows as haar cascades. Here in the project, we will use the python language along with the OpenCV library for the algorithm execution and image processing respectively. The haar cascades we are going to use in the project are pretrained and stored along with the OpenCV library as haarcascade_eye_default.xml
The project develops a basic understanding of the systems such as driver drowsiness detection, eye detection, face detection and also the haar cascades usage with the OpenCV library.
In this Project also includes a downloadable Detection OpenCV Python 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 creating a Real-Time Eye Detection OpenCV Python, make sure that you have installed Python in your computer.
Real-Time Eye Detection OpenCV Python : Prerequisites
Before starting with this Python project with source code, you should be familiar with the computer vision library of Python that is OpenCV.
OpenCV are the Python package that are necessary for this project in Python. To install this, simply run this pip command in your terminal:
- pip install opencv-python
Real-Time Eye Detection OpenCV Python With Source Code: Steps on how to build the project
Time needed: 5 minutes.
These are the steps on how to build Real-Time Eye Detection OpenCV Python With Source Code
- Step 1: Download and unzip the zip file.
The project folder contains 2 files:
1.) eye_detection.py – a main python file to detect the eye.
2.) haarcascade_eye.xml – a file that load cascade from the camera.
- Step 2: Creating a code for eye detection.
Next, create a code that can detect human eye and name it as “eye_detection.py“.
- Step 3: Run eye_detection.py.
The beginner Python project is now complete, you can run the Python file from the command prompt. Make sure to give an camera path using ‘-c’ argument.
Real-Time Eye Detection OpenCV Python : Complete Source Code
# Load the cascade
face_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
# To capture video from webcam.
cap = cv2.VideoCapture(0)
# To use a video file as input
# cap = cv2.VideoCapture('filename.mp4')
# 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)
# Stop if escape key is pressed
k = cv2.waitKey(30) & 0xff
# Release the VideoCapture object
Real-Time Eye Detection OpenCV Python : Output
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Download Source Code below
In this tutorial you will learn about detecting a blink of human eye with the feature mappers knows as haar cascades. Here in the project, we will use the python language along with the OpenCV library for the algorithm execution and image processing respectively. The haar cascades we are going to use in the project are pretrained and stored along with the OpenCV library as haarcascade_eye.xml files. The project develops a basic understanding of the systems such as driver eye detection, face detection and also the haar cascades usage with the OpenCV library.
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