Hello there! Welcome to another blog. In this blog you are going to learn to detect iris using OpenCv python. Here is the video in case you missed it. So, let's get started. We will start by importing the necessary libraries. import cv2 import numpy as np Now, let us import the face and eye classifier files and set the camera resolution as follows. eye = cv2.CascadeClassifier( 'haarcascade_eye.xml' ) face = cv2.CascadeClassifier( 'haarcascade_frontalface_alt.xml' ) Kernal = np.ones(( 3 , 3 ) , np.uint8) #Declare kernal for morphology cap = cv2.VideoCapture( 0 ) cap.set(cv2.CAP_PROP_FRAME_WIDTH , 320 ) ##Set camera resolution cap.set(cv2.CAP_PROP_FRAME_HEIGHT , 240 ) In a while loop let us capture an image frame, flip it(in case your camera captures inverted images) and convert it into a gray scale image. ret , frame = cap.read() ##Read image frame frame = cv2.flip(frame , + 1 ) ##Flip the image in case your camera
In this blog, you will get to learn a lot about computer vision. The blog posts are written in such a way that even a newbie can understand. This blog tries to clear the most fundamental concepts of image processing and computer vision.