Face Detection using Open Source Computer Vision Library in python(OpenCv), we will use OpenCv in detection of our face using a webcam.
OpenCV is built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.
You can download the required Cascade Classifier from here
Let’s get Started with our code:
import cv2 # Load the cascade face_cascade = cv2.CascadeClassifier('aman.xml') # To capture video from webcam. cap = cv2.VideoCapture(0) 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), (50, 50, 4), 10) # 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()
It will open a you camera and you will see that your face is detected by the camera.