Face Detection

  Code

                        
                            import numpy as np
                            import cv2
                            faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
                            cap = cv2.VideoCapture(0)
                            cap.set(3,640) # set Width
                            cap.set(4,480) # set Height
                            while True:
                            ret, img = cap.read()
                            img = cv2.flip(img, 1)
                            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
                            faces = faceCascade.detectMultiScale(
                            gray,
                            scaleFactor=1.2,
                            minNeighbors=5,
                            minSize=(20, 20)
                            )
                            for (x,y,w,h) in faces:
                            cv2.rectangle(img,(x,y),(x+w,y+h),(255,100,0),2)
                            roi_gray = gray[y:y+h, x:x+w]
                            roi_color = img[y:y+h, x:x+w]
                            cv2.imshow('video',img)
                            k = cv2.waitKey(30) & 0xff
                            if k == 27: # press 'ESC' to quit
                            break
                            cap.release()
                            cv2.destroyAllWindows()