import cv2 import sys import logging as log import datetime as dt from time import sleep cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) log.basicConfig(filename='webcam.log',level=log.INFO) video_capture = cv2.VideoCapture(0) anterior = 0 while True: if not video_capture.isOpened(): print('Unable to load camera.') sleep(5) pass # Capture frame-by-frame ret, frame = video_capture.read() gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale( gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30) ) # Draw a rectangle around the faces for (x, y, w, h) in faces: cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2) if anterior != len(faces): anterior = len(faces) log.info("faces: "+str(len(faces))+" at "+str(dt.datetime.now())) # Display the resulting frame cv2.imshow('Video', frame) if cv2.waitKey(1) & 0xFF == ord('s'): check, frame = video_capture.read() cv2.imshow("Capturing", frame) cv2.imwrite(filename='saved_img.jpg', img=frame) video_capture.release() img_new = cv2.imread('saved_img.jpg', cv2.IMREAD_GRAYSCALE) img_new = cv2.imshow("Captured Image", img_new) cv2.waitKey(1650) print("Image Saved") print("Program End") cv2.destroyAllWindows() break elif cv2.waitKey(1) & 0xFF == ord('q'): print("Turning off camera.") video_capture.release() print("Camera off.") print("Program ended.") cv2.destroyAllWindows() break # Display the resulting frame cv2.imshow('Video', frame) # When everything is done, release the capture video_capture.release() cv2.destroyAllWindows()   1. Please explains in details per line about above coding face recognition with opencv+python? 2. How to make a correct coding with additional recognition lips or eyebrow beside face recognition with opencv+python?