Python learning notes of the video face detection and recognition example tutorials

# -*- coding: utf-8 -*-
__author__ = "Seven."
__blog__ = "https://blog./"
import cv2
import os


# Saved video to detect faces and take screenshots
def CatchPICFromVideo(window_name, camera_idx, catch_pic_num, path_name):
 (window_name)

 # Video source
 cap = (camera_idx)

 # Tell OpenCV to use the face recognition classifier
 classfier = (()+"\\haarcascade\\haarcascade_frontalface_alt.xml")

 # The color of the border to be drawn after the face is recognized, in RGB format, color is an array that cannot be added or deleted.
 color = (0, 255, 0)

 num = 0
 while ():
 ok, frame = () # Read a frame of data
 if not ok:
  break

 grey = (frame, cv2.COLOR_BGR2GRAY) # Convert the current image to grayscale.

 # Face detection, 1.2 and 2 are the image scaling and the number of valid points to be detected respectively
 faceRects = (grey, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32))
 if len(faceRects) > 0: # Greater than 0 then face detected
  for faceRect in faceRects: # Frame each face individually
  x, y, w, h = faceRect

  # Save the current frame as an image
  img_name = "%s/%" % (path_name, num)
  # print(img_name)
  image = frame[y - 10: y + h + 10, x - 10: x + w + 10]
  (img_name, image, [int(cv2.IMWRITE_PNG_COMPRESSION), 9])

  num += 1
  if num > (catch_pic_num): # Exit the loop if the specified maximum number of saves is exceeded
   break

  # Draw rectangular boxes
  (frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 2)

  # Show how many face pictures are currently captured, so that you have an idea when you stand there to be photographed and don't have to wait in the dark.
  font = cv2.FONT_HERSHEY_SIMPLEX
  (frame, 'num:%d/100' % (num), (x + 30, y + 30), font, 1, (255, 0, 255), 4)

  # Exceeds the specified maximum number of saves to end the program
 if num > (catch_pic_num): break

 # Display image
 (window_name, frame)
 c = (10)
 if c & 0xFF == ord('q'):
  break

  # Release the camera and destroy all windows
 ()
 ()


if __name__ == '__main__':
 # 100 consecutive image cuts
 CatchPICFromVideo("get face", ()+"\\video\\kelake.mp4", 100, "E:\\VideoCapture")

# If getting a camera, change the parameter to 0.
cap = (0)