如何限制使用pynput按下的键答案

【问题标题】：How to limit the keys pressed using pynput如何限制使用pynput按下的键
【发布时间】：2021-01-08 03:40:19
【问题描述】：

我已经编写了一个代码来使用面部检测来刺激游戏。我找到了脸部的中心，在它移动时，我按下了带有 pynput 库的键。该代码运行良好，但只要检测到多次按下键盘键的点的移动，这只是一个小问题。我想将按下的键限制为 1。

'''

import cv2
import numpy as np
from pynput.keyboard import Key, Controller
import time

keyboard = Controller()

wc = cv2.VideoCapture(0)
time.sleep(2)

for i in range(40):
    ret, img = wc.read()

img = cv2.flip(img,1)
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(imgGray, 1.1, 4)
for (x, y, w, h) in faces:
   cv2.rectangle(img, (x,y), (x + w, y + h), (255, 0, 0), 2)
centre = [int((x + w + x)/2), int((y + h + y)/2)]
    


faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
wc = cv2.VideoCapture(0)
    
# Read until video is completed
while(wc.isOpened()):
  # Capture frame-by-frame
  ret, img = wc.read()
  img = cv2.flip(img,1)
  if ret == True:
    
    imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(imgGray, 1.1, 4)
    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x,y), (x + w, y + h), (255, 0, 0), 2)
    centre_new = [int((x + w + x)/2), int((y + h + y)/2)]
    cv2.circle(img, (centre_new[0], centre_new[1]), 0, (0,0,255), 5)
    
    if  centre_new[0] - centre[0] > 100 : 
        keyboard.press(Key.right)
        keyboard.release(Key.right)
        print('right')

    if  centre_new[0] - centre[0] < -100 : 
        keyboard.press(Key.left)
        keyboard.release(Key.left)
        print('left')

    if  centre_new[1] - centre[1] < -100 : 
        keyboard.press(Key.up)
        keyboard.release(Key.up)
        print('up') 
    
    if  centre_new[1] - centre[1] > 100 : 
        keyboard = Controller()
        keyboard.press(Key.down)
        keyboard.release(Key.down)
        print('down')

    # Display the resulting frame
    cv2.imshow('Face',img)

    # Press Q on keyboard to  exit
    if cv2.waitKey(1) & 0xFF == ord('q'):
      break
  
  # Break the loop
  else: 
    break

# When everything done, release the video capture object
wc.release()
# Closes all the frames
cv2.destroyAllWindows()

'''

我得到这样的输出：

''' 向上向上向上向上向上向上向上正确的正确的正确的正确的正确的正确的正确的正确的正确的向上向上向上向上向上

'''

【问题讨论】：

另请注意，将img = cv2.flip(img, 1) 放在if ret: 之后是有意义的

标签： python opencv computer-vision face-detection pynput

【解决方案1】：

定义一些主区域，面部应该返回以区分一个击键和另一个击键，并使用标志来观察它。这是你要找的吗？

keystroke_zone = 100
home_zone = keystroke_zone - 10  # or whatever smaller than 
is_home = True

while(wc.isOpened()):

    ...

    if is_home:
        if centre_new[0] - centre[0] > keystroke_zone : 
            keyboard.press(Key.right)
            keyboard.release(Key.right)
            print('right')
            is_home = False

        if centre_new[0] - centre[0] < -keystroke_zone : 
            keyboard.press(Key.left)
            keyboard.release(Key.left)
            print('left')
            is_home = False

        if centre_new[1] - centre[1] < -keystroke_zone : 
            keyboard.press(Key.up)
            keyboard.release(Key.up)
            print('up')
            is_home = False

        if centre_new[1] - centre[1] > keystroke_zone : 
            keyboard = Controller()
            keyboard.press(Key.down)
            keyboard.release(Key.down)
            print('down')
            is_home = False
    else:
        if abs(centre_new[0] - centre[0]) < home_zone or\
                abs(centre_new[1] - centre[1]) < home_zone:
            is_home = True

【讨论】：

明白。谢谢。