Python-敲木鱼升级版（真手动版敲木鱼）

演示效果

需要安装的第三方库：
pip install pygame # 加载音乐
pip install pillow # 加载图片
pip install mediapipe # 判断手势的模型
pip install opencv # 模型要用来处理图形

建议有独显和摄像头的可以尝试！

想着升级一下玩法，只有真敲才能真积徳！于是找了个能判断手势的模型。

源码（开启摄像头后按Q退出）

import time
import tkinter
from tkinter import messagebox
import threading
import pygame # pip install pygame
from PIL import Image, ImageTk # pip install pillow
 
class window(tkinter.Tk):
        def __init__(self):
                super().__init__()
 
                # 初始化功德
                self.gongde=0
 
                # 准备音频
                self.pygame=pygame
                self.pygame.mixer.init()
                self.pygame.mixer.music.load('敲.mp3')
 
                # 准备图片
                self.qiaomuyutupian=ImageTk.PhotoImage(file='敲木鱼.jpg') # 转化为tkinter可以使用的图片
                self.qiaomuyutupian2=ImageTk.PhotoImage(file='敲木鱼2.jpg') # 转化为tkinter可以使用的图片
 
                # 启动界面
                self.base_top()
 
        def base_top(self):
                self.title('敲木鱼加功德')
                self.geometry('410x400')
                self.configure(bg='black')
 
                # 标签
                self.label1=tkinter.Label(self,text='积攒功德：'+str(self.gongde),font=('华文新魏',15),fg='white',bg='black',width=18)
                self.label1.place(x=100,y=70)
 
                # 按钮
                self.button1=tkinter.Button(self,image=self.qiaomuyutupian,relief='ridge',command=self.qiaomuyu)
                self.button1.place(x=100,y=100)
 
                # 按钮
                self.button2=tkinter.Button(self,text='互动',width=10,command=self.thread_hudong)
                self.button2.place(x=160,y=315)
 
                # 消息
                self.text1=tkinter.Text(self,width=10,height=5,bg='black',bd=0,foreground='white')
                self.text1.place(x=125,y=115)
 
        def showplus(self):
                # 文字浮动
                for i in range(4):
                        self.text1.insert('insert',' \n')
                else:
                        self.text1.insert('insert',' 功德 + 1')
                for i in range(5):
                        time.sleep(0.04)
                        self.text1.delete(1.0, 2.0)
 
                # 功德+1
                self.gongde=self.gongde+1
                self.label1.config(text='积攒功德：'+str(self.gongde))
 
        def changetupian(self):
                self.button1.config(image=self.qiaomuyutupian2)
                time.sleep(0.1)
                self.button1.config(image=self.qiaomuyutupian)
 
        def qiaomuyu(self):
                # 多线程启动解决延时，虽然延迟足够小，但为了更有效果
                th=threading.Thread(target=self.pygame.mixer.music.play)
                th.start()
 
                th2=threading.Thread(target=self.showplus)
                th2.start()
 
                th3=threading.Thread(target=self.changetupian)
                th3.start()
 
        def thread_hudong(self):
                th4=threading.Thread(target=self.hudong)
                th4.start()
 
                self.frame=tkinter.Frame(self,width=200,height=40,bg='white')
                self.frame.place(x=103,y=350)
 
                self.label2=tkinter.Label(self.frame,text='正在摄像头中，请稍等...',bg='white')
                self.label2.place(x=33,y=10)
 
        def hudong(self):
                import cv2
                import mediapipe as mp
 
                mp_hands = mp.solutions.hands
                hands = mp_hands.Hands()
                mp_drawing = mp.solutions.drawing_utils
 
                # coding:utf-8`
                cap = cv2.VideoCapture(0)  # 打开摄像头
                mark_one=0
                while True:
                        self.frame.destroy()
 
                        ret, frame = cap.read()  # 读取视频帧
                        if not ret:
                                break
                        image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)  # 转换颜色空间
                        results = hands.process(image)  # 手势识别
 
                        # 处理识别结果
                        if results.multi_hand_landmarks:
                                for hand_landmarks in results.multi_hand_landmarks:
                                        mp_drawing.draw_landmarks(
                                                frame,
                                                hand_landmarks,
                                                mp_hands.HAND_CONNECTIONS) # 用于指定地标如何在图中连接。
 
                                        for point in hand_landmarks.landmark:
                                                x = int(point.x * frame.shape[1])
                                                y = int(point.y * frame.shape[0])
                                                if y < 200:
                                                        mark_one=1
                                                if y > 400:
                                                        if 1 - mark_one == 0:
                                                                self.qiaomuyu()
                                                                mark_one=0
 
                                                cv2.circle(frame, (x, y), 5, (0, 255, 0), -1) # 画出关键点
 
                        cv2.imshow('Gesture Recognition', frame)  # 显示结果
                        if cv2.waitKey(1) & 0xFF == ord('q'):
                                break
 
                cap.release()
                cv2.destroyAllWindows()
 
if __name__ == '__main__':
        top=window()
        top.mainloop()