手势识别音乐播放器python

以下是一个使用手势识别控制音乐播放器的Python示例：

import cv2
import numpy as np
import pyautogui
import math

# 定义肤色范围
lower_skin = np.array([0, 20, 70], dtype=np.uint8)
upper_skin = np.array([20, 255, 255], dtype=np.uint8)

# 初始化摄像头
cap = cv2.VideoCapture(0)

while True:
    # 读取摄像头帧
    ret, frame = cap.read()
    
    # 镜像翻转帧
    frame = cv2.flip(frame, 1)
    
    # 转换颜色空间为HSV
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    
    # 提取肤色区域
    mask = cv2.inRange(hsv, lower_skin, upper_skin)
    
    # 进行腐蚀和膨胀操作，去除噪声
    mask = cv2.erode(mask, None, iterations=2)
    mask = cv2.dilate(mask, None, iterations=2)
    
    # 查找轮廓
    contours, _ = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    
    if len(contours) > 0:
        # 找到最大的轮廓
        max_contour = max(contours, key=cv2.contourArea)
        
        # 计算最大轮廓的凸包
        hull = cv2.convexHull(max_contour)
        
        # 计算凸包的缺陷
        defects = cv2.convexityDefects(max_contour, cv2.convexHull(max_contour, returnPoints=False))
        
        if defects is not None:
            # 绘制轮廓和凸包
            cv2.drawContours(frame, [max_contour], 0, (0, 255, 0), 2)
            cv2.drawContours(frame, [hull], 0, (0, 0, 255), 3)
            
            # 计算手指数量
            finger_count = 0
            for i in range(defects.shape[0]):
                s, e, f, d = defects[i, 0]
                start = tuple(max_contour[s][0])
                end = tuple(max_contour[e][0])
                far = tuple(max_contour[f][0])
                
                # 计算手指之间的距离
                a = math.sqrt((end[0] - start[0])**2 + (end[1] - start[1])**2)
                b = math.sqrt((far[0] - start[0])**2 + (far[1] - start[1])**2)
                c = math.sqrt((end[0] - far[0])**2 + (end[1] - far[1])**2)
                angle = math.acos((b**2 + c**2 - a**2) / (2*b*c)) * 180 / math.pi
                
                # 如果角度小于90度，认为是手指
                if angle < 90:
                    finger_count += 1
            
            # 根据手指数量执行相应操作
            if finger_count == 0:
                # 播放五指，音量放大
                pyautogui.press('volumeup')
            elif finger_count == 1:
                # 握拳，音量放小
                pyautogui.press('volumedown')
            elif finger_count == 2:
                # 中指，暂停
                pyautogui.press('playpause')
            elif finger_count == 3:
                # 手指6，继续播放
                pyautogui.press('playpause')
            elif finger_count == 4:
                # 手指向上，上一首
                pyautogui.press('prevtrack')
            elif finger_count == 5:
                # 手指向下，下一首
                pyautogui.press('nexttrack')
            elif finger_count == 10:
                # 双手和十，退出
                break
    
    # 显示帧
    cv2.imshow('Gesture Recognition', frame)
    
    # 按下'q'键退出循环
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# 释放摄像头并关闭窗口
cap.release()
cv2.destroyAllWindows()

请注意，此示例仅提供了一个基本的手势识别音乐播放器的框架，具体的手势和操作可以根据实际需求进行修改和扩展。