cv2手势动态识别

本篇文章主要介绍使用cv2来实现手势的动态识别。

下面是示例代码：

import cv2
import numpy as np
capture = cv2.VideoCapture(0)
while capture.isOpened():
    ret, frame = capture.read()
    cv2.imshow("frame", frame)
    # 中值滤波，去除椒盐噪声
    dst = cv2.medianBlur(frame, 5)
    # 转换到HSV颜色空间
    dst_hsv = cv2.cvtColor(dst, cv2.COLOR_RGB2HSV)
    # 对HSV空间进行量化，得到2值图像，亮的部分为手的形状
    dst_temp1 = cv2.inRange(dst_hsv, (0, 30, 30), (40, 170, 256))
    dst_temp2 = cv2.inRange(dst_hsv, (156, 30, 30), (180, 170, 256))
    mask = np.array([frame.shape[1], frame.shape[0]])
    mode = cv2.bitwise_or(dst_temp1, dst_temp2, mask)
    # 形态学操作，去除噪声，并使手的边界更加清晰
    d = cv2.erode(mode, (3, 3))
    d = cv2.morphologyEx(d, cv2.MORPH_OPEN, (3, 3))
    d = cv2.dilate(d, (3, 3))
    d = cv2.morphologyEx(d, cv2.MORPH_