OpenCV基础HSV颜色空间*args与**kwargs滑动条传参问题

CV_EXPORTS int createTrackbar(const string& trackbarname, const string& winname,
                              int* value, int count,
                              TrackbarCallback onChange = 0,
                              void* userdata = 0);

typedef void (CV_CDECL *TrackbarCallback)(int pos, void* userdata);

# 3、创建h、s、v滚动条
    cv2.createTrackbar('hmin', 'h', 12, 179, Renew)
    cv2.createTrackbar('hmax', 'h', 37, 179, Renew)
    cv2.createTrackbar('smin', 's', 12, 179, Renew)
    cv2.createTrackbar('smax', 's', 37, 179, Renew)
    cv2.createTrackbar('vmin', 'v', 12, 179, Renew)
    cv2.createTrackbar('vmax', 'v', 37, 179, Renew)

    void inRange(InputArray src, InputArray lowerb,
                              InputArray upperb, OutputArray dst);

# 1、获取滑动条反馈值
    hmin = cv2.getTrackbarPos('hmin', 'h')
    hmax = cv2.getTrackbarPos('hmax', 'h')
    smin = cv2.getTrackbarPos('smin', 's')
    smax = cv2.getTrackbarPos('smax', 's')
    vmin = cv2.getTrackbarPos('vmin', 'v')
    vmax = cv2.getTrackbarPos('vmax', 'v')
 
    # 2、设置阈值（inRange：在阈值(min,max)之内，设置为白色；在阈值之外，设置为黑色）
    h_thresh = cv2.inRange(np.array(h), np.array(hmin), np.array(hmax))
    s_thresh = cv2.inRange(np.array(s), np.array(smin), np.array(smax))
    v_thresh = cv2.inRange(np.array(v), np.array(vmin), np.array(vmax))

# 3、获取感兴趣二值（与运算）
    interest = cv2.bitwise_and(h_thresh, cv2.bitwise_and(s_thresh, v_thresh))

# HSV颜色空间与滑动条（*args && **args）
import cv2
import numpy as np
# 回调函数
# *args：传入参数未知，且不需要知道参数名称
# **args：传入参数未知，但需要知道参数名称
def HSV_CallBack(*args):
    # 1、获取滑动条反馈值
    hmin = cv2.getTrackbarPos('hmin', 'h_binary')
    hmax = cv2.getTrackbarPos('hmax', 'h_binary')
    smin = cv2.getTrackbarPos('smin', 's_binary')
    smax = cv2.getTrackbarPos('smax', 's_binary')
    vmin = cv2.getTrackbarPos('vmin', 'v_binary')
    vmax = cv2.getTrackbarPos('vmax', 'v_binary')
    # 2、设置阈值（inRange：在阈值(min,max)之内，设置为白色；在阈值之外，设置为黑色）
    h_binary = cv2.inRange(np.array(h), np.array(hmin), np.array(hmax))
    s_binary = cv2.inRange(np.array(s), np.array(smin), np.array(smax))
    v_binary = cv2.inRange(np.array(v), np.array(vmin), np.array(vmax)) 
    # 3、获取感兴趣二值（与运算）
    binary = cv2.bitwise_and(h_binary, cv2.bitwise_and(s_binary, v_binary)) 
    # 4、显示
    cv2.imshow('h_binary', h_binary)
    cv2.imshow('s_binary', s_binary)
    cv2.imshow('v_binary', v_binary)
    cv2.imshow('binary', binary) 
def Show_HSV():
    global hsv, h, s, v
    # 0、创建窗口
    cv2.namedWindow('h_binary')
    cv2.namedWindow('s_binary')
    cv2.namedWindow('v_binary')
    # 1、获取hsv图片
    hsv = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)
    cv2.imshow('hsv', hsv)
    # 2、获取h、s、v三通道图片
    h, s, v = cv2.split(hsv)
    # 3、创建h、s、v滚动条
    cv2.createTrackbar('hmin', 'h_binary', 12, 179, HSV_CallBack)
    cv2.createTrackbar('hmax', 'h_binary', 37, 179, HSV_CallBack)
    cv2.createTrackbar('smin', 's_binary', 12, 179, HSV_CallBack)
    cv2.createTrackbar('smax', 's_binary', 37, 179, HSV_CallBack)
    cv2.createTrackbar('vmin', 'v_binary', 12, 179, HSV_CallBack)
    cv2.createTrackbar('vmax', 'v_binary', 37, 179, HSV_CallBack)
    HSV_CallBack()
if __name__ == '__main__':
    global img
    img = cv2.imread('Resource/test.jpg')
    cv2.imshow('img', img)
    # 显示h、s、v
    Show_HSV() 
    cv2.waitKey(0)