opencv——实战（一）_opencv测试用图片

准备

1. python环境
2. pycharm编译器
3. opencv库安装

实战

1. 测试用图：
   
   
2. 代码实现

import cv2 as cv
import numpy as np


card = cv.imread("D:/pics/card.png")
num = cv.imread("D:/pics/num.png")


# 命名窗口并打开图像
def show_image(win_name, image_src):
    cv.namedWindow(win_name, cv.WINDOW_AUTOSIZE)  # 命名窗口
    cv.imshow(win_name, image_src)  # 显示窗口


# 字模预处理
def num_preInit():
    show_image("num", num)

    # 转换为灰度图,并展示
    numGray = cv.cvtColor(num, cv.COLOR_BGR2GRAY)

    # 二值化，10为阈值,THRESH_BINARY_INV：反转二值
    ret, num2Value = cv.threshold(numGray, 10, 255, cv.THRESH_BINARY_INV)

    # 对字模轮廓检测:cv.RETR_EXTERNAL只检测外轮廓
    contours, hierarchy = cv.findContours(num2Value, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
    cv.drawContours(num, contours, -1, (0, 0, 255), 3)

    # 挖出各个字模
    single_num = {
   }
    minBox = [cv.boundingRect(c) for c in contours] # 取最小外接矩形
    nsize =  len(minBox)
    for i in 
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