Python+Qt指纹识别算法_指纹识别编程-优快云博客

本文链接：https://blog.youkuaiyun.com/alicema1111/article/details/139380049

程序示例精选
Python+Qt指纹识别算法
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前言

这篇博客针对《Python+Qt指纹识别算法》编写代码，代码整洁，规则，易读。学习与应用推荐首选。

运行结果

文章目录

一、所需工具软件
二、使用步骤
1. 主要代码
2. 运行结果
三、在线协助

一、所需工具软件

1. Python
2. Pycharm

二、使用步骤

主要代码如下（示例）：


# coding:utf-8
import sys
#从转换的.py文件内调用类
import cv2
from PyQt5 import QtWidgets
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets import QApplication, QWidget
from PyQt5.uic import loadUi
import os
import time,PIL
from PIL import ImageGrab
from PIL import Image
import numpy as np
from PIL import Image, ImageDraw, ImageFont
class myWin(QtWidgets.QMainWindow,Ui_MainWindow):

    def __init__(self):
        super(myWin, self).__init__()
        #self.ui = loadUi('untitled.ui')
        self.setupUi(self)
        self.pushButton.clicked.connect(self.openFileButton
       self.pushButton_3.setStyleSheet(open('style/style_pushButton_3_arrow_left.css').read())

        self.pushButton.setStyleSheet(open('style/style_pushButton1.css').read())
        
self.label.setStyleSheet(open('style/style_label_photo_window.css').read())
        self.label.setText("")
        self.label_2.setStyleSheet(open('style/style_label_photo_window.css').read())
        self.label_2.setText("")
        self.label_4.setStyleSheet(open('style/style_label_photo_window.css').read())
        self.label_4.setText("")
        self.label_5.setStyleSheet(open('style/style_label_photo_window.css').read())
        self.label_5.setText("")

        self.label_3.setStyleSheet(open('style/style_label_title.css').read())
        self.label_3.setText("指纹识别")

        # self.label_4.setStyleSheet('color:white')
        # self.label_5.setStyleSheet('color:white')

    def openFileButton(self):
        imgName, imgType  = QFileDialog.getOpenFileName(self,"打开文件","./waitRecognPhoto_pass","files(*.*)")
        global imgOpen
        global imgCommon

        imgOpen = cv2.imread(imgName)
        cv2.imwrite(r"temp/aa.jpg", imgOpen)
        imgCommon=imgOpen
        height, width, pixels = imgOpen.shape
        print("height",height)
        print("width",width )
        print("label_2.height()", self.label.height())
        print("label_2.width()",self.label.width())

        if width>(self.label.width()):
            rheight=self.label.height()
            rwidth=(self.label.height()*width)/height
            print("1")
        elif height>(self.label.height()):
            rwidth=(self.label.height()*width)/height
            rheight=self.label.height()
            print("2")
        elif ((self.label.height())-height)<((self.label.width())-width):
            rwidth=(self.label.height()*width)/height
            rheight=self.label.height()
            print("3")
        else:
            rheight = height
            rwidth = width

        print("rheight",rheight)
        print("rwidth",rwidth )

        frame = cv2.resize(imgOpen, (int(round(rwidth,0)), int(round(rheight,0))))
        imgOpen = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)  # opencv读取的bgr格式图片转换成rgb格式
        _image = QtGui.QImage(imgOpen[:], imgOpen.shape[1], imgOpen.shape[0], imgOpen.shape[1] * 3, QtGui.QImage.Format_RGB888)
        jpg_out = QtGui.QPixmap(_image).scaled(rwidth, rheight) #设置图片大小
        self.label.setPixmap(jpg_out) #设置图片显示

if __name__=="__main__":
    QApplication.setAttribute(Qt.AA_EnableHighDpiScaling)
    app=QtWidgets.QApplication(sys.argv)
    Widget=myWin()
    Widget.showMaximized();
    Widget.show()
    sys.exit(app.exec_())