código de interface
Esta parte é gerada diretamente. Para obter detalhes, consulte meus outros blogs. A
interface geral é a seguinte. O meio "IMG SHOW" é usado para exibir as imagens no banco de dados posteriormente. Os dois botões são para abrir as imagens e armazenar no banco de dados e do banco de dados. leia a imagem para exibição
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Finger_UI.ui'
#
# Created by: PyQt5 UI code generator 5.15.9
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(773, 529)
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.pushButton_OpenFile = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_OpenFile.setGeometry(QtCore.QRect(150, 300, 131, 41))
self.pushButton_OpenFile.setObjectName("pushButton_OpenFile")
self.label_ShowImg = QtWidgets.QLabel(self.centralwidget)
self.label_ShowImg.setGeometry(QtCore.QRect(230, 30, 251, 221))
self.label_ShowImg.setAlignment(QtCore.Qt.AlignCenter)
self.label_ShowImg.setObjectName("label_ShowImg")
self.pushButton_read_db = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_read_db.setGeometry(QtCore.QRect(420, 300, 131, 41))
self.pushButton_read_db.setObjectName("pushButton_read_db")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 773, 22))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
self.pushButton_OpenFile.setText(_translate("MainWindow", "打开文件夹"))
self.label_ShowImg.setText(_translate("MainWindow", "IMG SHOW"))
self.pushButton_read_db.setText(_translate("MainWindow", "读取数据库"))
função principal
A parte da função principal registra claramente como usar sqlite3 em pyqt, você pode ler diretamente o código sem muita explicação.
from PyQt5 import QtWidgets,QtCore,QtGui
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QMainWindow,QApplication
from PyQt5.QtWidgets import QFileDialog
from PyQt5.QtSql import QSqlDatabase,QSqlQuery,QSqlTableModel
from PyQt5.QtWidgets import QApplication, QWidget, QMessageBox,QTableView
import sys
import cv2
import base64
import sqlite3
import Finger_UI
class Main_window(QtWidgets.QMainWindow,Finger_UI.Ui_MainWindow):
def __init__(self,parent=None):
super(Main_window,self).__init__(parent)
self.setupUi(self)
self.db_connect()
self.createTable()
self.pushButton_OpenFile.clicked.connect(self.open_save)
self.pushButton_read_db.clicked.connect(self.show_img)
def db_connect(self):
self.conn = sqlite3.connect('./test.db')
self.cursor = self.conn.cursor()
def createTable(self):
table_name = "pictureTable"
self.cursor.execute(
"create table IF NOT EXISTS %s(picName TEXT,width INTEGER, height INTEGER, image_bytes BLOB)"
% table_name)
self.conn.commit()
def save_img2db(self,img_name_path):
image = cv2.imread(img_name_path)
# 获取图像的宽度和高度
height, width, _ = image.shape
# 将图像编码为 PNG 格式的字节数据
retval, encoded_image = cv2.imencode(".jpg", image)
content = base64.b64encode(encoded_image)
# 插入图片的二进制数据和相关信息
name = img_name_path.split('/')[-1]
sql = f"INSERT INTO pictureTable (picName, width, height, image_bytes) VALUES (?, ?, ?, ?);"
self.cursor.execute(sql, (name, width, height, content))
self.conn.commit()
def read_img_from_db(self):
sql = f"SELECT image_bytes FROM pictureTable WHERE picName=?"
self.cursor.execute(sql, ('test.jpg',))
value = self.cursor.fetchone()
if value:
img_data = base64.b64decode(value[0])
# 如果是用cv2显示还需要做的处理
# 将open方法读取的字节码转为opencv格式的数据
# nparr = np.fromstring(img_data, np.uint8)
# img_decode = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
return img_data
else:
return None
def show_img(self):
img_data = self.read_img_from_db()
if img_data:
pixmap = QtGui.QPixmap()
pixmap.loadFromData(img_data)
scaled_pixmap = pixmap.scaled(self.label_ShowImg.size(), QtCore.Qt.AspectRatioMode.KeepAspectRatio)
self.label_ShowImg.setPixmap(scaled_pixmap)
else:
QMessageBox.warning(self, 'Image Retrieval', 'No image found in the database.')
# 如果直接从文件读取用这种方式显示
# img = QtGui.QPixmap(imgName).scaled(self.label_ShowImg.width(), self.label_ShowImg.height())
# self.label_ShowImg.setPixmap(img)
# 窗口关闭时关闭数据库
def closeEvent(self, QCloseEvent):
self.conn.close()
def open_save(self):
imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "*.jpg;;*.png;;All Files(*)")
if imgName:
self.save_img2db(imgName)
def open_file(self):
fileName1, filetype = QFileDialog.getOpenFileName(self,
"选取模板文件文件",
"./",
"All Files (*);;Text Files (*.txt)") # 设置文件扩展名过滤,注意用双分号间隔
print("fileName1:",fileName1, filetype)
if __name__ == '__main__':
app = QApplication(sys.argv)
mytest = Main_window()
mytest.show()
app.exec_()
Mostrar resultados
executar a função principal
ler a imagem em
Clique em "Abrir pasta", selecione uma imagem e, após lê-la, você poderá vê-la no banco de dados O que você vê na
interface do banco de dados
leia a imagem e exiba
Clique em "Depois de ler o banco de dados, você pode ler diretamente o arquivo correspondente do banco de dados", consulte o código da função principal para obter detalhes
