生成一段基于Qt设计绘画板的python代码，并且能够根据绘图内容进行数字实时识别，将识别内容显示在一个小方框中

好的，以下是一个基于Qt设计的绘画板的Python代码，并且加入了数字实时识别的功能：

import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import cv2
import numpy as np
import pytesseract

class DrawingBoard(QWidget):
    def __init__(self):
        super().__init__()

        # 创建画布
        self.image = QImage(self.size(), QImage.Format_RGB32)
        self.image.fill(Qt.white)
        self.drawing = False
        self.brushSize = 10
        self.brushColor = Qt.black
        self.lastPoint = QPoint()

        # 创建实时数字识别框
        self.textbox = QTextEdit(self)
        self.textbox.setGeometry(0, 0, 100, 30)
        self.textbox.setStyleSheet("color: black; background-color: white;")

        # 创建清空按钮
        self.clearButton = QPushButton("Clear", self)
        self.clearButton.clicked.connect(self.clearImage)

    def paintEvent(self, event):
        canvasPainter = QPainter(self)
        canvasPainter.drawImage(self.rect(), self.image, self.image.rect())

    def mousePressEvent(self, event):
        if event.button() == Qt.LeftButton:
            self.drawing = True
            self.lastPoint = event.pos()

    def mouseMoveEvent(self, event):
        if (event.buttons() & Qt.LeftButton) and self.drawing:
            painter = QPainter(self.image)
            painter.setPen(QPen(self.brushColor, self.brushSize, Qt.SolidLine, Qt.RoundCap, Qt.RoundJoin))
            painter.drawLine(self.lastPoint, event.pos())
            self.lastPoint = event.pos()
            self.update()

    def mouseReleaseEvent(self, event):
        if event.button() == Qt.LeftButton:
            self.drawing = False

            # 进行数字识别
            img = self.image.toImage().convertToFormat(QImage.Format_Grayscale8)
            img = np.array(img.bits().asstring(img.width() * img.height()), dtype=np.uint8).reshape((img.height(), img.width()))
            img = cv2.resize(img, (28, 28), interpolation=cv2.INTER_AREA)
            _, img = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY_INV)
            text = pytesseract.image_to_string(img, config="--psm 10")
            self.textbox.setText(text)

    def resizeEvent(self, event):
        self.image = QImage(self.size(), QImage.Format_RGB32)
        self.image.fill(Qt.white)

    def clearImage(self):
        self.image.fill(Qt.white)
        self.update()

if __name__ == '__main__':
    app = QApplication(sys.argv)
    window = QWidget()
    window.setWindowTitle("Drawing Board")

    # 创建绘画板
    drawingBoard = DrawingBoard()

    # 创建布局
    layout = QVBoxLayout(window)
    layout.addWidget(drawingBoard)
    layout.addWidget(drawingBoard.textbox)
    layout.addWidget(drawingBoard.clearButton)

    # 显示窗口
    window.setLayout(layout)
    window.show()
    sys.exit(app.exec_())

这段代码创建了一个绘画板，当用户绘制数字时，程序会进行实时数字识别，并将识别结果显示在一个小方框中。识别使用的是Tesseract OCR引擎。同时，还添加了一个清空按钮，方便用户清除画布。