OCR Check Loading png/jpg

.

import sys

from PyQt5.QtWidgets import QApplication, QMainWindow, QDockWidget, QTextEdit, QAction, QFileDialog, QMessageBox, QVBoxLayout, QWidget, QPushButton, QLabel, QHBoxLayout

from PyQt5.QtCore import Qt, QRect, QPoint, pyqtSignal

from PyQt5.QtGui import QPixmap, QPainter, QColor, QPen, QCursor

from PIL import Image

class NotePad(QMainWindow):

def init(self):

super().init()

self.image = None

self.pixmap = None

self.start_point = None

self.end_point = None

self.rect = None

self.scale_factor = 1.0

self.crosshair_enabled = False

self.last_cursor_pos = None

self.dragging = False

self.drag_offset = QPoint()

self.selecting = False

初始化日志标签

self.log_label = QLabel(self)

self.log_label.setFixedSize(300, 300) # 调整日志区域大小

self.log_label.setStyleSheet("border: 1px solid black; background-color: white;")

self.log_label.setAlignment(Qt.AlignTop)

self.log_label.setVisible(True)

self.initUI()

def initUI(self):

self.setWindowTitle("NotePad")

self.setGeometry(100, 100, 1000, 700)

self.textEdit = QTextEdit()

self.setCentralWidget(self.textEdit)

dock = QDockWidget("File Actions", self)

dock.setAllowedAreas(Qt.LeftDockWidgetArea)

#openButton = QPushButton("Open File")

#openButton.clicked.connect(self.openFile)

#saveButton = QPushButton("Save File")

#saveButton.clicked.connect(self.saveFile)

ocrButton = QPushButton("OCR Check")

ocrButton.clicked.connect(self.ocrCheck)

layout = QVBoxLayout()

#layout.addWidget(openButton)

#layout.addWidget(saveButton)

layout.addWidget(ocrButton)

widget = QWidget()

widget.setLayout(layout)

dock.setWidget(widget)

self.addDockWidget(Qt.LeftDockWidgetArea, dock)

添加日志显示区域

logDock = QDockWidget("Log", self)

logDock.setAllowedAreas(Qt.RightDockWidgetArea)

logDock.setWidget(self.log_label) # 确保此处使用了正确的属性

self.addDockWidget(Qt.RightDockWidgetArea, logDock)

图片显示区域

self.image_label = QLabel(self)

self.image_label.setGeometry(100, 100, 800, 600)

self.image_label.setAlignment(Qt.AlignCenter)

self.image_label.mousePressEvent = self.mouse_press

self.image_label.mouseMoveEvent = self.mouse_move

self.image_label.mouseReleaseEvent = self.mouse_release

self.image_label.setMouseTracking(True) # 允许鼠标跟踪

按钮布局

button_layout = QHBoxLayout()

fit_button = QPushButton("Fit to Window")

fit_button.clicked.connect(self.fit_to_window)

zoom_in_button = QPushButton("Zoom In")

zoom_in_button.clicked.connect(self.zoom_in)

zoom_out_button = QPushButton("Zoom Out")

zoom_out_button.clicked.connect(self.zoom_out)

crosshair_button = QPushButton("Crosshair")

crosshair_button.clicked.connect(self.toggle_crosshair)

drag_button = QPushButton("Drag Image")

drag_button.clicked.connect(self.enable_dragging)

select_button = QPushButton("Select Area")

select_button.clicked.connect(self.enable_selecting)

button_layout.addWidget(fit_button)

button_layout.addWidget(zoom_in_button)

button_layout.addWidget(zoom_out_button)

button_layout.addWidget(crosshair_button)

button_layout.addWidget(drag_button)

button_layout.addWidget(select_button)

将按钮布局添加到主窗口

main_layout = QVBoxLayout()

main_layout.addLayout(button_layout)

main_layout.addWidget(self.image_label)

central_widget = QWidget()

central_widget.setLayout(main_layout)

self.setCentralWidget(central_widget)

self.createActions()

self.createMenus()

self.show()

def createActions(self):

self.openAction = QAction("Open File", self)

self.openAction.triggered.connect(self.openFile)

self.saveAction = QAction("Save File", self)

self.saveAction.triggered.connect(self.saveFile)

def createMenus(self):

self.fileMenu = self.menuBar().addMenu("File")

self.fileMenu.addAction(self.openAction)

self.fileMenu.addAction(self.saveAction)

def openFile(self):

fileName, _ = QFileDialog.getOpenFileName(self, "Open File", "", "Text Files (*.txt);;All Files (*)")

if fileName:

try:

with open(fileName, 'r', encoding='utf-8') as file:

content = file.read()

self.textEdit.setPlainText(content)

except Exception as e:

QMessageBox.critical(self, "Error", str(e))

def saveFile(self):

fileName, _ = QFileDialog.getSaveFileName(self, "Save File", "", "Text Files (*.txt);;All Files (*)")

if fileName:

try:

with open(fileName, 'w', encoding='utf-8') as file:

content = self.textEdit.toPlainText()

file.write(content)

QMessageBox.information(self, "Success", "File saved successfully.")

except Exception as e:

QMessageBox.critical(self, "Error", str(e))

def ocrCheck(self):

fileName, _ = QFileDialog.getOpenFileName(self, "Open Image", "", "Image Files (*.jpg *.jpeg *.png)")

if fileName:

try:

self.image = Image.open(fileName)

self.pixmap = QPixmap(fileName)

self.fit_to_window() # 初始加载时就适应窗口

self.scale_factor = 1.0

except Exception as e:

QMessageBox.critical(self, "Error", str(e))

def mouse_press(self, event):

if self.dragging and event.button() == Qt.LeftButton:

self.drag_offset = event.pos() - self.image_label.pos()

elif self.selecting and event.button() == Qt.LeftButton:

self.start_point = event.pos()

self.end_point = event.pos()

self.update()

def mouse_move(self, event):

if self.dragging and event.buttons() & Qt.LeftButton:

self.image_label.move(event.pos() - self.drag_offset)

elif self.selecting and self.start_point and event.buttons() & Qt.LeftButton:

self.end_point = event.pos()

if self.crosshair_enabled:

self.last_cursor_pos = event.pos()

self.update()

def mouse_release(self, event):

if self.selecting and self.start_point and self.end_point:

rect = QRect(self.start_point, self.end_point).normalized()

self.rect = (rect.x(), rect.y(), rect.width(), rect.height())

self.check_red_color()

self.update()

def check_red_color(self):

if self.image and self.rect:

cropped_image = self.image.crop(self.rect)

rgb_image = cropped_image.convert('RGB')

pixels = list(rgb_image.getdata())

for pixel in pixels:

r, g, b = pixel

if r > 200 and g < 100 and b < 100: # 红色的标准可以调整

self.show_check_ng()

return

self.show_check_ok()

def show_check_ng(self):

self.log_label.setText("Check NG\n" + self.log_label.text())

QMessageBox.warning(self, "Result", "Check NG")

def show_check_ok(self):

self.log_label.setText("Check OK\n" + self.log_label.text())

QMessageBox.information(self, "Result", "Check OK")

def paintEvent(self, event):

painter = QPainter(self.image_label)

if self.selecting and self.start_point and self.end_point:

pen = QPen(Qt.red, 2, Qt.SolidLine)

painter.setPen(pen)

painter.drawRect(QRect(self.start_point, self.end_point).normalized())

if self.crosshair_enabled and self.last_cursor_pos:

pen = QPen(Qt.red, 1, Qt.SolidLine)

painter.setPen(pen)

x, y = self.last_cursor_pos.x(), self.last_cursor_pos.y()

painter.drawLine(x, 0, x, self.image_label.height())

painter.drawLine(0, y, self.image_label.width(), y)

def fit_to_window(self):

if self.pixmap:

self.scale_factor = 1.0

self.image_label.setPixmap(self.pixmap.scaled(self.image_label.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))

self.image_label.adjustSize()

def zoom_in(self):

if self.pixmap:

self.scale_factor *= 1.25

scaled_pixmap = self.pixmap.scaled(self.pixmap.size() * self.scale_factor, Qt.KeepAspectRatio, Qt.SmoothTransformation)

self.image_label.setPixmap(scaled_pixmap)

self.image_label.adjustSize() # 适应新的尺寸

def zoom_out(self):

if self.pixmap:

self.scale_factor /= 1.25

scaled_pixmap = self.pixmap.scaled(self.pixmap.size() * self.scale_factor, Qt.KeepAspectRatio, Qt.SmoothTransformation)

self.image_label.setPixmap(scaled_pixmap)

self.image_label.adjustSize() # 适应新的尺寸

def toggle_crosshair(self):

self.crosshair_enabled = not self.crosshair_enabled

if self.crosshair_enabled:

self.setCursor(Qt.CrossCursor)

else:

self.setCursor(Qt.ArrowCursor)

def enable_dragging(self):

self.dragging = True

self.selecting = False

self.setCursor(Qt.OpenHandCursor) # 改变光标为拖动状态

def enable_selecting(self):

self.dragging = False

self.selecting = True

self.setCursor(Qt.ArrowCursor) # 改变光标为默认状态

if name == 'main':

app = QApplication(sys.argv)

notepad = NotePad()

sys.exit(app.exec_())

相关推荐
旗讯数字4 小时前
旗讯 OCR:破解全行业表格处理痛点,让数据从 “识别” 到 “可用” 一步到位
ocr·表格识别·结构化数据
AI人工智能+1 天前
发票识别技术:结合OCR与AI技术,实现纸质票据高效数字化,推动企业智能化转型
人工智能·nlp·ocr·发票识别
AI人工智能+1 天前
结婚证识别技术:利用OCR和深度学习实现婚姻证件信息的自动提取与结构化处理
深度学习·ocr·结婚证识别
xyj41892 天前
《深入理解Java虚拟机JVM高级特性与最佳实践》
ocr
东风西巷3 天前
STranslate(翻译工具OCR工具) 中文绿色版
学习·ocr·电脑·软件需求
XXX-X-XXJ3 天前
三、从 MinIO 存储到 OCR 提取,再到向量索引生成
人工智能·后端·python·ocr
EkihzniY3 天前
车牌 OCR 识别:国庆高速免费通行的 “隐形引擎”
ocr
wt_cs3 天前
OCR API让工作归于调理-文字识别接口-发票、银行卡、文档识别
ocr
qq_546937273 天前
身份证批量ocr
ocr
AI人工智能+3 天前
行驶证识别技术通过OCR和AI实现信息自动化采集与处理,涵盖图像预处理、文字识别及结构化校验,提升效率与准确性
人工智能·深度学习·ocr·行驶证识别