init

.gitconfig

@@ -0,0 +1,2 @@
+user.name=hans
+user.email=weartistt@gmail.com

.gitignore

@@ -0,0 +1,34 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+.ipynb_checkpoints/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+inference/
+inference_results/
+output/
+train_data/
+log/
+*.DS_Store
+*.vs
+*.user
+*~
+*.vscode
+*.idea
+
+*.log
+.clang-format
+.clang_format.hook
+
+build/
+dist/
+paddleocr.egg-info/
+/deploy/android_demo/app/OpenCV/
+/deploy/android_demo/app/PaddleLite/
+/deploy/android_demo/app/.cxx/
+/deploy/android_demo/app/cache/
+test_tipc/web/models/
+test_tipc/web/node_modules/

.pre-commit-config.yaml

@@ -0,0 +1,35 @@
+-   repo: https://github.com/PaddlePaddle/mirrors-yapf.git
+    sha: 0d79c0c469bab64f7229c9aca2b1186ef47f0e37
+    hooks:
+    -   id: yapf
+        files: \.py$
+-   repo: https://github.com/pre-commit/pre-commit-hooks
+    sha: a11d9314b22d8f8c7556443875b731ef05965464
+    hooks:
+    -   id: check-merge-conflict
+    -   id: check-symlinks
+    -   id: detect-private-key
+        files: (?!.*paddle)^.*$
+    -   id: end-of-file-fixer
+        files: \.md$
+    -   id: trailing-whitespace
+        files: \.md$
+-   repo: https://github.com/Lucas-C/pre-commit-hooks
+    sha: v1.0.1
+    hooks:
+    -   id: forbid-crlf
+        files: \.md$
+    -   id: remove-crlf
+        files: \.md$
+    -   id: forbid-tabs
+        files: \.md$
+    -   id: remove-tabs
+        files: \.md$
+-   repo: local
+    hooks:
+    -   id: clang-format
+        name: clang-format
+        description: Format files with ClangFormat
+        entry: bash .clang_format.hook -i
+        language: system
+        files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|cuh|proto)$

.style.yapf

@@ -0,0 +1,3 @@
+[style]
+based_on_style = pep8
+column_limit = 80

LICENSE

@@ -0,0 +1,203 @@
+Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
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+      and distribution as defined by Sections 1 through 9 of this document.
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+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
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+      "You" (or "Your") shall mean an individual or Legal Entity
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+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
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+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
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+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
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+
+   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

MANIFEST.in

@@ -0,0 +1,10 @@
+include LICENSE
+include README.md
+
+recursive-include ppocr/utils *.*
+recursive-include ppocr/data *.py
+recursive-include ppocr/postprocess *.py
+recursive-include tools/infer *.py
+recursive-include tools __init__.py
+recursive-include ppocr/utils/e2e_utils *.py
+recursive-include ppstructure *.py

PPOCRLabel/Makefile

@@ -0,0 +1,35 @@
+# ex: set ts=8 noet:
+
+all: qt5 test
+
+test: testpy3
+
+testpy2:
+	python -m unittest discover tests
+
+testpy3:
+	python3 -m unittest discover tests
+
+qt4: qt4py2
+
+qt5: qt5py3
+
+qt4py2:
+	pyrcc4 -py2 -o libs/resources.py resources.qrc
+
+qt4py3:
+	pyrcc4 -py3 -o libs/resources.py resources.qrc
+
+qt5py3:
+	pyrcc5 -o libs/resources.py resources.qrc
+
+clean:
+	rm -rf ~/.labelImgSettings.pkl *.pyc dist labelImg.egg-info __pycache__ build
+
+pip_upload:
+	python3 setup.py upload
+
+long_description:
+	restview --long-description
+
+.PHONY: all

PPOCRLabel/PPOCRLabel.py

@@ -0,0 +1,2840 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+# !/usr/bin/env python
+# -*- coding: utf-8 -*-
+# pyrcc5 -o libs/resources.py resources.qrc
+import argparse
+import ast
+import codecs
+import json
+import os.path
+import platform
+import subprocess
+import sys
+import xlrd
+from functools import partial
+
+from PyQt5.QtCore import QSize, Qt, QPoint, QByteArray, QTimer, QFileInfo, QPointF, QProcess
+from PyQt5.QtGui import QImage, QCursor, QPixmap, QImageReader
+from PyQt5.QtWidgets import QMainWindow, QListWidget, QVBoxLayout, QToolButton, QHBoxLayout, QDockWidget, QWidget, \
+    QSlider, QGraphicsOpacityEffect, QMessageBox, QListView, QScrollArea, QWidgetAction, QApplication, QLabel, QGridLayout, \
+    QFileDialog, QListWidgetItem, QComboBox, QDialog, QAbstractItemView, QSizePolicy
+
+__dir__ = os.path.dirname(os.path.abspath(__file__))
+
+sys.path.append(__dir__)
+sys.path.append(os.path.abspath(os.path.join(__dir__, '../..')))
+sys.path.append(os.path.abspath(os.path.join(__dir__, '../PaddleOCR')))
+sys.path.append("..")
+
+from paddleocr import PaddleOCR, PPStructure
+from libs.constants import *
+from libs.utils import *
+from libs.labelColor import label_colormap
+from libs.settings import Settings
+from libs.shape import Shape, DEFAULT_LINE_COLOR, DEFAULT_FILL_COLOR, DEFAULT_LOCK_COLOR
+from libs.stringBundle import StringBundle
+from libs.canvas import Canvas
+from libs.zoomWidget import ZoomWidget
+from libs.autoDialog import AutoDialog
+from libs.labelDialog import LabelDialog
+from libs.colorDialog import ColorDialog
+from libs.ustr import ustr
+from libs.hashableQListWidgetItem import HashableQListWidgetItem
+from libs.editinlist import EditInList
+from libs.unique_label_qlist_widget import UniqueLabelQListWidget
+from libs.keyDialog import KeyDialog
+
+__appname__ = 'PPOCRLabel'
+
+LABEL_COLORMAP = label_colormap()
+
+
+class MainWindow(QMainWindow):
+    FIT_WINDOW, FIT_WIDTH, MANUAL_ZOOM = list(range(3))
+
+    def __init__(self,
+                 lang="ch",
+                 gpu=False,
+                 kie_mode=False,
+                 default_filename=None,
+                 default_predefined_class_file=None,
+                 default_save_dir=None):
+        super(MainWindow, self).__init__()
+        self.setWindowTitle(__appname__)
+        self.setWindowState(Qt.WindowMaximized)  # set window max
+        self.activateWindow()  # PPOCRLabel goes to the front when activate
+
+        # Load setting in the main thread
+        self.settings = Settings()
+        self.settings.load()
+        settings = self.settings
+        self.lang = lang
+
+        # Load string bundle for i18n
+        if lang not in ['ch', 'en']:
+            lang = 'en'
+        self.stringBundle = StringBundle.getBundle(localeStr='zh-CN' if lang == 'ch' else 'en')  # 'en'
+        getStr = lambda strId: self.stringBundle.getString(strId)
+
+        # KIE setting
+        self.kie_mode = kie_mode
+        self.key_previous_text = ""
+        self.existed_key_cls_set = set()
+        self.key_dialog_tip = getStr('keyDialogTip')
+
+        self.defaultSaveDir = default_save_dir
+        self.ocr = PaddleOCR(use_pdserving=False,
+                             use_angle_cls=True,
+                             det=True,
+                             cls=True,
+                             use_gpu=gpu,
+                             lang=lang,
+                             show_log=False)
+        self.table_ocr = PPStructure(use_pdserving=False,
+                                     use_gpu=gpu,
+                                     lang=lang,
+                                     layout=False,
+                                     show_log=False)
+
+        if os.path.exists('./data/paddle.png'):
+            result = self.ocr.ocr('./data/paddle.png', cls=True, det=True)
+            result = self.table_ocr('./data/paddle.png', return_ocr_result_in_table=True)
+
+        # For loading all image under a directory
+        self.mImgList = []
+        self.mImgList5 = []
+        self.dirname = None
+        self.labelHist = []
+        self.lastOpenDir = None
+        self.result_dic = []
+        self.result_dic_locked = []
+        self.changeFileFolder = False
+        self.haveAutoReced = False
+        self.labelFile = None
+        self.currIndex = 0
+
+        # Whether we need to save or not.
+        self.dirty = False
+
+        self._noSelectionSlot = False
+        self._beginner = True
+        self.screencastViewer = self.getAvailableScreencastViewer()
+        self.screencast = "https://github.com/PaddlePaddle/PaddleOCR"
+
+        # Load predefined classes to the list
+        self.loadPredefinedClasses(default_predefined_class_file)
+
+        # Main widgets and related state.
+        self.labelDialog = LabelDialog(parent=self, listItem=self.labelHist)
+        self.autoDialog = AutoDialog(parent=self)
+
+        self.itemsToShapes = {}
+        self.shapesToItems = {}
+        self.itemsToShapesbox = {}
+        self.shapesToItemsbox = {}
+        self.prevLabelText = getStr('tempLabel')
+        self.noLabelText = getStr('nullLabel')
+        self.model = 'paddle'
+        self.PPreader = None
+        self.autoSaveNum = 5
+
+        #  ================== File List  ==================
+
+        filelistLayout = QVBoxLayout()
+        filelistLayout.setContentsMargins(0, 0, 0, 0)
+
+        self.fileListWidget = QListWidget()
+        self.fileListWidget.itemClicked.connect(self.fileitemDoubleClicked)
+        self.fileListWidget.setIconSize(QSize(25, 25))
+        filelistLayout.addWidget(self.fileListWidget)
+
+        fileListContainer = QWidget()
+        fileListContainer.setLayout(filelistLayout)
+        self.fileListName = getStr('fileList')
+        self.fileDock = QDockWidget(self.fileListName, self)
+        self.fileDock.setObjectName(getStr('files'))
+        self.fileDock.setWidget(fileListContainer)
+        self.addDockWidget(Qt.LeftDockWidgetArea, self.fileDock)
+
+        #  ================== Key List  ==================
+        if self.kie_mode:
+            self.keyList = UniqueLabelQListWidget()
+
+            # set key list height
+            key_list_height = int(QApplication.desktop().height() // 4)
+            if key_list_height < 50:
+                key_list_height = 50
+            self.keyList.setMaximumHeight(key_list_height)
+
+            self.keyListDockName = getStr('keyListTitle')
+            self.keyListDock = QDockWidget(self.keyListDockName, self)
+            self.keyListDock.setWidget(self.keyList)
+            self.keyListDock.setFeatures(QDockWidget.NoDockWidgetFeatures)
+            filelistLayout.addWidget(self.keyListDock)
+
+        self.AutoRecognition = QToolButton()
+        self.AutoRecognition.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+        self.AutoRecognition.setIcon(newIcon('Auto'))
+        autoRecLayout = QHBoxLayout()
+        autoRecLayout.setContentsMargins(0, 0, 0, 0)
+        autoRecLayout.addWidget(self.AutoRecognition)
+        autoRecContainer = QWidget()
+        autoRecContainer.setLayout(autoRecLayout)
+        filelistLayout.addWidget(autoRecContainer)
+
+        #  ================== Right Area  ==================
+        listLayout = QVBoxLayout()
+        listLayout.setContentsMargins(0, 0, 0, 0)
+
+        # Buttons
+        self.editButton = QToolButton()
+        self.reRecogButton = QToolButton()
+        self.reRecogButton.setIcon(newIcon('reRec', 30))
+        self.reRecogButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+
+        self.tableRecButton = QToolButton()
+        self.tableRecButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+
+        self.newButton = QToolButton()
+        self.newButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+        self.createpolyButton = QToolButton()
+        self.createpolyButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+
+        self.SaveButton = QToolButton()
+        self.SaveButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+        self.DelButton = QToolButton()
+        self.DelButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+
+        leftTopToolBox = QGridLayout()
+        leftTopToolBox.addWidget(self.newButton, 0, 0, 1, 1)
+        leftTopToolBox.addWidget(self.createpolyButton, 0, 1, 1, 1)
+        leftTopToolBox.addWidget(self.reRecogButton, 1, 0, 1, 1)
+        leftTopToolBox.addWidget(self.tableRecButton, 1, 1, 1, 1)
+
+        leftTopToolBoxContainer = QWidget()
+        leftTopToolBoxContainer.setLayout(leftTopToolBox)
+        listLayout.addWidget(leftTopToolBoxContainer)
+
+        #  ================== Label List  ==================
+        labelIndexListlBox = QHBoxLayout()
+
+        # Create and add a widget for showing current label item index
+        self.indexList = QListWidget()
+        self.indexList.setMaximumSize(30, 16777215) # limit max width
+        self.indexList.setEditTriggers(QAbstractItemView.NoEditTriggers) # no editable
+        self.indexList.itemSelectionChanged.connect(self.indexSelectionChanged)
+        self.indexList.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff) # no scroll Bar
+        self.indexListDock = QDockWidget('No.', self)
+        self.indexListDock.setWidget(self.indexList)
+        self.indexListDock.setFeatures(QDockWidget.NoDockWidgetFeatures)
+        labelIndexListlBox.addWidget(self.indexListDock, 1)
+        # no margin between two boxes
+        labelIndexListlBox.setSpacing(0)
+        
+        # Create and add a widget for showing current label items
+        self.labelList = EditInList()
+        labelListContainer = QWidget()
+        labelListContainer.setLayout(listLayout)
+        self.labelList.itemSelectionChanged.connect(self.labelSelectionChanged)
+        self.labelList.clicked.connect(self.labelList.item_clicked)
+
+        # Connect to itemChanged to detect checkbox changes.
+        self.labelList.itemChanged.connect(self.labelItemChanged)
+        self.labelListDockName = getStr('recognitionResult')
+        self.labelListDock = QDockWidget(self.labelListDockName, self)
+        self.labelListDock.setWidget(self.labelList)
+        self.labelListDock.setFeatures(QDockWidget.NoDockWidgetFeatures)
+        labelIndexListlBox.addWidget(self.labelListDock, 10) # label list is wider than index list
+        
+        # enable labelList drag_drop to adjust bbox order
+        # 设置选择模式为单选  
+        self.labelList.setSelectionMode(QAbstractItemView.SingleSelection)
+        # 启用拖拽
+        self.labelList.setDragEnabled(True)
+        # 设置接受拖放
+        self.labelList.viewport().setAcceptDrops(True)
+        # 设置显示将要被放置的位置
+        self.labelList.setDropIndicatorShown(True)
+        # 设置拖放模式为移动项目，如果不设置，默认为复制项目
+        self.labelList.setDragDropMode(QAbstractItemView.InternalMove) 
+        # 触发放置
+        self.labelList.model().rowsMoved.connect(self.drag_drop_happened)
+
+        labelIndexListContainer = QWidget()
+        labelIndexListContainer.setLayout(labelIndexListlBox)
+        listLayout.addWidget(labelIndexListContainer)
+
+        # labelList indexList同步滚动
+        self.labelListBar = self.labelList.verticalScrollBar()
+        self.indexListBar = self.indexList.verticalScrollBar()
+
+        self.labelListBar.valueChanged.connect(self.move_scrollbar)
+        self.indexListBar.valueChanged.connect(self.move_scrollbar)
+
+        #  ================== Detection Box  ==================
+        self.BoxList = QListWidget()
+
+        # self.BoxList.itemActivated.connect(self.boxSelectionChanged)
+        self.BoxList.itemSelectionChanged.connect(self.boxSelectionChanged)
+        self.BoxList.itemDoubleClicked.connect(self.editBox)
+        # Connect to itemChanged to detect checkbox changes.
+        self.BoxList.itemChanged.connect(self.boxItemChanged)
+        self.BoxListDockName = getStr('detectionBoxposition')
+        self.BoxListDock = QDockWidget(self.BoxListDockName, self)
+        self.BoxListDock.setWidget(self.BoxList)
+        self.BoxListDock.setFeatures(QDockWidget.NoDockWidgetFeatures)
+        listLayout.addWidget(self.BoxListDock)
+
+        #  ================== Lower Right Area  ==================
+        leftbtmtoolbox = QHBoxLayout()
+        leftbtmtoolbox.addWidget(self.SaveButton)
+        leftbtmtoolbox.addWidget(self.DelButton)
+        leftbtmtoolboxcontainer = QWidget()
+        leftbtmtoolboxcontainer.setLayout(leftbtmtoolbox)
+        listLayout.addWidget(leftbtmtoolboxcontainer)
+
+        self.dock = QDockWidget(getStr('boxLabelText'), self)
+        self.dock.setObjectName(getStr('labels'))
+        self.dock.setWidget(labelListContainer)
+
+        #  ================== Zoom Bar  ==================
+        self.imageSlider = QSlider(Qt.Horizontal)
+        self.imageSlider.valueChanged.connect(self.CanvasSizeChange)
+        self.imageSlider.setMinimum(-9)
+        self.imageSlider.setMaximum(510)
+        self.imageSlider.setSingleStep(1)
+        self.imageSlider.setTickPosition(QSlider.TicksBelow)
+        self.imageSlider.setTickInterval(1)
+
+        op = QGraphicsOpacityEffect()
+        op.setOpacity(0.2)
+        self.imageSlider.setGraphicsEffect(op)
+
+        self.imageSlider.setStyleSheet("background-color:transparent")
+        self.imageSliderDock = QDockWidget(getStr('ImageResize'), self)
+        self.imageSliderDock.setObjectName(getStr('IR'))
+        self.imageSliderDock.setWidget(self.imageSlider)
+        self.imageSliderDock.setFeatures(QDockWidget.DockWidgetFloatable)
+        self.imageSliderDock.setAttribute(Qt.WA_TranslucentBackground)
+        self.addDockWidget(Qt.RightDockWidgetArea, self.imageSliderDock)
+
+        self.zoomWidget = ZoomWidget()
+        self.colorDialog = ColorDialog(parent=self)
+        self.zoomWidgetValue = self.zoomWidget.value()
+
+        self.msgBox = QMessageBox()
+
+        #  ================== Thumbnail ==================
+        hlayout = QHBoxLayout()
+        m = (0, 0, 0, 0)
+        hlayout.setSpacing(0)
+        hlayout.setContentsMargins(*m)
+        self.preButton = QToolButton()
+        self.preButton.setIcon(newIcon("prev", 40))
+        self.preButton.setIconSize(QSize(40, 100))
+        self.preButton.clicked.connect(self.openPrevImg)
+        self.preButton.setStyleSheet('border: none;')
+        self.preButton.setShortcut('a')
+        self.iconlist = QListWidget()
+        self.iconlist.setViewMode(QListView.IconMode)
+        self.iconlist.setFlow(QListView.TopToBottom)
+        self.iconlist.setSpacing(10)
+        self.iconlist.setIconSize(QSize(50, 50))
+        self.iconlist.setMovement(QListView.Static)
+        self.iconlist.setResizeMode(QListView.Adjust)
+        self.iconlist.itemClicked.connect(self.iconitemDoubleClicked)
+        self.iconlist.setStyleSheet("QListWidget{ background-color:transparent; border: none;}")
+        self.iconlist.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+        self.nextButton = QToolButton()
+        self.nextButton.setIcon(newIcon("next", 40))
+        self.nextButton.setIconSize(QSize(40, 100))
+        self.nextButton.setStyleSheet('border: none;')
+        self.nextButton.clicked.connect(self.openNextImg)
+        self.nextButton.setShortcut('d')
+
+        hlayout.addWidget(self.preButton)
+        hlayout.addWidget(self.iconlist)
+        hlayout.addWidget(self.nextButton)
+
+        iconListContainer = QWidget()
+        iconListContainer.setLayout(hlayout)
+        iconListContainer.setFixedHeight(100)
+
+        #  ================== Canvas ==================
+        self.canvas = Canvas(parent=self)
+        self.canvas.zoomRequest.connect(self.zoomRequest)
+        self.canvas.setDrawingShapeToSquare(settings.get(SETTING_DRAW_SQUARE, False))
+
+        scroll = QScrollArea()
+        scroll.setWidget(self.canvas)
+        scroll.setWidgetResizable(True)
+        self.scrollBars = {
+            Qt.Vertical: scroll.verticalScrollBar(),
+            Qt.Horizontal: scroll.horizontalScrollBar()
+        }
+        self.scrollArea = scroll
+        self.canvas.scrollRequest.connect(self.scrollRequest)
+
+        self.canvas.newShape.connect(partial(self.newShape, False))
+        self.canvas.shapeMoved.connect(self.updateBoxlist)  # self.setDirty
+        self.canvas.selectionChanged.connect(self.shapeSelectionChanged)
+        self.canvas.drawingPolygon.connect(self.toggleDrawingSensitive)
+
+        centerLayout = QVBoxLayout()
+        centerLayout.setContentsMargins(0, 0, 0, 0)
+        centerLayout.addWidget(scroll)
+        centerLayout.addWidget(iconListContainer, 0, Qt.AlignCenter)
+        centerContainer = QWidget()
+        centerContainer.setLayout(centerLayout)
+
+        self.setCentralWidget(centerContainer)
+        self.addDockWidget(Qt.RightDockWidgetArea, self.dock)
+
+        self.dock.setFeatures(QDockWidget.DockWidgetClosable | QDockWidget.DockWidgetFloatable)
+        self.fileDock.setFeatures(QDockWidget.NoDockWidgetFeatures)
+
+        #  ================== Actions ==================
+        action = partial(newAction, self)
+        quit = action(getStr('quit'), self.close,
+                      'Ctrl+Q', 'quit', getStr('quitApp'))
+
+        opendir = action(getStr('openDir'), self.openDirDialog,
+                         'Ctrl+u', 'open', getStr('openDir'))
+
+        open_dataset_dir = action(getStr('openDatasetDir'), self.openDatasetDirDialog,
+                                  'Ctrl+p', 'open', getStr('openDatasetDir'), enabled=False)
+
+        save = action(getStr('save'), self.saveFile,
+                      'Ctrl+V', 'verify', getStr('saveDetail'), enabled=False)
+
+        alcm = action(getStr('choosemodel'), self.autolcm,
+                      'Ctrl+M', 'next', getStr('tipchoosemodel'))
+
+        deleteImg = action(getStr('deleteImg'), self.deleteImg, 'Ctrl+Shift+D', 'close', getStr('deleteImgDetail'),
+                           enabled=True)
+
+        resetAll = action(getStr('resetAll'), self.resetAll, None, 'resetall', getStr('resetAllDetail'))
+
+        color1 = action(getStr('boxLineColor'), self.chooseColor,
+                        'Ctrl+L', 'color_line', getStr('boxLineColorDetail'))
+
+        createMode = action(getStr('crtBox'), self.setCreateMode,
+                            'w', 'new', getStr('crtBoxDetail'), enabled=False)
+        editMode = action('&Edit\nRectBox', self.setEditMode,
+                          'Ctrl+J', 'edit', u'Move and edit Boxs', enabled=False)
+
+        create = action(getStr('crtBox'), self.createShape,
+                        'w', 'objects', getStr('crtBoxDetail'), enabled=False)
+
+        delete = action(getStr('delBox'), self.deleteSelectedShape,
+                        'backspace', 'delete', getStr('delBoxDetail'), enabled=False)
+
+        copy = action(getStr('dupBox'), self.copySelectedShape,
+                      'Ctrl+C', 'copy', getStr('dupBoxDetail'),
+                      enabled=False)
+
+        hideAll = action(getStr('hideBox'), partial(self.togglePolygons, False),
+                         'Ctrl+H', 'hide', getStr('hideAllBoxDetail'),
+                         enabled=False)
+        showAll = action(getStr('showBox'), partial(self.togglePolygons, True),
+                         'Ctrl+A', 'hide', getStr('showAllBoxDetail'),
+                         enabled=False)
+
+        help = action(getStr('tutorial'), self.showTutorialDialog, None, 'help', getStr('tutorialDetail'))
+        showInfo = action(getStr('info'), self.showInfoDialog, None, 'help', getStr('info'))
+        showSteps = action(getStr('steps'), self.showStepsDialog, None, 'help', getStr('steps'))
+        showKeys = action(getStr('keys'), self.showKeysDialog, None, 'help', getStr('keys'))
+
+        zoom = QWidgetAction(self)
+        zoom.setDefaultWidget(self.zoomWidget)
+        self.zoomWidget.setWhatsThis(
+            u"Zoom in or out of the image. Also accessible with"
+            " %s and %s from the canvas." % (fmtShortcut("Ctrl+[-+]"),
+                                             fmtShortcut("Ctrl+Wheel")))
+        self.zoomWidget.setEnabled(False)
+
+        zoomIn = action(getStr('zoomin'), partial(self.addZoom, 10),
+                        'Ctrl++', 'zoom-in', getStr('zoominDetail'), enabled=False)
+        zoomOut = action(getStr('zoomout'), partial(self.addZoom, -10),
+                         'Ctrl+-', 'zoom-out', getStr('zoomoutDetail'), enabled=False)
+        zoomOrg = action(getStr('originalsize'), partial(self.setZoom, 100),
+                         'Ctrl+=', 'zoom', getStr('originalsizeDetail'), enabled=False)
+        fitWindow = action(getStr('fitWin'), self.setFitWindow,
+                           'Ctrl+F', 'fit-window', getStr('fitWinDetail'),
+                           checkable=True, enabled=False)
+        fitWidth = action(getStr('fitWidth'), self.setFitWidth,
+                          'Ctrl+Shift+F', 'fit-width', getStr('fitWidthDetail'),
+                          checkable=True, enabled=False)
+        # Group zoom controls into a list for easier toggling.
+        zoomActions = (self.zoomWidget, zoomIn, zoomOut,
+                       zoomOrg, fitWindow, fitWidth)
+        self.zoomMode = self.MANUAL_ZOOM
+        self.scalers = {
+            self.FIT_WINDOW: self.scaleFitWindow,
+            self.FIT_WIDTH: self.scaleFitWidth,
+            # Set to one to scale to 100% when loading files.
+            self.MANUAL_ZOOM: lambda: 1,
+        }
+
+        #  ================== New Actions ==================
+
+        edit = action(getStr('editLabel'), self.editLabel,
+                      'Ctrl+E', 'edit', getStr('editLabelDetail'), enabled=False)
+
+        AutoRec = action(getStr('autoRecognition'), self.autoRecognition,
+                         '', 'Auto', getStr('autoRecognition'), enabled=False)
+
+        reRec = action(getStr('reRecognition'), self.reRecognition,
+                       'Ctrl+Shift+R', 'reRec', getStr('reRecognition'), enabled=False)
+
+        singleRere = action(getStr('singleRe'), self.singleRerecognition,
+                            'Ctrl+R', 'reRec', getStr('singleRe'), enabled=False)
+
+        createpoly = action(getStr('creatPolygon'), self.createPolygon,
+                            'q', 'new', getStr('creatPolygon'), enabled=False)
+        
+        tableRec = action(getStr('TableRecognition'), self.TableRecognition,
+                        '', 'Auto', getStr('TableRecognition'), enabled=False)
+
+        cellreRec = action(getStr('cellreRecognition'), self.cellreRecognition,
+                        '', 'reRec', getStr('cellreRecognition'), enabled=False)
+
+        saveRec = action(getStr('saveRec'), self.saveRecResult,
+                         '', 'save', getStr('saveRec'), enabled=False)
+
+        saveLabel = action(getStr('saveLabel'), self.saveLabelFile,  #
+                           'Ctrl+S', 'save', getStr('saveLabel'), enabled=False)
+        
+        exportJSON = action(getStr('exportJSON'), self.exportJSON,
+                            '', 'save', getStr('exportJSON'), enabled=False)
+
+        undoLastPoint = action(getStr("undoLastPoint"), self.canvas.undoLastPoint,
+                               'Ctrl+Z', "undo", getStr("undoLastPoint"), enabled=False)
+
+        rotateLeft = action(getStr("rotateLeft"), partial(self.rotateImgAction, 1),
+                            'Ctrl+Alt+L', "rotateLeft", getStr("rotateLeft"), enabled=False)
+
+        rotateRight = action(getStr("rotateRight"), partial(self.rotateImgAction, -1),
+                             'Ctrl+Alt+R', "rotateRight", getStr("rotateRight"), enabled=False)
+
+        undo = action(getStr("undo"), self.undoShapeEdit,
+                      'Ctrl+Z', "undo", getStr("undo"), enabled=False)
+
+        change_cls = action(getStr("keyChange"), self.change_box_key,
+                            'Ctrl+X', "edit", getStr("keyChange"), enabled=False)
+
+        lock = action(getStr("lockBox"), self.lockSelectedShape,
+                      None, "lock", getStr("lockBoxDetail"), enabled=False)
+
+        self.editButton.setDefaultAction(edit)
+        self.newButton.setDefaultAction(create)
+        self.createpolyButton.setDefaultAction(createpoly)
+        self.DelButton.setDefaultAction(deleteImg)
+        self.SaveButton.setDefaultAction(save)
+        self.AutoRecognition.setDefaultAction(AutoRec)
+        self.reRecogButton.setDefaultAction(reRec)
+        self.tableRecButton.setDefaultAction(tableRec)
+        # self.preButton.setDefaultAction(openPrevImg)
+        # self.nextButton.setDefaultAction(openNextImg)
+
+        #  ================== Zoom layout ==================
+        zoomLayout = QHBoxLayout()
+        zoomLayout.addStretch()
+        self.zoominButton = QToolButton()
+        self.zoominButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+        self.zoominButton.setDefaultAction(zoomIn)
+        self.zoomoutButton = QToolButton()
+        self.zoomoutButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+        self.zoomoutButton.setDefaultAction(zoomOut)
+        self.zoomorgButton = QToolButton()
+        self.zoomorgButton.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
+        self.zoomorgButton.setDefaultAction(zoomOrg)
+        zoomLayout.addWidget(self.zoominButton)
+        zoomLayout.addWidget(self.zoomorgButton)
+        zoomLayout.addWidget(self.zoomoutButton)
+
+        zoomContainer = QWidget()
+        zoomContainer.setLayout(zoomLayout)
+        zoomContainer.setGeometry(0, 0, 30, 150)
+
+        shapeLineColor = action(getStr('shapeLineColor'), self.chshapeLineColor,
+                                icon='color_line', tip=getStr('shapeLineColorDetail'),
+                                enabled=False)
+        shapeFillColor = action(getStr('shapeFillColor'), self.chshapeFillColor,
+                                icon='color', tip=getStr('shapeFillColorDetail'),
+                                enabled=False)
+
+        # Label list context menu.
+        labelMenu = QMenu()
+        addActions(labelMenu, (edit, delete))
+
+        self.labelList.setContextMenuPolicy(Qt.CustomContextMenu)
+        self.labelList.customContextMenuRequested.connect(self.popLabelListMenu)
+
+        # Draw squares/rectangles
+        self.drawSquaresOption = QAction(getStr('drawSquares'), self)
+        self.drawSquaresOption.setCheckable(True)
+        self.drawSquaresOption.setChecked(settings.get(SETTING_DRAW_SQUARE, False))
+        self.drawSquaresOption.triggered.connect(self.toogleDrawSquare)
+
+        # Store actions for further handling.
+        self.actions = struct(save=save, resetAll=resetAll, deleteImg=deleteImg,
+                              lineColor=color1, create=create, createpoly=createpoly, tableRec=tableRec, delete=delete, edit=edit, copy=copy,
+                              saveRec=saveRec, singleRere=singleRere, AutoRec=AutoRec, reRec=reRec, cellreRec=cellreRec,
+                              createMode=createMode, editMode=editMode,
+                              shapeLineColor=shapeLineColor, shapeFillColor=shapeFillColor,
+                              zoom=zoom, zoomIn=zoomIn, zoomOut=zoomOut, zoomOrg=zoomOrg,
+                              fitWindow=fitWindow, fitWidth=fitWidth,
+                              zoomActions=zoomActions, saveLabel=saveLabel, change_cls=change_cls,
+                              undo=undo, undoLastPoint=undoLastPoint, open_dataset_dir=open_dataset_dir,
+                              rotateLeft=rotateLeft, rotateRight=rotateRight, lock=lock, exportJSON=exportJSON,
+                              fileMenuActions=(opendir, open_dataset_dir, saveLabel, exportJSON, resetAll, quit),
+                              beginner=(), advanced=(),
+                              editMenu=(createpoly, edit, copy, delete, singleRere, cellreRec, None, undo, undoLastPoint,
+                                        None, rotateLeft, rotateRight, None, color1, self.drawSquaresOption, lock,
+                                        None, change_cls),
+                              beginnerContext=(
+                                  create, createpoly, edit, copy, delete, singleRere, cellreRec, rotateLeft, rotateRight, lock, change_cls),
+                              advancedContext=(createMode, editMode, edit, copy,
+                                               delete, shapeLineColor, shapeFillColor),
+                              onLoadActive=(create, createpoly, createMode, editMode),
+                              onShapesPresent=(hideAll, showAll))
+
+        # menus
+        self.menus = struct(
+            file=self.menu('&' + getStr('mfile')),
+            edit=self.menu('&' + getStr('medit')),
+            view=self.menu('&' + getStr('mview')),
+            autolabel=self.menu('&PaddleOCR'),
+            help=self.menu('&' + getStr('mhelp')),
+            recentFiles=QMenu('Open &Recent'),
+            labelList=labelMenu)
+
+        self.lastLabel = None
+        # Add option to enable/disable labels being displayed at the top of bounding boxes
+        self.displayLabelOption = QAction(getStr('displayLabel'), self)
+        self.displayLabelOption.setShortcut("Ctrl+Shift+P")
+        self.displayLabelOption.setCheckable(True)
+        self.displayLabelOption.setChecked(settings.get(SETTING_PAINT_LABEL, False))
+        self.displayLabelOption.triggered.connect(self.togglePaintLabelsOption)
+
+        # Add option to enable/disable box index being displayed at the top of bounding boxes
+        self.displayIndexOption = QAction(getStr('displayIndex'), self)
+        self.displayIndexOption.setCheckable(True)
+        self.displayIndexOption.setChecked(settings.get(SETTING_PAINT_INDEX, False))
+        self.displayIndexOption.triggered.connect(self.togglePaintIndexOption)
+
+        self.labelDialogOption = QAction(getStr('labelDialogOption'), self)
+        self.labelDialogOption.setShortcut("Ctrl+Shift+L")
+        self.labelDialogOption.setCheckable(True)
+        self.labelDialogOption.setChecked(settings.get(SETTING_PAINT_LABEL, False))
+        self.displayIndexOption.setChecked(settings.get(SETTING_PAINT_INDEX, False))
+        self.labelDialogOption.triggered.connect(self.speedChoose)
+
+        self.autoSaveOption = QAction(getStr('autoSaveMode'), self)
+        self.autoSaveOption.setCheckable(True)
+        self.autoSaveOption.setChecked(settings.get(SETTING_PAINT_LABEL, False))
+        self.displayIndexOption.setChecked(settings.get(SETTING_PAINT_INDEX, False))
+        self.autoSaveOption.triggered.connect(self.autoSaveFunc)
+
+        addActions(self.menus.file,
+                   (opendir, open_dataset_dir, None, saveLabel, saveRec, exportJSON, self.autoSaveOption, None, resetAll, deleteImg,
+                    quit))
+
+        addActions(self.menus.help, (showKeys, showSteps, showInfo))
+        addActions(self.menus.view, (
+            self.displayLabelOption, self.displayIndexOption, self.labelDialogOption,
+            None,
+            hideAll, showAll, None,
+            zoomIn, zoomOut, zoomOrg, None,
+            fitWindow, fitWidth))
+
+        addActions(self.menus.autolabel, (AutoRec, reRec, cellreRec, alcm, None, help))
+
+        self.menus.file.aboutToShow.connect(self.updateFileMenu)
+
+        # Custom context menu for the canvas widget:
+        addActions(self.canvas.menus[0], self.actions.beginnerContext)
+
+        self.statusBar().showMessage('%s started.' % __appname__)
+        self.statusBar().show()
+
+        # Application state.
+        self.image = QImage()
+        self.filePath = ustr(default_filename)
+        self.lastOpenDir = None
+        self.recentFiles = []
+        self.maxRecent = 7
+        self.lineColor = None
+        self.fillColor = None
+        self.zoom_level = 100
+        self.fit_window = False
+        # Add Chris
+        self.difficult = False
+
+        # Fix the compatible issue for qt4 and qt5. Convert the QStringList to python list
+        if settings.get(SETTING_RECENT_FILES):
+            if have_qstring():
+                recentFileQStringList = settings.get(SETTING_RECENT_FILES)
+                self.recentFiles = [ustr(i) for i in recentFileQStringList]
+            else:
+                self.recentFiles = recentFileQStringList = settings.get(SETTING_RECENT_FILES)
+
+        size = settings.get(SETTING_WIN_SIZE, QSize(1200, 800))
+
+        position = QPoint(0, 0)
+        saved_position = settings.get(SETTING_WIN_POSE, position)
+        # Fix the multiple monitors issue
+        for i in range(QApplication.desktop().screenCount()):
+            if QApplication.desktop().availableGeometry(i).contains(saved_position):
+                position = saved_position
+                break
+        self.resize(size)
+        self.move(position)
+        saveDir = ustr(settings.get(SETTING_SAVE_DIR, None))
+        self.lastOpenDir = ustr(settings.get(SETTING_LAST_OPEN_DIR, None))
+
+        self.restoreState(settings.get(SETTING_WIN_STATE, QByteArray()))
+        Shape.line_color = self.lineColor = QColor(settings.get(SETTING_LINE_COLOR, DEFAULT_LINE_COLOR))
+        Shape.fill_color = self.fillColor = QColor(settings.get(SETTING_FILL_COLOR, DEFAULT_FILL_COLOR))
+        self.canvas.setDrawingColor(self.lineColor)
+        # Add chris
+        Shape.difficult = self.difficult
+
+        # ADD:
+        # Populate the File menu dynamically.
+        self.updateFileMenu()
+
+        # Since loading the file may take some time, make sure it runs in the background.
+        if self.filePath and os.path.isdir(self.filePath):
+            self.queueEvent(partial(self.importDirImages, self.filePath or ""))
+        elif self.filePath:
+            self.queueEvent(partial(self.loadFile, self.filePath or ""))
+
+        self.keyDialog = None
+
+        # Callbacks:
+        self.zoomWidget.valueChanged.connect(self.paintCanvas)
+
+        self.populateModeActions()
+
+        # Display cursor coordinates at the right of status bar
+        self.labelCoordinates = QLabel('')
+        self.statusBar().addPermanentWidget(self.labelCoordinates)
+
+        # Open Dir if deafult file
+        if self.filePath and os.path.isdir(self.filePath):
+            self.openDirDialog(dirpath=self.filePath, silent=True)
+
+    def menu(self, title, actions=None):
+        menu = self.menuBar().addMenu(title)
+        if actions:
+            addActions(menu, actions)
+        return menu
+
+    def keyReleaseEvent(self, event):
+        if event.key() == Qt.Key_Control:
+            self.canvas.setDrawingShapeToSquare(False)
+
+    def keyPressEvent(self, event):
+        if event.key() == Qt.Key_Control:
+            # Draw rectangle if Ctrl is pressed
+            self.canvas.setDrawingShapeToSquare(True)
+
+    def noShapes(self):
+        return not self.itemsToShapes
+
+    def populateModeActions(self):
+        self.canvas.menus[0].clear()
+        addActions(self.canvas.menus[0], self.actions.beginnerContext)
+        self.menus.edit.clear()
+        actions = (self.actions.create,)  # if self.beginner() else (self.actions.createMode, self.actions.editMode)
+        addActions(self.menus.edit, actions + self.actions.editMenu)
+
+    def setDirty(self):
+        self.dirty = True
+        self.actions.save.setEnabled(True)
+
+    def setClean(self):
+        self.dirty = False
+        self.actions.save.setEnabled(False)
+        self.actions.create.setEnabled(True)
+        self.actions.createpoly.setEnabled(True)
+
+    def toggleActions(self, value=True):
+        """Enable/Disable widgets which depend on an opened image."""
+        for z in self.actions.zoomActions:
+            z.setEnabled(value)
+        for action in self.actions.onLoadActive:
+            action.setEnabled(value)
+
+    def queueEvent(self, function):
+        QTimer.singleShot(0, function)
+
+    def status(self, message, delay=5000):
+        self.statusBar().showMessage(message, delay)
+
+    def resetState(self):
+        self.itemsToShapes.clear()
+        self.shapesToItems.clear()
+        self.itemsToShapesbox.clear()  # ADD
+        self.shapesToItemsbox.clear()
+        self.labelList.clear()
+        self.BoxList.clear()
+        self.indexList.clear()
+        self.filePath = None
+        self.imageData = None
+        self.labelFile = None
+        self.canvas.resetState()
+        self.labelCoordinates.clear()
+        # self.comboBox.cb.clear()
+        self.result_dic = []
+
+    def currentItem(self):
+        items = self.labelList.selectedItems()
+        if items:
+            return items[0]
+        return None
+
+    def currentBox(self):
+        items = self.BoxList.selectedItems()
+        if items:
+            return items[0]
+        return None
+
+    def addRecentFile(self, filePath):
+        if filePath in self.recentFiles:
+            self.recentFiles.remove(filePath)
+        elif len(self.recentFiles) >= self.maxRecent:
+            self.recentFiles.pop()
+        self.recentFiles.insert(0, filePath)
+
+    def beginner(self):
+        return self._beginner
+
+    def advanced(self):
+        return not self.beginner()
+
+    def getAvailableScreencastViewer(self):
+        osName = platform.system()
+
+        if osName == 'Windows':
+            return ['C:\\Program Files\\Internet Explorer\\iexplore.exe']
+        elif osName == 'Linux':
+            return ['xdg-open']
+        elif osName == 'Darwin':
+            return ['open']
+
+    ## Callbacks ##
+    def showTutorialDialog(self):
+        subprocess.Popen(self.screencastViewer + [self.screencast])
+
+    def showInfoDialog(self):
+        from libs.__init__ import __version__
+        msg = u'Name:{0} \nApp Version:{1} \n{2} '.format(__appname__, __version__, sys.version_info)
+        QMessageBox.information(self, u'Information', msg)
+
+    def showStepsDialog(self):
+        msg = stepsInfo(self.lang)
+        QMessageBox.information(self, u'Information', msg)
+
+    def showKeysDialog(self):
+        msg = keysInfo(self.lang)
+        QMessageBox.information(self, u'Information', msg)
+
+    def createShape(self):
+        assert self.beginner()
+        self.canvas.setEditing(False)
+        self.actions.create.setEnabled(False)
+        self.actions.createpoly.setEnabled(False)
+        self.canvas.fourpoint = False
+
+    def createPolygon(self):
+        assert self.beginner()
+        self.canvas.setEditing(False)
+        self.canvas.fourpoint = True
+        self.actions.create.setEnabled(False)
+        self.actions.createpoly.setEnabled(False)
+        self.actions.undoLastPoint.setEnabled(True)
+
+    def rotateImg(self, filename, k, _value):
+        self.actions.rotateRight.setEnabled(_value)
+        pix = cv2.imread(filename)
+        pix = np.rot90(pix, k)
+        cv2.imwrite(filename, pix)
+        self.canvas.update()
+        self.loadFile(filename)
+
+    def rotateImgWarn(self):
+        if self.lang == 'ch':
+            self.msgBox.warning(self, "提示", "\n 该图片已经有标注框,旋转操作会打乱标注,建议清除标注框后旋转。")
+        else:
+            self.msgBox.warning(self, "Warn", "\n The picture already has a label box, "
+                                              "and rotation will disrupt the label. "
+                                              "It is recommended to clear the label box and rotate it.")
+
+    def rotateImgAction(self, k=1, _value=False):
+
+        filename = self.mImgList[self.currIndex]
+
+        if os.path.exists(filename):
+            if self.itemsToShapesbox:
+                self.rotateImgWarn()
+            else:
+                self.saveFile()
+                self.dirty = False
+                self.rotateImg(filename=filename, k=k, _value=True)
+        else:
+            self.rotateImgWarn()
+            self.actions.rotateRight.setEnabled(False)
+            self.actions.rotateLeft.setEnabled(False)
+
+    def toggleDrawingSensitive(self, drawing=True):
+        """In the middle of drawing, toggling between modes should be disabled."""
+        self.actions.editMode.setEnabled(not drawing)
+        if not drawing and self.beginner():
+            # Cancel creation.
+            print('Cancel creation.')
+            self.canvas.setEditing(True)
+            self.canvas.restoreCursor()
+            self.actions.create.setEnabled(True)
+            self.actions.createpoly.setEnabled(True)
+
+    def toggleDrawMode(self, edit=True):
+        self.canvas.setEditing(edit)
+        self.actions.createMode.setEnabled(edit)
+        self.actions.editMode.setEnabled(not edit)
+
+    def setCreateMode(self):
+        assert self.advanced()
+        self.toggleDrawMode(False)
+
+    def setEditMode(self):
+        assert self.advanced()
+        self.toggleDrawMode(True)
+        self.labelSelectionChanged()
+
+    def updateFileMenu(self):
+        currFilePath = self.filePath
+
+        def exists(filename):
+            return os.path.exists(filename)
+
+        menu = self.menus.recentFiles
+        menu.clear()
+        files = [f for f in self.recentFiles if f !=
+                 currFilePath and exists(f)]
+        for i, f in enumerate(files):
+            icon = newIcon('labels')
+            action = QAction(
+                icon, '&%d %s' % (i + 1, QFileInfo(f).fileName()), self)
+            action.triggered.connect(partial(self.loadRecent, f))
+            menu.addAction(action)
+
+    def popLabelListMenu(self, point):
+        self.menus.labelList.exec_(self.labelList.mapToGlobal(point))
+
+    def editLabel(self):
+        if not self.canvas.editing():
+            return
+        item = self.currentItem()
+        if not item:
+            return
+        text = self.labelDialog.popUp(item.text())
+        if text is not None:
+            item.setText(text)
+            # item.setBackground(generateColorByText(text))
+            self.setDirty()
+            self.updateComboBox()
+
+    # =================== detection box related functions ===================
+    def boxItemChanged(self, item):
+        shape = self.itemsToShapesbox[item]
+
+        box = ast.literal_eval(item.text())
+        # print('shape in labelItemChanged is',shape.points)
+        if box != [(int(p.x()), int(p.y())) for p in shape.points]:
+            # shape.points = box
+            shape.points = [QPointF(p[0], p[1]) for p in box]
+
+            # QPointF(x,y)
+            # shape.line_color = generateColorByText(shape.label)
+            self.setDirty()
+        else:  # User probably changed item visibility
+            self.canvas.setShapeVisible(shape, True)  # item.checkState() == Qt.Checked
+
+    def editBox(self):  # ADD
+        if not self.canvas.editing():
+            return
+        item = self.currentBox()
+        if not item:
+            return
+        text = self.labelDialog.popUp(item.text())
+
+        imageSize = str(self.image.size())
+        width, height = self.image.width(), self.image.height()
+        if text:
+            try:
+                text_list = eval(text)
+            except:
+                msg_box = QMessageBox(QMessageBox.Warning, 'Warning', 'Please enter the correct format')
+                msg_box.exec_()
+                return
+            if len(text_list) < 4:
+                msg_box = QMessageBox(QMessageBox.Warning, 'Warning', 'Please enter the coordinates of 4 points')
+                msg_box.exec_()
+                return
+            for box in text_list:
+                if box[0] > width or box[0] < 0 or box[1] > height or box[1] < 0:
+                    msg_box = QMessageBox(QMessageBox.Warning, 'Warning', 'Out of picture size')
+                    msg_box.exec_()
+                    return
+
+            item.setText(text)
+            # item.setBackground(generateColorByText(text))
+            self.setDirty()
+            self.updateComboBox()
+
+    def updateBoxlist(self):
+        self.canvas.selectedShapes_hShape = []
+        if self.canvas.hShape != None:
+            self.canvas.selectedShapes_hShape = self.canvas.selectedShapes + [self.canvas.hShape]
+        else:
+            self.canvas.selectedShapes_hShape = self.canvas.selectedShapes
+        for shape in self.canvas.selectedShapes_hShape:
+            if shape in self.shapesToItemsbox.keys():
+                item = self.shapesToItemsbox[shape]  # listitem
+                text = [(int(p.x()), int(p.y())) for p in shape.points]
+                item.setText(str(text))
+        self.actions.undo.setEnabled(True)
+        self.setDirty()
+
+    def indexTo5Files(self, currIndex):
+        if currIndex < 2:
+            return self.mImgList[:5]
+        elif currIndex > len(self.mImgList) - 3:
+            return self.mImgList[-5:]
+        else:
+            return self.mImgList[currIndex - 2: currIndex + 3]
+
+    # Tzutalin 20160906 : Add file list and dock to move faster
+    def fileitemDoubleClicked(self, item=None):
+        self.currIndex = self.mImgList.index(ustr(os.path.join(os.path.abspath(self.dirname), item.text())))
+        filename = self.mImgList[self.currIndex]
+        if filename:
+            self.mImgList5 = self.indexTo5Files(self.currIndex)
+            # self.additems5(None)
+            self.loadFile(filename)
+
+    def iconitemDoubleClicked(self, item=None):
+        self.currIndex = self.mImgList.index(ustr(os.path.join(item.toolTip())))
+        filename = self.mImgList[self.currIndex]
+        if filename:
+            self.mImgList5 = self.indexTo5Files(self.currIndex)
+            # self.additems5(None)
+            self.loadFile(filename)
+
+    def CanvasSizeChange(self):
+        if len(self.mImgList) > 0 and self.imageSlider.hasFocus():
+            self.zoomWidget.setValue(self.imageSlider.value())
+
+    def shapeSelectionChanged(self, selected_shapes):
+        self._noSelectionSlot = True
+        for shape in self.canvas.selectedShapes:
+            shape.selected = False
+        self.labelList.clearSelection()
+        self.indexList.clearSelection()
+        self.canvas.selectedShapes = selected_shapes
+        for shape in self.canvas.selectedShapes:
+            shape.selected = True
+            self.shapesToItems[shape].setSelected(True)
+            self.shapesToItemsbox[shape].setSelected(True)
+            index = self.labelList.indexFromItem(self.shapesToItems[shape]).row()
+            self.indexList.item(index).setSelected(True)
+
+        self.labelList.scrollToItem(self.currentItem())  # QAbstractItemView.EnsureVisible
+        # map current label item to index item and select it
+        index = self.labelList.indexFromItem(self.currentItem()).row()
+        self.indexList.scrollToItem(self.indexList.item(index)) 
+        self.BoxList.scrollToItem(self.currentBox())
+
+        if self.kie_mode:
+            if len(self.canvas.selectedShapes) == 1 and self.keyList.count() > 0:
+                selected_key_item_row = self.keyList.findItemsByLabel(self.canvas.selectedShapes[0].key_cls,
+                                                                      get_row=True)
+                if isinstance(selected_key_item_row, list) and len(selected_key_item_row) == 0:
+                    key_text = self.canvas.selectedShapes[0].key_cls
+                    item = self.keyList.createItemFromLabel(key_text)
+                    self.keyList.addItem(item)
+                    rgb = self._get_rgb_by_label(key_text, self.kie_mode)
+                    self.keyList.setItemLabel(item, key_text, rgb)
+                    selected_key_item_row = self.keyList.findItemsByLabel(self.canvas.selectedShapes[0].key_cls,
+                                                                          get_row=True)
+
+                self.keyList.setCurrentRow(selected_key_item_row)
+
+        self._noSelectionSlot = False
+        n_selected = len(selected_shapes)
+        self.actions.singleRere.setEnabled(n_selected)
+        self.actions.cellreRec.setEnabled(n_selected)
+        self.actions.delete.setEnabled(n_selected)
+        self.actions.copy.setEnabled(n_selected)
+        self.actions.edit.setEnabled(n_selected == 1)
+        self.actions.lock.setEnabled(n_selected)
+        self.actions.change_cls.setEnabled(n_selected)
+
+    def addLabel(self, shape):
+        shape.paintLabel = self.displayLabelOption.isChecked()
+        shape.paintIdx = self.displayIndexOption.isChecked()
+
+        item = HashableQListWidgetItem(shape.label)
+        # current difficult checkbox is disenble
+        # item.setFlags(item.flags() | Qt.ItemIsUserCheckable)
+        # item.setCheckState(Qt.Unchecked) if shape.difficult else item.setCheckState(Qt.Checked)
+
+        # Checked means difficult is False
+        # item.setBackground(generateColorByText(shape.label))
+        self.itemsToShapes[item] = shape
+        self.shapesToItems[shape] = item
+        # add current label item index before label string
+        current_index = QListWidgetItem(str(self.labelList.count()))
+        current_index.setTextAlignment(Qt.AlignHCenter)
+        self.indexList.addItem(current_index)
+        self.labelList.addItem(item)
+        # print('item in add label is ',[(p.x(), p.y()) for p in shape.points], shape.label)
+
+        # ADD for box
+        item = HashableQListWidgetItem(str([(int(p.x()), int(p.y())) for p in shape.points]))
+        self.itemsToShapesbox[item] = shape
+        self.shapesToItemsbox[shape] = item
+        self.BoxList.addItem(item)
+        for action in self.actions.onShapesPresent:
+            action.setEnabled(True)
+        self.updateComboBox()
+
+        # update show counting
+        self.BoxListDock.setWindowTitle(self.BoxListDockName + f" ({self.BoxList.count()})")
+        self.labelListDock.setWindowTitle(self.labelListDockName + f" ({self.labelList.count()})")
+
+    def remLabels(self, shapes):
+        if shapes is None:
+            # print('rm empty label')
+            return
+        for shape in shapes:
+            item = self.shapesToItems[shape]
+            self.labelList.takeItem(self.labelList.row(item))
+            del self.shapesToItems[shape]
+            del self.itemsToShapes[item]
+            self.updateComboBox()
+
+            # ADD:
+            item = self.shapesToItemsbox[shape]
+            self.BoxList.takeItem(self.BoxList.row(item))
+            del self.shapesToItemsbox[shape]
+            del self.itemsToShapesbox[item]
+            self.updateComboBox()
+        self.updateIndexList()
+
+    def loadLabels(self, shapes):
+        s = []
+        shape_index = 0
+        for label, points, line_color, key_cls, difficult in shapes:
+            shape = Shape(label=label, line_color=line_color, key_cls=key_cls)
+            for x, y in points:
+
+                # Ensure the labels are within the bounds of the image. If not, fix them.
+                x, y, snapped = self.canvas.snapPointToCanvas(x, y)
+                if snapped:
+                    self.setDirty()
+
+                shape.addPoint(QPointF(x, y))
+            shape.difficult = difficult
+            shape.idx = shape_index
+            shape_index += 1
+            # shape.locked = False
+            shape.close()
+            s.append(shape)
+
+            self._update_shape_color(shape)
+            self.addLabel(shape)
+
+        self.updateComboBox()
+        self.canvas.loadShapes(s)
+
+    def singleLabel(self, shape):
+        if shape is None:
+            # print('rm empty label')
+            return
+        item = self.shapesToItems[shape]
+        item.setText(shape.label)
+        self.updateComboBox()
+
+        # ADD:
+        item = self.shapesToItemsbox[shape]
+        item.setText(str([(int(p.x()), int(p.y())) for p in shape.points]))
+        self.updateComboBox()
+
+    def updateComboBox(self):
+        # Get the unique labels and add them to the Combobox.
+        itemsTextList = [str(self.labelList.item(i).text()) for i in range(self.labelList.count())]
+
+        uniqueTextList = list(set(itemsTextList))
+        # Add a null row for showing all the labels
+        uniqueTextList.append("")
+        uniqueTextList.sort()
+
+        # self.comboBox.update_items(uniqueTextList)
+
+    def updateIndexList(self):
+        self.indexList.clear()
+        for i in range(self.labelList.count()):
+            string = QListWidgetItem(str(i))
+            string.setTextAlignment(Qt.AlignHCenter)
+            self.indexList.addItem(string)
+
+    def saveLabels(self, annotationFilePath, mode='Auto'):
+        # Mode is Auto means that labels will be loaded from self.result_dic totally, which is the output of ocr model
+        annotationFilePath = ustr(annotationFilePath)
+
+        def format_shape(s):
+            # print('s in saveLabels is ',s)
+            return dict(label=s.label,  # str
+                        line_color=s.line_color.getRgb(),
+                        fill_color=s.fill_color.getRgb(),
+                        points=[(int(p.x()), int(p.y())) for p in s.points],  # QPonitF
+                        difficult=s.difficult,
+                        key_cls=s.key_cls)  # bool
+
+        if mode == 'Auto':
+            shapes = []
+        else:
+            shapes = [format_shape(shape) for shape in self.canvas.shapes if shape.line_color != DEFAULT_LOCK_COLOR]
+        # Can add differrent annotation formats here
+        for box in self.result_dic:
+            trans_dic = {"label": box[1][0], "points": box[0], "difficult": False}
+            if self.kie_mode:
+                if len(box) == 3:
+                    trans_dic.update({"key_cls": box[2]})
+                else:
+                    trans_dic.update({"key_cls": "None"})
+            if trans_dic["label"] == "" and mode == 'Auto':
+                continue
+            shapes.append(trans_dic)
+
+        try:
+            trans_dic = []
+            for box in shapes:
+                trans_dict = {"transcription": box['label'], "points": box['points'], "difficult": box['difficult']}
+                if self.kie_mode:
+                    trans_dict.update({"key_cls": box['key_cls']})
+                trans_dic.append(trans_dict)
+            self.PPlabel[annotationFilePath] = trans_dic
+            if mode == 'Auto':
+                self.Cachelabel[annotationFilePath] = trans_dic
+
+            # else:
+            #     self.labelFile.save(annotationFilePath, shapes, self.filePath, self.imageData,
+            #                         self.lineColor.getRgb(), self.fillColor.getRgb())
+            # print('Image:{0} -> Annotation:{1}'.format(self.filePath, annotationFilePath))
+            return True
+        except:
+            self.errorMessage(u'Error saving label data', u'Error saving label data')
+            return False
+
+    def copySelectedShape(self):
+        for shape in self.canvas.copySelectedShape():
+            self.addLabel(shape)
+        # fix copy and delete
+        # self.shapeSelectionChanged(True)
+
+    def move_scrollbar(self, value):
+        self.labelListBar.setValue(value)
+        self.indexListBar.setValue(value)
+
+    def labelSelectionChanged(self):
+        if self._noSelectionSlot:
+            return
+        if self.canvas.editing():
+            selected_shapes = []
+            for item in self.labelList.selectedItems():
+                selected_shapes.append(self.itemsToShapes[item])
+            if selected_shapes:
+                self.canvas.selectShapes(selected_shapes)
+            else:
+                self.canvas.deSelectShape()
+
+    def indexSelectionChanged(self):
+        if self._noSelectionSlot:
+            return
+        if self.canvas.editing():
+            selected_shapes = []
+            for item in self.indexList.selectedItems():
+                # map index item to label item
+                index = self.indexList.indexFromItem(item).row()
+                item = self.labelList.item(index)
+                selected_shapes.append(self.itemsToShapes[item])
+            if selected_shapes:
+                self.canvas.selectShapes(selected_shapes)
+            else:
+                self.canvas.deSelectShape()
+
+    def boxSelectionChanged(self):
+        if self._noSelectionSlot:
+            # self.BoxList.scrollToItem(self.currentBox(), QAbstractItemView.PositionAtCenter)
+            return
+        if self.canvas.editing():
+            selected_shapes = []
+            for item in self.BoxList.selectedItems():
+                selected_shapes.append(self.itemsToShapesbox[item])
+            if selected_shapes:
+                self.canvas.selectShapes(selected_shapes)
+            else:
+                self.canvas.deSelectShape()
+
+    def labelItemChanged(self, item):
+        # avoid accidentally triggering the itemChanged siganl with unhashable item
+        # Unknown trigger condition
+        if type(item) == HashableQListWidgetItem:
+            shape = self.itemsToShapes[item]
+            label = item.text()
+            if label != shape.label:
+                shape.label = item.text()
+                # shape.line_color = generateColorByText(shape.label)
+                self.setDirty()
+            elif not ((item.checkState() == Qt.Unchecked) ^ (not shape.difficult)):
+                shape.difficult = True if item.checkState() == Qt.Unchecked else False
+                self.setDirty()
+            else:  # User probably changed item visibility
+                self.canvas.setShapeVisible(shape, True)  # item.checkState() == Qt.Checked
+                # self.actions.save.setEnabled(True)
+        else:
+            print('enter labelItemChanged slot with unhashable item: ', item, item.text())
+    
+    def drag_drop_happened(self):
+        '''
+        label list drag drop signal slot
+        '''
+        # print('___________________drag_drop_happened_______________')
+        # should only select single item
+        for item in self.labelList.selectedItems():
+            newIndex = self.labelList.indexFromItem(item).row()
+
+        # only support drag_drop one item
+        assert len(self.canvas.selectedShapes) > 0
+        for shape in self.canvas.selectedShapes:
+            selectedShapeIndex = shape.idx
+        
+        if newIndex == selectedShapeIndex:
+            return
+
+        # move corresponding item in shape list
+        shape = self.canvas.shapes.pop(selectedShapeIndex)
+        self.canvas.shapes.insert(newIndex, shape)
+            
+        # update bbox index
+        self.canvas.updateShapeIndex()
+
+        # boxList update simultaneously
+        item = self.BoxList.takeItem(selectedShapeIndex)
+        self.BoxList.insertItem(newIndex, item)
+
+        # changes happen
+        self.setDirty()
+
+    # Callback functions:
+    def newShape(self, value=True):
+        """Pop-up and give focus to the label editor.
+
+        position MUST be in global coordinates.
+        """
+        if len(self.labelHist) > 0:
+            self.labelDialog = LabelDialog(parent=self, listItem=self.labelHist)
+
+        if value:
+            text = self.labelDialog.popUp(text=self.prevLabelText)
+            self.lastLabel = text
+        else:
+            text = self.prevLabelText
+
+        if text is not None:
+            self.prevLabelText = self.stringBundle.getString('tempLabel')
+
+            shape = self.canvas.setLastLabel(text, None, None, None)  # generate_color, generate_color
+            if self.kie_mode:
+                key_text, _ = self.keyDialog.popUp(self.key_previous_text)
+                if key_text is not None:
+                    shape = self.canvas.setLastLabel(text, None, None, key_text)  # generate_color, generate_color
+                    self.key_previous_text = key_text
+                    if not self.keyList.findItemsByLabel(key_text):
+                        item = self.keyList.createItemFromLabel(key_text)
+                        self.keyList.addItem(item)
+                        rgb = self._get_rgb_by_label(key_text, self.kie_mode)
+                        self.keyList.setItemLabel(item, key_text, rgb)
+
+                    self._update_shape_color(shape)
+                    self.keyDialog.addLabelHistory(key_text)
+
+            self.addLabel(shape)
+            if self.beginner():  # Switch to edit mode.
+                self.canvas.setEditing(True)
+                self.actions.create.setEnabled(True)
+                self.actions.createpoly.setEnabled(True)
+                self.actions.undoLastPoint.setEnabled(False)
+                self.actions.undo.setEnabled(True)
+            else:
+                self.actions.editMode.setEnabled(True)
+            self.setDirty()
+
+        else:
+            # self.canvas.undoLastLine()
+            self.canvas.resetAllLines()
+
+    def _update_shape_color(self, shape):
+        r, g, b = self._get_rgb_by_label(shape.key_cls, self.kie_mode)
+        shape.line_color = QColor(r, g, b)
+        shape.vertex_fill_color = QColor(r, g, b)
+        shape.hvertex_fill_color = QColor(255, 255, 255)
+        shape.fill_color = QColor(r, g, b, 128)
+        shape.select_line_color = QColor(255, 255, 255)
+        shape.select_fill_color = QColor(r, g, b, 155)
+
+    def _get_rgb_by_label(self, label, kie_mode):
+        shift_auto_shape_color = 2  # use for random color
+        if kie_mode and label != "None":
+            item = self.keyList.findItemsByLabel(label)[0]
+            label_id = self.keyList.indexFromItem(item).row() + 1
+            label_id += shift_auto_shape_color
+            return LABEL_COLORMAP[label_id % len(LABEL_COLORMAP)]
+        else:
+            return (0, 255, 0)
+
+    def scrollRequest(self, delta, orientation):
+        units = - delta / (8 * 15)
+        bar = self.scrollBars[orientation]
+        bar.setValue(bar.value() + bar.singleStep() * units)
+
+    def setZoom(self, value):
+        self.actions.fitWidth.setChecked(False)
+        self.actions.fitWindow.setChecked(False)
+        self.zoomMode = self.MANUAL_ZOOM
+        self.zoomWidget.setValue(value)
+
+    def addZoom(self, increment=10):
+        self.setZoom(self.zoomWidget.value() + increment)
+        self.imageSlider.setValue(self.zoomWidget.value() + increment)  # set zoom slider value
+
+    def zoomRequest(self, delta):
+        # get the current scrollbar positions
+        # calculate the percentages ~ coordinates
+        h_bar = self.scrollBars[Qt.Horizontal]
+        v_bar = self.scrollBars[Qt.Vertical]
+
+        # get the current maximum, to know the difference after zooming
+        h_bar_max = h_bar.maximum()
+        v_bar_max = v_bar.maximum()
+
+        # get the cursor position and canvas size
+        # calculate the desired movement from 0 to 1
+        # where 0 = move left
+        #       1 = move right
+        # up and down analogous
+        cursor = QCursor()
+        pos = cursor.pos()
+        relative_pos = QWidget.mapFromGlobal(self, pos)
+
+        cursor_x = relative_pos.x()
+        cursor_y = relative_pos.y()
+
+        w = self.scrollArea.width()
+        h = self.scrollArea.height()
+
+        # the scaling from 0 to 1 has some padding
+        # you don't have to hit the very leftmost pixel for a maximum-left movement
+        margin = 0.1
+        move_x = (cursor_x - margin * w) / (w - 2 * margin * w)
+        move_y = (cursor_y - margin * h) / (h - 2 * margin * h)
+
+        # clamp the values from 0 to 1
+        move_x = min(max(move_x, 0), 1)
+        move_y = min(max(move_y, 0), 1)
+
+        # zoom in
+        units = delta / (8 * 15)
+        scale = 10
+        self.addZoom(scale * units)
+
+        # get the difference in scrollbar values
+        # this is how far we can move
+        d_h_bar_max = h_bar.maximum() - h_bar_max
+        d_v_bar_max = v_bar.maximum() - v_bar_max
+
+        # get the new scrollbar values
+        new_h_bar_value = h_bar.value() + move_x * d_h_bar_max
+        new_v_bar_value = v_bar.value() + move_y * d_v_bar_max
+
+        h_bar.setValue(new_h_bar_value)
+        v_bar.setValue(new_v_bar_value)
+
+    def setFitWindow(self, value=True):
+        if value:
+            self.actions.fitWidth.setChecked(False)
+        self.zoomMode = self.FIT_WINDOW if value else self.MANUAL_ZOOM
+        self.adjustScale()
+
+    def setFitWidth(self, value=True):
+        if value:
+            self.actions.fitWindow.setChecked(False)
+        self.zoomMode = self.FIT_WIDTH if value else self.MANUAL_ZOOM
+        self.adjustScale()
+
+    def togglePolygons(self, value):
+        for item, shape in self.itemsToShapes.items():
+            self.canvas.setShapeVisible(shape, value)
+
+    def loadFile(self, filePath=None):
+        """Load the specified file, or the last opened file if None."""
+        if self.dirty:
+            self.mayContinue()
+        self.resetState()
+        self.canvas.setEnabled(False)
+        if filePath is None:
+            filePath = self.settings.get(SETTING_FILENAME)
+
+        # Make sure that filePath is a regular python string, rather than QString
+        filePath = ustr(filePath)
+        # Fix bug: An index error after select a directory when open a new file.
+        unicodeFilePath = ustr(filePath)
+        # unicodeFilePath = os.path.abspath(unicodeFilePath)
+        # Tzutalin 20160906 : Add file list and dock to move faster
+        # Highlight the file item
+
+        if unicodeFilePath and self.fileListWidget.count() > 0:
+            if unicodeFilePath in self.mImgList:
+                index = self.mImgList.index(unicodeFilePath)
+                fileWidgetItem = self.fileListWidget.item(index)
+                print('unicodeFilePath is', unicodeFilePath)
+                fileWidgetItem.setSelected(True)
+                self.iconlist.clear()
+                self.additems5(None)
+
+                for i in range(5):
+                    item_tooltip = self.iconlist.item(i).toolTip()
+                    # print(i,"---",item_tooltip)
+                    if item_tooltip == ustr(filePath):
+                        titem = self.iconlist.item(i)
+                        titem.setSelected(True)
+                        self.iconlist.scrollToItem(titem)
+                        break
+            else:
+                self.fileListWidget.clear()
+                self.mImgList.clear()
+                self.iconlist.clear()
+
+        # if unicodeFilePath and self.iconList.count() > 0:
+        #     if unicodeFilePath in self.mImgList:
+
+        if unicodeFilePath and os.path.exists(unicodeFilePath):
+            self.canvas.verified = False
+            cvimg = cv2.imdecode(np.fromfile(unicodeFilePath, dtype=np.uint8), 1)
+            height, width, depth = cvimg.shape
+            cvimg = cv2.cvtColor(cvimg, cv2.COLOR_BGR2RGB)
+            image = QImage(cvimg.data, width, height, width * depth, QImage.Format_RGB888)
+
+            if image.isNull():
+                self.errorMessage(u'Error opening file',
+                                  u"<p>Make sure <i>%s</i> is a valid image file." % unicodeFilePath)
+                self.status("Error reading %s" % unicodeFilePath)
+                return False
+            self.status("Loaded %s" % os.path.basename(unicodeFilePath))
+            self.image = image
+            self.filePath = unicodeFilePath
+            self.canvas.loadPixmap(QPixmap.fromImage(image))
+
+            if self.validFilestate(filePath) is True:
+                self.setClean()
+            else:
+                self.dirty = False
+                self.actions.save.setEnabled(True)
+            if len(self.canvas.lockedShapes) != 0:
+                self.actions.save.setEnabled(True)
+                self.setDirty()
+            self.canvas.setEnabled(True)
+            self.adjustScale(initial=True)
+            self.paintCanvas()
+            self.addRecentFile(self.filePath)
+            self.toggleActions(True)
+
+            self.showBoundingBoxFromPPlabel(filePath)
+
+            self.setWindowTitle(__appname__ + ' ' + filePath)
+
+            # Default : select last item if there is at least one item
+            if self.labelList.count():
+                self.labelList.setCurrentItem(self.labelList.item(self.labelList.count() - 1))
+                self.labelList.item(self.labelList.count() - 1).setSelected(True)
+                self.indexList.item(self.labelList.count() - 1).setSelected(True)
+
+            # show file list image count
+            select_indexes = self.fileListWidget.selectedIndexes()
+            if len(select_indexes) > 0:
+                self.fileDock.setWindowTitle(self.fileListName + f" ({select_indexes[0].row() + 1}"
+                                                                 f"/{self.fileListWidget.count()})")
+            # update show counting
+            self.BoxListDock.setWindowTitle(self.BoxListDockName + f" ({self.BoxList.count()})")
+            self.labelListDock.setWindowTitle(self.labelListDockName + f" ({self.labelList.count()})")
+
+            self.canvas.setFocus(True)
+            return True
+        return False
+
+    def showBoundingBoxFromPPlabel(self, filePath):
+        width, height = self.image.width(), self.image.height()
+        imgidx = self.getImglabelidx(filePath)
+        shapes = []
+        # box['ratio'] of the shapes saved in lockedShapes contains the ratio of the
+        # four corner coordinates of the shapes to the height and width of the image
+        for box in self.canvas.lockedShapes:
+            key_cls = 'None' if not self.kie_mode else box['key_cls']
+            if self.canvas.isInTheSameImage:
+                shapes.append((box['transcription'], [[s[0] * width, s[1] * height] for s in box['ratio']],
+                               DEFAULT_LOCK_COLOR, key_cls, box['difficult']))
+            else:
+                shapes.append(('锁定框：待检测', [[s[0] * width, s[1] * height] for s in box['ratio']],
+                               DEFAULT_LOCK_COLOR, key_cls, box['difficult']))
+        if imgidx in self.PPlabel.keys():
+            for box in self.PPlabel[imgidx]:
+                key_cls = 'None' if not self.kie_mode else box.get('key_cls', 'None')
+                shapes.append((box['transcription'], box['points'], None, key_cls, box.get('difficult', False)))
+
+        if shapes != []:
+            self.loadLabels(shapes)
+            self.canvas.verified = False
+
+    def validFilestate(self, filePath):
+        if filePath not in self.fileStatedict.keys():
+            return None
+        elif self.fileStatedict[filePath] == 1:
+            return True
+        else:
+            return False
+
+    def resizeEvent(self, event):
+        if self.canvas and not self.image.isNull() \
+                and self.zoomMode != self.MANUAL_ZOOM:
+            self.adjustScale()
+        super(MainWindow, self).resizeEvent(event)
+
+    def paintCanvas(self):
+        assert not self.image.isNull(), "cannot paint null image"
+        self.canvas.scale = 0.01 * self.zoomWidget.value()
+        self.canvas.adjustSize()
+        self.canvas.update()
+
+    def adjustScale(self, initial=False):
+        value = self.scalers[self.FIT_WINDOW if initial else self.zoomMode]()
+        self.zoomWidget.setValue(int(100 * value))
+        self.imageSlider.setValue(self.zoomWidget.value())  # set zoom slider value
+
+    def scaleFitWindow(self):
+        """Figure out the size of the pixmap in order to fit the main widget."""
+        e = 2.0  # So that no scrollbars are generated.
+        w1 = self.centralWidget().width() - e
+        h1 = self.centralWidget().height() - e - 110
+        a1 = w1 / h1
+        # Calculate a new scale value based on the pixmap's aspect ratio.
+        w2 = self.canvas.pixmap.width() - 0.0
+        h2 = self.canvas.pixmap.height() - 0.0
+        a2 = w2 / h2
+        return w1 / w2 if a2 >= a1 else h1 / h2
+
+    def scaleFitWidth(self):
+        # The epsilon does not seem to work too well here.
+        w = self.centralWidget().width() - 2.0
+        return w / self.canvas.pixmap.width()
+
+    def closeEvent(self, event):
+        if not self.mayContinue():
+            event.ignore()
+        else:
+            settings = self.settings
+            # If it loads images from dir, don't load it at the beginning
+            if self.dirname is None:
+                settings[SETTING_FILENAME] = self.filePath if self.filePath else ''
+            else:
+                settings[SETTING_FILENAME] = ''
+
+            settings[SETTING_WIN_SIZE] = self.size()
+            settings[SETTING_WIN_POSE] = self.pos()
+            settings[SETTING_WIN_STATE] = self.saveState()
+            settings[SETTING_LINE_COLOR] = self.lineColor
+            settings[SETTING_FILL_COLOR] = self.fillColor
+            settings[SETTING_RECENT_FILES] = self.recentFiles
+            settings[SETTING_ADVANCE_MODE] = not self._beginner
+            if self.defaultSaveDir and os.path.exists(self.defaultSaveDir):
+                settings[SETTING_SAVE_DIR] = ustr(self.defaultSaveDir)
+            else:
+                settings[SETTING_SAVE_DIR] = ''
+
+            if self.lastOpenDir and os.path.exists(self.lastOpenDir):
+                settings[SETTING_LAST_OPEN_DIR] = self.lastOpenDir
+            else:
+                settings[SETTING_LAST_OPEN_DIR] = ''
+
+            settings[SETTING_PAINT_LABEL] = self.displayLabelOption.isChecked()
+            settings[SETTING_PAINT_INDEX] = self.displayIndexOption.isChecked()
+            settings[SETTING_DRAW_SQUARE] = self.drawSquaresOption.isChecked()
+            settings.save()
+            try:
+                self.saveLabelFile()
+            except:
+                pass
+
+    def loadRecent(self, filename):
+        if self.mayContinue():
+            print(filename, "======")
+            self.loadFile(filename)
+
+    def scanAllImages(self, folderPath):
+        extensions = ['.%s' % fmt.data().decode("ascii").lower() for fmt in QImageReader.supportedImageFormats()]
+        images = []
+
+        for file in os.listdir(folderPath):
+            if file.lower().endswith(tuple(extensions)):
+                relativePath = os.path.join(folderPath, file)
+                path = ustr(os.path.abspath(relativePath))
+                images.append(path)
+        natural_sort(images, key=lambda x: x.lower())
+        return images
+
+    def openDirDialog(self, _value=False, dirpath=None, silent=False):
+        if not self.mayContinue():
+            return
+
+        defaultOpenDirPath = dirpath if dirpath else '.'
+        if self.lastOpenDir and os.path.exists(self.lastOpenDir):
+            defaultOpenDirPath = self.lastOpenDir
+        else:
+            defaultOpenDirPath = os.path.dirname(self.filePath) if self.filePath else '.'
+        if silent != True:
+            targetDirPath = ustr(QFileDialog.getExistingDirectory(self,
+                                                                  '%s - Open Directory' % __appname__,
+                                                                  defaultOpenDirPath,
+                                                                  QFileDialog.ShowDirsOnly | QFileDialog.DontResolveSymlinks))
+        else:
+            targetDirPath = ustr(defaultOpenDirPath)
+        self.lastOpenDir = targetDirPath
+        self.importDirImages(targetDirPath)
+
+    def openDatasetDirDialog(self):
+        if self.lastOpenDir and os.path.exists(self.lastOpenDir):
+            if platform.system() == 'Windows':
+                os.startfile(self.lastOpenDir)
+            else:
+                os.system('open ' + os.path.normpath(self.lastOpenDir))
+            defaultOpenDirPath = self.lastOpenDir
+
+        else:
+            if self.lang == 'ch':
+                self.msgBox.warning(self, "提示", "\n 原文件夹已不存在,请从新选择数据集路径!")
+            else:
+                self.msgBox.warning(self, "Warn",
+                                    "\n The original folder no longer exists, please choose the data set path again!")
+
+            self.actions.open_dataset_dir.setEnabled(False)
+            defaultOpenDirPath = os.path.dirname(self.filePath) if self.filePath else '.'
+
+    def init_key_list(self, label_dict):
+        if not self.kie_mode:
+            return
+        # load key_cls
+        for image, info in label_dict.items():
+            for box in info:
+                if "key_cls" not in box:
+                    box.update({"key_cls": "None"})
+                self.existed_key_cls_set.add(box["key_cls"])
+        if len(self.existed_key_cls_set) > 0:
+            for key_text in self.existed_key_cls_set:
+                if not self.keyList.findItemsByLabel(key_text):
+                    item = self.keyList.createItemFromLabel(key_text)
+                    self.keyList.addItem(item)
+                    rgb = self._get_rgb_by_label(key_text, self.kie_mode)
+                    self.keyList.setItemLabel(item, key_text, rgb)
+
+        if self.keyDialog is None:
+            # key list dialog
+            self.keyDialog = KeyDialog(
+                text=self.key_dialog_tip,
+                parent=self,
+                labels=self.existed_key_cls_set,
+                sort_labels=True,
+                show_text_field=True,
+                completion="startswith",
+                fit_to_content={'column': True, 'row': False},
+                flags=None
+            )
+
+    def importDirImages(self, dirpath, isDelete=False):
+        if not self.mayContinue() or not dirpath:
+            return
+        if self.defaultSaveDir and self.defaultSaveDir != dirpath:
+            self.saveLabelFile()
+
+        if not isDelete:
+            self.loadFilestate(dirpath)
+            self.PPlabelpath = dirpath + '/Label.txt'
+            self.PPlabel = self.loadLabelFile(self.PPlabelpath)
+            self.Cachelabelpath = dirpath + '/Cache.cach'
+            self.Cachelabel = self.loadLabelFile(self.Cachelabelpath)
+            if self.Cachelabel:
+                self.PPlabel = dict(self.Cachelabel, **self.PPlabel)
+
+            self.init_key_list(self.PPlabel)
+
+        self.lastOpenDir = dirpath
+        self.dirname = dirpath
+
+        self.defaultSaveDir = dirpath
+        self.statusBar().showMessage('%s started. Annotation will be saved to %s' %
+                                     (__appname__, self.defaultSaveDir))
+        self.statusBar().show()
+
+        self.filePath = None
+        self.fileListWidget.clear()
+        self.mImgList = self.scanAllImages(dirpath)
+        self.mImgList5 = self.mImgList[:5]
+        self.openNextImg()
+        doneicon = newIcon('done')
+        closeicon = newIcon('close')
+        for imgPath in self.mImgList:
+            filename = os.path.basename(imgPath)
+            if self.validFilestate(imgPath) is True:
+                item = QListWidgetItem(doneicon, filename)
+            else:
+                item = QListWidgetItem(closeicon, filename)
+            self.fileListWidget.addItem(item)
+
+        print('DirPath in importDirImages is', dirpath)
+        self.iconlist.clear()
+        self.additems5(dirpath)
+        self.changeFileFolder = True
+        self.haveAutoReced = False
+        self.AutoRecognition.setEnabled(True)
+        self.reRecogButton.setEnabled(True)
+        self.tableRecButton.setEnabled(True)
+        self.actions.AutoRec.setEnabled(True)
+        self.actions.reRec.setEnabled(True)
+        self.actions.tableRec.setEnabled(True)
+        self.actions.open_dataset_dir.setEnabled(True)
+        self.actions.rotateLeft.setEnabled(True)
+        self.actions.rotateRight.setEnabled(True)
+
+        self.fileListWidget.setCurrentRow(0)  # set list index to first
+        self.fileDock.setWindowTitle(self.fileListName + f" (1/{self.fileListWidget.count()})")  # show image count
+
+    def openPrevImg(self, _value=False):
+        if len(self.mImgList) <= 0:
+            return
+
+        if self.filePath is None:
+            return
+
+        currIndex = self.mImgList.index(self.filePath)
+        self.mImgList5 = self.mImgList[:5]
+        if currIndex - 1 >= 0:
+            filename = self.mImgList[currIndex - 1]
+            self.mImgList5 = self.indexTo5Files(currIndex - 1)
+            if filename:
+                self.loadFile(filename)
+
+    def openNextImg(self, _value=False):
+        if not self.mayContinue():
+            return
+
+        if len(self.mImgList) <= 0:
+            return
+
+        filename = None
+        if self.filePath is None:
+            filename = self.mImgList[0]
+            self.mImgList5 = self.mImgList[:5]
+        else:
+            currIndex = self.mImgList.index(self.filePath)
+            if currIndex + 1 < len(self.mImgList):
+                filename = self.mImgList[currIndex + 1]
+                self.mImgList5 = self.indexTo5Files(currIndex + 1)
+            else:
+                self.mImgList5 = self.indexTo5Files(currIndex)
+        if filename:
+            print('file name in openNext is ', filename)
+            self.loadFile(filename)
+
+    def updateFileListIcon(self, filename):
+        pass
+
+    def saveFile(self, _value=False, mode='Manual'):
+        # Manual mode is used for users click "Save" manually,which will change the state of the image
+        if self.filePath:
+            imgidx = self.getImglabelidx(self.filePath)
+            self._saveFile(imgidx, mode=mode)
+
+    def saveLockedShapes(self):
+        self.canvas.lockedShapes = []
+        self.canvas.selectedShapes = []
+        for s in self.canvas.shapes:
+            if s.line_color == DEFAULT_LOCK_COLOR:
+                self.canvas.selectedShapes.append(s)
+        self.lockSelectedShape()
+        for s in self.canvas.shapes:
+            if s.line_color == DEFAULT_LOCK_COLOR:
+                self.canvas.selectedShapes.remove(s)
+                self.canvas.shapes.remove(s)
+
+    def _saveFile(self, annotationFilePath, mode='Manual'):
+        if len(self.canvas.lockedShapes) != 0:
+            self.saveLockedShapes()
+
+        if mode == 'Manual':
+            self.result_dic_locked = []
+            img = cv2.imread(self.filePath)
+            width, height = self.image.width(), self.image.height()
+            for shape in self.canvas.lockedShapes:
+                box = [[int(p[0] * width), int(p[1] * height)] for p in shape['ratio']]
+                # assert len(box) == 4
+                result = [(shape['transcription'], 1)]
+                result.insert(0, box)
+                self.result_dic_locked.append(result)
+            self.result_dic += self.result_dic_locked
+            self.result_dic_locked = []
+            if annotationFilePath and self.saveLabels(annotationFilePath, mode=mode):
+                self.setClean()
+                self.statusBar().showMessage('Saved to  %s' % annotationFilePath)
+                self.statusBar().show()
+                currIndex = self.mImgList.index(self.filePath)
+                item = self.fileListWidget.item(currIndex)
+                item.setIcon(newIcon('done'))
+
+                self.fileStatedict[self.filePath] = 1
+                if len(self.fileStatedict) % self.autoSaveNum == 0:
+                    self.saveFilestate()
+                    self.savePPlabel(mode='Auto')
+
+                self.fileListWidget.insertItem(int(currIndex), item)
+                if not self.canvas.isInTheSameImage:
+                    self.openNextImg()
+                self.actions.saveRec.setEnabled(True)
+                self.actions.saveLabel.setEnabled(True)
+                self.actions.exportJSON.setEnabled(True) 
+
+        elif mode == 'Auto':
+            if annotationFilePath and self.saveLabels(annotationFilePath, mode=mode):
+                self.setClean()
+                self.statusBar().showMessage('Saved to  %s' % annotationFilePath)
+                self.statusBar().show()
+
+    def closeFile(self, _value=False):
+        if not self.mayContinue():
+            return
+        self.resetState()
+        self.setClean()
+        self.toggleActions(False)
+        self.canvas.setEnabled(False)
+        self.actions.saveAs.setEnabled(False)
+
+    def deleteImg(self):
+        deletePath = self.filePath
+        if deletePath is not None:
+            deleteInfo = self.deleteImgDialog()
+            if deleteInfo == QMessageBox.Yes:
+                if platform.system() == 'Windows':
+                    from win32com.shell import shell, shellcon
+                    shell.SHFileOperation((0, shellcon.FO_DELETE, deletePath, None,
+                                           shellcon.FOF_SILENT | shellcon.FOF_ALLOWUNDO | shellcon.FOF_NOCONFIRMATION,
+                                           None, None))
+                    # linux
+                elif platform.system() == 'Linux':
+                    cmd = 'trash ' + deletePath
+                    os.system(cmd)
+                    # macOS
+                elif platform.system() == 'Darwin':
+                    import subprocess
+                    absPath = os.path.abspath(deletePath).replace('\\', '\\\\').replace('"', '\\"')
+                    cmd = ['osascript', '-e',
+                           'tell app "Finder" to move {the POSIX file "' + absPath + '"} to trash']
+                    print(cmd)
+                    subprocess.call(cmd, stdout=open(os.devnull, 'w'))
+
+                if self.filePath in self.fileStatedict.keys():
+                    self.fileStatedict.pop(self.filePath)
+                imgidx = self.getImglabelidx(self.filePath)
+                if imgidx in self.PPlabel.keys():
+                    self.PPlabel.pop(imgidx)
+                self.openNextImg()
+                self.importDirImages(self.lastOpenDir, isDelete=True)
+
+    def deleteImgDialog(self):
+        yes, cancel = QMessageBox.Yes, QMessageBox.Cancel
+        msg = u'The image will be deleted to the recycle bin'
+        return QMessageBox.warning(self, u'Attention', msg, yes | cancel)
+
+    def resetAll(self):
+        self.settings.reset()
+        self.close()
+        proc = QProcess()
+        proc.startDetached(os.path.abspath(__file__))
+
+    def mayContinue(self):  #
+        if not self.dirty:
+            return True
+        else:
+            discardChanges = self.discardChangesDialog()
+            if discardChanges == QMessageBox.No:
+                return True
+            elif discardChanges == QMessageBox.Yes:
+                self.canvas.isInTheSameImage = True
+                self.saveFile()
+                self.canvas.isInTheSameImage = False
+                return True
+            else:
+                return False
+
+    def discardChangesDialog(self):
+        yes, no, cancel = QMessageBox.Yes, QMessageBox.No, QMessageBox.Cancel
+        if self.lang == 'ch':
+            msg = u'您有未保存的变更, 您想保存再继续吗?\n点击 "No" 丢弃所有未保存的变更.'
+        else:
+            msg = u'You have unsaved changes, would you like to save them and proceed?\nClick "No" to undo all changes.'
+        return QMessageBox.warning(self, u'Attention', msg, yes | no | cancel)
+
+    def errorMessage(self, title, message):
+        return QMessageBox.critical(self, title,
+                                    '<p><b>%s</b></p>%s' % (title, message))
+
+    def currentPath(self):
+        return os.path.dirname(self.filePath) if self.filePath else '.'
+
+    def chooseColor(self):
+        color = self.colorDialog.getColor(self.lineColor, u'Choose line color',
+                                          default=DEFAULT_LINE_COLOR)
+        if color:
+            self.lineColor = color
+            Shape.line_color = color
+            self.canvas.setDrawingColor(color)
+            self.canvas.update()
+            self.setDirty()
+
+    def deleteSelectedShape(self):
+        self.remLabels(self.canvas.deleteSelected())
+        self.actions.undo.setEnabled(True)
+        self.setDirty()
+        if self.noShapes():
+            for action in self.actions.onShapesPresent:
+                action.setEnabled(False)
+        self.BoxListDock.setWindowTitle(self.BoxListDockName + f" ({self.BoxList.count()})")
+        self.labelListDock.setWindowTitle(self.labelListDockName + f" ({self.labelList.count()})")
+
+    def chshapeLineColor(self):
+        color = self.colorDialog.getColor(self.lineColor, u'Choose line color',
+                                          default=DEFAULT_LINE_COLOR)
+        if color:
+            for shape in self.canvas.selectedShapes: shape.line_color = color
+            self.canvas.update()
+            self.setDirty()
+
+    def chshapeFillColor(self):
+        color = self.colorDialog.getColor(self.fillColor, u'Choose fill color',
+                                          default=DEFAULT_FILL_COLOR)
+        if color:
+            for shape in self.canvas.selectedShapes: shape.fill_color = color
+            self.canvas.update()
+            self.setDirty()
+
+    def copyShape(self):
+        self.canvas.endMove(copy=True)
+        self.addLabel(self.canvas.selectedShape)
+        self.setDirty()
+
+    def moveShape(self):
+        self.canvas.endMove(copy=False)
+        self.setDirty()
+
+    def loadPredefinedClasses(self, predefClassesFile):
+        if os.path.exists(predefClassesFile) is True:
+            with codecs.open(predefClassesFile, 'r', 'utf8') as f:
+                for line in f:
+                    line = line.strip()
+                    if self.labelHist is None:
+                        self.labelHist = [line]
+                    else:
+                        self.labelHist.append(line)
+
+    def togglePaintLabelsOption(self):
+        self.displayIndexOption.setChecked(False)
+        for shape in self.canvas.shapes:
+            shape.paintLabel = self.displayLabelOption.isChecked()
+            shape.paintIdx = self.displayIndexOption.isChecked()
+        self.canvas.repaint()
+
+    def togglePaintIndexOption(self):
+        self.displayLabelOption.setChecked(False)
+        for shape in self.canvas.shapes:
+            shape.paintLabel = self.displayLabelOption.isChecked()
+            shape.paintIdx = self.displayIndexOption.isChecked()
+        self.canvas.repaint()
+
+    def toogleDrawSquare(self):
+        self.canvas.setDrawingShapeToSquare(self.drawSquaresOption.isChecked())
+
+    def additems(self, dirpath):
+        for file in self.mImgList:
+            pix = QPixmap(file)
+            _, filename = os.path.split(file)
+            filename, _ = os.path.splitext(filename)
+            item = QListWidgetItem(QIcon(pix.scaled(100, 100, Qt.IgnoreAspectRatio, Qt.FastTransformation)),
+                                   filename[:10])
+            item.setToolTip(file)
+            self.iconlist.addItem(item)
+
+    def additems5(self, dirpath):
+        for file in self.mImgList5:
+            pix = QPixmap(file)
+            _, filename = os.path.split(file)
+            filename, _ = os.path.splitext(filename)
+            pfilename = filename[:10]
+            if len(pfilename) < 10:
+                lentoken = 12 - len(pfilename)
+                prelen = lentoken // 2
+                bfilename = prelen * " " + pfilename + (lentoken - prelen) * " "
+            # item = QListWidgetItem(QIcon(pix.scaled(100, 100, Qt.KeepAspectRatio, Qt.SmoothTransformation)),filename[:10])
+            item = QListWidgetItem(QIcon(pix.scaled(100, 100, Qt.IgnoreAspectRatio, Qt.FastTransformation)), pfilename)
+            # item.setForeground(QBrush(Qt.white))
+            item.setToolTip(file)
+            self.iconlist.addItem(item)
+        owidth = 0
+        for index in range(len(self.mImgList5)):
+            item = self.iconlist.item(index)
+            itemwidget = self.iconlist.visualItemRect(item)
+            owidth += itemwidget.width()
+        self.iconlist.setMinimumWidth(owidth + 50)
+
+    def gen_quad_from_poly(self, poly):
+        """
+        Generate min area quad from poly.
+        """
+        point_num = poly.shape[0]
+        min_area_quad = np.zeros((4, 2), dtype=np.float32)
+        rect = cv2.minAreaRect(poly.astype(
+            np.int32))  # (center (x,y), (width, height), angle of rotation)
+        box = np.array(cv2.boxPoints(rect))
+
+        first_point_idx = 0
+        min_dist = 1e4
+        for i in range(4):
+            dist = np.linalg.norm(box[(i + 0) % 4] - poly[0]) + \
+                   np.linalg.norm(box[(i + 1) % 4] - poly[point_num // 2 - 1]) + \
+                   np.linalg.norm(box[(i + 2) % 4] - poly[point_num // 2]) + \
+                   np.linalg.norm(box[(i + 3) % 4] - poly[-1])
+            if dist < min_dist:
+                min_dist = dist
+                first_point_idx = i
+        for i in range(4):
+            min_area_quad[i] = box[(first_point_idx + i) % 4]
+
+        bbox_new = min_area_quad.tolist()
+        bbox = []
+
+        for box in bbox_new:
+            box = list(map(int, box))
+            bbox.append(box)
+
+        return bbox
+
+    def getImglabelidx(self, filePath):
+        if platform.system() == 'Windows':
+            spliter = '\\'
+        else:
+            spliter = '/'
+        filepathsplit = filePath.split(spliter)[-2:]
+        return filepathsplit[0] + '/' + filepathsplit[1]
+
+    def autoRecognition(self):
+        assert self.mImgList is not None
+        print('Using model from ', self.model)
+
+        uncheckedList = [i for i in self.mImgList if i not in self.fileStatedict.keys()]
+        self.autoDialog = AutoDialog(parent=self, ocr=self.ocr, mImgList=uncheckedList, lenbar=len(uncheckedList))
+        self.autoDialog.popUp()
+        self.currIndex = len(self.mImgList) - 1
+        self.loadFile(self.filePath)  # ADD
+        self.haveAutoReced = True
+        self.AutoRecognition.setEnabled(False)
+        self.actions.AutoRec.setEnabled(False)
+        self.setDirty()
+        self.saveCacheLabel()
+
+        self.init_key_list(self.Cachelabel)
+
+    def reRecognition(self):
+        img = cv2.imdecode(np.fromfile(self.filePath,dtype=np.uint8),1)
+        # org_box = [dic['points'] for dic in self.PPlabel[self.getImglabelidx(self.filePath)]]
+        if self.canvas.shapes:
+            self.result_dic = []
+            self.result_dic_locked = []  # result_dic_locked stores the ocr result of self.canvas.lockedShapes
+            rec_flag = 0
+            for shape in self.canvas.shapes:
+                box = [[int(p.x()), int(p.y())] for p in shape.points]
+                kie_cls = shape.key_cls
+
+                if len(box) > 4:
+                    box = self.gen_quad_from_poly(np.array(box))
+                assert len(box) == 4
+
+                img_crop = get_rotate_crop_image(img, np.array(box, np.float32))
+                if img_crop is None:
+                    msg = 'Can not recognise the detection box in ' + self.filePath + '. Please change manually'
+                    QMessageBox.information(self, "Information", msg)
+                    return
+                result = self.ocr.ocr(img_crop, cls=True, det=False)[0]
+                if result[0][0] != '':
+                    if shape.line_color == DEFAULT_LOCK_COLOR:
+                        shape.label = result[0][0]
+                        result.insert(0, box)
+                        if self.kie_mode:
+                            result.append(kie_cls)
+                        self.result_dic_locked.append(result)
+                    else:
+                        result.insert(0, box)
+                        if self.kie_mode:
+                            result.append(kie_cls)
+                        self.result_dic.append(result)
+                else:
+                    print('Can not recognise the box')
+                    if shape.line_color == DEFAULT_LOCK_COLOR:
+                        shape.label = result[0][0]
+                        if self.kie_mode:
+                            self.result_dic_locked.append([box, (self.noLabelText, 0), kie_cls])
+                        else:
+                            self.result_dic_locked.append([box, (self.noLabelText, 0)])
+                    else:
+                        if self.kie_mode:
+                            self.result_dic.append([box, (self.noLabelText, 0), kie_cls])
+                        else:
+                            self.result_dic.append([box, (self.noLabelText, 0)])
+                try:
+                    if self.noLabelText == shape.label or result[1][0] == shape.label:
+                        print('label no change')
+                    else:
+                        rec_flag += 1
+                except IndexError as e:
+                    print('Can not recognise the box')
+            if (len(self.result_dic) > 0 and rec_flag > 0) or self.canvas.lockedShapes:
+                self.canvas.isInTheSameImage = True
+                self.saveFile(mode='Auto')
+                self.loadFile(self.filePath)
+                self.canvas.isInTheSameImage = False
+                self.setDirty()
+            elif len(self.result_dic) == len(self.canvas.shapes) and rec_flag == 0:
+                if self.lang == 'ch':
+                    QMessageBox.information(self, "Information", "识别结果保持一致！")
+                else:
+                    QMessageBox.information(self, "Information", "The recognition result remains unchanged!")
+            else:
+                print('Can not recgonise in ', self.filePath)
+        else:
+            QMessageBox.information(self, "Information", "Draw a box!")
+
+    def singleRerecognition(self):
+        img = cv2.imdecode(np.fromfile(self.filePath,dtype=np.uint8),1)
+        for shape in self.canvas.selectedShapes:
+            box = [[int(p.x()), int(p.y())] for p in shape.points]
+            if len(box) > 4:
+                box = self.gen_quad_from_poly(np.array(box))
+            assert len(box) == 4
+            img_crop = get_rotate_crop_image(img, np.array(box, np.float32))
+            if img_crop is None:
+                msg = 'Can not recognise the detection box in ' + self.filePath + '. Please change manually'
+                QMessageBox.information(self, "Information", msg)
+                return
+            result = self.ocr.ocr(img_crop, cls=True, det=False)[0]
+            if result[0][0] != '':
+                result.insert(0, box)
+                print('result in reRec is ', result)
+                if result[1][0] == shape.label:
+                    print('label no change')
+                else:
+                    shape.label = result[1][0]
+            else:
+                print('Can not recognise the box')
+                if self.noLabelText == shape.label:
+                    print('label no change')
+                else:
+                    shape.label = self.noLabelText
+            self.singleLabel(shape)
+            self.setDirty()
+
+    def TableRecognition(self):
+        '''
+            Table Recegnition
+        '''
+        from paddleocr import to_excel
+
+        import time
+
+        start = time.time()
+        img = cv2.imread(self.filePath)
+        res = self.table_ocr(img, return_ocr_result_in_table=True)
+
+        TableRec_excel_dir = self.lastOpenDir + '/tableRec_excel_output/'
+        os.makedirs(TableRec_excel_dir, exist_ok=True)
+        filename, _ = os.path.splitext(os.path.basename(self.filePath))
+
+        excel_path = TableRec_excel_dir + '{}.xlsx'.format(filename)
+        
+        if res is None:
+            msg = 'Can not recognise the table in ' + self.filePath + '. Please change manually'
+            QMessageBox.information(self, "Information", msg)
+            to_excel('', excel_path) # create an empty excel
+            return
+        
+        # save res
+        # ONLY SUPPORT ONE TABLE in one image
+        hasTable = False
+        for region in res:
+            if region['type'] == 'table':
+                if region['res']['boxes'] is None:
+                    msg = 'Can not recognise the detection box in ' + self.filePath + '. Please change manually'
+                    QMessageBox.information(self, "Information", msg)
+                    to_excel('', excel_path) # create an empty excel
+                    return
+                hasTable = True
+                # save table ocr result on PPOCRLabel
+                # clear all old annotaions before saving result
+                self.itemsToShapes.clear()
+                self.shapesToItems.clear()
+                self.itemsToShapesbox.clear()  # ADD
+                self.shapesToItemsbox.clear()
+                self.labelList.clear()
+                self.indexList.clear()
+                self.BoxList.clear()
+                self.result_dic = []
+                self.result_dic_locked = []
+
+                shapes = []
+                result_len = len(region['res']['boxes'])
+                order_index = 0
+                for i in range(result_len):
+                    bbox = np.array(region['res']['boxes'][i])
+                    rec_text = region['res']['rec_res'][i][0]
+
+                    rext_bbox = [[bbox[0], bbox[1]], [bbox[2], bbox[1]], [bbox[2], bbox[3]], [bbox[0], bbox[3]]]
+
+                    # save bbox to shape
+                    shape = Shape(label=rec_text, line_color=DEFAULT_LINE_COLOR, key_cls=None)
+                    for point in rext_bbox:
+                        x, y = point
+                        # Ensure the labels are within the bounds of the image. 
+                        # If not, fix them.
+                        x, y, snapped = self.canvas.snapPointToCanvas(x, y)
+                        shape.addPoint(QPointF(x, y))
+                    shape.difficult = False
+                    shape.idx = order_index
+                    order_index += 1
+                    # shape.locked = False
+                    shape.close()
+                    self.addLabel(shape)
+                    shapes.append(shape)
+                self.setDirty()
+                self.canvas.loadShapes(shapes)
+                
+                # save HTML result to excel
+                try:
+                    to_excel(region['res']['html'], excel_path)
+                except:
+                    print('Can not save excel file, maybe Permission denied (.xlsx is being occupied)')
+                break
+        
+        if not hasTable:
+            msg = 'Can not recognise the table in ' + self.filePath + '. Please change manually'
+            QMessageBox.information(self, "Information", msg)
+            to_excel('', excel_path) # create an empty excel
+            return
+
+        # automatically open excel annotation file
+        if platform.system() == 'Windows':
+            try:
+                import win32com.client
+            except:
+                print("CANNOT OPEN .xlsx. It could be one of the following reasons: " \
+                    "Only support Windows | No python win32com")
+
+            try:
+                xl = win32com.client.Dispatch("Excel.Application")
+                xl.Visible = True
+                xl.Workbooks.Open(excel_path)
+                # excelEx = "You need to show the excel executable at this point"
+                # subprocess.Popen([excelEx, excel_path])
+
+                # os.startfile(excel_path)
+            except:
+                print("CANNOT OPEN .xlsx. It could be the following reasons: " \
+                    ".xlsx is not existed")
+        else:
+            os.system('open ' + os.path.normpath(excel_path))
+                
+        print('time cost: ', time.time() - start)
+
+    def cellreRecognition(self):
+        '''
+            re-recognise text in a cell
+        '''
+        img = cv2.imread(self.filePath)
+        for shape in self.canvas.selectedShapes:
+            box = [[int(p.x()), int(p.y())] for p in shape.points]
+
+            if len(box) > 4:
+                box = self.gen_quad_from_poly(np.array(box))
+            assert len(box) == 4
+
+            # pad around bbox for better text recognition accuracy
+            _box = boxPad(box, img.shape, 6)
+            img_crop = get_rotate_crop_image(img, np.array(_box, np.float32))
+            if img_crop is None:
+                msg = 'Can not recognise the detection box in ' + self.filePath + '. Please change manually'
+                QMessageBox.information(self, "Information", msg)
+                return
+
+            # merge the text result in the cell
+            texts = ''
+            probs = 0. # the probability of the cell is avgerage prob of every text box in the cell
+            bboxes = self.ocr.ocr(img_crop, det=True, rec=False, cls=False)[0]
+            if len(bboxes) > 0:
+                bboxes.reverse() # top row text at first
+                for _bbox in bboxes:
+                    patch = get_rotate_crop_image(img_crop, np.array(_bbox, np.float32))
+                    rec_res = self.ocr.ocr(patch, det=False, rec=True, cls=False)[0]
+                    text = rec_res[0][0]
+                    if text != '':
+                        texts += text + ('' if text[0].isalpha() else ' ') # add space between english word
+                        probs += rec_res[0][1]
+                probs = probs / len(bboxes)
+            result = [(texts.strip(), probs)]
+
+            if result[0][0] != '':
+                result.insert(0, box)
+                print('result in reRec is ', result)
+                if result[1][0] == shape.label:
+                    print('label no change')
+                else:
+                    shape.label = result[1][0]
+            else:
+                print('Can not recognise the box')
+                if self.noLabelText == shape.label:
+                    print('label no change')
+                else:
+                    shape.label = self.noLabelText
+            self.singleLabel(shape)
+            self.setDirty()
+
+    def exportJSON(self):
+        '''
+            export PPLabel and CSV to JSON (PubTabNet)
+        '''
+        import pandas as pd
+
+        # automatically save annotations
+        self.saveFilestate()
+        self.savePPlabel(mode='auto')
+
+        # load box annotations
+        labeldict = {}
+        if not os.path.exists(self.PPlabelpath):
+            msg = 'ERROR, Can not find Label.txt'
+            QMessageBox.information(self, "Information", msg)
+            return
+        else:
+            with open(self.PPlabelpath, 'r', encoding='utf-8') as f:
+                data = f.readlines()
+                for each in data:
+                    file, label = each.split('\t')
+                    if label:
+                        label = label.replace('false', 'False')
+                        label = label.replace('true', 'True')
+                        labeldict[file] = eval(label)
+                    else:
+                        labeldict[file] = []
+        
+        # read table recognition output
+        TableRec_excel_dir = os.path.join(
+            self.lastOpenDir, 'tableRec_excel_output')
+
+        # save txt
+        fid = open(
+            "{}/gt.txt".format(self.lastOpenDir), "w", encoding='utf-8')
+        for image_path in labeldict.keys():
+            # load csv annotations
+            filename, _ = os.path.splitext(os.path.basename(image_path))
+            csv_path = os.path.join(
+                TableRec_excel_dir, filename + '.xlsx')
+            if not os.path.exists(csv_path):
+                continue
+
+            excel = xlrd.open_workbook(csv_path)
+            sheet0 = excel.sheet_by_index(0)  # only sheet 0
+            merged_cells = sheet0.merged_cells # (0,1,1,3) start row, end row, start col, end col
+
+            html_list = [['td'] * sheet0.ncols for i in range(sheet0.nrows)]
+
+            for merged in merged_cells:
+                html_list = expand_list(merged, html_list)
+
+            token_list = convert_token(html_list)
+
+            # load box annotations
+            cells = []
+            for anno in labeldict[image_path]:
+                tokens = list(anno['transcription'])
+                cells.append({
+                    'tokens': tokens, 
+                    'bbox': anno['points']
+                    })
+
+            # 构造标注信息
+            html = {
+                'structure': {
+                    'tokens': token_list
+                    }, 
+                'cells': cells
+                }
+            d = {
+                'filename': os.path.basename(image_path), 
+                'html': html
+                }
+            # 重构HTML
+            d['gt'] = rebuild_html_from_ppstructure_label(d)
+            fid.write('{}\n'.format(
+                json.dumps(
+                    d, ensure_ascii=False)))
+                    
+        # convert to PP-Structure label format
+        fid.close()
+        msg = 'JSON sucessfully saved in {}/gt.txt'.format(self.lastOpenDir)
+        QMessageBox.information(self, "Information", msg)
+
+    def autolcm(self):
+        vbox = QVBoxLayout()
+        hbox = QHBoxLayout()
+        self.panel = QLabel()
+        self.panel.setText(self.stringBundle.getString('choseModelLg'))
+        self.panel.setAlignment(Qt.AlignLeft)
+        self.comboBox = QComboBox()
+        self.comboBox.setObjectName("comboBox")
+        self.comboBox.addItems(['Chinese & English', 'English', 'French', 'German', 'Korean', 'Japanese'])
+        vbox.addWidget(self.panel)
+        vbox.addWidget(self.comboBox)
+        self.dialog = QDialog()
+        self.dialog.resize(300, 100)
+        self.okBtn = QPushButton(self.stringBundle.getString('ok'))
+        self.cancelBtn = QPushButton(self.stringBundle.getString('cancel'))
+
+        self.okBtn.clicked.connect(self.modelChoose)
+        self.cancelBtn.clicked.connect(self.cancel)
+        self.dialog.setWindowTitle(self.stringBundle.getString('choseModelLg'))
+
+        hbox.addWidget(self.okBtn)
+        hbox.addWidget(self.cancelBtn)
+
+        vbox.addWidget(self.panel)
+        vbox.addLayout(hbox)
+        self.dialog.setLayout(vbox)
+        self.dialog.setWindowModality(Qt.ApplicationModal)
+        self.dialog.exec_()
+        if self.filePath:
+            self.AutoRecognition.setEnabled(True)
+            self.actions.AutoRec.setEnabled(True)
+
+    def modelChoose(self):
+        print(self.comboBox.currentText())
+        lg_idx = {'Chinese & English': 'ch', 'English': 'en', 'French': 'french', 'German': 'german',
+                  'Korean': 'korean', 'Japanese': 'japan'}
+        del self.ocr
+        self.ocr = PaddleOCR(use_pdserving=False, use_angle_cls=True, det=True, cls=True, use_gpu=False,
+                             lang=lg_idx[self.comboBox.currentText()])
+        del self.table_ocr
+        self.table_ocr = PPStructure(use_pdserving=False,
+                                     use_gpu=False,
+                                     lang=lg_idx[self.comboBox.currentText()],
+                                     layout=False,
+                                     show_log=False)
+        self.dialog.close()
+
+    def cancel(self):
+        self.dialog.close()
+
+    def loadFilestate(self, saveDir):
+        self.fileStatepath = saveDir + '/fileState.txt'
+        self.fileStatedict = {}
+        if not os.path.exists(self.fileStatepath):
+            f = open(self.fileStatepath, 'w', encoding='utf-8')
+        else:
+            with open(self.fileStatepath, 'r', encoding='utf-8') as f:
+                states = f.readlines()
+                for each in states:
+                    file, state = each.split('\t')
+                    self.fileStatedict[file] = 1
+                self.actions.saveLabel.setEnabled(True)
+                self.actions.saveRec.setEnabled(True)
+                self.actions.exportJSON.setEnabled(True)
+
+    def saveFilestate(self):
+        with open(self.fileStatepath, 'w', encoding='utf-8') as f:
+            for key in self.fileStatedict:
+                f.write(key + '\t')
+                f.write(str(self.fileStatedict[key]) + '\n')
+
+    def loadLabelFile(self, labelpath):
+        labeldict = {}
+        if not os.path.exists(labelpath):
+            f = open(labelpath, 'w', encoding='utf-8')
+
+        else:
+            with open(labelpath, 'r', encoding='utf-8') as f:
+                data = f.readlines()
+                for each in data:
+                    file, label = each.split('\t')
+                    if label:
+                        label = label.replace('false', 'False')
+                        label = label.replace('true', 'True')
+                        labeldict[file] = eval(label)
+                    else:
+                        labeldict[file] = []
+        return labeldict
+
+    def savePPlabel(self, mode='Manual'):
+        savedfile = [self.getImglabelidx(i) for i in self.fileStatedict.keys()]
+        with open(self.PPlabelpath, 'w', encoding='utf-8') as f:
+            for key in self.PPlabel:
+                if key in savedfile and self.PPlabel[key] != []:
+                    f.write(key + '\t')
+                    f.write(json.dumps(self.PPlabel[key], ensure_ascii=False) + '\n')
+
+        if mode == 'Manual':
+            if self.lang == 'ch':
+                msg = '已将检查过的图片标签保存在 ' + self.PPlabelpath + " 文件中"
+            else:
+                msg = 'Images that have been checked are saved in ' + self.PPlabelpath
+            QMessageBox.information(self, "Information", msg)
+
+    def saveCacheLabel(self):
+        with open(self.Cachelabelpath, 'w', encoding='utf-8') as f:
+            for key in self.Cachelabel:
+                f.write(key + '\t')
+                f.write(json.dumps(self.Cachelabel[key], ensure_ascii=False) + '\n')
+
+    def saveLabelFile(self):
+        self.saveFilestate()
+        self.savePPlabel()
+
+    def saveRecResult(self):
+        if {} in [self.PPlabelpath, self.PPlabel, self.fileStatedict]:
+            QMessageBox.information(self, "Information", "Check the image first")
+            return
+
+        rec_gt_dir = os.path.dirname(self.PPlabelpath) + '/rec_gt.txt'
+        crop_img_dir = os.path.dirname(self.PPlabelpath) + '/crop_img/'
+        ques_img = []
+        if not os.path.exists(crop_img_dir):
+            os.mkdir(crop_img_dir)
+
+        with open(rec_gt_dir, 'w', encoding='utf-8') as f:
+            for key in self.fileStatedict:
+                idx = self.getImglabelidx(key)
+                try:
+                    img = cv2.imread(key)
+                    for i, label in enumerate(self.PPlabel[idx]):
+                        if label['difficult']:
+                            continue
+                        img_crop = get_rotate_crop_image(img, np.array(label['points'], np.float32))
+                        img_name = os.path.splitext(os.path.basename(idx))[0] + '_crop_' + str(i) + '.jpg'
+                        cv2.imwrite(crop_img_dir + img_name, img_crop)
+                        f.write('crop_img/' + img_name + '\t')
+                        f.write(label['transcription'] + '\n')
+                except Exception as e:
+                    ques_img.append(key)
+                    print("Can not read image ", e)
+        if ques_img:
+            QMessageBox.information(self,
+                                    "Information",
+                                    "The following images can not be saved, please check the image path and labels.\n"
+                                    + "".join(str(i) + '\n' for i in ques_img))
+        QMessageBox.information(self, "Information", "Cropped images have been saved in " + str(crop_img_dir))
+
+    def speedChoose(self):
+        if self.labelDialogOption.isChecked():
+            self.canvas.newShape.disconnect()
+            self.canvas.newShape.connect(partial(self.newShape, True))
+
+        else:
+            self.canvas.newShape.disconnect()
+            self.canvas.newShape.connect(partial(self.newShape, False))
+
+    def autoSaveFunc(self):
+        if self.autoSaveOption.isChecked():
+            self.autoSaveNum = 1  # Real auto_Save
+            try:
+                self.saveLabelFile()
+            except:
+                pass
+            print('The program will automatically save once after confirming an image')
+        else:
+            self.autoSaveNum = 5  # Used for backup
+            print('The program will automatically save once after confirming 5 images (default)')
+
+    def change_box_key(self):
+        if not self.kie_mode:
+            return
+        key_text, _ = self.keyDialog.popUp(self.key_previous_text)
+        if key_text is None:
+            return
+        self.key_previous_text = key_text
+        for shape in self.canvas.selectedShapes:
+            shape.key_cls = key_text
+            if not self.keyList.findItemsByLabel(key_text):
+                item = self.keyList.createItemFromLabel(key_text)
+                self.keyList.addItem(item)
+                rgb = self._get_rgb_by_label(key_text, self.kie_mode)
+                self.keyList.setItemLabel(item, key_text, rgb)
+
+            self._update_shape_color(shape)
+            self.keyDialog.addLabelHistory(key_text)
+            
+        # save changed shape
+        self.setDirty()
+
+    def undoShapeEdit(self):
+        self.canvas.restoreShape()
+        self.labelList.clear()
+        self.indexList.clear()
+        self.BoxList.clear()
+        self.loadShapes(self.canvas.shapes)
+        self.actions.undo.setEnabled(self.canvas.isShapeRestorable)
+
+    def loadShapes(self, shapes, replace=True):
+        self._noSelectionSlot = True
+        for shape in shapes:
+            self.addLabel(shape)
+        self.labelList.clearSelection()
+        self.indexList.clearSelection()
+        self._noSelectionSlot = False
+        self.canvas.loadShapes(shapes, replace=replace)
+        print("loadShapes")  # 1
+
+    def lockSelectedShape(self):
+        """lock the selected shapes.
+
+        Add self.selectedShapes to lock self.canvas.lockedShapes, 
+        which holds the ratio of the four coordinates of the locked shapes
+        to the width and height of the image
+        """
+        width, height = self.image.width(), self.image.height()
+
+        def format_shape(s):
+            return dict(label=s.label,  # str
+                        line_color=s.line_color.getRgb(),
+                        fill_color=s.fill_color.getRgb(),
+                        ratio=[[int(p.x()) / width, int(p.y()) / height] for p in s.points],  # QPonitF
+                        difficult=s.difficult,  # bool
+                        key_cls=s.key_cls,  # bool
+                        )
+
+        # lock
+        if len(self.canvas.lockedShapes) == 0:
+            for s in self.canvas.selectedShapes:
+                s.line_color = DEFAULT_LOCK_COLOR
+                s.locked = True
+            shapes = [format_shape(shape) for shape in self.canvas.selectedShapes]
+            trans_dic = []
+            for box in shapes:
+                trans_dict = {"transcription": box['label'], "ratio": box['ratio'], "difficult": box['difficult']}
+                if self.kie_mode:
+                    trans_dict.update({"key_cls": box["key_cls"]})
+                trans_dic.append(trans_dict)
+            self.canvas.lockedShapes = trans_dic
+            self.actions.save.setEnabled(True)
+
+        # unlock
+        else:
+            for s in self.canvas.shapes:
+                s.line_color = DEFAULT_LINE_COLOR
+            self.canvas.lockedShapes = []
+            self.result_dic_locked = []
+            self.setDirty()
+            self.actions.save.setEnabled(True)
+
+
+def inverted(color):
+    return QColor(*[255 - v for v in color.getRgb()])
+
+
+def read(filename, default=None):
+    try:
+        with open(filename, 'rb') as f:
+            return f.read()
+    except:
+        return default
+
+
+def str2bool(v):
+    return v.lower() in ("true", "t", "1")
+
+
+def get_main_app(argv=[]):
+    """
+    Standard boilerplate Qt application code.
+    Do everything but app.exec_() -- so that we can test the application in one thread
+    """
+    app = QApplication(argv)
+    app.setApplicationName(__appname__)
+    app.setWindowIcon(newIcon("app"))
+    # Tzutalin 201705+: Accept extra arguments to change predefined class file
+    arg_parser = argparse.ArgumentParser()
+    arg_parser.add_argument("--lang", type=str, default='en', nargs="?")
+    arg_parser.add_argument("--gpu", type=str2bool, default=True, nargs="?")
+    arg_parser.add_argument("--kie", type=str2bool, default=False, nargs="?")
+    arg_parser.add_argument("--predefined_classes_file",
+                            default=os.path.join(os.path.dirname(__file__), "data", "predefined_classes.txt"),
+                            nargs="?")
+    args = arg_parser.parse_args(argv[1:])
+
+    win = MainWindow(lang=args.lang,
+                     gpu=args.gpu,
+                     kie_mode=args.kie,
+                     default_predefined_class_file=args.predefined_classes_file)
+    win.show()
+    return app, win
+
+
+def main():
+    """construct main app and run it"""
+    app, _win = get_main_app(sys.argv)
+    return app.exec_()
+
+
+if __name__ == '__main__':
+
+    resource_file = './libs/resources.py'
+    if not os.path.exists(resource_file):
+        output = os.system('pyrcc5 -o libs/resources.py resources.qrc')
+        assert output == 0, "operate the cmd have some problems ,please check  whether there is a in the lib " \
+                            "directory resources.py "
+
+    sys.exit(main())

PPOCRLabel/README.md

@@ -0,0 +1,281 @@
+English | [简体中文](README_ch.md)
+
+# PPOCRLabelv2
+
+PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.
+
+|               regular text annotation               |                table annotation                |
+| :-------------------------------------------------: | :--------------------------------------------: |
+|  <img src="./data/gif/steps_en.gif" width="80%"/>   | <img src="./data/gif/table.gif" width="100%"/> |
+|            **irregular text annotation**            |         **key information annotation**         |
+| <img src="./data/gif/multi-point.gif" width="80%"/> |  <img src="./data/gif/kie.gif" width="100%"/>  |
+
+### Recent Update
+
+- 2022.05: Add table annotations, follow `2.2 Table Annotations` for more information （by [whjdark](https://github.com/peterh0323); [Evezerest](https://github.com/Evezerest))
+- 2022.02:（by [PeterH0323](https://github.com/peterh0323) ）
+  - Add KIE Mode by using `--kie`, for [detection + identification + keyword extraction] labeling.
+  - Improve user experience: prompt for the number of files and labels, optimize interaction, and fix bugs such as only use CPU when inference
+  - New functions: Support using `C` or `X` to rotate box.
+- 2021.11.17:
+  - Support install and start PPOCRLabel through the whl package (by [d2623587501](https://github.com/d2623587501))
+  - Dataset segmentation: Divide the annotation file into training, verification and testing parts (refer to section 3.5 below, by [MrCuiHao](https://github.com/MrCuiHao))
+- 2021.8.11:
+  - New functions: Open the dataset folder, image rotation (Note: Please delete the label box before rotating the image) (by [Wei-JL](https://github.com/Wei-JL))
+  - Added shortcut key description (Help-Shortcut Key), repaired the direction shortcut key movement function under batch processing (by [d2623587501](https://github.com/d2623587501))
+- 2021.2.5: New batch processing and undo functions (by [Evezerest](https://github.com/Evezerest)):
+  - **Batch processing function**: Press and hold the Ctrl key to select the box, you can move, copy, and delete in batches.
+  - **Undo function**: In the process of drawing a four-point label box or after editing the box, press Ctrl+Z to undo the previous operation.
+  - Fix image rotation and size problems, optimize the process of editing the mark frame (by [ninetailskim](https://github.com/ninetailskim)、 [edencfc](https://github.com/edencfc)).
+- 2021.1.11: Optimize the labeling experience (by [edencfc](https://github.com/edencfc)),
+  - Users can choose whether to pop up the label input dialog after drawing the detection box in "View - Pop-up Label Input Dialog".
+  - The recognition result scrolls synchronously when users click related detection box.
+  - Click to modify the recognition result.(If you can't change the result, please switch to the system default input method, or switch back to the original input method again)
+- 2020.12.18: Support re-recognition of a single label box (by [ninetailskim](https://github.com/ninetailskim) ), perfect shortcut keys.
+
+
+
+## 1. Installation and Run
+
+### 1.1 Install PaddlePaddle
+
+```bash
+pip3 install --upgrade pip
+
+# If you have cuda9 or cuda10 installed on your machine, please run the following command to install
+python3 -m pip install paddlepaddle-gpu -i https://mirror.baidu.com/pypi/simple
+
+# If you only have cpu on your machine, please run the following command to install
+python3 -m pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
+```
+
+For more software version requirements, please refer to the instructions in [Installation Document](https://www.paddlepaddle.org.cn/install/quick) for operation.
+
+### 1.2 Install and Run PPOCRLabel
+
+PPOCRLabel can be started in two ways: whl package and Python script. The whl package form is more convenient to start, and the python script to start is convenient for secondary development.
+
+#### Windows
+
+```bash
+pip install PPOCRLabel  # install
+
+# Select label mode and run 
+PPOCRLabel  # [Normal mode] for [detection + recognition] labeling
+PPOCRLabel --kie True # [KIE mode] for [detection + recognition + keyword extraction] labeling
+```
+
+> If you getting this error `OSError: [WinError 126] The specified module could not be found` when you install shapely on windows. Please try to download Shapely whl file using http://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely.
+>
+> Reference: [Solve shapely installation on windows](https://stackoverflow.com/questions/44398265/install-shapely-oserror-winerror-126-the-specified-module-could-not-be-found)
+>
+
+#### Ubuntu Linux
+
+```bash
+pip3 install PPOCRLabel
+pip3 install trash-cli
+
+# Select label mode and run 
+PPOCRLabel  # [Normal mode] for [detection + recognition] labeling
+PPOCRLabel --kie True # [KIE mode] for [detection + recognition + keyword extraction] labeling
+```
+
+#### MacOS
+```bash
+pip3 install PPOCRLabel
+pip3 install opencv-contrib-python-headless==4.2.0.32
+
+# Select label mode and run 
+PPOCRLabel  # [Normal mode] for [detection + recognition] labeling
+PPOCRLabel --kie True # [KIE mode] for [detection + recognition + keyword extraction] labeling
+```
+
+#### 1.2.2 Run PPOCRLabel by Python Script
+If you modify the PPOCRLabel file (for example, specifying a new built-in model), it will be more convenient to see the results by running the Python script. If you still want to start with the whl package, you need to uninstall the whl package in the current environment and then recompile it according to the next section.
+
+```bash
+cd ./PPOCRLabel  # Switch to the PPOCRLabel directory
+
+# Select label mode and run 
+python PPOCRLabel.py  # [Normal mode] for [detection + recognition] labeling
+python PPOCRLabel.py --kie True # [KIE mode] for [detection + recognition + keyword extraction] labeling
+```
+
+#### 1.2.3 Build and Install the Whl Package Locally
+Compile and install a new whl package, where 0.0.0 is the version number, you can specify the new version in 'setup.py'.
+```bash
+cd ./PPOCRLabel
+python3 setup.py bdist_wheel
+pip3 install dist/PPOCRLabel-0.0.0-py2.py3-none-any.whl
+```
+
+
+## 2. Usage
+
+### 2.1 Steps
+
+1. Build and launch using the instructions above.
+
+2. Click 'Open Dir' in Menu/File to select the folder of the picture.<sup>[1]</sup>
+
+3. Click 'Auto recognition', use PP-OCR model to automatically annotate images which marked with 'X' <sup>[2]</sup>before the file name.
+
+4. Create Box:
+
+   4.1 Click 'Create RectBox' or press 'W' in English keyboard mode to draw a new rectangle detection box. Click and release left mouse to select a region to annotate the text area.
+
+   4.2 Press 'Q' to enter four-point labeling mode which enables you to create any four-point shape by clicking four points with the left mouse button in succession and DOUBLE CLICK the left mouse as the signal of labeling completion.
+
+5. After the marking frame is drawn, the user clicks "OK", and the detection frame will be pre-assigned a "TEMPORARY" label.
+
+6. Click 're-Recognition', model will rewrite ALL recognition results in ALL detection box<sup>[3]</sup>.
+
+7. Single click the result in 'recognition result' list to manually change inaccurate recognition results.
+
+8. **Click "Check", the image status will switch to "√",then the program automatically jump to the next.**
+
+9. Click "Delete Image", and the image will be deleted to the recycle bin.
+
+10. Labeling result: the user can export the label result manually through the menu "File - Export Label", while the program will also export automatically if "File - Auto export Label Mode" is selected. The manually checked label will be stored in *Label.txt* under the opened picture folder. Click "File"-"Export Recognition Results" in the menu bar, the recognition training data of such pictures will be saved in the *crop_img* folder, and the recognition label will be saved in *rec_gt.txt*<sup>[4]</sup>.
+
+### 2.2 Table Annotation
+The table annotation is aimed at extracting the structure of the table in a picture and converting it to Excel format, 
+so the annotation needs to be done simultaneously with external software to edit Excel.
+In PPOCRLabel, complete the text information labeling (text and position), complete the table structure information 
+labeling in the Excel file, the recommended steps are:
+
+1. Table annotation: After opening the table picture, click on the `Table Recognition` button in the upper right corner of PPOCRLabel, which will call the table recognition model in PP-Structure to automatically label 
+    the table and pop up Excel at the same time.
+
+2. Change the recognition result: **label each cell** (i.e. the text in a cell is marked as a box). Right click on the box and click on `Cell Re-recognition`. 
+   You can use the model to automatically recognise the text within a cell.
+
+3. Mark the table structure: for each cell contains the text, **mark as any identifier (such as `1`) in Excel**, to ensure that the merged cell structure is same as the original picture.
+
+	> Note: If there are blank cells in the table, you also need to mark them with a bounding box so that the total number of cells is the same as in the image.
+
+4. ***Adjust cell order:*** Click on the menu  `View` - `Show Box Number` to show the box ordinal numbers, and drag all the results under the 'Recognition Results' column on the right side of the software interface to make the box numbers are arranged from left to right, top to bottom
+
+5. Export JSON format annotation: close all Excel files corresponding to table images, click `File-Export Table Label` to obtain `gt.txt` annotation results.
+
+### 2.3 Note
+
+[1] PPOCRLabel uses the opened folder as the project. After opening the image folder, the picture will not be displayed in the dialog. Instead, the pictures under the folder will be directly imported into the program after clicking "Open Dir".
+
+[2] The image status indicates whether the user has saved the image manually. If it has not been saved manually it is "X", otherwise it is "√", PPOCRLabel will not relabel pictures with a status of "√".
+
+[3] After clicking "Re-recognize", the model will overwrite ALL recognition results in the picture. Therefore, if the recognition result has been manually changed before, it may change after re-recognition.
+
+[4] The files produced by PPOCRLabel can be found under the opened picture folder including the following, please do not manually change the contents, otherwise it will cause the program to be abnormal.
+
+|   File name   |                         Description                          |
+| :-----------: | :----------------------------------------------------------: |
+|   Label.txt   | The detection label file can be directly used for PP-OCR detection model training. After the user saves 5 label results, the file will be automatically exported. It will also be written when the user closes the application or changes the file folder. |
+| fileState.txt | The picture status file save the image in the current folder that has been manually confirmed by the user. |
+|  Cache.cach   |    Cache files to save the results of model recognition.     |
+|  rec_gt.txt   | The recognition label file, which can be directly used for PP-OCR identification model training, is generated after the user clicks on the menu bar "File"-"Export recognition result". |
+|   crop_img    | The recognition data, generated at the same time with *rec_gt.txt* |
+
+
+
+## 3. Explanation
+
+### 3.1 Shortcut keys
+
+| Shortcut keys            | Description                                      |
+|--------------------------|--------------------------------------------------|
+| Ctrl + Shift + R         | Re-recognize all the labels of the current image |
+| W                        | Create a rect box                                |
+| Q                        | Create a multi-points box                         |
+| X                        | Rotate the box anti-clockwise                    |
+| C                        | Rotate the box clockwise                         |
+| Ctrl + E                 | Edit label of the selected box                   |
+| Ctrl + X                 | Change key class of the box when enable `--kie`  |
+| Ctrl + R                 | Re-recognize the selected box                    |
+| Ctrl + C                 | Copy and paste the selected box                  |
+| Ctrl + Left Mouse Button | Multi select the label box                       |
+| Backspace                 | Delete the selected box                          |
+| Ctrl + V                 | Check image                                      |
+| Ctrl + Shift + d         | Delete image                                     |
+| D                        | Next image                                       |
+| A                        | Previous image                                   |
+| Ctrl++                   | Zoom in                                          |
+| Ctrl--                   | Zoom out                                         |
+| ↑→↓←                     | Move selected box                                |
+
+### 3.2 Built-in Model
+
+- Default model: PPOCRLabel uses the Chinese and English ultra-lightweight OCR model in PaddleOCR by default, supports Chinese, English and number recognition, and multiple language detection.
+
+- Model language switching: Changing the built-in model language is supportable by clicking "PaddleOCR"-"Choose OCR Model" in the menu bar. Currently supported languages​include French, German, Korean, and Japanese.
+  For specific model download links, please refer to [PaddleOCR Model List](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md#multilingual-recognition-modelupdating)
+
+- **Custom Model**: If users want to replace the built-in model with their own inference model, they can follow the [Custom Model Code Usage](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.3/doc/doc_en/whl_en.md#31-use-by-code) by modifying PPOCRLabel.py for [Instantiation of PaddleOCR class](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/PPOCRLabel/PPOCRLabel.py#L86) :
+
+  add parameter `det_model_dir`  in `self.ocr = PaddleOCR(use_pdserving=False, use_angle_cls=True, det=True, cls=True, use_gpu=gpu, lang=lang) `
+
+### 3.3 Export Label Result
+
+PPOCRLabel supports three ways to export Label.txt
+
+- Automatically export: After selecting "File - Auto Export Label Mode", the program will automatically write the annotations into Label.txt every time the user confirms an image. If this option is not turned on, it will be automatically exported after detecting that the user has manually checked 5 images.
+
+  > The automatically export mode is turned off by default
+
+- Manual export: Click "File-Export Marking Results" to manually export the label.
+
+- Close application export
+
+### 3.4 Dataset division
+
+- Enter the following command in the terminal to execute the dataset division script:
+
+    ```
+  cd ./PPOCRLabel # Change the directory to the PPOCRLabel folder
+  python gen_ocr_train_val_test.py --trainValTestRatio 6:2:2 --datasetRootPath ../train_data 
+  ```
+
+  Parameter Description:
+
+  - `trainValTestRatio` is the division ratio of the number of images in the training set, validation set, and test set, set according to your actual situation, the default is `6:2:2`
+
+  - `datasetRootPath` is the storage path of the complete dataset labeled by PPOCRLabel. The default path is `PaddleOCR/train_data` .
+  ```
+  |-train_data
+    |-crop_img
+      |- word_001_crop_0.png
+      |- word_002_crop_0.jpg
+      |- word_003_crop_0.jpg
+      | ...
+    | Label.txt
+    | rec_gt.txt
+    |- word_001.png
+    |- word_002.jpg
+    |- word_003.jpg
+    | ...
+  ```
+  
+### 3.5 Error message
+
+- If paddleocr is installed with whl, it has a higher priority than calling PaddleOCR class with paddleocr.py, which may cause an exception if whl package is not updated.
+
+- For Linux users, if you get an error starting with **objc[XXXXX]** when opening the software, it proves that your opencv version is too high. It is recommended to install version 4.2:
+
+    ```
+    pip install opencv-python==4.2.0.32
+    ```
+- If you get an error starting with **Missing string id **,you need to recompile resources:
+    ```
+    pyrcc5 -o libs/resources.py resources.qrc
+    ```
+- If you get an error ``` module 'cv2' has no attribute 'INTER_NEAREST'```, you need to delete all opencv related packages first, and then reinstall the 4.2.0.32  version of headless opencv
+    ```
+    pip install opencv-contrib-python-headless==4.2.0.32
+    ```
+
+
+
+### 4. Related
+
+1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg)

PPOCRLabel/README_ch.md

@@ -0,0 +1,264 @@
+[English](README.md) | 简体中文
+
+# PPOCRLabelv2
+
+PPOCRLabel是一款适用于OCR领域的半自动化图形标注工具，内置PP-OCR模型对数据自动标注和重新识别。使用Python3和PyQT5编写，支持矩形框标注、表格标注、不规则文本标注、关键信息标注模式，导出格式可直接用于PaddleOCR检测和识别模型的训练。
+
+|                      常规标注                       |                    表格标注                    |
+| :-------------------------------------------------: | :--------------------------------------------: |
+|  <img src="./data/gif/steps_en.gif" width="80%"/>   | <img src="./data/gif/table.gif" width="100%"/> |
+|                 **不规则文本标注**                  |                **关键信息标注**                |
+| <img src="./data/gif/multi-point.gif" width="80%"/> |  <img src="./data/gif/kie.gif" width="100%"/>  |
+
+#### 近期更新
+- 2022.05：**新增表格标注**，使用方法见下方`2.2 表格标注`（by [whjdark](https://github.com/peterh0323); [Evezerest](https://github.com/Evezerest))
+- 2022.02：**新增关键信息标注**、优化标注体验（by [PeterH0323](https://github.com/peterh0323) ）
+  - 新增：使用 `--kie` 进入 KIE 功能，用于打【检测+识别+关键字提取】的标签
+  - 提升用户体验：新增文件与标记数目提示、优化交互、修复gpu使用等问题。
+  - 新增功能：使用 `C` 和 `X` 对标记框进行旋转。
+- 2021.11.17：
+  - 新增支持通过whl包安装和启动PPOCRLabel（by [d2623587501](https://github.com/d2623587501)）
+  - 标注数据集切分：对标注数据进行训练、验证与测试集划分（参考下方3.5节，by [MrCuiHao](https://github.com/MrCuiHao)）
+- 2021.8.11：
+  - 新增功能：打开数据所在文件夹、右键图像旋转90度（注意：旋转前的图片上不能存在标记框，by [Wei-JL](https://github.com/Wei-JL)）
+  - 新增快捷键说明（帮助-快捷键）、修复批处理下的方向快捷键移动功能（by [d2623587501](https://github.com/d2623587501)）
+- 2021.2.5：新增批处理与撤销功能（by [Evezerest](https://github.com/Evezerest))
+  - **批处理功能**：按住Ctrl键选择标记框后可批量移动、复制、删除、重新识别。
+  - **撤销功能**：在绘制四点标注框过程中或对框进行编辑操作后，按下Ctrl+Z可撤销上一部操作。
+  - 修复图像旋转和尺寸问题、优化编辑标记框过程（by [ninetailskim](https://github.com/ninetailskim)、 [edencfc](https://github.com/edencfc)）
+- 2021.1.11：优化标注体验（by [edencfc](https://github.com/edencfc)）：
+  - 用户可在“视图 - 弹出标记输入框”选择在画完检测框后标记输入框是否弹出。
+  - 识别结果与检测框同步滚动。
+  - 识别结果更改为单击修改。（如果无法修改，请切换为系统自带输入法，或再次切回原输入法）
+- 2020.12.18： 支持对单个标记框进行重新识别（by [ninetailskim](https://github.com/ninetailskim)），完善快捷键。
+
+如果您对完善工具有不一样的想法，欢迎通过[社区常规赛](https://github.com/PaddlePaddle/PaddleOCR/issues/4982)报名相关更改，获得积分兑换奖励。
+
+
+
+## 1. 安装与运行
+
+### 1.1 安装PaddlePaddle
+```bash
+pip3 install --upgrade pip
+
+# 如果您的机器安装的是CUDA9或CUDA10，请运行以下命令安装
+python3 -m pip install paddlepaddle-gpu -i https://mirror.baidu.com/pypi/simple
+
+# 如果您的机器是CPU，请运行以下命令安装
+python3 -m pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
+```
+
+更多的版本需求，请参照[安装文档](https://www.paddlepaddle.org.cn/install/quick)中的说明进行操作。
+
+### 1.2 安装与运行PPOCRLabel
+
+PPOCRLabel可通过whl包与Python脚本两种方式启动，whl包形式启动更加方便，python脚本启动便于二次开发
+
+#### 1.2.1 通过whl包安装与运行
+
+##### Windows
+
+```bash
+pip install PPOCRLabel  # 安装
+
+# 选择标签模式来启动
+PPOCRLabel --lang ch  # 启动【普通模式】，用于打【检测+识别】场景的标签
+PPOCRLabel --lang ch --kie True  # 启动 【KIE 模式】，用于打【检测+识别+关键字提取】场景的标签
+```
+> 注意：通过whl包安装PPOCRLabel会自动下载 `paddleocr` whl包，其中shapely依赖可能会出现 `[winRrror 126] 找不到指定模块的问题。` 的错误，建议从[这里](https://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely)下载并安装
+##### Ubuntu Linux
+
+```bash
+pip3 install PPOCRLabel
+pip3 install trash-cli
+
+# 选择标签模式来启动
+PPOCRLabel --lang ch  # 启动【普通模式】，用于打【检测+识别】场景的标签
+PPOCRLabel --lang ch --kie True  # 启动 【KIE 模式】，用于打【检测+识别+关键字提取】场景的标签
+```
+
+##### MacOS
+```bash
+pip3 install PPOCRLabel
+pip3 install opencv-contrib-python-headless==4.2.0.32 # 如果下载过慢请添加"-i https://mirror.baidu.com/pypi/simple"
+
+# 选择标签模式来启动
+PPOCRLabel --lang ch  # 启动【普通模式】，用于打【检测+识别】场景的标签
+PPOCRLabel --lang ch --kie True  # 启动 【KIE 模式】，用于打【检测+识别+关键字提取】场景的标签
+```
+
+> 如果上述安装出现问题，可以参考3.6节 错误提示
+
+#### 1.2.2 通过Python脚本运行PPOCRLabel
+
+如果您对PPOCRLabel文件有所更改（例如指定新的内置模型），通过Python脚本运行会更加方便的看到更改的结果。如果仍然需要通过whl包启动，则需要先卸载当前环境中的whl包，然后参考下节重新编译whl包。
+
+```bash
+cd ./PPOCRLabel  # 切换到PPOCRLabel目录
+python PPOCRLabel.py --lang ch
+```
+
+#### 1.2.3 本地构建whl包并安装
+
+编译与安装新的whl包，其中0.0.0为版本号，可在 `setup.py` 中指定新版本。
+
+```bash
+cd ./PPOCRLabel
+python3 setup.py bdist_wheel 
+pip3 install dist/PPOCRLabel-0.0.0-py2.py3-none-any.whl -i https://mirror.baidu.com/pypi/simple
+```
+
+
+## 2. 使用
+
+### 2.1 操作步骤
+> 如果您只需要标注文字信息和位置，推荐按照以下步骤展开：
+
+1. 安装与运行：使用上述命令安装与运行程序。
+2. 打开文件夹：在菜单栏点击 “文件” - "打开目录" 选择待标记图片的文件夹<sup>[1]</sup>.
+3. 自动标注：点击 ”自动标注“，使用PP-OCR超轻量模型对图片文件名前图片状态<sup>[2]</sup>为 “X” 的图片进行自动标注。
+4. 手动标注：点击 “矩形标注”（推荐直接在英文模式下点击键盘中的 “W”)，用户可对当前图片中模型未检出的部分进行手动绘制标记框。点击键盘Q，则使用四点标注模式（或点击“编辑” - “四点标注”），用户依次点击4个点后，双击左键表示标注完成。
+5. 标记框绘制完成后，用户点击 “确认”，检测框会先被预分配一个 “待识别” 标签。
+6. 重新识别：将图片中的所有检测画绘制/调整完成后，点击 “重新识别”，PP-OCR模型会对当前图片中的**所有检测框**重新识别<sup>[3]</sup>。
+7. 内容更改：单击识别结果，对不准确的识别结果进行手动更改。
+8. **确认标记：点击 “确认”，图片状态切换为 “√”，跳转至下一张。**
+9. 删除：点击 “删除图像”，图片将会被删除至回收站。
+10. 导出结果：用户可以通过菜单中“文件-导出标记结果”手动导出，同时也可以点击“文件 - 自动导出标记结果”开启自动导出。手动确认过的标记将会被存放在所打开图片文件夹下的*Label.txt*中。在菜单栏点击 “文件” - "导出识别结果"后，会将此类图片的识别训练数据保存在*crop_img*文件夹下，识别标签保存在*rec_gt.txt*中<sup>[4]</sup>。
+
+### 2.2 表格标注（[视频演示](https://www.bilibili.com/video/BV1wR4y1v7JE/?share_source=copy_web&vd_source=cf1f9d24648d49636e3d109c9f9a377d&t=1998)）
+表格标注针对表格的结构化提取，将图片中的表格转换为Excel格式，因此标注时需要配合外部软件打开Excel同时完成。在PPOCRLabel软件中完成表格中的文字信息标注（文字与位置）、在Excel文件中完成表格结构信息标注，推荐的步骤为：
+1. 表格识别：打开表格图片后，点击软件右上角 `表格识别` 按钮，软件调用PP-Structure中的表格识别模型，自动为表格打标签，同时弹出Excel
+
+2. 更改标注结果：**以表格中的单元格为单位增加标注框**（即一个单元格内的文字都标记为一个框）。标注框上鼠标右键后点击 `单元格重识别` 
+   可利用模型自动识别单元格内的文字。
+   
+   > 注意：如果表格中存在空白单元格，同样需要使用一个标注框将其标出，使得单元格总数与图像中保持一致。
+
+3. **调整单元格顺序**：点击软件`视图-显示框编号` 打开标注框序号，在软件界面右侧拖动 `识别结果` 一栏下的所有结果，使得标注框编号按照从左到右，从上到下的顺序排列，按行依次标注。
+   
+4. 标注表格结构：**在外部Excel软件中，将存在文字的单元格标记为任意标识符（如 `1` ）**，保证Excel中的单元格合并情况与原图相同即可（即不需要Excel中的单元格文字与图片中的文字完全相同）
+
+5. 导出JSON格式：关闭所有表格图像对应的Excel，点击 `文件`-`导出表格标注`，生成gt.txt标注文件。
+
+### 2.3 注意
+
+[1] PPOCRLabel以**文件夹**为基本标记单位，打开待标记的图片文件夹后，不会在窗口栏中显示图片，而是在点击 "选择文件夹" 之后直接将文件夹下的图片导入到程序中。
+
+[2] 图片状态表示本张图片用户是否手动保存过，未手动保存过即为 “X”，手动保存过为 “√”。点击 “自动标注”按钮后，PPOCRLabel不会对状态为 “√” 的图片重新标注。
+
+[3] 点击“重新识别”后，模型会对图片中的识别结果进行覆盖。因此如果在此之前手动更改过识别结果，有可能在重新识别后产生变动。
+
+[4] PPOCRLabel产生的文件放置于标记图片文件夹下，包括一下几种，请勿手动更改其中内容，否则会引起程序出现异常。
+
+|    文件名     |                             说明                             |
+| :-----------: | :----------------------------------------------------------: |
+|   Label.txt   | 检测标签，可直接用于PPOCR检测模型训练。用户每确认5张检测结果后，程序会进行自动写入。当用户关闭应用程序或切换文件路径后同样会进行写入。 |
+| fileState.txt | 图片状态标记文件，保存当前文件夹下已经被用户手动确认过的图片名称。 |
+|  Cache.cach   |              缓存文件，保存模型自动识别的结果。              |
+|  rec_gt.txt   | 识别标签。可直接用于PPOCR识别模型训练。需用户手动点击菜单栏“文件” - "导出识别结果"后产生。 |
+|   crop_img    |   识别数据。按照检测框切割后的图片。与rec_gt.txt同时产生。   |
+
+
+
+## 3. 说明
+
+### 3.1 快捷键
+
+| 快捷键              | 说明                              |
+|------------------|---------------------------------|
+| Ctrl + shift + R | 对当前图片的所有标记重新识别                  |
+| W                | 新建矩形框                           |
+| Q                | 新建多点框                           |
+| X                | 框逆时针旋转                          |
+| C                | 框顺时针旋转                          |
+| Ctrl + E         | 编辑所选框标签                         |
+| Ctrl + X         |  `--kie` 模式下，修改 Box 的关键字种类 |
+| Ctrl + R         | 重新识别所选标记                        |
+| Ctrl + C         | 【复制并粘贴】选中的标记框                     |
+| Ctrl + 鼠标左键    | 多选标记框                           |
+| Backspace         | 删除所选框                           |
+| Ctrl + V         | 确认本张图片标记                        |
+| Ctrl + Shift + d | 删除本张图片                          |
+| D                | 下一张图片                           |
+| A                | 上一张图片                           |
+| Ctrl++           | 缩小                              |
+| Ctrl--           | 放大                              |
+| ↑→↓←             | 移动标记框                           |
+
+
+### 3.2 内置模型
+
+ - 默认模型：PPOCRLabel默认使用PaddleOCR中的中英文超轻量OCR模型，支持中英文与数字识别，多种语言检测。
+
+ - 模型语言切换：用户可通过菜单栏中 "PaddleOCR" - "选择模型" 切换内置模型语言，目前支持的语言包括法文、德文、韩文、日文。具体模型下载链接可参考[PaddleOCR模型列表](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/models_list.md).
+
+ - **自定义模型**：如果用户想将内置模型更换为自己的推理模型，可根据[自定义模型代码使用](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/whl.md#%E8%87%AA%E5%AE%9A%E4%B9%89%E6%A8%A1%E5%9E%8B)，通过修改PPOCRLabel.py中针对[PaddleOCR类的实例化](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.3/PPOCRLabel/PPOCRLabel.py#L116) 实现，例如指定检测模型：`self.ocr = PaddleOCR(det=True, cls=True, use_gpu=gpu, lang=lang) `，在 `det_model_dir` 中传入  自己的模型即可。 
+
+### 3.3 导出标记结果
+
+PPOCRLabel支持三种导出方式：
+
+- 自动导出：点击“文件 - 自动导出标记结果”后，用户每确认过一张图片，程序自动将标记结果写入Label.txt中。若未开启此选项，则检测到用户手动确认过5张图片后进行自动导出。
+
+  > 默认情况下自动导出功能为关闭状态
+
+- 手动导出：点击“文件 - 导出标记结果”手动导出标记。
+
+- 关闭应用程序导出
+
+### 3.4 数据集划分
+
+在终端中输入以下命令执行数据集划分脚本：
+
+```
+cd ./PPOCRLabel # 将目录切换到PPOCRLabel文件夹下
+python gen_ocr_train_val_test.py --trainValTestRatio 6:2:2 --datasetRootPath ../train_data 
+```
+
+参数说明：
+
+- `trainValTestRatio` 是训练集、验证集、测试集的图像数量划分比例，根据实际情况设定，默认是`6:2:2`
+
+- `datasetRootPath` 是PPOCRLabel标注的完整数据集存放路径。默认路径是 `PaddleOCR/train_data` 分割数据集前应有如下结构：
+  ```
+  |-train_data
+    |-crop_img
+      |- word_001_crop_0.png
+      |- word_002_crop_0.jpg
+      |- word_003_crop_0.jpg
+      | ...
+    | Label.txt
+    | rec_gt.txt
+    |- word_001.png
+    |- word_002.jpg
+    |- word_003.jpg
+    | ...
+  ```
+  
+### 3.5 错误提示
+
+- 如果同时使用whl包安装了paddleocr，其优先级大于通过paddleocr.py调用PaddleOCR类，whl包未更新时会导致程序异常。
+
+- PPOCRLabel**不支持对中文文件名**的图片进行自动标注。
+
+- 针对Linux用户：如果您在打开软件过程中出现**objc[XXXXX]**开头的错误，证明您的opencv版本太高，建议安装4.2版本：
+    ```
+    pip install opencv-python==4.2.0.32
+    ```
+
+- 如果出现 ```Missing string id``` 开头的错误，需要重新编译资源：
+    ```
+    pyrcc5 -o libs/resources.py resources.qrc
+    ```
+
+- 如果出现``` module 'cv2' has no attribute 'INTER_NEAREST'```错误，需要首先删除所有opencv相关包，然后重新安装4.2.0.32版本的headless opencv
+    ```
+    pip install opencv-contrib-python-headless==4.2.0.32
+    ```
+
+
+
+### 4. 参考资料
+
+1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg)

PPOCRLabel/gen_ocr_train_val_test.py

@@ -0,0 +1,151 @@
+# coding:utf8
+import os
+import shutil
+import random
+import argparse
+
+
+# 删除划分的训练集、验证集、测试集文件夹，重新创建一个空的文件夹
+def isCreateOrDeleteFolder(path, flag):
+    flagPath = os.path.join(path, flag)
+
+    if os.path.exists(flagPath):
+        shutil.rmtree(flagPath)
+
+    os.makedirs(flagPath)
+    flagAbsPath = os.path.abspath(flagPath)
+    return flagAbsPath
+
+
+def splitTrainVal(root, absTrainRootPath, absValRootPath, absTestRootPath, trainTxt, valTxt, testTxt, flag):
+    # 按照指定的比例划分训练集、验证集、测试集
+    dataAbsPath = os.path.abspath(root)
+
+    if flag == "det":
+        labelFilePath = os.path.join(dataAbsPath, args.detLabelFileName)
+    elif flag == "rec":
+        labelFilePath = os.path.join(dataAbsPath, args.recLabelFileName)
+
+    labelFileRead = open(labelFilePath, "r", encoding="UTF-8")
+    labelFileContent = labelFileRead.readlines()
+    random.shuffle(labelFileContent)
+    labelRecordLen = len(labelFileContent)
+
+    for index, labelRecordInfo in enumerate(labelFileContent):
+        imageRelativePath = labelRecordInfo.split('\t')[0]
+        imageLabel = labelRecordInfo.split('\t')[1]
+        imageName = os.path.basename(imageRelativePath)
+
+        if flag == "det":
+            imagePath = os.path.join(dataAbsPath, imageName)
+        elif flag == "rec":
+            imagePath = os.path.join(dataAbsPath, "{}\\{}".format(args.recImageDirName, imageName))
+
+        # 按预设的比例划分训练集、验证集、测试集
+        trainValTestRatio = args.trainValTestRatio.split(":")
+        trainRatio = eval(trainValTestRatio[0]) / 10
+        valRatio = trainRatio + eval(trainValTestRatio[1]) / 10
+        curRatio = index / labelRecordLen
+
+        if curRatio < trainRatio:
+            imageCopyPath = os.path.join(absTrainRootPath, imageName)
+            shutil.copy(imagePath, imageCopyPath)
+            trainTxt.write("{}\t{}".format(imageCopyPath, imageLabel))
+        elif curRatio >= trainRatio and curRatio < valRatio:
+            imageCopyPath = os.path.join(absValRootPath, imageName)
+            shutil.copy(imagePath, imageCopyPath)
+            valTxt.write("{}\t{}".format(imageCopyPath, imageLabel))
+        else:
+            imageCopyPath = os.path.join(absTestRootPath, imageName)
+            shutil.copy(imagePath, imageCopyPath)
+            testTxt.write("{}\t{}".format(imageCopyPath, imageLabel))
+
+
+# 删掉存在的文件
+def removeFile(path):
+    if os.path.exists(path):
+        os.remove(path)
+
+
+def genDetRecTrainVal(args):
+    detAbsTrainRootPath = isCreateOrDeleteFolder(args.detRootPath, "train")
+    detAbsValRootPath = isCreateOrDeleteFolder(args.detRootPath, "val")
+    detAbsTestRootPath = isCreateOrDeleteFolder(args.detRootPath, "test")
+    recAbsTrainRootPath = isCreateOrDeleteFolder(args.recRootPath, "train")
+    recAbsValRootPath = isCreateOrDeleteFolder(args.recRootPath, "val")
+    recAbsTestRootPath = isCreateOrDeleteFolder(args.recRootPath, "test")
+
+    removeFile(os.path.join(args.detRootPath, "train.txt"))
+    removeFile(os.path.join(args.detRootPath, "val.txt"))
+    removeFile(os.path.join(args.detRootPath, "test.txt"))
+    removeFile(os.path.join(args.recRootPath, "train.txt"))
+    removeFile(os.path.join(args.recRootPath, "val.txt"))
+    removeFile(os.path.join(args.recRootPath, "test.txt"))
+
+    detTrainTxt = open(os.path.join(args.detRootPath, "train.txt"), "a", encoding="UTF-8")
+    detValTxt = open(os.path.join(args.detRootPath, "val.txt"), "a", encoding="UTF-8")
+    detTestTxt = open(os.path.join(args.detRootPath, "test.txt"), "a", encoding="UTF-8")
+    recTrainTxt = open(os.path.join(args.recRootPath, "train.txt"), "a", encoding="UTF-8")
+    recValTxt = open(os.path.join(args.recRootPath, "val.txt"), "a", encoding="UTF-8")
+    recTestTxt = open(os.path.join(args.recRootPath, "test.txt"), "a", encoding="UTF-8")
+
+    splitTrainVal(args.datasetRootPath, detAbsTrainRootPath, detAbsValRootPath, detAbsTestRootPath, detTrainTxt, detValTxt,
+                  detTestTxt, "det")
+
+    for root, dirs, files in os.walk(args.datasetRootPath):
+        for dir in dirs:
+            if dir == 'crop_img':
+                splitTrainVal(root, recAbsTrainRootPath, recAbsValRootPath, recAbsTestRootPath, recTrainTxt, recValTxt,
+                              recTestTxt, "rec")
+            else:
+                continue
+        break
+
+
+
+if __name__ == "__main__":
+    # 功能描述：分别划分检测和识别的训练集、验证集、测试集
+    # 说明：可以根据自己的路径和需求调整参数，图像数据往往多人合作分批标注，每一批图像数据放在一个文件夹内用PPOCRLabel进行标注，
+    # 如此会有多个标注好的图像文件夹汇总并划分训练集、验证集、测试集的需求
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--trainValTestRatio",
+        type=str,
+        default="6:2:2",
+        help="ratio of trainset:valset:testset")
+    parser.add_argument(
+        "--datasetRootPath",
+        type=str,
+        default="../train_data/",
+        help="path to the dataset marked by ppocrlabel, E.g, dataset folder named 1,2,3..."
+    )
+    parser.add_argument(
+        "--detRootPath",
+        type=str,
+        default="../train_data/det",
+        help="the path where the divided detection dataset is placed")
+    parser.add_argument(
+        "--recRootPath",
+        type=str,
+        default="../train_data/rec",
+        help="the path where the divided recognition dataset is placed"
+    )
+    parser.add_argument(
+        "--detLabelFileName",
+        type=str,
+        default="Label.txt",
+        help="the name of the detection annotation file")
+    parser.add_argument(
+        "--recLabelFileName",
+        type=str,
+        default="rec_gt.txt",
+        help="the name of the recognition annotation file"
+    )
+    parser.add_argument(
+        "--recImageDirName",
+        type=str,
+        default="crop_img",
+        help="the name of the folder where the cropped recognition dataset is located"
+    )
+    args = parser.parse_args()
+    genDetRecTrainVal(args)

PPOCRLabel/libs/__init__.py

@@ -0,0 +1,2 @@
+__version_info__ = ('1', '0', '0')
+__version__ = '.'.join(__version_info__)

PPOCRLabel/libs/autoDialog.py

@@ -0,0 +1,171 @@
+try:
+    from PyQt5.QtGui import *
+    from PyQt5.QtCore import *
+    from PyQt5.QtWidgets import *
+except ImportError:
+    from PyQt4.QtGui import *
+    from PyQt4.QtCore import *
+
+import time
+import datetime
+import json
+import cv2
+import numpy as np
+
+from libs.utils import newIcon
+
+BB = QDialogButtonBox
+
+
+class Worker(QThread):
+    progressBarValue = pyqtSignal(int)
+    listValue = pyqtSignal(str)
+    endsignal = pyqtSignal(int, str)
+    handle = 0
+
+    def __init__(self, ocr, mImgList, mainThread, model):
+        super(Worker, self).__init__()
+        self.ocr = ocr
+        self.mImgList = mImgList
+        self.mainThread = mainThread
+        self.model = model
+        self.setStackSize(1024*1024)
+
+    def run(self):
+        try:
+            findex = 0
+            for Imgpath in self.mImgList:
+                if self.handle == 0:
+                    self.listValue.emit(Imgpath)
+                    if self.model == 'paddle':
+                        h, w, _ = cv2.imdecode(np.fromfile(Imgpath, dtype=np.uint8), 1).shape
+                        if h > 32 and w > 32:
+                            self.result_dic = self.ocr.ocr(Imgpath, cls=True, det=True)[0]
+                        else:
+                            print('The size of', Imgpath, 'is too small to be recognised')
+                            self.result_dic = None
+
+                    # 结果保存
+                    if self.result_dic is None or len(self.result_dic) == 0:
+                        print('Can not recognise file', Imgpath)
+                        pass
+                    else:
+                        strs = ''
+                        for res in self.result_dic:
+                            chars = res[1][0]
+                            cond = res[1][1]
+                            posi = res[0]
+                            strs += "Transcription: " + chars + " Probability: " + str(cond) + \
+                                    " Location: " + json.dumps(posi) +'\n'
+                        # Sending large amounts of data repeatedly through pyqtSignal may affect the program efficiency
+                        self.listValue.emit(strs)
+                        self.mainThread.result_dic = self.result_dic
+                        self.mainThread.filePath = Imgpath
+                        # 保存
+                        self.mainThread.saveFile(mode='Auto')
+                    findex += 1
+                    self.progressBarValue.emit(findex)
+                else:
+                    break
+            self.endsignal.emit(0, "readAll")
+            self.exec()
+        except Exception as e:
+            print(e)
+            raise
+
+
+class AutoDialog(QDialog):
+
+    def __init__(self, text="Enter object label", parent=None, ocr=None, mImgList=None, lenbar=0):
+        super(AutoDialog, self).__init__(parent)
+        self.setFixedWidth(1000)
+        self.parent = parent
+        self.ocr = ocr
+        self.mImgList = mImgList
+        self.lender = lenbar
+        self.pb = QProgressBar()
+        self.pb.setRange(0, self.lender)
+        self.pb.setValue(0)
+
+        layout = QVBoxLayout()
+        layout.addWidget(self.pb)
+        self.model = 'paddle'
+        self.listWidget = QListWidget(self)
+        layout.addWidget(self.listWidget)
+
+        self.buttonBox = bb = BB(BB.Ok | BB.Cancel, Qt.Horizontal, self)
+        bb.button(BB.Ok).setIcon(newIcon('done'))
+        bb.button(BB.Cancel).setIcon(newIcon('undo'))
+        bb.accepted.connect(self.validate)
+        bb.rejected.connect(self.reject)
+        layout.addWidget(bb)
+        bb.button(BB.Ok).setEnabled(False)
+
+        self.setLayout(layout)
+        # self.setWindowTitle("自动标注中")
+        self.setWindowModality(Qt.ApplicationModal)
+
+        # self.setWindowFlags(Qt.WindowCloseButtonHint)
+
+        self.thread_1 = Worker(self.ocr, self.mImgList, self.parent, 'paddle')
+        self.thread_1.progressBarValue.connect(self.handleProgressBarSingal)
+        self.thread_1.listValue.connect(self.handleListWidgetSingal)
+        self.thread_1.endsignal.connect(self.handleEndsignalSignal)
+        self.time_start = time.time()  # save start time
+
+    def handleProgressBarSingal(self, i):
+        self.pb.setValue(i)
+
+        # calculate time left of auto labeling
+        avg_time = (time.time() - self.time_start) / i  # Use average time to prevent time fluctuations
+        time_left = str(datetime.timedelta(seconds=avg_time * (self.lender - i))).split(".")[0]  # Remove microseconds
+        self.setWindowTitle("PPOCRLabel  --  " + f"Time Left: {time_left}")  # show
+
+    def handleListWidgetSingal(self, i):
+        self.listWidget.addItem(i)
+        titem = self.listWidget.item(self.listWidget.count() - 1)
+        self.listWidget.scrollToItem(titem)
+
+    def handleEndsignalSignal(self, i, str):
+        if i == 0 and str == "readAll":
+            self.buttonBox.button(BB.Ok).setEnabled(True)
+            self.buttonBox.button(BB.Cancel).setEnabled(False)
+
+    def reject(self):
+        print("reject")
+        self.thread_1.handle = -1
+        self.thread_1.quit()
+        # del self.thread_1
+        # if self.thread_1.isRunning():
+        #     self.thread_1.terminate()
+        # self.thread_1.quit()
+        # super(AutoDialog,self).reject()
+        while not self.thread_1.isFinished():
+            pass
+        self.accept()
+
+    def validate(self):
+        self.accept()
+
+    def postProcess(self):
+        try:
+            self.edit.setText(self.edit.text().trimmed())
+            # print(self.edit.text())
+        except AttributeError:
+            # PyQt5: AttributeError: 'str' object has no attribute 'trimmed'
+            self.edit.setText(self.edit.text())
+            print(self.edit.text())
+
+    def popUp(self):
+        self.thread_1.start()
+        return 1 if self.exec_() else None
+
+    def closeEvent(self, event):
+        print("???")
+        # if self.thread_1.isRunning():
+        #     self.thread_1.quit()
+        #
+        #     # self._thread.terminate()
+        # # del self.thread_1
+        # super(AutoDialog, self).closeEvent(event)
+        self.reject()

PPOCRLabel/libs/canvas.py

@@ -0,0 +1,912 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+
+import copy
+
+from PyQt5.QtCore import Qt, pyqtSignal, QPointF, QPoint
+from PyQt5.QtGui import QPainter, QBrush, QColor, QPixmap
+from PyQt5.QtWidgets import QWidget, QMenu, QApplication
+from libs.shape import Shape
+from libs.utils import distance
+
+CURSOR_DEFAULT = Qt.ArrowCursor
+CURSOR_POINT = Qt.PointingHandCursor
+CURSOR_DRAW = Qt.CrossCursor
+CURSOR_MOVE = Qt.ClosedHandCursor
+CURSOR_GRAB = Qt.OpenHandCursor
+
+
+class Canvas(QWidget):
+    zoomRequest = pyqtSignal(int)
+    scrollRequest = pyqtSignal(int, int)
+    newShape = pyqtSignal()
+    # selectionChanged = pyqtSignal(bool)
+    selectionChanged = pyqtSignal(list)
+    shapeMoved = pyqtSignal()
+    drawingPolygon = pyqtSignal(bool)
+
+    CREATE, EDIT = list(range(2))
+    _fill_drawing = False # draw shadows
+
+    epsilon = 5.0
+
+    def __init__(self, *args, **kwargs):
+        super(Canvas, self).__init__(*args, **kwargs)
+        # Initialise local state.
+        self.mode = self.EDIT
+        self.shapes = []
+        self.shapesBackups = []
+        self.current = None
+        self.selectedShapes = []
+        self.selectedShape = None  # save the selected shape here
+        self.selectedShapesCopy = []
+        self.drawingLineColor = QColor(0, 0, 255)
+        self.drawingRectColor = QColor(0, 0, 255)
+        self.line = Shape(line_color=self.drawingLineColor)
+        self.prevPoint = QPointF()
+        self.offsets = QPointF(), QPointF()
+        self.scale = 1.0
+        self.pixmap = QPixmap()
+        self.visible = {}
+        self._hideBackround = False
+        self.hideBackround = False
+        self.hShape = None
+        self.hVertex = None
+        self._painter = QPainter()
+        self._cursor = CURSOR_DEFAULT
+        # Menus:
+        self.menus = (QMenu(), QMenu())
+        # Set widget options.
+        self.setMouseTracking(True)
+        self.setFocusPolicy(Qt.WheelFocus)
+        self.verified = False
+        self.drawSquare = False
+        self.fourpoint = True # ADD
+        self.pointnum = 0
+        self.movingShape = False
+        self.selectCountShape = False
+
+        #initialisation for panning
+        self.pan_initial_pos = QPoint()
+
+        #lockedshapes related 
+        self.lockedShapes = []
+        self.isInTheSameImage = False
+
+    def setDrawingColor(self, qColor):
+        self.drawingLineColor = qColor
+        self.drawingRectColor = qColor
+
+    def enterEvent(self, ev):
+        self.overrideCursor(self._cursor)
+
+    def leaveEvent(self, ev):
+        self.restoreCursor()
+
+    def focusOutEvent(self, ev):
+        self.restoreCursor()
+
+    def isVisible(self, shape):
+        return self.visible.get(shape, True)
+
+    def drawing(self):
+        return self.mode == self.CREATE
+
+    def editing(self):
+        return self.mode == self.EDIT
+
+    def setEditing(self, value=True):
+        self.mode = self.EDIT if value else self.CREATE
+        if not value:  # Create
+            self.unHighlight()
+            self.deSelectShape()
+        self.prevPoint = QPointF()
+        self.repaint()
+
+    def unHighlight(self):
+        if self.hShape:
+            self.hShape.highlightClear()
+        self.hVertex = self.hShape = None
+
+    def selectedVertex(self):
+        return self.hVertex is not None
+
+    def mouseMoveEvent(self, ev):
+        """Update line with last point and current coordinates."""
+        pos = self.transformPos(ev.pos())
+
+        # Update coordinates in status bar if image is opened
+        window = self.parent().window()
+        if window.filePath is not None:
+            self.parent().window().labelCoordinates.setText(
+                'X: %d; Y: %d' % (pos.x(), pos.y()))
+
+        # Polygon drawing.
+        if self.drawing():
+            self.overrideCursor(CURSOR_DRAW) # ?
+            if self.current:
+                # Display annotation width and height while drawing
+                currentWidth = abs(self.current[0].x() - pos.x())
+                currentHeight = abs(self.current[0].y() - pos.y())
+                self.parent().window().labelCoordinates.setText(
+                        'Width: %d, Height: %d / X: %d; Y: %d' % (currentWidth, currentHeight, pos.x(), pos.y()))
+
+                color = self.drawingLineColor
+                if self.outOfPixmap(pos):
+                    # Don't allow the user to draw outside the pixmap.
+                    # Clip the coordinates to 0 or max,
+                    # if they are outside the range [0, max]
+                    size = self.pixmap.size()
+                    clipped_x = min(max(0, pos.x()), size.width())
+                    clipped_y = min(max(0, pos.y()), size.height())
+                    pos = QPointF(clipped_x, clipped_y)
+
+                elif len(self.current) > 1 and self.closeEnough(pos, self.current[0]):
+                    # Attract line to starting point and colorise to alert the
+                    # user:
+                    pos = self.current[0]
+                    color = self.current.line_color
+                    self.overrideCursor(CURSOR_POINT)
+                    self.current.highlightVertex(0, Shape.NEAR_VERTEX)
+
+                if self.drawSquare:
+                    self.line.points = [self.current[0], pos]
+                    self.line.close()
+
+                elif self.fourpoint:
+                    self.line[0] = self.current[-1]
+                    self.line[1] = pos
+
+                else:
+                    self.line[1] = pos # pos is the mouse's current position
+
+                self.line.line_color = color
+                self.prevPoint = QPointF() # ？
+                self.current.highlightClear()
+            else:
+                self.prevPoint = pos
+            self.repaint()
+            return
+
+        # Polygon copy moving.
+        if Qt.RightButton & ev.buttons():
+            if self.selectedShapesCopy and self.prevPoint:
+                self.overrideCursor(CURSOR_MOVE)
+                self.boundedMoveShape(self.selectedShapesCopy, pos)
+                self.repaint()
+            elif self.selectedShapes:
+                self.selectedShapesCopy = [
+                    s.copy() for s in self.selectedShapes
+                ]
+                self.repaint()
+            return
+
+        # Polygon/Vertex moving.
+        if Qt.LeftButton & ev.buttons():
+            if self.selectedVertex():
+                self.boundedMoveVertex(pos)
+                self.shapeMoved.emit()
+                self.repaint()
+                self.movingShape = True
+            elif self.selectedShapes and self.prevPoint:
+                self.overrideCursor(CURSOR_MOVE)
+                self.boundedMoveShape(self.selectedShapes, pos)
+                self.shapeMoved.emit()
+                self.repaint()
+                self.movingShape = True
+            else:
+                #pan
+                delta_x = pos.x() - self.pan_initial_pos.x()
+                delta_y = pos.y() - self.pan_initial_pos.y()
+                self.scrollRequest.emit(delta_x, Qt.Horizontal)
+                self.scrollRequest.emit(delta_y, Qt.Vertical)
+                self.update()
+            return
+
+        # Just hovering over the canvas, 2 posibilities:
+        # - Highlight shapes
+        # - Highlight vertex
+        # Update shape/vertex fill and tooltip value accordingly.
+        self.setToolTip("Image")
+        for shape in reversed([s for s in self.shapes if self.isVisible(s)]):
+            # Look for a nearby vertex to highlight. If that fails,
+            # check if we happen to be inside a shape.
+            index = shape.nearestVertex(pos, self.epsilon)
+            if index is not None:
+                if self.selectedVertex():
+                    self.hShape.highlightClear()
+                self.hVertex, self.hShape = index, shape
+                shape.highlightVertex(index, shape.MOVE_VERTEX)
+                self.overrideCursor(CURSOR_POINT)
+                self.setToolTip("Click & drag to move point")
+                self.setStatusTip(self.toolTip())
+                self.update()
+                break
+            elif shape.containsPoint(pos):
+                if self.selectedVertex():
+                    self.hShape.highlightClear()
+                self.hVertex, self.hShape = None, shape
+                self.setToolTip(
+                    "Click & drag to move shape '%s'" % shape.label)
+                self.setStatusTip(self.toolTip())
+                self.overrideCursor(CURSOR_GRAB)
+                self.update()
+                break
+        else:  # Nothing found, clear highlights, reset state.
+            if self.hShape:
+                self.hShape.highlightClear()
+                self.update()
+            self.hVertex, self.hShape = None, None
+            self.overrideCursor(CURSOR_DEFAULT)
+
+    def mousePressEvent(self, ev):
+        pos = self.transformPos(ev.pos())
+        if ev.button() == Qt.LeftButton:
+            if self.drawing():
+                # self.handleDrawing(pos) # OLD
+                if self.current:
+                    if self.fourpoint: # ADD IF
+                        # Add point to existing shape.
+                        # print('Adding points in mousePressEvent is ', self.line[1])
+                        self.current.addPoint(self.line[1])
+                        self.line[0] = self.current[-1]
+                        if self.current.isClosed():
+                            # print('1111')
+                            self.finalise()
+                    elif self.drawSquare:
+                        assert len(self.current.points) == 1
+                        self.current.points = self.line.points
+                        self.finalise()
+                elif not self.outOfPixmap(pos):
+                    # Create new shape.
+                    self.current = Shape()
+                    self.current.addPoint(pos)
+                    self.line.points = [pos, pos]
+                    self.setHiding()
+                    self.drawingPolygon.emit(True)
+                    self.update()
+
+            else:
+                group_mode = int(ev.modifiers()) == Qt.ControlModifier
+                self.selectShapePoint(pos, multiple_selection_mode=group_mode)
+                self.prevPoint = pos
+                self.pan_initial_pos = pos
+
+        elif ev.button() == Qt.RightButton and self.editing():
+            group_mode = int(ev.modifiers()) == Qt.ControlModifier
+            self.selectShapePoint(pos, multiple_selection_mode=group_mode)
+            self.prevPoint = pos
+        self.update()
+
+    def mouseReleaseEvent(self, ev):
+        if ev.button() == Qt.RightButton:
+            menu = self.menus[bool(self.selectedShapesCopy)]
+            self.restoreCursor()
+            if not menu.exec_(self.mapToGlobal(ev.pos()))\
+               and self.selectedShapesCopy:
+                # Cancel the move by deleting the shadow copy.
+                # self.selectedShapeCopy = None
+                self.selectedShapesCopy = []
+                self.repaint()
+
+        elif ev.button() == Qt.LeftButton and self.selectedShapes:
+            if self.selectedVertex():
+                self.overrideCursor(CURSOR_POINT)
+            else:
+                self.overrideCursor(CURSOR_GRAB)
+
+        elif ev.button() == Qt.LeftButton and not self.fourpoint:
+            pos = self.transformPos(ev.pos())
+            if self.drawing():
+                self.handleDrawing(pos)
+            else:
+                #pan
+                QApplication.restoreOverrideCursor() # ?
+
+        if self.movingShape and self.hShape:
+            if self.hShape in self.shapes:
+                index = self.shapes.index(self.hShape)
+                if (
+                    self.shapesBackups[-1][index].points
+                    != self.shapes[index].points
+                ):
+                    self.storeShapes()
+                    self.shapeMoved.emit() # connect to updateBoxlist in PPOCRLabel.py
+
+                self.movingShape = False
+
+    def endMove(self, copy=False):
+        assert self.selectedShapes and self.selectedShapesCopy
+        assert len(self.selectedShapesCopy) == len(self.selectedShapes)
+        if copy:
+            for i, shape in enumerate(self.selectedShapesCopy):
+                shape.idx = len(self.shapes) # add current box index
+                self.shapes.append(shape)
+                self.selectedShapes[i].selected = False
+                self.selectedShapes[i] = shape
+        else:
+            for i, shape in enumerate(self.selectedShapesCopy):
+                self.selectedShapes[i].points = shape.points
+        self.selectedShapesCopy = []
+        self.repaint()
+        self.storeShapes()
+        return True
+
+    def hideBackroundShapes(self, value):
+        self.hideBackround = value
+        if self.selectedShapes:
+            # Only hide other shapes if there is a current selection.
+            # Otherwise the user will not be able to select a shape.
+            self.setHiding(True)
+            self.repaint()
+
+    def handleDrawing(self, pos):
+        if self.current and self.current.reachMaxPoints() is False:
+            if self.fourpoint:
+                targetPos = self.line[self.pointnum]
+                self.current.addPoint(targetPos)
+                print('current points in handleDrawing is ', self.line[self.pointnum])
+                self.update()
+                if self.pointnum == 3:
+                    self.finalise()
+
+            else:
+                initPos = self.current[0]
+                print('initPos', self.current[0])
+                minX = initPos.x()
+                minY = initPos.y()
+                targetPos = self.line[1]
+                maxX = targetPos.x()
+                maxY = targetPos.y()
+                self.current.addPoint(QPointF(maxX, minY))
+                self.current.addPoint(targetPos)
+                self.current.addPoint(QPointF(minX, maxY))
+                self.finalise()
+
+        elif not self.outOfPixmap(pos):
+            print('release')
+            self.current = Shape()
+            self.current.addPoint(pos)
+            self.line.points = [pos, pos]
+            self.setHiding()
+            self.drawingPolygon.emit(True)
+            self.update()
+
+    def setHiding(self, enable=True):
+        self._hideBackround = self.hideBackround if enable else False
+
+    def canCloseShape(self):
+        return self.drawing() and self.current and len(self.current) > 2
+
+    def mouseDoubleClickEvent(self, ev):
+        # We need at least 4 points here, since the mousePress handler
+        # adds an extra one before this handler is called.
+        if self.canCloseShape() and len(self.current) > 3:
+            if not self.fourpoint:
+                self.current.popPoint()
+            self.finalise()
+
+    def selectShapes(self, shapes):
+        for s in shapes: s.seleted = True
+        self.setHiding()
+        self.selectionChanged.emit(shapes)
+        self.update()
+
+    def selectShapePoint(self, point, multiple_selection_mode):
+        """Select the first shape created which contains this point."""
+        if self.selectedVertex():  # A vertex is marked for selection.
+            index, shape = self.hVertex, self.hShape
+            shape.highlightVertex(index, shape.MOVE_VERTEX)
+            return self.hVertex
+        else:
+            for shape in reversed(self.shapes):
+                if self.isVisible(shape) and shape.containsPoint(point):
+                    self.calculateOffsets(shape, point)
+                    self.setHiding()
+                    if multiple_selection_mode:
+                        if shape not in self.selectedShapes: # list
+                            self.selectionChanged.emit(
+                                self.selectedShapes + [shape]
+                            )
+                    else:
+                        self.selectionChanged.emit([shape])
+                    return
+        self.deSelectShape()
+
+    def calculateOffsets(self, shape, point):
+        rect = shape.boundingRect()
+        x1 = rect.x() - point.x()
+        y1 = rect.y() - point.y()
+        x2 = (rect.x() + rect.width()) - point.x()
+        y2 = (rect.y() + rect.height()) - point.y()
+        self.offsets = QPointF(x1, y1), QPointF(x2, y2)
+
+    def snapPointToCanvas(self, x, y):
+        """
+        Moves a point x,y to within the boundaries of the canvas.
+        :return: (x,y,snapped) where snapped is True if x or y were changed, False if not.
+        """
+        if x < 0 or x > self.pixmap.width() or y < 0 or y > self.pixmap.height():
+            x = max(x, 0)
+            y = max(y, 0)
+            x = min(x, self.pixmap.width())
+            y = min(y, self.pixmap.height())
+            return x, y, True
+
+        return x, y, False
+
+    def boundedMoveVertex(self, pos):
+        index, shape = self.hVertex, self.hShape
+        point = shape[index]
+        if self.outOfPixmap(pos):
+            size = self.pixmap.size()
+            clipped_x = min(max(0, pos.x()), size.width())
+            clipped_y = min(max(0, pos.y()), size.height())
+            pos = QPointF(clipped_x, clipped_y)
+
+        if self.drawSquare:
+            opposite_point_index = (index + 2) % 4
+            opposite_point = shape[opposite_point_index]
+
+            min_size = min(abs(pos.x() - opposite_point.x()), abs(pos.y() - opposite_point.y()))
+            directionX = -1 if pos.x() - opposite_point.x() < 0 else 1
+            directionY = -1 if pos.y() - opposite_point.y() < 0 else 1
+            shiftPos = QPointF(opposite_point.x() + directionX * min_size - point.x(),
+                               opposite_point.y() + directionY * min_size - point.y())
+        else:
+            shiftPos = pos - point
+
+        if [shape[0].x(), shape[0].y(), shape[2].x(), shape[2].y()] \
+                == [shape[3].x(),shape[1].y(),shape[1].x(),shape[3].y()]:
+            shape.moveVertexBy(index, shiftPos)
+            lindex = (index + 1) % 4
+            rindex = (index + 3) % 4
+            lshift = None
+            rshift = None
+            if index % 2 == 0:
+                rshift = QPointF(shiftPos.x(), 0)
+                lshift = QPointF(0, shiftPos.y())
+            else:
+                lshift = QPointF(shiftPos.x(), 0)
+                rshift = QPointF(0, shiftPos.y())
+            shape.moveVertexBy(rindex, rshift)
+            shape.moveVertexBy(lindex, lshift)
+
+        else:
+            shape.moveVertexBy(index, shiftPos)
+
+    def boundedMoveShape(self, shapes, pos):
+        if type(shapes).__name__ != 'list': shapes = [shapes]
+        if self.outOfPixmap(pos):
+            return False  # No need to move
+        o1 = pos + self.offsets[0]
+        if self.outOfPixmap(o1):
+            pos -= QPointF(min(0, o1.x()), min(0, o1.y()))
+        o2 = pos + self.offsets[1]
+        if self.outOfPixmap(o2):
+            pos += QPointF(min(0, self.pixmap.width() - o2.x()),
+                           min(0, self.pixmap.height() - o2.y()))
+        # The next line tracks the new position of the cursor
+        # relative to the shape, but also results in making it
+        # a bit "shaky" when nearing the border and allows it to
+        # go outside of the shape's area for some reason. XXX
+        #self.calculateOffsets(self.selectedShape, pos)
+        dp = pos - self.prevPoint
+        if dp:
+            for shape in shapes:
+                shape.moveBy(dp)
+                shape.close()
+            self.prevPoint = pos
+            return True
+        return False
+
+    def deSelectShape(self):
+        if self.selectedShapes:
+            for shape in self.selectedShapes: shape.selected=False
+            self.setHiding(False)
+            self.selectionChanged.emit([])
+            self.update()
+
+    def deleteSelected(self):
+        deleted_shapes = []
+        if self.selectedShapes:
+            for shape in self.selectedShapes:
+                self.shapes.remove(shape)
+                deleted_shapes.append(shape)
+            self.storeShapes()
+            self.selectedShapes = []
+            self.update()
+
+        self.updateShapeIndex()
+
+        return deleted_shapes
+
+    def storeShapes(self):
+        shapesBackup = []
+        for shape in self.shapes:
+            shapesBackup.append(shape.copy())
+        if len(self.shapesBackups) >= 10:
+            self.shapesBackups = self.shapesBackups[-9:]
+        self.shapesBackups.append(shapesBackup)
+
+    def copySelectedShape(self):
+        if self.selectedShapes:
+            self.selectedShapesCopy = [s.copy() for s in self.selectedShapes]
+            self.boundedShiftShapes(self.selectedShapesCopy)
+            self.endMove(copy=True)
+        return self.selectedShapes
+
+    def boundedShiftShapes(self, shapes):
+        # Try to move in one direction, and if it fails in another.
+        # Give up if both fail.
+        for shape in shapes:
+            point = shape[0]
+            offset = QPointF(5.0, 5.0)
+            self.calculateOffsets(shape, point)
+            self.prevPoint = point
+            if not self.boundedMoveShape(shape, point - offset):
+                self.boundedMoveShape(shape, point + offset)
+
+    def paintEvent(self, event):
+        if not self.pixmap:
+            return super(Canvas, self).paintEvent(event)
+
+        p = self._painter
+        p.begin(self)
+        p.setRenderHint(QPainter.Antialiasing)
+        p.setRenderHint(QPainter.HighQualityAntialiasing)
+        p.setRenderHint(QPainter.SmoothPixmapTransform)
+
+        p.scale(self.scale, self.scale)
+        p.translate(self.offsetToCenter())
+
+        p.drawPixmap(0, 0, self.pixmap)
+        Shape.scale = self.scale
+        for shape in self.shapes:
+            if (shape.selected or not self._hideBackround) and self.isVisible(shape):
+                shape.fill = shape.selected or shape == self.hShape
+                shape.paint(p)
+        if self.current:
+            self.current.paint(p)
+            self.line.paint(p)
+        if self.selectedShapesCopy:
+            for s in self.selectedShapesCopy:
+                s.paint(p)
+
+        # Paint rect
+        if self.current is not None and len(self.line) == 2 and not self.fourpoint:
+            # print('Drawing rect')
+            leftTop = self.line[0]
+            rightBottom = self.line[1]
+            rectWidth = rightBottom.x() - leftTop.x()
+            rectHeight = rightBottom.y() - leftTop.y()
+            p.setPen(self.drawingRectColor)
+            brush = QBrush(Qt.BDiagPattern)
+            p.setBrush(brush)
+            p.drawRect(leftTop.x(), leftTop.y(), rectWidth, rectHeight)
+
+
+        # ADD：
+        if (
+                self.fillDrawing()
+                and self.fourpoint
+                and self.current is not None
+                and len(self.current.points) >= 2
+        ):
+            print('paint event')
+            drawing_shape = self.current.copy()
+            drawing_shape.addPoint(self.line[1])
+            drawing_shape.fill = True
+            drawing_shape.paint(p)
+
+        if self.drawing() and not self.prevPoint.isNull() and not self.outOfPixmap(self.prevPoint):
+            p.setPen(QColor(0, 0, 0))
+            p.drawLine(int(self.prevPoint.x()), 0, int(self.prevPoint.x()), self.pixmap.height())
+            p.drawLine(0, int(self.prevPoint.y()), self.pixmap.width(), int(self.prevPoint.y()))
+
+        self.setAutoFillBackground(True)
+        if self.verified:
+            pal = self.palette()
+            pal.setColor(self.backgroundRole(), QColor(184, 239, 38, 128))
+            self.setPalette(pal)
+        else:
+            pal = self.palette()
+            pal.setColor(self.backgroundRole(), QColor(232, 232, 232, 255))
+            self.setPalette(pal)
+
+        # adaptive BBOX label & index font size
+        if self.pixmap:
+            h, w = self.pixmap.size().height(), self.pixmap.size().width()
+            fontszie = int(max(h, w) / 48)
+            for s in self.shapes:
+                s.fontsize = fontszie
+        
+        p.end()
+
+    def fillDrawing(self):
+        return self._fill_drawing
+
+    def transformPos(self, point):
+        """Convert from widget-logical coordinates to painter-logical coordinates."""
+        return point / self.scale - self.offsetToCenter()
+
+    def offsetToCenter(self):
+        s = self.scale
+        area = super(Canvas, self).size()
+        w, h = self.pixmap.width() * s, self.pixmap.height() * s
+        aw, ah = area.width(), area.height()
+        x = (aw - w) / (2 * s) if aw > w else 0
+        y = (ah - h) / (2 * s) if ah > h else 0
+        return QPointF(x, y)
+
+    def outOfPixmap(self, p):
+        w, h = self.pixmap.width(), self.pixmap.height()
+        return not (0 <= p.x() <= w and 0 <= p.y() <= h)
+
+    def finalise(self):
+        assert self.current
+        if self.current.points[0] == self.current.points[-1]:
+            # print('finalse')
+            self.current = None
+            self.drawingPolygon.emit(False)
+            self.update()
+            return
+
+        self.current.close()
+        self.current.idx = len(self.shapes) # add current box index
+        self.shapes.append(self.current) 
+        self.current = None
+        self.setHiding(False)
+        self.newShape.emit()
+        self.update()
+
+    def closeEnough(self, p1, p2):
+        #d = distance(p1 - p2)
+        #m = (p1-p2).manhattanLength()
+        # print "d %.2f, m %d, %.2f" % (d, m, d - m)
+        return distance(p1 - p2) < self.epsilon
+
+    # These two, along with a call to adjustSize are required for the
+    # scroll area.
+    def sizeHint(self):
+        return self.minimumSizeHint()
+
+    def minimumSizeHint(self):
+        if self.pixmap:
+            return self.scale * self.pixmap.size()
+        return super(Canvas, self).minimumSizeHint()
+
+    def wheelEvent(self, ev):
+        qt_version = 4 if hasattr(ev, "delta") else 5
+        if qt_version == 4:
+            if ev.orientation() == Qt.Vertical:
+                v_delta = ev.delta()
+                h_delta = 0
+            else:
+                h_delta = ev.delta()
+                v_delta = 0
+        else:
+            delta = ev.angleDelta()
+            h_delta = delta.x()
+            v_delta = delta.y()
+
+        mods = ev.modifiers()
+        if Qt.ControlModifier == int(mods) and v_delta:
+            self.zoomRequest.emit(v_delta)
+        else:
+            v_delta and self.scrollRequest.emit(v_delta, Qt.Vertical)
+            h_delta and self.scrollRequest.emit(h_delta, Qt.Horizontal)
+        ev.accept()
+
+    def keyPressEvent(self, ev):
+        key = ev.key()
+        shapesBackup = copy.deepcopy(self.shapes)
+        if len(shapesBackup) == 0:
+            return
+        self.shapesBackups.pop()
+        self.shapesBackups.append(shapesBackup)
+        if key == Qt.Key_Escape and self.current:
+            print('ESC press')
+            self.current = None
+            self.drawingPolygon.emit(False)
+            self.update()
+        elif key == Qt.Key_Return and self.canCloseShape():
+            self.finalise()
+        elif key == Qt.Key_Left and self.selectedShapes:
+             self.moveOnePixel('Left')
+        elif key == Qt.Key_Right and self.selectedShapes:
+             self.moveOnePixel('Right')
+        elif key == Qt.Key_Up and self.selectedShapes:
+             self.moveOnePixel('Up')
+        elif key == Qt.Key_Down and self.selectedShapes:
+             self.moveOnePixel('Down')
+        elif key == Qt.Key_X and self.selectedShapes:
+            for i in range(len(self.selectedShapes)):
+                self.selectedShape = self.selectedShapes[i]
+                if self.rotateOutOfBound(0.01):
+                    continue
+                self.selectedShape.rotate(0.01)
+            self.shapeMoved.emit()
+            self.update()
+
+        elif key == Qt.Key_C and self.selectedShapes:
+            for i in range(len(self.selectedShapes)):
+                self.selectedShape = self.selectedShapes[i]
+                if self.rotateOutOfBound(-0.01):
+                    continue
+                self.selectedShape.rotate(-0.01)
+            self.shapeMoved.emit()
+            self.update()
+
+    def rotateOutOfBound(self, angle):
+        for shape in range(len(self.selectedShapes)):
+            self.selectedShape = self.selectedShapes[shape]
+            for i, p in enumerate(self.selectedShape.points):
+                if self.outOfPixmap(self.selectedShape.rotatePoint(p, angle)):
+                    return True
+            return False
+
+    def moveOnePixel(self, direction):
+        # print(self.selectedShape.points)
+        self.selectCount = len(self.selectedShapes)
+        self.selectCountShape = True
+        for i in range(len(self.selectedShapes)):
+            self.selectedShape = self.selectedShapes[i]
+            if direction == 'Left' and not self.moveOutOfBound(QPointF(-1.0, 0)):
+                # print("move Left one pixel")
+                self.selectedShape.points[0] += QPointF(-1.0, 0)
+                self.selectedShape.points[1] += QPointF(-1.0, 0)
+                self.selectedShape.points[2] += QPointF(-1.0, 0)
+                self.selectedShape.points[3] += QPointF(-1.0, 0)
+            elif direction == 'Right' and not self.moveOutOfBound(QPointF(1.0, 0)):
+                # print("move Right one pixel")
+                self.selectedShape.points[0] += QPointF(1.0, 0)
+                self.selectedShape.points[1] += QPointF(1.0, 0)
+                self.selectedShape.points[2] += QPointF(1.0, 0)
+                self.selectedShape.points[3] += QPointF(1.0, 0)
+            elif direction == 'Up' and not self.moveOutOfBound(QPointF(0, -1.0)):
+                # print("move Up one pixel")
+                self.selectedShape.points[0] += QPointF(0, -1.0)
+                self.selectedShape.points[1] += QPointF(0, -1.0)
+                self.selectedShape.points[2] += QPointF(0, -1.0)
+                self.selectedShape.points[3] += QPointF(0, -1.0)
+            elif direction == 'Down' and not self.moveOutOfBound(QPointF(0, 1.0)):
+                # print("move Down one pixel")
+                self.selectedShape.points[0] += QPointF(0, 1.0)
+                self.selectedShape.points[1] += QPointF(0, 1.0)
+                self.selectedShape.points[2] += QPointF(0, 1.0)
+                self.selectedShape.points[3] += QPointF(0, 1.0)
+        shapesBackup = []
+        shapesBackup = copy.deepcopy(self.shapes)
+        self.shapesBackups.append(shapesBackup)
+        self.shapeMoved.emit()
+        self.repaint()
+
+    def moveOutOfBound(self, step):
+        points = [p1+p2 for p1, p2 in zip(self.selectedShape.points, [step]*4)]
+        return True in map(self.outOfPixmap, points)
+
+    def setLastLabel(self, text, line_color=None, fill_color=None, key_cls=None):
+        assert text
+        self.shapes[-1].label = text
+        if line_color:
+            self.shapes[-1].line_color = line_color
+
+        if fill_color:
+            self.shapes[-1].fill_color = fill_color
+
+        if key_cls:
+            self.shapes[-1].key_cls = key_cls
+
+        self.storeShapes()
+
+        return self.shapes[-1]
+
+    def undoLastLine(self):
+        assert self.shapes
+        self.current = self.shapes.pop()
+        self.current.setOpen()
+        self.line.points = [self.current[-1], self.current[0]]
+        self.drawingPolygon.emit(True)
+
+    def undoLastPoint(self):
+        if not self.current or self.current.isClosed():
+            return
+        self.current.popPoint()
+        if len(self.current) > 0:
+            self.line[0] = self.current[-1]
+        else:
+            self.current = None
+            self.drawingPolygon.emit(False)
+        self.repaint()
+
+    def resetAllLines(self):
+        assert self.shapes
+        self.current = self.shapes.pop()
+        self.current.setOpen()
+        self.line.points = [self.current[-1], self.current[0]]
+        self.drawingPolygon.emit(True)
+        self.current = None
+        self.drawingPolygon.emit(False)
+        self.update()
+
+    def loadPixmap(self, pixmap):
+        self.pixmap = pixmap
+        self.shapes = []
+        self.repaint()
+
+    def loadShapes(self, shapes, replace=True):
+        if replace:
+            self.shapes = list(shapes)
+        else:
+            self.shapes.extend(shapes)
+        self.current = None
+        self.hShape = None
+        self.hVertex = None
+        # self.hEdge = None
+        self.storeShapes()
+        self.updateShapeIndex()
+        self.repaint()
+
+    def setShapeVisible(self, shape, value):
+        self.visible[shape] = value
+        self.repaint()
+
+    def currentCursor(self):
+        cursor = QApplication.overrideCursor()
+        if cursor is not None:
+            cursor = cursor.shape()
+        return cursor
+
+    def overrideCursor(self, cursor):
+        self._cursor = cursor
+        if self.currentCursor() is None:
+            QApplication.setOverrideCursor(cursor)
+        else:
+            QApplication.changeOverrideCursor(cursor)
+
+    def restoreCursor(self):
+        QApplication.restoreOverrideCursor()
+
+    def resetState(self):
+        self.restoreCursor()
+        self.pixmap = None
+        self.update()
+        self.shapesBackups = []
+
+    def setDrawingShapeToSquare(self, status):
+        self.drawSquare = status
+
+    def restoreShape(self):
+        if not self.isShapeRestorable:
+            return
+
+        self.shapesBackups.pop()  # latest
+        shapesBackup = self.shapesBackups.pop()
+        self.shapes = shapesBackup
+        self.selectedShapes = []
+        for shape in self.shapes:
+            shape.selected = False
+        self.updateShapeIndex()
+        self.repaint()
+    
+    @property
+    def isShapeRestorable(self):
+        if len(self.shapesBackups) < 2:
+            return False
+        return True
+
+    def updateShapeIndex(self):
+        for i in range(len(self.shapes)):
+            self.shapes[i].idx = i
+        self.update()

PPOCRLabel/libs/colorDialog.py

@@ -0,0 +1,49 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+try:
+    from PyQt5.QtGui import *
+    from PyQt5.QtCore import *
+    from PyQt5.QtWidgets import QColorDialog, QDialogButtonBox
+except ImportError:
+    from PyQt4.QtGui import *
+    from PyQt4.QtCore import *
+
+BB = QDialogButtonBox
+
+
+class ColorDialog(QColorDialog):
+
+    def __init__(self, parent=None):
+        super(ColorDialog, self).__init__(parent)
+        self.setOption(QColorDialog.ShowAlphaChannel)
+        # The Mac native dialog does not support our restore button.
+        self.setOption(QColorDialog.DontUseNativeDialog)
+        # Add a restore defaults button.
+        # The default is set at invocation time, so that it
+        # works across dialogs for different elements.
+        self.default = None
+        self.bb = self.layout().itemAt(1).widget()
+        self.bb.addButton(BB.RestoreDefaults)
+        self.bb.clicked.connect(self.checkRestore)
+
+    def getColor(self, value=None, title=None, default=None):
+        self.default = default
+        if title:
+            self.setWindowTitle(title)
+        if value:
+            self.setCurrentColor(value)
+        return self.currentColor() if self.exec_() else None
+
+    def checkRestore(self, button):
+        if self.bb.buttonRole(button) & BB.ResetRole and self.default:
+            self.setCurrentColor(self.default)

PPOCRLabel/libs/constants.py

@@ -0,0 +1,32 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+SETTING_FILENAME = 'filename'
+SETTING_RECENT_FILES = 'recentFiles'
+SETTING_WIN_SIZE = 'window/size'
+SETTING_WIN_POSE = 'window/position'
+SETTING_WIN_GEOMETRY = 'window/geometry'
+SETTING_LINE_COLOR = 'line/color'
+SETTING_FILL_COLOR = 'fill/color'
+SETTING_ADVANCE_MODE = 'advanced'
+SETTING_WIN_STATE = 'window/state'
+SETTING_SAVE_DIR = 'savedir'
+SETTING_PAINT_LABEL = 'paintlabel'
+SETTING_PAINT_INDEX = 'paintindex'
+SETTING_LAST_OPEN_DIR = 'lastOpenDir'
+SETTING_AUTO_SAVE = 'autosave'
+SETTING_SINGLE_CLASS = 'singleclass'
+FORMAT_PASCALVOC='PascalVOC'
+FORMAT_YOLO='YOLO'
+SETTING_DRAW_SQUARE = 'draw/square'
+SETTING_LABEL_FILE_FORMAT= 'labelFileFormat'
+DEFAULT_ENCODING = 'utf-8'

PPOCRLabel/libs/create_ml_io.py

@@ -0,0 +1,143 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+#!/usr/bin/env python
+# -*- coding: utf8 -*-
+import json
+from pathlib import Path
+
+from libs.constants import DEFAULT_ENCODING
+import os
+
+JSON_EXT = '.json'
+ENCODE_METHOD = DEFAULT_ENCODING
+
+
+class CreateMLWriter:
+    def __init__(self, foldername, filename, imgsize, shapes, outputfile, databasesrc='Unknown', localimgpath=None):
+        self.foldername = foldername
+        self.filename = filename
+        self.databasesrc = databasesrc
+        self.imgsize = imgsize
+        self.boxlist = []
+        self.localimgpath = localimgpath
+        self.verified = False
+        self.shapes = shapes
+        self.outputfile = outputfile
+
+    def write(self):
+        if os.path.isfile(self.outputfile):
+            with open(self.outputfile, "r") as file:
+                input_data = file.read()
+                outputdict = json.loads(input_data)
+        else:
+            outputdict = []
+
+        outputimagedict = {
+            "image": self.filename,
+            "annotations": []
+        }
+
+        for shape in self.shapes:
+            points = shape["points"]
+
+            x1 = points[0][0]
+            y1 = points[0][1]
+            x2 = points[1][0]
+            y2 = points[2][1]
+
+            height, width, x, y = self.calculate_coordinates(x1, x2, y1, y2)
+
+            shapedict = {
+                "label": shape["label"],
+                "coordinates": {
+                    "x": x,
+                    "y": y,
+                    "width": width,
+                    "height": height
+                }
+            }
+            outputimagedict["annotations"].append(shapedict)
+
+        # check if image already in output
+        exists = False
+        for i in range(0, len(outputdict)):
+            if outputdict[i]["image"] == outputimagedict["image"]:
+                exists = True
+                outputdict[i] = outputimagedict
+                break
+
+        if not exists:
+            outputdict.append(outputimagedict)
+
+        Path(self.outputfile).write_text(json.dumps(outputdict), ENCODE_METHOD)
+
+    def calculate_coordinates(self, x1, x2, y1, y2):
+        if x1 < x2:
+            xmin = x1
+            xmax = x2
+        else:
+            xmin = x2
+            xmax = x1
+        if y1 < y2:
+            ymin = y1
+            ymax = y2
+        else:
+            ymin = y2
+            ymax = y1
+        width = xmax - xmin
+        if width < 0:
+            width = width * -1
+        height = ymax - ymin
+        # x and y from center of rect
+        x = xmin + width / 2
+        y = ymin + height / 2
+        return height, width, x, y
+
+
+class CreateMLReader:
+    def __init__(self, jsonpath, filepath):
+        self.jsonpath = jsonpath
+        self.shapes = []
+        self.verified = False
+        self.filename = filepath.split("/")[-1:][0]
+        try:
+            self.parse_json()
+        except ValueError:
+            print("JSON decoding failed")
+
+    def parse_json(self):
+        with open(self.jsonpath, "r") as file:
+            inputdata = file.read()
+
+        outputdict = json.loads(inputdata)
+        self.verified = True
+
+        if len(self.shapes) > 0:
+            self.shapes = []
+        for image in outputdict:
+            if image["image"] == self.filename:
+                for shape in image["annotations"]:
+                    self.add_shape(shape["label"], shape["coordinates"])
+
+    def add_shape(self, label, bndbox):
+        xmin = bndbox["x"] - (bndbox["width"] / 2)
+        ymin = bndbox["y"] - (bndbox["height"] / 2)
+
+        xmax = bndbox["x"] + (bndbox["width"] / 2)
+        ymax = bndbox["y"] + (bndbox["height"] / 2)
+
+        points = [(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax)]
+        self.shapes.append((label, points, None, None, True))
+
+    def get_shapes(self):
+        return self.shapes

PPOCRLabel/libs/editinlist.py

@@ -0,0 +1,29 @@
+# !/usr/bin/env python
+# -*- coding: utf-8 -*-
+from PyQt5.QtCore import QModelIndex
+from PyQt5.QtWidgets import QListWidget
+
+
+class EditInList(QListWidget):
+    def __init__(self):
+        super(EditInList, self).__init__()
+        self.edited_item = None
+
+    def item_clicked(self, modelindex: QModelIndex):
+        try:
+            if self.edited_item is not None:
+                self.closePersistentEditor(self.edited_item)
+        except:
+            self.edited_item = self.currentItem()
+
+        self.edited_item = self.item(modelindex.row())
+        self.openPersistentEditor(self.edited_item)
+        self.editItem(self.edited_item)
+
+    def mouseDoubleClickEvent(self, event):
+        pass
+
+    def leaveEvent(self, event):
+        # close edit
+        for i in range(self.count()):
+            self.closePersistentEditor(self.item(i))

PPOCRLabel/libs/hashableQListWidgetItem.py

@@ -0,0 +1,40 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+import sys
+try:
+    from PyQt5.QtGui import *
+    from PyQt5.QtCore import *
+    from PyQt5.QtWidgets import *
+except ImportError:
+    # needed for py3+qt4
+    # Ref:
+    # http://pyqt.sourceforge.net/Docs/PyQt4/incompatible_apis.html
+    # http://stackoverflow.com/questions/21217399/pyqt4-qtcore-qvariant-object-instead-of-a-string
+    if sys.version_info.major >= 3:
+        import sip
+        sip.setapi('QVariant', 2)
+    from PyQt4.QtGui import *
+    from PyQt4.QtCore import *
+
+# PyQt5: TypeError: unhashable type: 'QListWidgetItem'
+
+
+class HashableQListWidgetItem(QListWidgetItem):
+
+    def __init__(self, *args):
+        super(HashableQListWidgetItem, self).__init__(*args)
+
+    def __hash__(self):
+        return hash(id(self))

PPOCRLabel/libs/keyDialog.py

@@ -0,0 +1,216 @@
+import re
+
+from PyQt5 import QtCore
+from PyQt5 import QtGui
+from PyQt5 import QtWidgets
+from PyQt5.Qt import QT_VERSION_STR
+from libs.utils import newIcon, labelValidator
+
+QT5 = QT_VERSION_STR[0] == '5'
+
+
+# TODO(unknown):
+# - Calculate optimal position so as not to go out of screen area.
+
+
+class KeyQLineEdit(QtWidgets.QLineEdit):
+    def setListWidget(self, list_widget):
+        self.list_widget = list_widget
+
+    def keyPressEvent(self, e):
+        if e.key() in [QtCore.Qt.Key_Up, QtCore.Qt.Key_Down]:
+            self.list_widget.keyPressEvent(e)
+        else:
+            super(KeyQLineEdit, self).keyPressEvent(e)
+
+
+class KeyDialog(QtWidgets.QDialog):
+    def __init__(
+            self,
+            text="Enter object label",
+            parent=None,
+            labels=None,
+            sort_labels=True,
+            show_text_field=True,
+            completion="startswith",
+            fit_to_content=None,
+            flags=None,
+    ):
+        if fit_to_content is None:
+            fit_to_content = {"row": False, "column": True}
+        self._fit_to_content = fit_to_content
+
+        super(KeyDialog, self).__init__(parent)
+        self.edit = KeyQLineEdit()
+        self.edit.setPlaceholderText(text)
+        self.edit.setValidator(labelValidator())
+        self.edit.editingFinished.connect(self.postProcess)
+        if flags:
+            self.edit.textChanged.connect(self.updateFlags)
+
+        layout = QtWidgets.QVBoxLayout()
+        if show_text_field:
+            layout_edit = QtWidgets.QHBoxLayout()
+            layout_edit.addWidget(self.edit, 6)
+            layout.addLayout(layout_edit)
+        # buttons
+        self.buttonBox = bb = QtWidgets.QDialogButtonBox(
+            QtWidgets.QDialogButtonBox.Ok | QtWidgets.QDialogButtonBox.Cancel,
+            QtCore.Qt.Horizontal,
+            self,
+        )
+        bb.button(bb.Ok).setIcon(newIcon("done"))
+        bb.button(bb.Cancel).setIcon(newIcon("undo"))
+        bb.accepted.connect(self.validate)
+        bb.rejected.connect(self.reject)
+        layout.addWidget(bb)
+        # label_list
+        self.labelList = QtWidgets.QListWidget()
+        if self._fit_to_content["row"]:
+            self.labelList.setHorizontalScrollBarPolicy(
+                QtCore.Qt.ScrollBarAlwaysOff
+            )
+        if self._fit_to_content["column"]:
+            self.labelList.setVerticalScrollBarPolicy(
+                QtCore.Qt.ScrollBarAlwaysOff
+            )
+        self._sort_labels = sort_labels
+        if labels:
+            self.labelList.addItems(labels)
+        if self._sort_labels:
+            self.labelList.sortItems()
+        else:
+            self.labelList.setDragDropMode(
+                QtWidgets.QAbstractItemView.InternalMove
+            )
+        self.labelList.currentItemChanged.connect(self.labelSelected)
+        self.labelList.itemDoubleClicked.connect(self.labelDoubleClicked)
+        self.edit.setListWidget(self.labelList)
+        layout.addWidget(self.labelList)
+        # label_flags
+        if flags is None:
+            flags = {}
+        self._flags = flags
+        self.flagsLayout = QtWidgets.QVBoxLayout()
+        self.resetFlags()
+        layout.addItem(self.flagsLayout)
+        self.edit.textChanged.connect(self.updateFlags)
+        self.setLayout(layout)
+        # completion
+        completer = QtWidgets.QCompleter()
+        if not QT5 and completion != "startswith":
+            completion = "startswith"
+        if completion == "startswith":
+            completer.setCompletionMode(QtWidgets.QCompleter.InlineCompletion)
+            # Default settings.
+            # completer.setFilterMode(QtCore.Qt.MatchStartsWith)
+        elif completion == "contains":
+            completer.setCompletionMode(QtWidgets.QCompleter.PopupCompletion)
+            completer.setFilterMode(QtCore.Qt.MatchContains)
+        else:
+            raise ValueError("Unsupported completion: {}".format(completion))
+        completer.setModel(self.labelList.model())
+        self.edit.setCompleter(completer)
+
+    def addLabelHistory(self, label):
+        if self.labelList.findItems(label, QtCore.Qt.MatchExactly):
+            return
+        self.labelList.addItem(label)
+        if self._sort_labels:
+            self.labelList.sortItems()
+
+    def labelSelected(self, item):
+        self.edit.setText(item.text())
+
+    def validate(self):
+        text = self.edit.text()
+        if hasattr(text, "strip"):
+            text = text.strip()
+        else:
+            text = text.trimmed()
+        if text:
+            self.accept()
+
+    def labelDoubleClicked(self, item):
+        self.validate()
+
+    def postProcess(self):
+        text = self.edit.text()
+        if hasattr(text, "strip"):
+            text = text.strip()
+        else:
+            text = text.trimmed()
+        self.edit.setText(text)
+
+    def updateFlags(self, label_new):
+        # keep state of shared flags
+        flags_old = self.getFlags()
+
+        flags_new = {}
+        for pattern, keys in self._flags.items():
+            if re.match(pattern, label_new):
+                for key in keys:
+                    flags_new[key] = flags_old.get(key, False)
+        self.setFlags(flags_new)
+
+    def deleteFlags(self):
+        for i in reversed(range(self.flagsLayout.count())):
+            item = self.flagsLayout.itemAt(i).widget()
+            self.flagsLayout.removeWidget(item)
+            item.setParent(None)
+
+    def resetFlags(self, label=""):
+        flags = {}
+        for pattern, keys in self._flags.items():
+            if re.match(pattern, label):
+                for key in keys:
+                    flags[key] = False
+        self.setFlags(flags)
+
+    def setFlags(self, flags):
+        self.deleteFlags()
+        for key in flags:
+            item = QtWidgets.QCheckBox(key, self)
+            item.setChecked(flags[key])
+            self.flagsLayout.addWidget(item)
+            item.show()
+
+    def getFlags(self):
+        flags = {}
+        for i in range(self.flagsLayout.count()):
+            item = self.flagsLayout.itemAt(i).widget()
+            flags[item.text()] = item.isChecked()
+        return flags
+
+    def popUp(self, text=None, move=True, flags=None):
+        if self._fit_to_content["row"]:
+            self.labelList.setMinimumHeight(
+                self.labelList.sizeHintForRow(0) * self.labelList.count() + 2
+            )
+        if self._fit_to_content["column"]:
+            self.labelList.setMinimumWidth(
+                self.labelList.sizeHintForColumn(0) + 2
+            )
+        # if text is None, the previous label in self.edit is kept
+        if text is None:
+            text = self.edit.text()
+        if flags:
+            self.setFlags(flags)
+        else:
+            self.resetFlags(text)
+        self.edit.setText(text)
+        self.edit.setSelection(0, len(text))
+
+        items = self.labelList.findItems(text, QtCore.Qt.MatchFixedString)
+        if items:
+            if len(items) != 1:
+                self.labelList.setCurrentItem(items[0])
+            row = self.labelList.row(items[0])
+            self.edit.completer().setCurrentRow(row)
+        self.edit.setFocus(QtCore.Qt.PopupFocusReason)
+        if move:
+            self.move(QtGui.QCursor.pos())
+        if self.exec_():
+            return self.edit.text(), self.getFlags()
+        else:
+            return None, None

PPOCRLabel/libs/labelColor.py

@@ -0,0 +1,88 @@
+import PIL.Image
+import numpy as np
+
+
+def rgb2hsv(rgb):
+    # type: (np.ndarray) -> np.ndarray
+    """Convert rgb to hsv.
+
+    Parameters
+    ----------
+    rgb: numpy.ndarray, (H, W, 3), np.uint8
+        Input rgb image.
+
+    Returns
+    -------
+    hsv: numpy.ndarray, (H, W, 3), np.uint8
+        Output hsv image.
+
+    """
+    hsv = PIL.Image.fromarray(rgb, mode="RGB")
+    hsv = hsv.convert("HSV")
+    hsv = np.array(hsv)
+    return hsv
+
+
+def hsv2rgb(hsv):
+    # type: (np.ndarray) -> np.ndarray
+    """Convert hsv to rgb.
+
+    Parameters
+    ----------
+    hsv: numpy.ndarray, (H, W, 3), np.uint8
+        Input hsv image.
+
+    Returns
+    -------
+    rgb: numpy.ndarray, (H, W, 3), np.uint8
+        Output rgb image.
+
+    """
+    rgb = PIL.Image.fromarray(hsv, mode="HSV")
+    rgb = rgb.convert("RGB")
+    rgb = np.array(rgb)
+    return rgb
+
+
+def label_colormap(n_label=256, value=None):
+    """Label colormap.
+
+    Parameters
+    ----------
+    n_label: int
+        Number of labels (default: 256).
+    value: float or int
+        Value scale or value of label color in HSV space.
+
+    Returns
+    -------
+    cmap: numpy.ndarray, (N, 3), numpy.uint8
+        Label id to colormap.
+
+    """
+
+    def bitget(byteval, idx):
+        return (byteval & (1 << idx)) != 0
+
+    cmap = np.zeros((n_label, 3), dtype=np.uint8)
+    for i in range(0, n_label):
+        id = i
+        r, g, b = 0, 0, 0
+        for j in range(0, 8):
+            r = np.bitwise_or(r, (bitget(id, 0) << 7 - j))
+            g = np.bitwise_or(g, (bitget(id, 1) << 7 - j))
+            b = np.bitwise_or(b, (bitget(id, 2) << 7 - j))
+            id = id >> 3
+        cmap[i, 0] = r
+        cmap[i, 1] = g
+        cmap[i, 2] = b
+
+    if value is not None:
+        hsv = rgb2hsv(cmap.reshape(1, -1, 3))
+        if isinstance(value, float):
+            hsv[:, 1:, 2] = hsv[:, 1:, 2].astype(float) * value
+        else:
+            assert isinstance(value, int)
+            hsv[:, 1:, 2] = value
+        cmap = hsv2rgb(hsv).reshape(-1, 3)
+    return cmap

PPOCRLabel/libs/labelDialog.py

@@ -0,0 +1,107 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+try:
+    from PyQt5.QtGui import *
+    from PyQt5.QtCore import *
+    from PyQt5.QtWidgets import *
+except ImportError:
+    from PyQt4.QtGui import *
+    from PyQt4.QtCore import *
+
+from libs.utils import newIcon, labelValidator
+
+BB = QDialogButtonBox
+
+
+class LabelDialog(QDialog):
+
+    def __init__(self, text="Enter object label", parent=None, listItem=None):
+        super(LabelDialog, self).__init__(parent)
+
+        self.edit = QLineEdit()  # OLD
+        # self.edit = QTextEdit()
+        self.edit.setText(text)
+        # self.edit.setValidator(labelValidator()) # 验证有效性
+        self.edit.editingFinished.connect(self.postProcess)
+
+        model = QStringListModel()
+        model.setStringList(listItem)
+        completer = QCompleter()
+        completer.setModel(model)
+        self.edit.setCompleter(completer)
+
+        layout = QVBoxLayout()
+        layout.addWidget(self.edit)
+        self.buttonBox = bb = BB(BB.Ok | BB.Cancel, Qt.Horizontal, self)
+        bb.button(BB.Ok).setIcon(newIcon('done'))
+        bb.button(BB.Cancel).setIcon(newIcon('undo'))
+        bb.accepted.connect(self.validate)
+        bb.rejected.connect(self.reject)
+        layout.addWidget(bb)
+
+        # if listItem is not None and len(listItem) > 0:
+        #     self.listWidget = QListWidget(self)
+        #     for item in listItem:
+        #         self.listWidget.addItem(item)
+        #     self.listWidget.itemClicked.connect(self.listItemClick)
+        #     self.listWidget.itemDoubleClicked.connect(self.listItemDoubleClick)
+        #     layout.addWidget(self.listWidget)
+
+        self.setLayout(layout)
+
+    def validate(self):
+        try:
+            if self.edit.text().trimmed():
+                self.accept()
+        except AttributeError:
+            # PyQt5: AttributeError: 'str' object has no attribute 'trimmed'
+            if self.edit.text().strip():
+                self.accept()
+
+    def postProcess(self):
+        try:
+            self.edit.setText(self.edit.text().trimmed())
+            # print(self.edit.text())
+        except AttributeError:
+            # PyQt5: AttributeError: 'str' object has no attribute 'trimmed'
+            self.edit.setText(self.edit.text())
+            print(self.edit.text())
+
+    def popUp(self, text='', move=True):
+        self.edit.setText(text)
+        self.edit.setSelection(0, len(text))
+        self.edit.setFocus(Qt.PopupFocusReason)
+        if move:
+            cursor_pos = QCursor.pos()
+            parent_bottomRight = self.parentWidget().geometry()
+            max_x = parent_bottomRight.x() + parent_bottomRight.width() - self.sizeHint().width()
+            max_y = parent_bottomRight.y() + parent_bottomRight.height() - self.sizeHint().height()
+            max_global = self.parentWidget().mapToGlobal(QPoint(max_x, max_y))
+            if cursor_pos.x() > max_global.x():
+                cursor_pos.setX(max_global.x())
+            if cursor_pos.y() > max_global.y():
+                cursor_pos.setY(max_global.y())
+            self.move(cursor_pos)
+        return self.edit.text() if self.exec_() else None
+
+    def listItemClick(self, tQListWidgetItem):
+        try:
+            text = tQListWidgetItem.text().trimmed()
+        except AttributeError:
+            # PyQt5: AttributeError: 'str' object has no attribute 'trimmed'
+            text = tQListWidgetItem.text().strip()
+        self.edit.setText(text)
+
+    def listItemDoubleClick(self, tQListWidgetItem):
+        self.listItemClick(tQListWidgetItem)
+        self.validate()

PPOCRLabel/libs/resources.py

@@ -0,0 +1,11715 @@
+# -*- coding: utf-8 -*-
+
+# Resource object code
+#
+# Created by: The Resource Compiler for PyQt5 (Qt v5.15.2)
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore
+
+qt_resource_data = b"\
+\x00\x00\x08\x19\
+\x89\
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+
+qt_resource_struct_v2 = b"\
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+"
+
+qt_version = [int(v) for v in QtCore.qVersion().split('.')]
+if qt_version < [5, 8, 0]:
+    rcc_version = 1
+    qt_resource_struct = qt_resource_struct_v1
+else:
+    rcc_version = 2
+    qt_resource_struct = qt_resource_struct_v2
+
+def qInitResources():
+    QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
+
+def qCleanupResources():
+    QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
+
+qInitResources()

PPOCRLabel/libs/settings.py

@@ -0,0 +1,60 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+
+import pickle
+import os
+import sys
+
+
+class Settings(object):
+    def __init__(self):
+        # Be default, the home will be in the same folder as labelImg
+        home = os.path.expanduser("~")
+        self.data = {}
+        # self.path = os.path.join(home, '.labelImgSettings.pkl')
+        self.path = os.path.join(home, '.autoOCRSettings.pkl')
+
+    def __setitem__(self, key, value):
+        self.data[key] = value
+
+    def __getitem__(self, key):
+        return self.data[key]
+
+    def get(self, key, default=None):
+        if key in self.data:
+            return self.data[key]
+        return default
+
+    def save(self):
+        if self.path:
+            with open(self.path, 'wb') as f:
+                pickle.dump(self.data, f, pickle.HIGHEST_PROTOCOL)
+                return True
+        return False
+
+    def load(self):
+        try:
+            if os.path.exists(self.path):
+                with open(self.path, 'rb') as f:
+                    self.data = pickle.load(f)
+                    return True
+        except:
+            print('Loading setting failed')
+        return False
+
+    def reset(self):
+        if os.path.exists(self.path):
+            os.remove(self.path)
+            print('Remove setting pkl file ${0}'.format(self.path))
+        self.data = {}
+        self.path = None

PPOCRLabel/libs/shape.py

@@ -0,0 +1,264 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+# !/usr/bin/python
+# -*- coding: utf-8 -*-
+import math
+import sys
+
+from PyQt5.QtCore import QPointF
+from PyQt5.QtGui import QColor, QPen, QPainterPath, QFont
+from libs.utils import distance
+
+DEFAULT_LINE_COLOR = QColor(0, 255, 0, 128)
+DEFAULT_FILL_COLOR = QColor(255, 0, 0, 128)
+DEFAULT_SELECT_LINE_COLOR = QColor(255, 255, 255)
+DEFAULT_SELECT_FILL_COLOR = QColor(0, 128, 255, 155)
+DEFAULT_VERTEX_FILL_COLOR = QColor(0, 255, 0, 255)
+DEFAULT_HVERTEX_FILL_COLOR = QColor(255, 0, 0)
+DEFAULT_LOCK_COLOR = QColor(255, 0, 255)
+MIN_Y_LABEL = 10
+
+
+class Shape(object):
+    P_SQUARE, P_ROUND = range(2)
+
+    MOVE_VERTEX, NEAR_VERTEX = range(2)
+
+    # The following class variables influence the drawing
+    # of _all_ shape objects.
+    line_color = DEFAULT_LINE_COLOR
+    fill_color = DEFAULT_FILL_COLOR
+    select_line_color = DEFAULT_SELECT_LINE_COLOR
+    select_fill_color = DEFAULT_SELECT_FILL_COLOR
+    vertex_fill_color = DEFAULT_VERTEX_FILL_COLOR
+    hvertex_fill_color = DEFAULT_HVERTEX_FILL_COLOR
+    point_type = P_ROUND
+    point_size = 8
+    scale = 1.0
+
+    def __init__(self, label=None, line_color=None, difficult=False, key_cls="None", paintLabel=False, paintIdx=False):
+        self.label = label
+        self.idx = None # bbox order, only for table annotation
+        self.points = []
+        self.fill = False
+        self.selected = False
+        self.difficult = difficult
+        self.key_cls = key_cls
+        self.paintLabel = paintLabel
+        self.paintIdx = paintIdx
+        self.locked = False
+        self.direction = 0
+        self.center = None
+        self.epsilon = 5  # same as canvas
+        self._highlightIndex = None
+        self._highlightMode = self.NEAR_VERTEX
+        self._highlightSettings = {
+            self.NEAR_VERTEX: (4, self.P_ROUND),
+            self.MOVE_VERTEX: (1.5, self.P_SQUARE),
+        }
+        self.fontsize = 8
+
+        self._closed = False
+
+        if line_color is not None:
+            # Override the class line_color attribute
+            # with an object attribute. Currently this
+            # is used for drawing the pending line a different color.
+            self.line_color = line_color
+
+    def rotate(self, theta):
+        for i, p in enumerate(self.points):
+            self.points[i] = self.rotatePoint(p, theta)
+        self.direction -= theta
+        self.direction = self.direction % (2 * math.pi)
+
+    def rotatePoint(self, p, theta):
+        order = p - self.center
+        cosTheta = math.cos(theta)
+        sinTheta = math.sin(theta)
+        pResx = cosTheta * order.x() + sinTheta * order.y()
+        pResy = - sinTheta * order.x() + cosTheta * order.y()
+        pRes = QPointF(self.center.x() + pResx, self.center.y() + pResy)
+        return pRes
+
+    def close(self):
+        self.center = QPointF((self.points[0].x() + self.points[2].x()) / 2,
+                              (self.points[0].y() + self.points[2].y()) / 2)
+        self._closed = True
+
+    def reachMaxPoints(self):
+        if len(self.points) >= 4:
+            return True
+        return False
+
+    def addPoint(self, point):
+        if self.reachMaxPoints() and self.closeEnough(self.points[0], point):
+            self.close()
+        else:
+            self.points.append(point)
+
+    def closeEnough(self, p1, p2):
+        return distance(p1 - p2) < self.epsilon
+
+    def popPoint(self):
+        if self.points:
+            return self.points.pop()
+        return None
+
+    def isClosed(self):
+        return self._closed
+
+    def setOpen(self):
+        self._closed = False
+
+    def paint(self, painter):
+        if self.points:
+            color = self.select_line_color if self.selected else self.line_color
+            pen = QPen(color)
+            # Try using integer sizes for smoother drawing(?)
+            # pen.setWidth(max(1, int(round(2.0 / self.scale))))
+            painter.setPen(pen)
+
+            line_path = QPainterPath()
+            vrtx_path = QPainterPath()
+
+            line_path.moveTo(self.points[0])
+            # Uncommenting the following line will draw 2 paths
+            # for the 1st vertex, and make it non-filled, which
+            # may be desirable.
+            # self.drawVertex(vrtx_path, 0)
+
+            for i, p in enumerate(self.points):
+                line_path.lineTo(p)
+                self.drawVertex(vrtx_path, i)
+            if self.isClosed():
+                line_path.lineTo(self.points[0])
+
+            painter.drawPath(line_path)
+            painter.drawPath(vrtx_path)
+            painter.fillPath(vrtx_path, self.vertex_fill_color)
+
+            # Draw text at the top-left
+            if self.paintLabel:
+                min_x = sys.maxsize
+                min_y = sys.maxsize
+                for point in self.points:
+                    min_x = min(min_x, point.x())
+                    min_y = min(min_y, point.y())
+                if min_x != sys.maxsize and min_y != sys.maxsize:
+                    font = QFont()
+                    font.setPointSize(self.fontsize)
+                    font.setBold(True)
+                    painter.setFont(font)
+                    if self.label is None:
+                        self.label = ""
+                    if min_y < MIN_Y_LABEL:
+                        min_y += MIN_Y_LABEL
+                    painter.drawText(min_x, min_y, self.label)
+
+            # Draw number at the top-right
+            if self.paintIdx:
+                min_x = sys.maxsize
+                min_y = sys.maxsize
+                for point in self.points:
+                    min_x = min(min_x, point.x())
+                    min_y = min(min_y, point.y())
+                if min_x != sys.maxsize and min_y != sys.maxsize:
+                    font = QFont()
+                    font.setPointSize(self.fontsize)
+                    font.setBold(True)
+                    painter.setFont(font)
+                    text = ''
+                    if self.idx != None:
+                        text = str(self.idx)
+                    if min_y < MIN_Y_LABEL:
+                        min_y += MIN_Y_LABEL
+                    painter.drawText(min_x, min_y, text)
+
+            if self.fill:
+                color = self.select_fill_color if self.selected else self.fill_color
+                painter.fillPath(line_path, color)
+
+    def drawVertex(self, path, i):
+        d = self.point_size / self.scale
+        shape = self.point_type
+        point = self.points[i]
+        if i == self._highlightIndex:
+            size, shape = self._highlightSettings[self._highlightMode]
+            d *= size
+        if self._highlightIndex is not None:
+            self.vertex_fill_color = self.hvertex_fill_color
+        else:
+            self.vertex_fill_color = Shape.vertex_fill_color
+        if shape == self.P_SQUARE:
+            path.addRect(point.x() - d / 2, point.y() - d / 2, d, d)
+        elif shape == self.P_ROUND:
+            path.addEllipse(point, d / 2.0, d / 2.0)
+        else:
+            assert False, "unsupported vertex shape"
+
+    def nearestVertex(self, point, epsilon):
+        for i, p in enumerate(self.points):
+            if distance(p - point) <= epsilon:
+                return i
+        return None
+
+    def containsPoint(self, point):
+        return self.makePath().contains(point)
+
+    def makePath(self):
+        path = QPainterPath(self.points[0])
+        for p in self.points[1:]:
+            path.lineTo(p)
+        return path
+
+    def boundingRect(self):
+        return self.makePath().boundingRect()
+
+    def moveBy(self, offset):
+        self.points = [p + offset for p in self.points]
+
+    def moveVertexBy(self, i, offset):
+        self.points[i] = self.points[i] + offset
+
+    def highlightVertex(self, i, action):
+        self._highlightIndex = i
+        self._highlightMode = action
+
+    def highlightClear(self):
+        self._highlightIndex = None
+
+    def copy(self):
+        shape = Shape("%s" % self.label)
+        shape.points = [p for p in self.points]
+        shape.center = self.center
+        shape.direction = self.direction
+        shape.fill = self.fill
+        shape.selected = self.selected
+        shape._closed = self._closed
+        if self.line_color != Shape.line_color:
+            shape.line_color = self.line_color
+        if self.fill_color != Shape.fill_color:
+            shape.fill_color = self.fill_color
+        shape.difficult = self.difficult
+        shape.key_cls = self.key_cls
+        return shape
+
+    def __len__(self):
+        return len(self.points)
+
+    def __getitem__(self, key):
+        return self.points[key]
+
+    def __setitem__(self, key, value):
+        self.points[key] = value

PPOCRLabel/libs/stringBundle.py

@@ -0,0 +1,90 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+import re
+import os
+import sys
+import locale
+from libs.ustr import ustr
+
+__dir__ = os.path.dirname(os.path.abspath(__file__)) # 获取本程序文件路径
+__dirpath__ = os.path.abspath(os.path.join(__dir__, '../resources/strings'))
+
+try:
+    from PyQt5.QtCore import *
+except ImportError:
+    if sys.version_info.major >= 3:
+        import sip
+        sip.setapi('QVariant', 2)
+    from PyQt4.QtCore import *
+
+
+class StringBundle:
+
+    __create_key = object()
+
+    def __init__(self, create_key, localeStr):
+        assert(create_key == StringBundle.__create_key), "StringBundle must be created using StringBundle.getBundle"
+        self.idToMessage = {}
+        paths = self.__createLookupFallbackList(localeStr)
+        for path in paths:
+            self.__loadBundle(path)
+
+    @classmethod
+    def getBundle(cls, localeStr=None):
+        if localeStr is None:
+            try:
+                localeStr = locale.getlocale()[0] if locale.getlocale() and len(
+                    locale.getlocale()) > 0 else os.getenv('LANG')
+            except:
+                print('Invalid locale')
+                localeStr = 'en'
+
+        return StringBundle(cls.__create_key, localeStr)
+
+    def getString(self, stringId):
+        assert(stringId in self.idToMessage), "Missing string id : " + stringId
+        return self.idToMessage[stringId]
+
+    def __createLookupFallbackList(self, localeStr):
+        resultPaths = []
+        basePath = "\strings" if os.name == 'nt' else "/strings"
+        resultPaths.append(basePath)
+        if localeStr is not None:
+            # Don't follow standard BCP47. Simple fallback
+            tags = re.split('[^a-zA-Z]', localeStr)
+            for tag in tags:
+                lastPath = resultPaths[-1]
+                resultPaths.append(lastPath + '-' + tag)
+            resultPaths[-1] = __dirpath__ + resultPaths[-1] + ".properties"
+
+        return resultPaths
+
+    def __loadBundle(self, path):
+        PROP_SEPERATOR = '='
+        f = QFile(path)
+        if f.exists():
+            if f.open(QIODevice.ReadOnly | QFile.Text):
+                text = QTextStream(f)
+                text.setCodec("UTF-8")
+
+            while not text.atEnd():
+                line = ustr(text.readLine())
+                key_value = line.split(PROP_SEPERATOR)
+                key = key_value[0].strip()
+                value = PROP_SEPERATOR.join(key_value[1:]).strip().strip('"')
+                self.idToMessage[key] = value
+
+            f.close()

PPOCRLabel/libs/toolBar.py

@@ -0,0 +1,51 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+try:
+    from PyQt5.QtGui import *
+    from PyQt5.QtCore import *
+    from PyQt5.QtWidgets import *
+except ImportError:
+    from PyQt4.QtGui import *
+    from PyQt4.QtCore import *
+
+
+class ToolBar(QToolBar):
+
+    def __init__(self, title):
+        super(ToolBar, self).__init__(title)
+        layout = self.layout()
+        m = (0, 0, 0, 0)
+        layout.setSpacing(0)
+        layout.setContentsMargins(*m)
+        self.setContentsMargins(*m)
+        self.setWindowFlags(self.windowFlags() | Qt.FramelessWindowHint)
+
+    def addAction(self, action):
+        if isinstance(action, QWidgetAction):
+            return super(ToolBar, self).addAction(action)
+        btn = ToolButton()
+        btn.setDefaultAction(action)
+        btn.setToolButtonStyle(self.toolButtonStyle())
+        self.addWidget(btn)
+
+
+class ToolButton(QToolButton):
+    """ToolBar companion class which ensures all buttons have the same size."""
+    minSize = (60, 60)
+
+    def minimumSizeHint(self):
+        ms = super(ToolButton, self).minimumSizeHint()
+        w1, h1 = ms.width(), ms.height()
+        w2, h2 = self.minSize
+        ToolButton.minSize = max(w1, w2), max(h1, h2)
+        return QSize(*ToolButton.minSize)

PPOCRLabel/libs/unique_label_qlist_widget.py

@@ -0,0 +1,46 @@
+# -*- encoding: utf-8 -*-
+
+from PyQt5.QtCore import Qt, QSize
+from PyQt5 import QtWidgets
+
+
+class EscapableQListWidget(QtWidgets.QListWidget):
+    def keyPressEvent(self, event):
+        super(EscapableQListWidget, self).keyPressEvent(event)
+        if event.key() == Qt.Key_Escape:
+            self.clearSelection()
+
+
+class UniqueLabelQListWidget(EscapableQListWidget):
+    def mousePressEvent(self, event):
+        super(UniqueLabelQListWidget, self).mousePressEvent(event)
+        if not self.indexAt(event.pos()).isValid():
+            self.clearSelection()
+
+    def findItemsByLabel(self, label, get_row=False):
+        items = []
+        for row in range(self.count()):
+            item = self.item(row)
+            if item.data(Qt.UserRole) == label:
+                items.append(item)
+                if get_row:
+                    return row
+        return items
+
+    def createItemFromLabel(self, label):
+        item = QtWidgets.QListWidgetItem()
+        item.setData(Qt.UserRole, label)
+        return item
+
+    def setItemLabel(self, item, label, color=None):
+        qlabel = QtWidgets.QLabel()
+        if color is None:
+            qlabel.setText(f"{label}")
+        else:
+            qlabel.setText('<font color="#{:02x}{:02x}{:02x}">●</font> {} '.format(*color, label))
+        qlabel.setAlignment(Qt.AlignBottom)
+
+        # item.setSizeHint(qlabel.sizeHint())
+        item.setSizeHint(QSize(25, 25))
+
+        self.setItemWidget(item, qlabel)

PPOCRLabel/libs/ustr.py

@@ -0,0 +1,29 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+import sys
+from libs.constants import DEFAULT_ENCODING
+
+def ustr(x):
+    '''py2/py3 unicode helper'''
+
+    if sys.version_info < (3, 0, 0):
+        from PyQt4.QtCore import QString
+        if type(x) == str:
+            return x.decode(DEFAULT_ENCODING)
+        if type(x) == QString:
+            #https://blog.csdn.net/friendan/article/details/51088476
+            #https://blog.csdn.net/xxm524/article/details/74937308
+            return unicode(x.toUtf8(), DEFAULT_ENCODING, 'ignore')
+        return x
+    else:
+        return x

PPOCRLabel/libs/utils.py

@@ -0,0 +1,326 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+import hashlib
+import os
+import re
+import sys
+from math import sqrt
+
+import cv2
+import numpy as np
+from PyQt5.QtCore import QRegExp, QT_VERSION_STR
+from PyQt5.QtGui import QIcon, QRegExpValidator, QColor
+from PyQt5.QtWidgets import QPushButton, QAction, QMenu
+from libs.ustr import ustr
+
+__dir__ = os.path.dirname(os.path.abspath(__file__))  # 获取本程序文件路径
+__iconpath__ = os.path.abspath(os.path.join(__dir__, '../resources/icons'))
+
+
+def newIcon(icon, iconSize=None):
+    if iconSize is not None:
+        return QIcon(QIcon(__iconpath__ + "/" + icon + ".png").pixmap(iconSize, iconSize))
+    else:
+        return QIcon(__iconpath__ + "/" + icon + ".png")
+
+
+def newButton(text, icon=None, slot=None):
+    b = QPushButton(text)
+    if icon is not None:
+        b.setIcon(newIcon(icon))
+    if slot is not None:
+        b.clicked.connect(slot)
+    return b
+
+
+def newAction(parent, text, slot=None, shortcut=None, icon=None,
+              tip=None, checkable=False, enabled=True, iconSize=None):
+    """Create a new action and assign callbacks, shortcuts, etc."""
+    a = QAction(text, parent)
+    if icon is not None:
+        if iconSize is not None:
+            a.setIcon(newIcon(icon, iconSize))
+        else:
+            a.setIcon(newIcon(icon))
+    if shortcut is not None:
+        if isinstance(shortcut, (list, tuple)):
+            a.setShortcuts(shortcut)
+        else:
+            a.setShortcut(shortcut)
+    if tip is not None:
+        a.setToolTip(tip)
+        a.setStatusTip(tip)
+    if slot is not None:
+        a.triggered.connect(slot)
+    if checkable:
+        a.setCheckable(True)
+    a.setEnabled(enabled)
+    return a
+
+
+def addActions(widget, actions):
+    for action in actions:
+        if action is None:
+            widget.addSeparator()
+        elif isinstance(action, QMenu):
+            widget.addMenu(action)
+        else:
+            widget.addAction(action)
+
+
+def labelValidator():
+    return QRegExpValidator(QRegExp(r'^[^ \t].+'), None)
+
+
+class struct(object):
+
+    def __init__(self, **kwargs):
+        self.__dict__.update(kwargs)
+
+
+def distance(p):
+    return sqrt(p.x() * p.x() + p.y() * p.y())
+
+
+def fmtShortcut(text):
+    mod, key = text.split('+', 1)
+    return '<b>%s</b>+<b>%s</b>' % (mod, key)
+
+
+def generateColorByText(text):
+    s = ustr(text)
+    hashCode = int(hashlib.sha256(s.encode('utf-8')).hexdigest(), 16)
+    r = int((hashCode / 255) % 255)
+    g = int((hashCode / 65025) % 255)
+    b = int((hashCode / 16581375) % 255)
+    return QColor(r, g, b, 100)
+
+
+def have_qstring():
+    '''p3/qt5 get rid of QString wrapper as py3 has native unicode str type'''
+    return not (sys.version_info.major >= 3 or QT_VERSION_STR.startswith('5.'))
+
+
+def natural_sort(list, key=lambda s: s):
+    """
+    Sort the list into natural alphanumeric order.
+    """
+
+    def get_alphanum_key_func(key):
+        convert = lambda text: int(text) if text.isdigit() else text
+        return lambda s: [convert(c) for c in re.split('([0-9]+)', key(s))]
+
+    sort_key = get_alphanum_key_func(key)
+    list.sort(key=sort_key)
+
+
+def get_rotate_crop_image(img, points):
+    # Use Green's theory to judge clockwise or counterclockwise
+    # author: biyanhua
+    d = 0.0
+    for index in range(-1, 3):
+        d += -0.5 * (points[index + 1][1] + points[index][1]) * (
+                points[index + 1][0] - points[index][0])
+    if d < 0:  # counterclockwise
+        tmp = np.array(points)
+        points[1], points[3] = tmp[3], tmp[1]
+
+    try:
+        img_crop_width = int(
+            max(
+                np.linalg.norm(points[0] - points[1]),
+                np.linalg.norm(points[2] - points[3])))
+        img_crop_height = int(
+            max(
+                np.linalg.norm(points[0] - points[3]),
+                np.linalg.norm(points[1] - points[2])))
+        pts_std = np.float32([[0, 0], [img_crop_width, 0],
+                              [img_crop_width, img_crop_height],
+                              [0, img_crop_height]])
+        M = cv2.getPerspectiveTransform(points, pts_std)
+        dst_img = cv2.warpPerspective(
+            img,
+            M, (img_crop_width, img_crop_height),
+            borderMode=cv2.BORDER_REPLICATE,
+            flags=cv2.INTER_CUBIC)
+        dst_img_height, dst_img_width = dst_img.shape[0:2]
+        if dst_img_height * 1.0 / dst_img_width >= 1.5:
+            dst_img = np.rot90(dst_img)
+        return dst_img
+    except Exception as e:
+        print(e)
+
+
+def boxPad(box, imgShape, pad : int) -> np.array:
+    """
+    Pad a box with [pad] pixels on each side.
+    """
+    box = np.array(box, dtype=np.int32)
+    box[0][0], box[0][1] = box[0][0] - pad, box[0][1] - pad
+    box[1][0], box[1][1] = box[1][0] + pad, box[1][1] - pad
+    box[2][0], box[2][1] = box[2][0] + pad, box[2][1] + pad
+    box[3][0], box[3][1] = box[3][0] - pad, box[3][1] + pad
+    h, w, _ = imgShape
+    box[:,0] = np.clip(box[:,0], 0, w)
+    box[:,1] = np.clip(box[:,1], 0, h)
+    return box
+
+
+def expand_list(merged, html_list):
+    '''
+    Fill blanks according to merged cells
+    '''
+    sr, er, sc, ec = merged
+    for i in range(sr, er):
+        for j in range(sc, ec):
+            html_list[i][j] = None
+    html_list[sr][sc] = ''
+    if ec - sc > 1:
+        html_list[sr][sc] += " colspan={}".format(ec - sc)
+    if er - sr > 1:
+        html_list[sr][sc] += " rowspan={}".format(er - sr)
+    return html_list
+
+
+def convert_token(html_list):
+    '''
+    Convert raw html to label format
+    '''
+    token_list = ["<tbody>"]
+    # final html list:
+    for row in html_list:
+        token_list.append("<tr>")
+        for col in row:
+            if col == None:
+                continue
+            elif col == 'td':
+                token_list.extend(["<td>", "</td>"])
+            else:
+                token_list.append("<td")
+                if 'colspan' in col:
+                    _, n = col.split('colspan=')
+                    token_list.append(" colspan=\"{}\"".format(n[0]))
+                if 'rowspan' in col:
+                    _, n = col.split('rowspan=')
+                    token_list.append(" rowspan=\"{}\"".format(n[0]))
+                token_list.extend([">", "</td>"])
+        token_list.append("</tr>")
+    token_list.append("</tbody>")
+
+    return token_list
+
+
+def rebuild_html_from_ppstructure_label(label_info):
+        from html import escape
+        html_code = label_info['html']['structure']['tokens'].copy()
+        to_insert = [
+            i for i, tag in enumerate(html_code) if tag in ('<td>', '>')
+        ]
+        for i, cell in zip(to_insert[::-1], label_info['html']['cells'][::-1]):
+            if cell['tokens']:
+                cell = [
+                    escape(token) if len(token) == 1 else token
+                    for token in cell['tokens']
+                ]
+                cell = ''.join(cell)
+                html_code.insert(i + 1, cell)
+        html_code = ''.join(html_code)
+        html_code = '<html><body><table>{}</table></body></html>'.format(
+            html_code)
+        return html_code
+
+
+def stepsInfo(lang='en'):
+    if lang == 'ch':
+        msg = "1. 安装与运行：使用上述命令安装与运行程序。\n" \
+              "2. 打开文件夹：在菜单栏点击 “文件” - 打开目录 选择待标记图片的文件夹.\n" \
+              "3. 自动标注：点击 ”自动标注“，使用PPOCR超轻量模型对图片文件名前图片状态为 “X” 的图片进行自动标注。\n" \
+              "4. 手动标注：点击 “矩形标注”（推荐直接在英文模式下点击键盘中的 “W”)，用户可对当前图片中模型未检出的部分进行手动" \
+              "绘制标记框。点击键盘P，则使用四点标注模式（或点击“编辑” - “四点标注”），用户依次点击4个点后，双击左键表示标注完成。\n" \
+              "5. 标记框绘制完成后，用户点击 “确认”，检测框会先被预分配一个 “待识别” 标签。\n" \
+              "6. 重新识别：将图片中的所有检测画绘制/调整完成后，点击 “重新识别”，PPOCR模型会对当前图片中的**所有检测框**重新识别。\n" \
+              "7. 内容更改：双击识别结果，对不准确的识别结果进行手动更改。\n" \
+              "8. 保存：点击 “保存”，图片状态切换为 “√”，跳转至下一张。\n" \
+              "9. 删除：点击 “删除图像”，图片将会被删除至回收站。\n" \
+              "10. 标注结果：关闭应用程序或切换文件路径后，手动保存过的标签将会被存放在所打开图片文件夹下的" \
+              "*Label.txt*中。在菜单栏点击 “PaddleOCR” - 保存识别结果后，会将此类图片的识别训练数据保存在*crop_img*文件夹下，" \
+              "识别标签保存在*rec_gt.txt*中。\n"
+
+    else:
+        msg = "1. Build and launch using the instructions above.\n" \
+              "2. Click 'Open Dir' in Menu/File to select the folder of the picture.\n" \
+              "3. Click 'Auto recognition', use PPOCR model to automatically annotate images which marked with 'X' before the file name." \
+              "4. Create Box:\n" \
+              "4.1 Click 'Create RectBox' or press 'W' in English keyboard mode to draw a new rectangle detection box. Click and release left mouse to select a region to annotate the text area.\n" \
+              "4.2 Press 'P' to enter four-point labeling mode which enables you to create any four-point shape by clicking four points with the left mouse button in succession and DOUBLE CLICK the left mouse as the signal of labeling completion.\n" \
+              "5. After the marking frame is drawn, the user clicks 'OK', and the detection frame will be pre-assigned a TEMPORARY label.\n" \
+              "6. Click re-Recognition, model will rewrite ALL recognition results in ALL detection box.\n" \
+              "7. Double click the result in 'recognition result' list to manually change inaccurate recognition results.\n" \
+              "8. Click 'Save', the image status will switch to '√',then the program automatically jump to the next.\n" \
+              "9. Click 'Delete Image' and the image will be deleted to the recycle bin.\n" \
+              "10. Labeling result: After closing the application or switching the file path, the manually saved label will be stored in *Label.txt* under the opened picture folder.\n" \
+              "    Click PaddleOCR-Save Recognition Results in the menu bar, the recognition training data of such pictures will be saved in the *crop_img* folder, and the recognition label will be saved in *rec_gt.txt*.\n"
+
+    return msg
+
+
+def keysInfo(lang='en'):
+    if lang == 'ch':
+        msg = "快捷键\t\t\t说明\n" \
+              "———————————————————————\n" \
+              "Ctrl + shift + R\t\t对当前图片的所有标记重新识别\n" \
+              "W\t\t\t新建矩形框\n" \
+              "Q\t\t\t新建四点框\n" \
+              "Ctrl + E\t\t编辑所选框标签\n" \
+              "Ctrl + R\t\t重新识别所选标记\n" \
+              "Ctrl + C\t\t复制并粘贴选中的标记框\n" \
+              "Ctrl + 鼠标左键\t\t多选标记框\n" \
+              "Backspace\t\t删除所选框\n" \
+              "Ctrl + V\t\t确认本张图片标记\n" \
+              "Ctrl + Shift + d\t删除本张图片\n" \
+              "D\t\t\t下一张图片\n" \
+              "A\t\t\t上一张图片\n" \
+              "Ctrl++\t\t\t缩小\n" \
+              "Ctrl--\t\t\t放大\n" \
+              "↑→↓←\t\t\t移动标记框\n" \
+              "———————————————————————\n" \
+              "注：Mac用户Command键替换上述Ctrl键"
+
+    else:
+        msg = "Shortcut Keys\t\tDescription\n" \
+              "———————————————————————\n" \
+              "Ctrl + shift + R\t\tRe-recognize all the labels\n" \
+              "\t\t\tof the current image\n" \
+              "\n" \
+              "W\t\t\tCreate a rect box\n" \
+              "Q\t\t\tCreate a four-points box\n" \
+              "Ctrl + E\t\tEdit label of the selected box\n" \
+              "Ctrl + R\t\tRe-recognize the selected box\n" \
+              "Ctrl + C\t\tCopy and paste the selected\n" \
+              "\t\t\tbox\n" \
+              "\n" \
+              "Ctrl + Left Mouse\tMulti select the label\n" \
+              "Button\t\t\tbox\n" \
+              "\n" \
+              "Backspace\t\tDelete the selected box\n" \
+              "Ctrl + V\t\tCheck image\n" \
+              "Ctrl + Shift + d\tDelete image\n" \
+              "D\t\t\tNext image\n" \
+              "A\t\t\tPrevious image\n" \
+              "Ctrl++\t\t\tZoom in\n" \
+              "Ctrl--\t\t\tZoom out\n" \
+              "↑→↓←\t\t\tMove selected box" \
+              "———————————————————————\n" \
+              "Notice:For Mac users, use the 'Command' key instead of the 'Ctrl' key"
+
+    return msg

PPOCRLabel/libs/zoomWidget.py

@@ -0,0 +1,38 @@
+# Copyright (c) <2015-Present> Tzutalin
+# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
+# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
+# associated documentation files (the "Software"), to deal in the Software without restriction, including without
+# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
+# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
+# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
+# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+try:
+    from PyQt5.QtGui import *
+    from PyQt5.QtCore import *
+    from PyQt5.QtWidgets import *
+except ImportError:
+    from PyQt4.QtGui import *
+    from PyQt4.QtCore import *
+
+
+class ZoomWidget(QSpinBox):
+
+    def __init__(self, value=100):
+        super(ZoomWidget, self).__init__()
+        self.setButtonSymbols(QAbstractSpinBox.NoButtons)
+        self.setRange(1, 500)
+        self.setSuffix(' %')
+        self.setValue(value)
+        self.setToolTip(u'Zoom Level')
+        self.setStatusTip(self.toolTip())
+        self.setAlignment(Qt.AlignCenter)
+
+    def minimumSizeHint(self):
+        height = super(ZoomWidget, self).minimumSizeHint().height()
+        fm = QFontMetrics(self.font())
+        width = fm.width(str(self.maximum()))
+        return QSize(width, height)

PPOCRLabel/requirements.txt

@@ -0,0 +1,3 @@
+pyqt5
+paddleocr
+xlrd==1.2.0

PPOCRLabel/resources.qrc

@@ -0,0 +1,41 @@
+<!DOCTYPE RCC><RCC version="1.0">
+<qresource>
+
+<file alias="help">resources/icons/help.png</file>
+<file alias="app">resources/icons/app.png</file>
+<file alias="Auto">resources/icons/Auto.png</file>
+<file alias="reRec">resources/icons/reRec.png</file>
+<file alias="expert">resources/icons/expert2.png</file>
+<file alias="done">resources/icons/done.png</file>
+<file alias="file">resources/icons/file.png</file>
+<file alias="labels">resources/icons/labels.png</file>
+<file alias="new">resources/icons/objects.png</file>
+<file alias="close">resources/icons/close.png</file>
+<file alias="fit-width">resources/icons/fit-width.png</file>
+<file alias="fit-window">resources/icons/fit-window.png</file>
+<file alias="undo">resources/icons/undo.png</file>
+<file alias="hide">resources/icons/eye.png</file>
+<file alias="quit">resources/icons/quit.png</file>
+<file alias="copy">resources/icons/copy.png</file>
+<file alias="edit">resources/icons/edit.png</file>
+<file alias="rotateLeft">resources/icons/rotateLeft.png</file>
+<file alias="rotateRight">resources/icons/rotateRight.png</file>
+<file alias="open">resources/icons/open.png</file>
+<file alias="save">resources/icons/save.png</file>
+<file alias="format_voc">resources/icons/format_voc.png</file>
+<file alias="format_yolo">resources/icons/format_yolo.png</file>
+<file alias="save-as">resources/icons/save-as.png</file>
+<file alias="color">resources/icons/color.png</file>
+<file alias="color_line">resources/icons/color_line.png</file>
+<file alias="zoom">resources/icons/zoom.png</file>
+<file alias="zoom-in">resources/icons/zoom-in.png</file>
+<file alias="zoom-out">resources/icons/zoom-out.png</file>
+<file alias="delete">resources/icons/cancel.png</file>
+<file alias="next">resources/icons/next.png</file>
+<file alias="prev">resources/icons/prev.png</file>
+<file alias="resetall">resources/icons/resetall.png</file>
+<file alias="verify">resources/icons/verify.png</file>
+<file alias="strings">resources/strings/strings-en.properties</file>
+<file alias="strings-zh-CN">resources/strings/strings-zh-CN.properties</file>
+</qresource>
+</RCC>

PPOCRLabel/resources/icons/app.svg

@@ -0,0 +1,27 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="200px" height="200px" viewBox="0 0 200 200" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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+    </defs>
+    <g id="APPicon备份-3" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="编组-3备份-2" fill="url(#linearGradient-1)">
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+        </g>
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+    </g>
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+      <a:midPointStop
+         offset="1"
+         style="stop-color:#FFFFFF"
+         id="midPointStop666" />
+    </linearGradient>
+    <path
+       style="fill:url(#XMLID_5_);"
+       d="M13.244,27.583v13.104h17.249V27.583H13.244z M19.413,37.209h-3.884v-7.074h3.884V37.209z"
+       id="path667" />
+    <linearGradient
+       id="path228_1_"
+       gradientUnits="userSpaceOnUse"
+       x1="-68.1494"
+       y1="388.4561"
+       x2="-68.1494"
+       y2="404.6693"
+       gradientTransform="matrix(0.1875 0 0 -0.1875 51.5 83.75)">
+      <stop
+         offset="0"
+         style="stop-color:#3399FF"
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+         offset="1"
+         style="stop-color:#000000"
+         id="stop670" />
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+         offset="0"
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+         offset="0.5"
+         style="stop-color:#3399FF"
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+         offset="1"
+         style="stop-color:#000000"
+         id="midPointStop673" />
+    </linearGradient>
+    <rect
+       id="path228"
+       x="37.83"
+       y="9.031"
+       style="fill:url(#path228_1_);"
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+       height="1.785" />
+    <polyline
+       id="_x3C_Slice_x3E_"
+       style="fill:none;"
+       points="0,48 0,0 48,0 48,48 " />
+  </g>
+</svg>

PPOCRLabel/resources/strings/strings-en.properties

@@ -0,0 +1,116 @@
+openFile=Open
+openFileDetail=Open image or label file
+quit=Quit
+quitApp=Quit application
+openDir=Open Dir
+openDatasetDir=Open DatasetDir
+copyPrevBounding=Copy previous Bounding Boxes in the current image 
+changeSavedAnnotationDir=Change default saved Annotation dir
+openAnnotation=Open Annotation
+openAnnotationDetail=Open an annotation file
+changeSaveDir=Change Save Dir
+nextImg=Next Image
+nextImgDetail=Open the next Image
+prevImg=Prev Image
+prevImgDetail=Open the previous Image
+verifyImg=Verify Image
+verifyImgDetail=Verify Image
+save=Check
+saveDetail=Save the labels to a file
+changeSaveFormat=Change save format
+saveAs=Save As
+saveAsDetail=Save the labels to a different file
+closeCur=Close
+closeCurDetail=Close the current file
+deleteImg=Delete current image
+deleteImgDetail=Delete the current image
+resetAll=Reset Interface and Save Dir
+resetAllDetail=Reset All
+boxLineColor=Box Line Color
+boxLineColorDetail=Choose Box line color
+crtBox=Create RectBox
+crtBoxDetail=Draw a new box
+delBox=Delete RectBox
+delBoxDetail=Remove the box
+dupBox=Duplicate RectBox
+dupBoxDetail=Create a duplicate of the selected box
+tutorial=PaddleOCR url
+tutorialDetail=Show demo
+info=Information
+zoomin=Zoom In
+zoominDetail=Increase zoom level
+zoomout=Zoom Out
+zoomoutDetail=Decrease zoom level
+originalsize=Original size
+originalsizeDetail=Zoom to original size
+fitWin=Fit Window
+fitWinDetail=Zoom follows window size
+fitWidth=Fit Width
+fitWidthDetail=Zoom follows window width
+editLabel=Edit Label
+editLabelDetail=Modify the label of the selected Box
+shapeLineColor=Shape Line Color
+shapeLineColorDetail=Change the line color for this specific shape
+shapeFillColor=Shape Fill Color
+shapeFillColorDetail=Change the fill color for this specific shape
+showHide=Show/Hide Label Panel
+useDefaultLabel=Use default label
+useDifficult=Difficult
+boxLabelText=Box Labels
+labels=Labels
+autoSaveMode=Auto Save mode
+singleClsMode=Single Class Mode
+displayLabel=Display Labels
+displayIndex=Display box index
+fileList=File List
+files=Files
+advancedMode=Advanced Mode
+advancedModeDetail=Swtich to advanced mode
+showAllBoxDetail=Show all bounding boxes
+hideAllBoxDetail=Hide all bounding boxes
+annoPanel=anno Panel
+anno=anno
+addNewBbox=new bbox
+reLabel=reLabel
+choosemodel=Choose OCR model
+tipchoosemodel=Choose OCR model from dir
+ImageResize=Image Resize
+IR=Image Resize
+autoRecognition=Auto Recognition
+reRecognition=Re-recognition
+mfile=File
+medit=Edit
+mview=View
+mhelp=Help
+iconList=Icon List
+detectionBoxposition=Detection box position
+recognitionResult=Recognition result
+creatPolygon=Create PolygonBox
+rotateLeft=Left turn 90 degrees
+rotateRight=Right turn 90 degrees
+drawSquares=Draw Squares
+saveRec=Export Recognition Result
+tempLabel=TEMPORARY
+nullLabel=NULL
+steps=Steps
+keys=Shortcut Keys
+choseModelLg=Choose Model Language
+cancel=Cancel
+ok=OK
+autolabeling=Automatic Labeling
+hideBox=Hide All Box
+showBox=Show All Box
+saveLabel=Export Label
+singleRe=Re-recognition RectBox
+labelDialogOption=Pop-up Label Input Dialog
+undo=Undo
+undoLastPoint=Undo Last Point
+autoSaveMode=Auto Export Label Mode
+lockBox=Lock selected box/Unlock all box
+lockBoxDetail=Lock selected box/Unlock all box
+keyListTitle=Key List
+keyDialogTip=Enter object label
+keyChange=Change Box Key
+TableRecognition=Table Recognition
+cellreRecognition=Cell Re-Recognition
+exportJSON=Export Table Label

PPOCRLabel/resources/strings/strings-zh-CN.properties

@@ -0,0 +1,116 @@
+saveAsDetail=將标签保存到其他文件
+changeSaveDir=改变存放目录
+openFile=打开文件
+shapeLineColorDetail=更改线条颜色
+resetAll=重置界面与保存地址
+crtBox=矩形标注
+crtBoxDetail=创建一个新的区块
+dupBoxDetail=复制区块
+verifyImg=验证图像
+zoominDetail=放大
+verifyImgDetail=验证图像
+saveDetail=保存标签文件
+openFileDetail=打开图像文件
+fitWidthDetail=调整宽度适应到窗口宽度
+tutorial=PaddleOCR地址
+editLabel=编辑标签
+openAnnotationDetail=打开标签文件
+quit=退出
+shapeFillColorDetail=更改填充颜色
+closeCurDetail=关闭当前文件
+closeCur=关闭文件
+deleteImg=删除图像
+deleteImgDetail=删除当前图像
+fitWin=调整到窗口大小
+delBox=删除选择的区块
+boxLineColorDetail=选择线框颜色
+originalsize=原始大小
+resetAllDetail=重置所有设定
+zoomoutDetail=放大画面
+save=确认
+saveAs=另存为
+fitWinDetail=缩放到当前窗口大小
+openDir=打开目录
+openDatasetDir=打开数据集路径
+copyPrevBounding=复制当前图像中的上一个边界框
+showHide=显示/隐藏标签
+changeSaveFormat=更改存储格式
+shapeFillColor=填充颜色
+quitApp=退出程序
+dupBox=复制区块
+delBoxDetail=删除区块
+zoomin=放大画面
+info=信息
+openAnnotation=开启标签
+prevImgDetail=上一个图像
+fitWidth=缩放到当前画面宽度
+zoomout=缩小画面
+changeSavedAnnotationDir=更改保存标签文件的预设目录
+nextImgDetail=下一个图像
+originalsizeDetail=放大到原始大小
+prevImg=上一张
+tutorialDetail=显示示范内容
+shapeLineColor=形状线条颜色
+boxLineColor=区块线条颜色
+editLabelDetail=修改当前所选的区块颜色
+nextImg=下一张
+useDefaultLabel=使用预设标签
+useDifficult=有难度的
+boxLabelText=区块的标签
+labels=标签
+autoSaveMode=自动保存模式
+singleClsMode=单一类别模式
+displayLabel=显示类别
+displayIndex=显示box序号
+fileList=文件列表
+files=文件
+advancedMode=专家模式
+advancedModeDetail=切换到专家模式
+showAllBoxDetail=显示所有区块
+hideAllBoxDetail=隐藏所有区块
+annoPanel=标注面板
+anno=标注
+addNewBbox=新框
+reLabel=重标注
+choosemodel=选择模型
+tipchoosemodel=选择OCR模型
+ImageResize=图片缩放
+IR=图片缩放
+autoRecognition=自动标注
+reRecognition=重新识别
+mfile=文件
+medit=编辑
+mview=视图
+mhelp=帮助
+iconList=缩略图
+detectionBoxposition=检测框位置
+recognitionResult=识别结果
+creatPolygon=多点标注
+drawSquares=正方形标注
+rotateLeft=图片左旋转90度
+rotateRight=图片右旋转90度
+saveRec=导出识别结果
+tempLabel=待识别
+nullLabel=无法识别
+steps=操作步骤
+keys=快捷键
+choseModelLg=选择模型语言
+cancel=取消
+ok=确认
+autolabeling=自动标注中
+hideBox=隐藏所有标注
+showBox=显示所有标注
+saveLabel=导出标记结果
+singleRe=重识别此区块
+labelDialogOption=弹出标记输入框
+undo=撤销
+undoLastPoint=撤销上个点
+autoSaveMode=自动导出标记结果
+lockBox=锁定框/解除锁定框
+lockBoxDetail=若当前没有框处于锁定状态则锁定选中的框，若存在锁定框则解除所有锁定框的锁定状态
+keyListTitle=关键词列表
+keyDialogTip=请输入类型名称
+keyChange=更改Box关键字类别
+TableRecognition=表格识别
+cellreRecognition=单元格重识别
+exportJSON=导出表格标注

PPOCRLabel/setup.cfg

@@ -0,0 +1,8 @@
+[bumpversion]
+commit = True
+tag = True
+
+[bumpversion:file:setup.py]
+
+[bdist_wheel]
+universal = 1

PPOCRLabel/setup.py

@@ -0,0 +1,52 @@
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from setuptools import setup
+from io import open
+
+with open('requirements.txt', encoding="utf-8-sig") as f:
+    requirements = f.readlines()
+    requirements.append('tqdm')
+
+
+def readme():
+    with open('README.md', encoding="utf-8-sig") as f:
+        README = f.read()
+    return README
+
+
+setup(
+    name='PPOCRLabel',
+    packages=['PPOCRLabel'],
+    package_data = {'PPOCRLabel': ['libs/*','resources/strings/*','resources/icons/*']},
+    package_dir={'PPOCRLabel': ''},
+    include_package_data=True,
+    entry_points={"console_scripts": ["PPOCRLabel= PPOCRLabel.PPOCRLabel:main"]},
+    version='2.1.3',
+    install_requires=requirements,
+    license='Apache License 2.0',
+    description='PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.',
+    long_description=readme(),
+    long_description_content_type='text/markdown',
+    url='https://github.com/PaddlePaddle/PaddleOCR',
+    download_url='https://github.com/PaddlePaddle/PaddleOCR.git',
+    keywords=[
+        'ocr textdetection textrecognition paddleocr crnn east star-net rosetta ocrlite db chineseocr chinesetextdetection chinesetextrecognition'
+    ],
+    classifiers=[
+        'Intended Audience :: Developers', 'Operating System :: OS Independent',
+        'Natural Language :: English',
+        'Programming Language :: Python :: 3.6',
+        'Programming Language :: Python :: 3.7', 'Topic :: Utilities'
+    ], )

README.md

@@ -0,0 +1,243 @@
+English | [简体中文](README_ch.md) | [हिन्दी](./doc/doc_i18n/README_हिन्द.md) | [日本語](./doc/doc_i18n/README_日本語.md) | [한국인](./doc/doc_i18n/README_한국어.md) | [Pу́сский язы́к](./doc/doc_i18n/README_Ру́сский_язы́к.md)
+
+<p align="center">
+ <img src="./doc/PaddleOCR_log.png" align="middle" width = "600"/>
+<p align="center">
+<p align="left">
+    <a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
+    <a href="https://github.com/PaddlePaddle/PaddleOCR/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleOCR?color=ffa"></a>
+    <a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a>
+    <a href=""><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
+    <a href=""><img src="https://img.shields.io/pypi/format/PaddleOCR?color=c77"></a>
+    <a href="https://pypi.org/project/PaddleOCR/"><img src="https://img.shields.io/pypi/dm/PaddleOCR?color=9cf"></a>
+    <a href="https://github.com/PaddlePaddle/PaddleOCR/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleOCR?color=ccf"></a>
+</p>
+
+## Introduction
+
+PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and apply them into practice.
+
+<div align="center">
+    <img src="./doc/imgs_results/PP-OCRv3/en/en_4.png" width="800">
+</div>
+
+<div align="center">
+    <img src="./doc/imgs_results/ch_ppocr_mobile_v2.0/00006737.jpg" width="800">
+</div>
+
+## 📣 Recent updates
+- 🔨**2022.11 Add implementation of [4 cutting-edge algorithms](doc/doc_en/algorithm_overview_en.md)**：Text Detection [DRRG](doc/doc_en/algorithm_det_drrg_en.md),  Text Recognition [RFL](./doc/doc_en/algorithm_rec_rfl_en.md), Image Super-Resolution [Text Telescope](doc/doc_en/algorithm_sr_telescope_en.md)，Handwritten Mathematical Expression Recognition [CAN](doc/doc_en/algorithm_rec_can_en.md)
+- **2022.10 Release [optimized JS version PP-OCRv3 model](./deploy/paddlejs/README.md)** with 4.3M model size, 8x faster inference time, and a ready-to-use web demo
+
+- 💥 **Live Playback: Introduction to PP-StructureV2 optimization strategy**. Scan [the QR code below](#Community) using WeChat, follow the PaddlePaddle official account and fill out the questionnaire to join the WeChat group, get the live link and 20G OCR learning materials (including PDF2Word application, 10 models in vertical scenarios, etc.)
+
+
+- **🔥2022.8.24 Release PaddleOCR [release/2.6](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.6)**
+  - Release [PP-StructureV2](./ppstructure/)，with functions and performance fully upgraded, adapted to Chinese scenes, and new support for [Layout Recovery](./ppstructure/recovery) and **one line command to convert PDF to Word**;
+  - [Layout Analysis](./ppstructure/layout) optimization: model storage reduced by 95%, while speed increased by 11 times, and the average CPU time-cost is only 41ms;
+  - [Table Recognition](./ppstructure/table) optimization: 3 optimization strategies are designed, and the model accuracy is improved by 6% under comparable time consumption;
+  - [Key Information Extraction](./ppstructure/kie) optimization：a visual-independent model structure is designed, the accuracy of semantic entity recognition is increased by 2.8%, and the accuracy of relation extraction is increased by 9.1%.
+- **🔥2022.8 Release [OCR scene application collection](./applications/README_en.md)**
+    - Release **9 vertical models** such as digital tube, LCD screen, license plate, handwriting recognition model, high-precision SVTR model, etc, covering the main OCR vertical applications in general, manufacturing, finance, and transportation industries.
+- **2022.8 Add implementation of [8 cutting-edge algorithms](doc/doc_en/algorithm_overview_en.md)**
+  - Text Detection: [FCENet](doc/doc_en/algorithm_det_fcenet_en.md), [DB++](doc/doc_en/algorithm_det_db_en.md)
+  - Text Recognition: [ViTSTR](doc/doc_en/algorithm_rec_vitstr_en.md), [ABINet](doc/doc_en/algorithm_rec_abinet_en.md), [VisionLAN](doc/doc_en/algorithm_rec_visionlan_en.md), [SPIN](doc/doc_en/algorithm_rec_spin_en.md), [RobustScanner](doc/doc_en/algorithm_rec_robustscanner_en.md)
+  - Table Recognition: [TableMaster](doc/doc_en/algorithm_table_master_en.md)
+- **2022.5.9 Release PaddleOCR [release/2.5](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.5)**
+    - Release [PP-OCRv3](./doc/doc_en/ppocr_introduction_en.md#pp-ocrv3): With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.
+    - Release [PPOCRLabelv2](./PPOCRLabel): Add the annotation function for table recognition task, key information extraction task and irregular text image.
+    - Release interactive e-book [*"Dive into OCR"*](./doc/doc_en/ocr_book_en.md), covers the cutting-edge theory and code practice of OCR full stack technology.
+- [more](./doc/doc_en/update_en.md)
+
+
+## 🌟 Features
+
+PaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solution [PP-OCR](./doc/doc_en/ppocr_introduction_en.md) and [PP-Structure](./ppstructure/README.md) on this basis, and get through the whole process of data production, model training, compression, inference and deployment.
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/25809855/186171245-40abc4d7-904f-4949-ade1-250f86ed3a90.png">
+</div>
+
+> It is recommended to start with the “quick experience” in the document tutorial
+
+
+## ⚡ Quick Experience
+
+- Web online experience for the ultra-lightweight OCR: [Online Experience](https://www.paddlepaddle.org.cn/hub/scene/ocr)
+- Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Android systems): [Sign in to the website to obtain the QR code for  installing the App](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)
+- One line of code quick use: [Quick Start](./doc/doc_en/quickstart_en.md)
+
+
+<a name="book"></a>
+## 📚 E-book: *Dive Into OCR*
+- [Dive Into OCR ](./doc/doc_en/ocr_book_en.md)
+
+<a name="Community"></a>
+
+## 👫 Community
+
+- For international developers, we regard [PaddleOCR Discussions](https://github.com/PaddlePaddle/PaddleOCR/discussions) as our international community platform. All ideas and questions can be discussed here in English.
+
+- For Chinese develops, Scan the QR code below with your Wechat, you can join the official technical discussion group. For richer community content, please refer to [中文README](README_ch.md), looking forward to your participation.
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/joinus.PNG"  width = "150" height = "150" />
+</div>
+
+<a name="Supported-Chinese-model-list"></a>
+
+## 🛠️ PP-OCR Series Model List（Update on September 8th）
+
+| Model introduction                                           | Model name                   | Recommended scene | Detection model                                              | Direction classifier                                         | Recognition model                                            |
+| ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
+| Chinese and English ultra-lightweight PP-OCRv3 model（16.2M）     | ch_PP-OCRv3_xx          | Mobile & Server | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) |
+| English ultra-lightweight PP-OCRv3 model（13.4M）     | en_PP-OCRv3_xx          | Mobile & Server | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) |
+| Chinese and English ultra-lightweight PP-OCRv2 model（11.6M） |  ch_PP-OCRv2_xx |Mobile & Server|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar)| [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar)|
+| Chinese and English ultra-lightweight PP-OCR model (9.4M)       | ch_ppocr_mobile_v2.0_xx      | Mobile & server   |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar)      |
+| Chinese and English general PP-OCR model (143.4M)               | ch_ppocr_server_v2.0_xx      | Server            |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)    |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar)    |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar)  |
+
+
+- For more model downloads (including multiple languages), please refer to [PP-OCR series model downloads](./doc/doc_en/models_list_en.md).
+- For a new language request, please refer to [Guideline for new language_requests](#language_requests).
+- For structural document analysis models, please refer to [PP-Structure models](./ppstructure/docs/models_list_en.md).
+
+## 📖 Tutorials
+- [Environment Preparation](./doc/doc_en/environment_en.md)
+- [PP-OCR 🔥](./doc/doc_en/ppocr_introduction_en.md)
+    - [Quick Start](./doc/doc_en/quickstart_en.md)
+    - [Model Zoo](./doc/doc_en/models_en.md)
+    - [Model training](./doc/doc_en/training_en.md)
+        - [Text Detection](./doc/doc_en/detection_en.md)
+        - [Text Recognition](./doc/doc_en/recognition_en.md)
+        - [Text Direction Classification](./doc/doc_en/angle_class_en.md)
+    - Model Compression
+        - [Model Quantization](./deploy/slim/quantization/README_en.md)
+        - [Model Pruning](./deploy/slim/prune/README_en.md)
+        - [Knowledge Distillation](./doc/doc_en/knowledge_distillation_en.md)
+    - [Inference and Deployment](./deploy/README.md)
+        - [Python Inference](./doc/doc_en/inference_ppocr_en.md)
+        - [C++ Inference](./deploy/cpp_infer/readme.md)
+        - [Serving](./deploy/pdserving/README.md)
+        - [Mobile](./deploy/lite/readme.md)
+        - [Paddle2ONNX](./deploy/paddle2onnx/readme.md)
+        - [PaddleCloud](./deploy/paddlecloud/README.md)
+        - [Benchmark](./doc/doc_en/benchmark_en.md)  
+- [PP-Structure 🔥](./ppstructure/README.md)
+    - [Quick Start](./ppstructure/docs/quickstart_en.md)
+    - [Model Zoo](./ppstructure/docs/models_list_en.md)
+    - [Model training](./doc/doc_en/training_en.md)  
+        - [Layout Analysis](./ppstructure/layout/README.md)
+        - [Table Recognition](./ppstructure/table/README.md)
+        - [Key Information Extraction](./ppstructure/kie/README.md)
+    - [Inference and Deployment](./deploy/README.md)
+        - [Python Inference](./ppstructure/docs/inference_en.md)
+        - [C++ Inference](./deploy/cpp_infer/readme.md)
+        - [Serving](./deploy/hubserving/readme_en.md)
+- [Academic Algorithms](./doc/doc_en/algorithm_overview_en.md)
+    - [Text detection](./doc/doc_en/algorithm_overview_en.md)
+    - [Text recognition](./doc/doc_en/algorithm_overview_en.md)
+    - [End-to-end OCR](./doc/doc_en/algorithm_overview_en.md)
+    - [Table Recognition](./doc/doc_en/algorithm_overview_en.md)
+    - [Key Information Extraction](./doc/doc_en/algorithm_overview_en.md)  
+    - [Add New Algorithms to PaddleOCR](./doc/doc_en/add_new_algorithm_en.md)
+- Data Annotation and Synthesis
+    - [Semi-automatic Annotation Tool: PPOCRLabel](./PPOCRLabel/README.md)
+    - [Data Synthesis Tool: Style-Text](./StyleText/README.md)
+    - [Other Data Annotation Tools](./doc/doc_en/data_annotation_en.md)
+    - [Other Data Synthesis Tools](./doc/doc_en/data_synthesis_en.md)
+- Datasets
+    - [General OCR Datasets(Chinese/English)](doc/doc_en/dataset/datasets_en.md)
+    - [HandWritten_OCR_Datasets(Chinese)](doc/doc_en/dataset/handwritten_datasets_en.md)
+    - [Various OCR Datasets(multilingual)](doc/doc_en/dataset/vertical_and_multilingual_datasets_en.md)
+    - [Layout Analysis](doc/doc_en/dataset/layout_datasets_en.md)
+    - [Table Recognition](doc/doc_en/dataset/table_datasets_en.md)
+    - [Key Information Extraction](doc/doc_en/dataset/kie_datasets_en.md)
+- [Code Structure](./doc/doc_en/tree_en.md)
+- [Visualization](#Visualization)
+- [Community](#Community)
+- [New language requests](#language_requests)
+- [FAQ](./doc/doc_en/FAQ_en.md)
+- [References](./doc/doc_en/reference_en.md)
+- [License](#LICENSE)
+
+
+<a name="Visualization"></a>
+## 👀 Visualization [more](./doc/doc_en/visualization_en.md)
+
+<details open>
+<summary>PP-OCRv3 Chinese model</summary>
+<div align="center">
+    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic001.jpg" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic002.jpg" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic003.jpg" width="800">
+</div>
+</details>
+
+<details open>
+<summary>PP-OCRv3 English model</summary>
+<div align="center">
+    <img src="doc/imgs_results/PP-OCRv3/en/en_1.png" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/en/en_2.png" width="800">
+</div>
+</details>
+
+<details open>
+<summary>PP-OCRv3 Multilingual model</summary>
+<div align="center">
+    <img src="doc/imgs_results/PP-OCRv3/multi_lang/japan_2.jpg" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/multi_lang/korean_1.jpg" width="800">
+</div>
+</details>
+
+<details open>
+<summary>PP-StructureV2</summary>
+
+- layout analysis + table recognition  
+<div align="center">
+    <img src="./ppstructure/docs/table/ppstructure.GIF" width="800">
+</div>
+
+- SER (Semantic entity recognition)
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/197464552-69de557f-edff-4c7f-acbf-069df1ba097f.png" width="600">
+</div>
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185310636-6ce02f7c-790d-479f-b163-ea97a5a04808.jpg" width="600">
+</div>
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185539517-ccf2372a-f026-4a7c-ad28-c741c770f60a.png" width="600">
+</div>
+
+- RE (Relation Extraction)
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/25809855/186094813-3a8e16cc-42e5-4982-b9f4-0134dfb5688d.png" width="600">
+</div>  
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185393805-c67ff571-cf7e-4217-a4b0-8b396c4f22bb.jpg" width="600">
+</div>
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185540080-0431e006-9235-4b6d-b63d-0b3c6e1de48f.jpg" width="600">
+</div>
+
+</details>
+
+<a name="language_requests"></a>
+## 🇺🇳 Guideline for New Language Requests
+
+If you want to request a new language support, a PR with 1 following files are needed：
+
+1. In folder [ppocr/utils/dict](./ppocr/utils/dict),
+it is necessary to submit the dict text to this path and name it with `{language}_dict.txt` that contains a list of all characters. Please see the format example from other files in that folder.
+
+If your language has unique elements, please tell me in advance within any way, such as useful links, wikipedia and so on.
+
+More details, please refer to [Multilingual OCR Development Plan](https://github.com/PaddlePaddle/PaddleOCR/issues/1048).
+
+
+<a name="LICENSE"></a>
+## 📄 License
+This project is released under <a href="https://github.com/PaddlePaddle/PaddleOCR/blob/master/LICENSE">Apache 2.0 license</a>

README_ch.md

@@ -0,0 +1,255 @@
+[English](README.md) | 简体中文 | [हिन्दी](./doc/doc_i18n/README_हिन्द.md) | [日本語](./doc/doc_i18n/README_日本語.md) | [한국인](./doc/doc_i18n/README_한국어.md) | [Pу́сский язы́к](./doc/doc_i18n/README_Ру́сский_язы́к.md)
+
+<p align="center">
+ <img src="./doc/PaddleOCR_log.png" align="middle" width = "600"/>
+<p align="center">
+<p align="left">
+    <a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
+    <a href="https://github.com/PaddlePaddle/PaddleOCR/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleOCR?color=ffa"></a>
+    <a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a>
+    <a href=""><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
+    <a href=""><img src="https://img.shields.io/pypi/format/PaddleOCR?color=c77"></a>
+    <a href="https://pypi.org/project/PaddleOCR/"><img src="https://img.shields.io/pypi/dm/PaddleOCR?color=9cf"></a>
+    <a href="https://github.com/PaddlePaddle/PaddleOCR/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleOCR?color=ccf"></a>
+</p>
+
+## 简介
+
+PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力开发者训练出更好的模型，并应用落地。
+
+<div align="center">
+    <img src="./doc/imgs_results/ch_ppocr_mobile_v2.0/test_add_91.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="./doc/imgs_results/ch_ppocr_mobile_v2.0/00006737.jpg" width="800">
+</div>
+
+## 📣 近期更新
+
+- **🔥2023.3.10 PaddleOCR集成了高性能、全场景模型部署方案FastDeploy，欢迎参考[指南](https://github.com/PaddlePaddle/PaddleOCR/tree/dygraph/deploy/fastdeploy)试用（注意使用dygraph分支）。**
+- 📚**2022.12 发布[《OCR产业范例20讲》电子书](./applications/README.md)**，新增蒙古文、身份证、液晶屏缺陷等**7个场景应用范例**
+- 🔨**2022.11 新增实现[4种前沿算法](doc/doc_ch/algorithm_overview.md)**：文本检测 [DRRG](doc/doc_ch/algorithm_det_drrg.md),  文本识别 [RFL](doc/doc_ch/algorithm_rec_rfl.md), 文本超分[Text Telescope](doc/doc_ch/algorithm_sr_telescope.md)，公式识别[CAN](doc/doc_ch/algorithm_rec_can.md)
+- **2022.10 优化[JS版PP-OCRv3模型](./deploy/paddlejs/README_ch.md)**：模型大小仅4.3M，预测速度提升8倍，配套web demo开箱即用
+- **💥 直播回放：PaddleOCR研发团队详解PP-StructureV2优化策略**。微信扫描[下方二维码](#开源社区)，关注公众号并填写问卷后进入官方交流群，获取直播回放链接与20G重磅OCR学习大礼包（内含PDF转Word应用程序、10种垂类模型、《动手学OCR》电子书等）
+
+- **🔥2022.8.24 发布 PaddleOCR [release/2.6](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.6)**
+  - 发布[PP-StructureV2](./ppstructure/README_ch.md)，系统功能性能全面升级，适配中文场景，新增支持[版面复原](./ppstructure/recovery/README_ch.md)，支持**一行命令完成PDF转Word**；
+  - [版面分析](./ppstructure/layout/README_ch.md)模型优化：模型存储减少95%，速度提升11倍，平均CPU耗时仅需41ms；
+  - [表格识别](./ppstructure/table/README_ch.md)模型优化：设计3大优化策略，预测耗时不变情况下，模型精度提升6%；
+  - [关键信息抽取](./ppstructure/kie/README_ch.md)模型优化：设计视觉无关模型结构，语义实体识别精度提升2.8%，关系抽取精度提升9.1%。
+- **2022.8 发布 [OCR场景应用集合](./applications)**：包含数码管、液晶屏、车牌、高精度SVTR模型、手写体识别等**9个垂类模型**，覆盖通用，制造、金融、交通行业的主要OCR垂类应用。
+- **2022.8 新增实现[8种前沿算法](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_overview.md)**
+  - 文本检测：[FCENet](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_det_fcenet.md), [DB++](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_det_db.md)
+  - 文本识别：[ViTSTR](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_rec_vitstr.md), [ABINet](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_rec_abinet.md), [VisionLAN](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_rec_visionlan.md), [SPIN](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_rec_spin.md), [RobustScanner](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_rec_robustscanner.md)
+  - 表格识别：[TableMaster](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6rc/doc/doc_ch/algorithm_table_master.md)
+
+- **2022.5.9 发布 PaddleOCR [release/2.5](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.5)**
+    - 发布[PP-OCRv3](./doc/doc_ch/ppocr_introduction.md#pp-ocrv3)，速度可比情况下，中文场景效果相比于PP-OCRv2再提升5%，英文场景提升11%，80语种多语言模型平均识别准确率提升5%以上；
+    - 发布半自动标注工具[PPOCRLabelv2](./PPOCRLabel)：新增表格文字图像、图像关键信息抽取任务和不规则文字图像的标注功能；
+    - 发布OCR产业落地工具集：打通22种训练部署软硬件环境与方式，覆盖企业90%的训练部署环境需求；
+    - 发布交互式OCR开源电子书[《动手学OCR》](./doc/doc_ch/ocr_book.md)，覆盖OCR全栈技术的前沿理论与代码实践，并配套教学视频。
+
+> [更多](./doc/doc_ch/update.md)
+
+## 🌟 特性
+
+支持多种OCR相关前沿算法，在此基础上打造产业级特色模型[PP-OCR](./doc/doc_ch/ppocr_introduction.md)和[PP-Structure](./ppstructure/README_ch.md)，并打通数据生产、模型训练、压缩、预测部署全流程。
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/25809855/186170862-b8f80f6c-fee7-4b26-badc-de9c327c76ce.png">
+</div>
+
+> 上述内容的使用方法建议从文档教程中的快速开始体验
+
+
+## ⚡ 快速开始
+
+- 在线网站体验：超轻量PP-OCR mobile模型体验地址：https://www.paddlepaddle.org.cn/hub/scene/ocr
+- 移动端demo体验：[安装包DEMO下载地址](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)(基于EasyEdge和Paddle-Lite, 支持iOS和Android系统)
+- 一行命令快速使用：[快速开始（中英文/多语言/文档分析）](./doc/doc_ch/quickstart.md)
+
+<a name="电子书"></a>
+## 📚《动手学OCR》电子书
+- [《动手学OCR》电子书](./doc/doc_ch/ocr_book.md)
+
+<a name="开源社区"></a>
+
+## 👫 开源社区
+- **📑项目合作：** 如果您是企业开发者且有明确的OCR垂类应用需求，填写[问卷](https://paddle.wjx.cn/vj/QwF7GKw.aspx)后可免费与官方团队展开不同层次的合作。
+- **👫加入社区：** **微信扫描二维码并填写问卷之后，加入交流群领取20G重磅OCR学习大礼包**
+  - **包括《动手学OCR》电子书** ，配套讲解视频和notebook项目；**PaddleOCR历次发版直播课回放链接**；
+  - **OCR场景应用模型集合：** 包含数码管、液晶屏、车牌、高精度SVTR模型、手写体识别等垂类模型，覆盖通用，制造、金融、交通行业的主要OCR垂类应用。
+  - PDF2Word应用程序；OCR社区优秀开发者项目分享视频。
+- **🏅️社区项目**：[社区项目](./doc/doc_ch/thirdparty.md)文档中包含了社区用户**使用PaddleOCR开发的各种工具、应用**以及**为PaddleOCR贡献的功能、优化的文档与代码**等，是官方为社区开发者打造的荣誉墙，也是帮助优质项目宣传的广播站。  
+- **🎁社区常规赛**：社区常规赛是面向OCR开发者的积分赛事，覆盖文档、代码、模型和应用四大类型，以季度为单位评选并发放奖励，赛题详情与报名方法可参考[链接](https://github.com/PaddlePaddle/PaddleOCR/issues/4982)。
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/joinus.PNG"  width = "150" height = "150",caption='' />
+<p>PaddleOCR官方交流群二维码</p>
+</div>
+
+
+<a name="模型下载"></a>
+## 🛠️ PP-OCR系列模型列表（更新中）
+
+| 模型简介                              | 模型名称                | 推荐场景        | 检测模型                                                     | 方向分类器                                                   | 识别模型                                                     |
+| ------------------------------------- | ----------------------- | --------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
+| 中英文超轻量PP-OCRv3模型（16.2M）     | ch_PP-OCRv3_xx          | 移动端&服务器端 | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar) | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) |
+| 英文超轻量PP-OCRv3模型（13.4M）     | en_PP-OCRv3_xx          | 移动端&服务器端 | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) |
+
+- 超轻量OCR系列更多模型下载（包括多语言），可以参考[PP-OCR系列模型下载](./doc/doc_ch/models_list.md)，文档分析相关模型参考[PP-Structure系列模型下载](./ppstructure/docs/models_list.md)
+
+### PaddleOCR场景应用模型
+
+| 行业 | 类别         | 亮点                               | 文档说明                                                     | 模型下载                                      |
+| ---- | ------------ | ---------------------------------- | ------------------------------------------------------------ | --------------------------------------------- |
+| 制造 | 数码管识别   | 数码管数据合成、漏识别调优         | [光功率计数码管字符识别](./applications/光功率计数码管字符识别/光功率计数码管字符识别.md) | [下载链接](./applications/README.md#模型下载) |
+| 金融 | 通用表单识别 | 多模态通用表单结构化提取           | [多模态表单识别](./applications/多模态表单识别.md)           | [下载链接](./applications/README.md#模型下载) |
+| 交通 | 车牌识别     | 多角度图像处理、轻量模型、端侧部署 | [轻量级车牌识别](./applications/轻量级车牌识别.md)           | [下载链接](./applications/README.md#模型下载) |
+
+- 更多制造、金融、交通行业的主要OCR垂类应用模型（如电表、液晶屏、高精度SVTR模型等），可参考[场景应用模型下载](./applications)
+
+<a name="文档教程"></a>
+
+## 📖 文档教程
+
+- [运行环境准备](./doc/doc_ch/environment.md)
+- [PP-OCR文本检测识别🔥](./doc/doc_ch/ppocr_introduction.md)
+    - [快速开始](./doc/doc_ch/quickstart.md)
+    - [模型库](./doc/doc_ch/models_list.md)
+    - [模型训练](./doc/doc_ch/training.md)
+        - [文本检测](./doc/doc_ch/detection.md)
+        - [文本识别](./doc/doc_ch/recognition.md)
+        - [文本方向分类器](./doc/doc_ch/angle_class.md)
+    - 模型压缩
+        - [模型量化](./deploy/slim/quantization/README.md)
+        - [模型裁剪](./deploy/slim/prune/README.md)
+        - [知识蒸馏](./doc/doc_ch/knowledge_distillation.md)
+    - [推理部署](./deploy/README_ch.md)
+        - [基于Python预测引擎推理](./doc/doc_ch/inference_ppocr.md)
+        - [基于C++预测引擎推理](./deploy/cpp_infer/readme_ch.md)
+        - [服务化部署](./deploy/pdserving/README_CN.md)
+        - [端侧部署](./deploy/lite/readme.md)
+        - [Paddle2ONNX模型转化与预测](./deploy/paddle2onnx/readme.md)
+        - [云上飞桨部署工具](./deploy/paddlecloud/README.md)
+        - [Benchmark](./doc/doc_ch/benchmark.md)
+- [PP-Structure文档分析🔥](./ppstructure/README_ch.md)
+    - [快速开始](./ppstructure/docs/quickstart.md)
+    - [模型库](./ppstructure/docs/models_list.md)
+    - [模型训练](./doc/doc_ch/training.md)
+        - [版面分析](./ppstructure/layout/README_ch.md)
+        - [表格识别](./ppstructure/table/README_ch.md)
+        - [关键信息提取](./ppstructure/kie/README_ch.md)
+    - [推理部署](./deploy/README_ch.md)
+        - [基于Python预测引擎推理](./ppstructure/docs/inference.md)
+        - [基于C++预测引擎推理](./deploy/cpp_infer/readme_ch.md)
+        - [服务化部署](./deploy/hubserving/readme.md)
+- [前沿算法与模型🚀](./doc/doc_ch/algorithm_overview.md)
+    - [文本检测算法](./doc/doc_ch/algorithm_overview.md)
+    - [文本识别算法](./doc/doc_ch/algorithm_overview.md)
+    - [端到端OCR算法](./doc/doc_ch/algorithm_overview.md)
+    - [表格识别算法](./doc/doc_ch/algorithm_overview.md)
+    - [关键信息抽取算法](./doc/doc_ch/algorithm_overview.md)
+    - [使用PaddleOCR架构添加新算法](./doc/doc_ch/add_new_algorithm.md)
+- [场景应用](./applications)
+- 数据标注与合成
+    - [半自动标注工具PPOCRLabel](./PPOCRLabel/README_ch.md)
+    - [数据合成工具Style-Text](./StyleText/README_ch.md)
+    - [其它数据标注工具](./doc/doc_ch/data_annotation.md)
+    - [其它数据合成工具](./doc/doc_ch/data_synthesis.md)
+- 数据集
+    - [通用中英文OCR数据集](doc/doc_ch/dataset/datasets.md)
+    - [手写中文OCR数据集](doc/doc_ch/dataset/handwritten_datasets.md)
+    - [垂类多语言OCR数据集](doc/doc_ch/dataset/vertical_and_multilingual_datasets.md)
+    - [版面分析数据集](doc/doc_ch/dataset/layout_datasets.md)
+    - [表格识别数据集](doc/doc_ch/dataset/table_datasets.md)
+    - [关键信息提取数据集](doc/doc_ch/dataset/kie_datasets.md)
+- [代码组织结构](./doc/doc_ch/tree.md)
+- [效果展示](#效果展示)
+- [《动手学OCR》电子书📚](./doc/doc_ch/ocr_book.md)
+- [开源社区](#开源社区)
+- FAQ
+    - [通用问题](./doc/doc_ch/FAQ.md)
+    - [PaddleOCR实战问题](./doc/doc_ch/FAQ.md)
+- [参考文献](./doc/doc_ch/reference.md)
+- [许可证书](#许可证书)
+
+
+<a name="效果展示"></a>
+
+## 👀 效果展示 [more](./doc/doc_ch/visualization.md)
+
+<details open>
+<summary>PP-OCRv3 中文模型</summary>
+
+<div align="center">
+    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic001.jpg" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic002.jpg" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/ch/PP-OCRv3-pic003.jpg" width="800">
+</div>
+
+</details>
+
+
+<details open>
+<summary>PP-OCRv3 英文模型</summary>
+
+<div align="center">
+    <img src="doc/imgs_results/PP-OCRv3/en/en_1.png" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/en/en_2.png" width="800">
+</div>
+
+</details>
+
+
+<details open>
+<summary>PP-OCRv3 多语言模型</summary>
+
+<div align="center">
+    <img src="doc/imgs_results/PP-OCRv3/multi_lang/japan_2.jpg" width="800">
+    <img src="doc/imgs_results/PP-OCRv3/multi_lang/korean_1.jpg" width="800">
+</div>
+
+</details>
+
+<details open>
+<summary>PP-Structure 文档分析</summary>
+
+- 版面分析+表格识别  
+<div align="center">
+    <img src="./ppstructure/docs/table/ppstructure.GIF" width="800">
+</div>
+
+- SER（语义实体识别）  
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185310636-6ce02f7c-790d-479f-b163-ea97a5a04808.jpg" width="600">
+</div>
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185539517-ccf2372a-f026-4a7c-ad28-c741c770f60a.png" width="600">
+</div>
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/197464552-69de557f-edff-4c7f-acbf-069df1ba097f.png" width="600">
+</div>
+
+- RE（关系提取）
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185393805-c67ff571-cf7e-4217-a4b0-8b396c4f22bb.jpg" width="600">
+</div>
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/14270174/185540080-0431e006-9235-4b6d-b63d-0b3c6e1de48f.jpg" width="600">
+</div>
+
+<div align="center">
+    <img src="https://user-images.githubusercontent.com/25809855/186094813-3a8e16cc-42e5-4982-b9f4-0134dfb5688d.png" width="600">
+</div>
+
+</details>
+
+<a name="许可证书"></a>
+
+## 许可证书
+本项目的发布受<a href="https://github.com/PaddlePaddle/PaddleOCR/blob/master/LICENSE">Apache 2.0 license</a>许可认证。

StyleText/README.md

@@ -0,0 +1,219 @@
+English | [简体中文](README_ch.md)
+
+## Style Text
+
+### Contents
+- [1. Introduction](#Introduction)
+- [2. Preparation](#Preparation)
+- [3. Quick Start](#Quick_Start)
+- [4. Applications](#Applications)
+- [5. Code Structure](#Code_structure)
+
+
+<a name="Introduction"></a>
+### Introduction
+
+<div align="center">
+    <img src="doc/images/3.png" width="800">
+</div>
+
+<div align="center">
+    <img src="doc/images/9.png" width="600">
+</div>
+
+
+The Style-Text data synthesis tool is a tool based on Baidu and HUST cooperation research work, "Editing Text in the Wild" [https://arxiv.org/abs/1908.03047](https://arxiv.org/abs/1908.03047).
+
+Different from the commonly used GAN-based data synthesis tools, the main framework of Style-Text includes:
+* (1) Text foreground style transfer module.
+* (2) Background extraction module.
+* (3) Fusion module.
+
+After these three steps, you can quickly realize the image text style transfer. The following figure is some results of the data synthesis tool.
+
+<div align="center">
+    <img src="doc/images/10.png" width="1000">
+</div>
+
+
+<a name="Preparation"></a>
+#### Preparation
+
+1. Please refer the [QUICK INSTALLATION](../doc/doc_en/installation_en.md) to install PaddlePaddle. Python3 environment is strongly recommended.
+2. Download the pretrained models and unzip:
+
+```bash
+cd StyleText
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/style_text/style_text_models.zip
+unzip style_text_models.zip
+```
+
+If you save the model in another location, please modify the address of the model file in `configs/config.yml`, and you need to modify these three configurations at the same time:
+
+```
+bg_generator:
+  pretrain: style_text_models/bg_generator
+...
+text_generator:
+  pretrain: style_text_models/text_generator
+...
+fusion_generator:
+  pretrain: style_text_models/fusion_generator
+```
+
+<a name="Quick_Start"></a>
+### Quick Start
+
+#### Synthesis single image
+
+1. You can run `tools/synth_image` and generate the demo image, which is saved in the current folder.
+
+```python
+python3 tools/synth_image.py -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en
+```
+
+* Note 1: The language options is correspond to the corpus. Currently, the tool only supports English(en), Simplified Chinese(ch) and Korean(ko).
+* Note 2: Synth-Text is mainly used to generate images for OCR recognition models.
+  So the height of style images should be around 32 pixels. Images in other sizes may behave poorly.
+* Note 3: You can modify `use_gpu` in `configs/config.yml` to determine whether to use GPU for prediction.
+
+
+
+For example, enter the following image and corpus `PaddleOCR`.
+
+<div align="center">
+    <img src="examples/style_images/2.jpg" width="300">
+</div>
+
+The result `fake_fusion.jpg` will be generated.
+
+<div align="center">
+    <img src="doc/images/4.jpg" width="300">
+</div>
+
+What's more, the medium result `fake_bg.jpg` will also be saved, which is the background output.
+
+<div align="center">
+    <img src="doc/images/7.jpg" width="300">
+</div>
+
+
+`fake_text.jpg` * `fake_text.jpg` is the generated image with the same font style as `Style Input`.
+
+
+<div align="center">
+    <img src="doc/images/8.jpg" width="300">
+</div>
+
+
+#### Batch synthesis
+
+In actual application scenarios, it is often necessary to synthesize pictures in batches and add them to the training set. StyleText can use a batch of style pictures and corpus to synthesize data in batches. The synthesis process is as follows:
+
+1. The referenced dataset can be specifed in `configs/dataset_config.yml`:
+
+   * `Global`：
+     * `output_dir:`：Output synthesis data path.
+   * `StyleSampler`：
+     * `image_home`：style images' folder.
+     * `label_file`：Style images' file list. If label is provided, then it is the label file path.
+     * `with_label`：Whether the `label_file` is label file list.
+   * `CorpusGenerator`：
+     * `method`：Method of CorpusGenerator，supports `FileCorpus` and `EnNumCorpus`. If `EnNumCorpus` is used，No other configuration is needed，otherwise you need to set `corpus_file` and `language`.
+     * `language`：Language of the corpus. Currently, the tool only supports English(en), Simplified Chinese(ch) and Korean(ko).
+     * `corpus_file`: Filepath of the corpus. Corpus file should be a text file which will be split by line-endings（'\n'）. Corpus generator samples one line each time.
+
+
+Example of corpus file:
+```
+PaddleOCR
+飞桨文字识别
+StyleText
+风格文本图像数据合成
+```
+
+We provide a general dataset containing Chinese, English and Korean (50,000 images in all) for your trial ([download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/style_text/chkoen_5w.tar)), some examples are given below :
+
+<div align="center">
+     <img src="doc/images/5.png" width="800">
+</div>
+
+2. You can run the following command to start synthesis task:
+
+   ``` bash
+   python3 tools/synth_dataset.py -c configs/dataset_config.yml
+   ```
+
+We also provide example corpus and images in `examples` folder.
+    <div align="center">
+        <img src="examples/style_images/1.jpg" width="300">
+        <img src="examples/style_images/2.jpg" width="300">
+    </div>
+If you run the code above directly, you will get example output data in `output_data` folder.
+You will get synthesis images and labels as below:
+   <div align="center">
+       <img src="doc/images/12.png" width="800">
+   </div>
+There will be some cache under the `label` folder. If the program exit unexpectedly, you can find cached labels there.
+When the program finish normally, you will find all the labels in `label.txt` which give the final results.
+
+<a name="Applications"></a>
+### Applications
+We take two scenes as examples, which are metal surface English number recognition and general Korean recognition, to illustrate practical cases of using StyleText to synthesize data to improve text recognition. The following figure shows some examples of real scene images and composite images:
+
+<div align="center">
+    <img src="doc/images/11.png" width="800">
+</div>
+
+
+After adding the above synthetic data for training, the accuracy of the recognition model is improved, which is shown in the following table:
+
+
+| Scenario | Characters | Raw Data | Test Data | Only Use Raw Data</br>Recognition Accuracy | New Synthetic Data | Simultaneous Use of Synthetic Data</br>Recognition Accuracy | Index Improvement |
+| -------- | ---------- | -------- | -------- | -------------------------- | ------------ | ---------------------- | -------- |
+| Metal surface | English and numbers | 2203     | 650      | 59.38%                     | 20000        | 75.46%                 | 16.08%      |
+| Random background | Korean       | 5631     | 1230     | 30.12%                     | 100000       | 50.57%                 | 20.45%      |
+
+<a name="Code_structure"></a>
+### Code Structure
+
+```
+StyleText
+|-- arch                        // Network module files.
+|   |-- base_module.py
+|   |-- decoder.py
+|   |-- encoder.py
+|   |-- spectral_norm.py
+|   `-- style_text_rec.py
+|-- configs                     // Config files.
+|   |-- config.yml
+|   `-- dataset_config.yml
+|-- engine                      // Synthesis engines.
+|   |-- corpus_generators.py    // Sample corpus from file or generate random corpus.
+|   |-- predictors.py           // Predict using network.
+|   |-- style_samplers.py       // Sample style images.
+|   |-- synthesisers.py         // Manage other engines to synthesis images.
+|   |-- text_drawers.py         // Generate standard input text images.
+|   `-- writers.py              // Write synthesis images and labels into files.
+|-- examples                    // Example files.
+|   |-- corpus
+|   |   `-- example.txt
+|   |-- image_list.txt
+|   `-- style_images
+|       |-- 1.jpg
+|       `-- 2.jpg
+|-- fonts                       // Font files.
+|   |-- ch_standard.ttf
+|   |-- en_standard.ttf
+|   `-- ko_standard.ttf
+|-- tools                       // Program entrance.
+|   |-- __init__.py
+|   |-- synth_dataset.py        // Synthesis dataset.
+|   `-- synth_image.py          // Synthesis image.
+`-- utils                       // Module of basic functions.
+    |-- config.py
+    |-- load_params.py
+    |-- logging.py
+    |-- math_functions.py
+    `-- sys_funcs.py
+```

StyleText/README_ch.md

@@ -0,0 +1,205 @@
+简体中文 | [English](README.md)
+
+## Style Text
+
+
+### 目录
+- [一、工具简介](#工具简介)
+- [二、环境配置](#环境配置)
+- [三、快速上手](#快速上手)
+- [四、应用案例](#应用案例)
+- [五、代码结构](#代码结构)
+
+<a name="工具简介"></a>
+### 一、工具简介
+<div align="center">
+    <img src="doc/images/3.png" width="800">
+</div>
+
+<div align="center">
+    <img src="doc/images/1.png" width="600">
+</div>
+
+
+Style-Text数据合成工具是基于百度和华科合作研发的文本编辑算法《Editing Text in the Wild》https://arxiv.org/abs/1908.03047
+
+不同于常用的基于GAN的数据合成工具，Style-Text主要框架包括：1.文本前景风格迁移模块 2.背景抽取模块 3.融合模块。经过这样三步，就可以迅速实现图像文本风格迁移。下图是一些该数据合成工具效果图。
+
+<div align="center">
+    <img src="doc/images/2.png" width="1000">
+</div>
+
+<a name="环境配置"></a>
+### 二、环境配置
+
+1. 参考[快速安装](../doc/doc_ch/installation.md)，安装PaddleOCR。
+2. 进入`StyleText`目录，下载模型，并解压：
+
+```bash
+cd StyleText
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/style_text/style_text_models.zip
+unzip style_text_models.zip
+```
+
+如果您将模型保存再其他位置，请在`configs/config.yml`中修改模型文件的地址，修改时需要同时修改这三个配置：
+
+```
+bg_generator:
+  pretrain: style_text_models/bg_generator
+...
+text_generator:
+  pretrain: style_text_models/text_generator
+...
+fusion_generator:
+  pretrain: style_text_models/fusion_generator
+```
+
+<a name="快速上手"></a>
+### 三、快速上手
+
+#### 合成单张图
+输入一张风格图和一段文字语料，运行tools/synth_image，合成单张图片，结果图像保存在当前目录下：
+
+```python
+python3 tools/synth_image.py -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en
+```
+* 注1：语言选项和语料相对应，目前支持英文(en)、简体中文(ch)和韩语(ko)。
+* 注2：Style-Text生成的数据主要应用于OCR识别场景。基于当前PaddleOCR识别模型的设计，我们主要支持高度在32左右的风格图像。
+  如果输入图像尺寸相差过多，效果可能不佳。
+* 注3：可以通过修改配置文件`configs/config.yml`中的`use_gpu`(true或者false)参数来决定是否使用GPU进行预测。
+
+
+例如，输入如下图片和语料"PaddleOCR":
+
+<div align="center">
+    <img src="examples/style_images/2.jpg" width="300">
+</div>
+
+生成合成数据`fake_fusion.jpg`：
+<div align="center">
+    <img src="doc/images/4.jpg" width="300">
+</div>
+
+除此之外，程序还会生成并保存中间结果`fake_bg.jpg`：为风格参考图去掉文字后的背景；
+
+<div align="center">
+    <img src="doc/images/7.jpg" width="300">
+</div>
+
+`fake_text.jpg`：是用提供的字符串，仿照风格参考图中文字的风格，生成在灰色背景上的文字图片。
+
+<div align="center">
+    <img src="doc/images/8.jpg" width="300">
+</div>
+
+#### 批量合成
+在实际应用场景中，经常需要批量合成图片，补充到训练集中。Style-Text可以使用一批风格图片和语料，批量合成数据。合成过程如下：
+
+1. 在`configs/dataset_config.yml`中配置目标场景风格图像和语料的路径，具体如下：
+
+   * `Global`：
+     * `output_dir:`：保存合成数据的目录。
+   * `StyleSampler`：
+     * `image_home`：风格图片目录；
+     * `label_file`：风格图片路径列表文件，如果所用数据集有label，则label_file为label文件路径；
+     * `with_label`：标志`label_file`是否为label文件。
+   * `CorpusGenerator`：
+     * `method`：语料生成方法，目前有`FileCorpus`和`EnNumCorpus`可选。如果使用`EnNumCorpus`，则不需要填写其他配置，否则需要修改`corpus_file`和`language`；
+     * `language`：语料的语种，目前支持英文(en)、简体中文(ch)和韩语(ko)；
+     * `corpus_file`: 语料文件路径。语料文件应使用文本文件。语料生成器首先会将语料按行切分，之后每次随机选取一行。
+
+   语料文件格式示例：
+   ```
+   PaddleOCR
+   飞桨文字识别
+   StyleText
+   风格文本图像数据合成
+   ...
+   ```
+
+   Style-Text也提供了一批中英韩5万张通用场景数据用作文本风格图像，便于合成场景丰富的文本图像，下图给出了一些示例。
+
+   中英韩5万张通用场景数据: [下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/style_text/chkoen_5w.tar)
+
+<div align="center">
+    <img src="doc/images/5.png" width="800">
+</div>
+
+2. 运行`tools/synth_dataset`合成数据：
+
+   ``` bash
+   python3 tools/synth_dataset.py -c configs/dataset_config.yml
+   ```
+   我们在examples目录下提供了样例图片和语料。
+    <div align="center">
+        <img src="examples/style_images/1.jpg" width="300">
+        <img src="examples/style_images/2.jpg" width="300">
+    </div>
+
+   直接运行上述命令，可以在output_data中产生样例输出，包括图片和用于训练识别模型的标注文件：
+   <div align="center">
+       <img src="doc/images/12.png" width="800">
+   </div>
+
+   其中label目录下的标注文件为程序运行过程中产生的缓存，如果程序在中途异常终止，可以使用缓存的标注文件。
+   如果程序正常运行完毕，则会在output_data下生成label.txt，为最终的标注结果。
+
+<a name="应用案例"></a>
+### 四、应用案例
+下面以金属表面英文数字识别和通用韩语识别两个场景为例，说明使用Style-Text合成数据，来提升文本识别效果的实际案例。下图给出了一些真实场景图像和合成图像的示例：
+
+<div align="center">
+    <img src="doc/images/6.png" width="800">
+</div>
+
+在添加上述合成数据进行训练后，识别模型的效果提升，如下表所示：
+
+| 场景     | 字符       | 原始数据 | 测试数据 | 只使用原始数据</br>识别准确率 | 新增合成数据 | 同时使用合成数据</br>识别准确率 | 指标提升 |
+| -------- | ---------- | -------- | -------- | -------------------------- | ------------ | ---------------------- | -------- |
+| 金属表面 | 英文和数字 | 2203     | 650      | 59.38%                     | 20000        | 75.46%                 | 16.08%      |
+| 随机背景 | 韩语       | 5631     | 1230     | 30.12%                     | 100000       | 50.57%                 | 20.45%      |
+
+
+<a name="代码结构"></a>
+### 五、代码结构
+
+```
+StyleText
+|-- arch                        // 网络结构定义文件
+|   |-- base_module.py
+|   |-- decoder.py
+|   |-- encoder.py
+|   |-- spectral_norm.py
+|   `-- style_text_rec.py
+|-- configs                     // 配置文件
+|   |-- config.yml
+|   `-- dataset_config.yml
+|-- engine                      // 数据合成引擎
+|   |-- corpus_generators.py    // 从文本采样或随机生成语料
+|   |-- predictors.py           // 调用网络生成数据
+|   |-- style_samplers.py       // 采样风格图片
+|   |-- synthesisers.py         // 调度各个模块，合成数据
+|   |-- text_drawers.py         // 生成标准文字图片，用作输入
+|   `-- writers.py              // 将合成的图片和标签写入本地目录
+|-- examples                    // 示例文件
+|   |-- corpus
+|   |   `-- example.txt
+|   |-- image_list.txt
+|   `-- style_images
+|       |-- 1.jpg
+|       `-- 2.jpg
+|-- fonts                       // 字体文件
+|   |-- ch_standard.ttf
+|   |-- en_standard.ttf
+|   `-- ko_standard.ttf
+|-- tools                       // 程序入口
+|   |-- __init__.py
+|   |-- synth_dataset.py        // 批量合成数据
+|   `-- synth_image.py          // 合成单张图片
+`-- utils                       // 其他基础功能模块
+    |-- config.py
+    |-- load_params.py
+    |-- logging.py
+    |-- math_functions.py
+    `-- sys_funcs.py
+```

StyleText/arch/base_module.py

@@ -0,0 +1,255 @@
+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import paddle
+import paddle.nn as nn
+
+from arch.spectral_norm import spectral_norm
+
+
+class CBN(nn.Layer):
+    def __init__(self,
+                 name,
+                 in_channels,
+                 out_channels,
+                 kernel_size,
+                 stride=1,
+                 padding=0,
+                 dilation=1,
+                 groups=1,
+                 use_bias=False,
+                 norm_layer=None,
+                 act=None,
+                 act_attr=None):
+        super(CBN, self).__init__()
+        if use_bias:
+            bias_attr = paddle.ParamAttr(name=name + "_bias")
+        else:
+            bias_attr = None
+        self._conv = paddle.nn.Conv2D(
+            in_channels=in_channels,
+            out_channels=out_channels,
+            kernel_size=kernel_size,
+            stride=stride,
+            padding=padding,
+            dilation=dilation,
+            groups=groups,
+            weight_attr=paddle.ParamAttr(name=name + "_weights"),
+            bias_attr=bias_attr)
+        if norm_layer:
+            self._norm_layer = getattr(paddle.nn, norm_layer)(
+                num_features=out_channels, name=name + "_bn")
+        else:
+            self._norm_layer = None
+        if act:
+            if act_attr:
+                self._act = getattr(paddle.nn, act)(**act_attr,
+                                                    name=name + "_" + act)
+            else:
+                self._act = getattr(paddle.nn, act)(name=name + "_" + act)
+        else:
+            self._act = None
+
+    def forward(self, x):
+        out = self._conv(x)
+        if self._norm_layer:
+            out = self._norm_layer(out)
+        if self._act:
+            out = self._act(out)
+        return out
+
+
+class SNConv(nn.Layer):
+    def __init__(self,
+                 name,
+                 in_channels,
+                 out_channels,
+                 kernel_size,
+                 stride=1,
+                 padding=0,
+                 dilation=1,
+                 groups=1,
+                 use_bias=False,
+                 norm_layer=None,
+                 act=None,
+                 act_attr=None):
+        super(SNConv, self).__init__()
+        if use_bias:
+            bias_attr = paddle.ParamAttr(name=name + "_bias")
+        else:
+            bias_attr = None
+        self._sn_conv = spectral_norm(
+            paddle.nn.Conv2D(
+                in_channels=in_channels,
+                out_channels=out_channels,
+                kernel_size=kernel_size,
+                stride=stride,
+                padding=padding,
+                dilation=dilation,
+                groups=groups,
+                weight_attr=paddle.ParamAttr(name=name + "_weights"),
+                bias_attr=bias_attr))
+        if norm_layer:
+            self._norm_layer = getattr(paddle.nn, norm_layer)(
+                num_features=out_channels, name=name + "_bn")
+        else:
+            self._norm_layer = None
+        if act:
+            if act_attr:
+                self._act = getattr(paddle.nn, act)(**act_attr,
+                                                    name=name + "_" + act)
+            else:
+                self._act = getattr(paddle.nn, act)(name=name + "_" + act)
+        else:
+            self._act = None
+
+    def forward(self, x):
+        out = self._sn_conv(x)
+        if self._norm_layer:
+            out = self._norm_layer(out)
+        if self._act:
+            out = self._act(out)
+        return out
+
+
+class SNConvTranspose(nn.Layer):
+    def __init__(self,
+                 name,
+                 in_channels,
+                 out_channels,
+                 kernel_size,
+                 stride=1,
+                 padding=0,
+                 output_padding=0,
+                 dilation=1,
+                 groups=1,
+                 use_bias=False,
+                 norm_layer=None,
+                 act=None,
+                 act_attr=None):
+        super(SNConvTranspose, self).__init__()
+        if use_bias:
+            bias_attr = paddle.ParamAttr(name=name + "_bias")
+        else:
+            bias_attr = None
+        self._sn_conv_transpose = spectral_norm(
+            paddle.nn.Conv2DTranspose(
+                in_channels=in_channels,
+                out_channels=out_channels,
+                kernel_size=kernel_size,
+                stride=stride,
+                padding=padding,
+                output_padding=output_padding,
+                dilation=dilation,
+                groups=groups,
+                weight_attr=paddle.ParamAttr(name=name + "_weights"),
+                bias_attr=bias_attr))
+        if norm_layer:
+            self._norm_layer = getattr(paddle.nn, norm_layer)(
+                num_features=out_channels, name=name + "_bn")
+        else:
+            self._norm_layer = None
+        if act:
+            if act_attr:
+                self._act = getattr(paddle.nn, act)(**act_attr,
+                                                    name=name + "_" + act)
+            else:
+                self._act = getattr(paddle.nn, act)(name=name + "_" + act)
+        else:
+            self._act = None
+
+    def forward(self, x):
+        out = self._sn_conv_transpose(x)
+        if self._norm_layer:
+            out = self._norm_layer(out)
+        if self._act:
+            out = self._act(out)
+        return out
+
+
+class MiddleNet(nn.Layer):
+    def __init__(self, name, in_channels, mid_channels, out_channels,
+                 use_bias):
+        super(MiddleNet, self).__init__()
+        self._sn_conv1 = SNConv(
+            name=name + "_sn_conv1",
+            in_channels=in_channels,
+            out_channels=mid_channels,
+            kernel_size=1,
+            use_bias=use_bias,
+            norm_layer=None,
+            act=None)
+        self._pad2d = nn.Pad2D(padding=[1, 1, 1, 1], mode="replicate")
+        self._sn_conv2 = SNConv(
+            name=name + "_sn_conv2",
+            in_channels=mid_channels,
+            out_channels=mid_channels,
+            kernel_size=3,
+            use_bias=use_bias)
+        self._sn_conv3 = SNConv(
+            name=name + "_sn_conv3",
+            in_channels=mid_channels,
+            out_channels=out_channels,
+            kernel_size=1,
+            use_bias=use_bias)
+
+    def forward(self, x):
+
+        sn_conv1 = self._sn_conv1.forward(x)
+        pad_2d = self._pad2d.forward(sn_conv1)
+        sn_conv2 = self._sn_conv2.forward(pad_2d)
+        sn_conv3 = self._sn_conv3.forward(sn_conv2)
+        return sn_conv3
+
+
+class ResBlock(nn.Layer):
+    def __init__(self, name, channels, norm_layer, use_dropout, use_dilation,
+                 use_bias):
+        super(ResBlock, self).__init__()
+        if use_dilation:
+            padding_mat = [1, 1, 1, 1]
+        else:
+            padding_mat = [0, 0, 0, 0]
+        self._pad1 = nn.Pad2D(padding_mat, mode="replicate")
+
+        self._sn_conv1 = SNConv(
+            name=name + "_sn_conv1",
+            in_channels=channels,
+            out_channels=channels,
+            kernel_size=3,
+            padding=0,
+            norm_layer=norm_layer,
+            use_bias=use_bias,
+            act="ReLU",
+            act_attr=None)
+        if use_dropout:
+            self._dropout = nn.Dropout(0.5)
+        else:
+            self._dropout = None
+        self._pad2 = nn.Pad2D([1, 1, 1, 1], mode="replicate")
+        self._sn_conv2 = SNConv(
+            name=name + "_sn_conv2",
+            in_channels=channels,
+            out_channels=channels,
+            kernel_size=3,
+            norm_layer=norm_layer,
+            use_bias=use_bias,
+            act="ReLU",
+            act_attr=None)
+
+    def forward(self, x):
+        pad1 = self._pad1.forward(x)
+        sn_conv1 = self._sn_conv1.forward(pad1)
+        pad2 = self._pad2.forward(sn_conv1)
+        sn_conv2 = self._sn_conv2.forward(pad2)
+        return sn_conv2 + x