From a4b7d3ba4a8333a23bab1fc1472aa18deec211d1 Mon Sep 17 00:00:00 2001 From: Wang Xin Date: Tue, 14 May 2024 09:54:56 +0800 Subject: [PATCH] move PPOCRLabel to PFCCLab/PPOCRLabel (#12104) --- PPOCRLabel/Makefile | 35 - PPOCRLabel/PPOCRLabel.py | 3461 ----- PPOCRLabel/README.md | 281 - PPOCRLabel/README_ch.md | 264 - PPOCRLabel/__init__.py | 0 PPOCRLabel/data/gif/kie.gif | Bin 5923762 -> 0 bytes PPOCRLabel/data/gif/multi-point.gif | Bin 837350 -> 0 bytes PPOCRLabel/data/gif/steps_en.gif | Bin 5023948 -> 0 bytes PPOCRLabel/data/gif/table.gif | Bin 1948314 -> 0 bytes PPOCRLabel/data/paddle.png | Bin 6599 -> 0 bytes PPOCRLabel/data/predefined_classes.txt | 0 PPOCRLabel/gen_ocr_train_val_test.py | 178 - PPOCRLabel/libs/__init__.py | 2 - PPOCRLabel/libs/autoDialog.py | 191 - PPOCRLabel/libs/canvas.py | 936 -- PPOCRLabel/libs/colorDialog.py | 48 - PPOCRLabel/libs/constants.py | 32 - PPOCRLabel/libs/create_ml_io.py | 144 - PPOCRLabel/libs/editinlist.py | 33 - PPOCRLabel/libs/hashableQListWidgetItem.py | 41 - PPOCRLabel/libs/keyDialog.py | 208 - PPOCRLabel/libs/labelColor.py | 88 - PPOCRLabel/libs/labelDialog.py | 114 - PPOCRLabel/libs/resources.py | 11722 ---------------- PPOCRLabel/libs/settings.py | 60 - PPOCRLabel/libs/shape.py | 280 - PPOCRLabel/libs/stringBundle.py | 95 - PPOCRLabel/libs/toolBar.py | 51 - PPOCRLabel/libs/unique_label_qlist_widget.py | 48 - PPOCRLabel/libs/ustr.py | 31 - PPOCRLabel/libs/utils.py | 355 - PPOCRLabel/libs/zoomWidget.py | 37 - PPOCRLabel/requirements.txt | 3 - PPOCRLabel/resources.qrc | 41 - PPOCRLabel/resources/icons/Auto.png | Bin 471 -> 0 bytes PPOCRLabel/resources/icons/app.icns | Bin 8 -> 0 bytes PPOCRLabel/resources/icons/app.png | Bin 59236 -> 0 bytes PPOCRLabel/resources/icons/app.svg | 27 - PPOCRLabel/resources/icons/cancel.png | Bin 2136 -> 0 bytes PPOCRLabel/resources/icons/close.png | Bin 3111 -> 0 bytes PPOCRLabel/resources/icons/color.png | Bin 1461 -> 0 bytes PPOCRLabel/resources/icons/color_line.png | Bin 2368 -> 0 bytes PPOCRLabel/resources/icons/copy.png | Bin 646 -> 0 bytes PPOCRLabel/resources/icons/delete.png | Bin 1486 -> 0 bytes PPOCRLabel/resources/icons/done.png | Bin 2198 -> 0 bytes PPOCRLabel/resources/icons/done.svg | 400 - PPOCRLabel/resources/icons/edit.png | Bin 1092 -> 0 bytes PPOCRLabel/resources/icons/expert1.png | Bin 278 -> 0 bytes PPOCRLabel/resources/icons/expert2.png | Bin 335 -> 0 bytes PPOCRLabel/resources/icons/eye.png | Bin 1264 -> 0 bytes PPOCRLabel/resources/icons/feBlend-icon.png | Bin 8059 -> 0 bytes PPOCRLabel/resources/icons/file.png | Bin 765 -> 0 bytes PPOCRLabel/resources/icons/fit-width.png | Bin 1365 -> 0 bytes PPOCRLabel/resources/icons/fit-window.png | Bin 1102 -> 0 bytes PPOCRLabel/resources/icons/fit.png | Bin 2262 -> 0 bytes .../resources/icons/format_createml.png | Bin 4156 -> 0 bytes PPOCRLabel/resources/icons/format_voc.png | Bin 786 -> 0 bytes PPOCRLabel/resources/icons/format_yolo.png | Bin 675 -> 0 bytes PPOCRLabel/resources/icons/help.png | Bin 1587 -> 0 bytes PPOCRLabel/resources/icons/labels.png | Bin 2381 -> 0 bytes PPOCRLabel/resources/icons/labels.svg | 819 -- PPOCRLabel/resources/icons/lock.png | Bin 2931 -> 0 bytes PPOCRLabel/resources/icons/new.png | Bin 977 -> 0 bytes PPOCRLabel/resources/icons/next.png | Bin 30288 -> 0 bytes PPOCRLabel/resources/icons/objects.png | Bin 1103 -> 0 bytes PPOCRLabel/resources/icons/open.png | Bin 2073 -> 0 bytes PPOCRLabel/resources/icons/open.svg | 577 - PPOCRLabel/resources/icons/prev.png | Bin 30665 -> 0 bytes PPOCRLabel/resources/icons/quit.png | Bin 1915 -> 0 bytes PPOCRLabel/resources/icons/reRec.png | Bin 1205 -> 0 bytes PPOCRLabel/resources/icons/resetall.png | Bin 3637 -> 0 bytes PPOCRLabel/resources/icons/rotateLeft.png | Bin 4216 -> 0 bytes PPOCRLabel/resources/icons/rotateRight.png | Bin 4213 -> 0 bytes PPOCRLabel/resources/icons/save-as.png | Bin 2811 -> 0 bytes PPOCRLabel/resources/icons/save-as.svg | 1358 -- PPOCRLabel/resources/icons/save.png | Bin 1187 -> 0 bytes PPOCRLabel/resources/icons/save.svg | 679 - PPOCRLabel/resources/icons/undo-cross.png | Bin 2004 -> 0 bytes PPOCRLabel/resources/icons/undo.png | Bin 2018 -> 0 bytes PPOCRLabel/resources/icons/verify.png | Bin 3041 -> 0 bytes PPOCRLabel/resources/icons/zoom-in.png | Bin 1099 -> 0 bytes PPOCRLabel/resources/icons/zoom-out.png | Bin 1074 -> 0 bytes PPOCRLabel/resources/icons/zoom.png | Bin 1139 -> 0 bytes .../resources/strings/strings-en.properties | 118 - .../strings/strings-zh-CN.properties | 118 - PPOCRLabel/setup.cfg | 8 - PPOCRLabel/setup.py | 55 - README.md | 2 +- README_ch.md | 4 +- README_en.md | 4 +- ...27\347\254\246\350\257\206\345\210\253.md" | 4 +- ...07\345\255\227\350\257\206\345\210\253.md" | 4 +- doc/doc_ch/kie.md | 2 +- doc/doc_ch/table_recognition.md | 2 +- doc/doc_ch/update.md | 4 +- doc/doc_en/kie_en.md | 2 +- doc/doc_en/table_recognition_en.md | 2 +- doc/doc_en/update_en.md | 4 +- ...21\217\320\267\321\213\314\201\320\272.md" | 4 +- ...77\340\244\250\340\245\215\340\244\246.md" | 4 +- ...E_\346\227\245\346\234\254\350\252\236.md" | 4 +- ...E_\355\225\234\352\265\255\354\226\264.md" | 4 +- ppstructure/kie/how_to_do_kie.md | 2 +- ppstructure/kie/how_to_do_kie_en.md | 2 +- 104 files changed, 27 insertions(+), 22965 deletions(-) delete mode 100644 PPOCRLabel/Makefile delete mode 100644 PPOCRLabel/PPOCRLabel.py delete mode 100644 PPOCRLabel/README.md delete mode 100644 PPOCRLabel/README_ch.md delete mode 100644 PPOCRLabel/__init__.py delete mode 100644 PPOCRLabel/data/gif/kie.gif delete mode 100644 PPOCRLabel/data/gif/multi-point.gif delete mode 100644 PPOCRLabel/data/gif/steps_en.gif delete mode 100644 PPOCRLabel/data/gif/table.gif delete mode 100644 PPOCRLabel/data/paddle.png delete mode 100644 PPOCRLabel/data/predefined_classes.txt delete mode 100644 PPOCRLabel/gen_ocr_train_val_test.py delete mode 100644 PPOCRLabel/libs/__init__.py delete mode 100644 PPOCRLabel/libs/autoDialog.py delete mode 100644 PPOCRLabel/libs/canvas.py delete mode 100644 PPOCRLabel/libs/colorDialog.py delete mode 100644 PPOCRLabel/libs/constants.py delete mode 100644 PPOCRLabel/libs/create_ml_io.py delete mode 100644 PPOCRLabel/libs/editinlist.py delete mode 100644 PPOCRLabel/libs/hashableQListWidgetItem.py delete mode 100644 PPOCRLabel/libs/keyDialog.py delete mode 100644 PPOCRLabel/libs/labelColor.py delete mode 100644 PPOCRLabel/libs/labelDialog.py delete mode 100644 PPOCRLabel/libs/resources.py delete mode 100644 PPOCRLabel/libs/settings.py delete mode 100644 PPOCRLabel/libs/shape.py delete mode 100644 PPOCRLabel/libs/stringBundle.py delete mode 100644 PPOCRLabel/libs/toolBar.py delete mode 100644 PPOCRLabel/libs/unique_label_qlist_widget.py delete mode 100644 PPOCRLabel/libs/ustr.py delete mode 100644 PPOCRLabel/libs/utils.py delete mode 100644 PPOCRLabel/libs/zoomWidget.py delete mode 100644 PPOCRLabel/requirements.txt delete mode 100644 PPOCRLabel/resources.qrc delete mode 100644 PPOCRLabel/resources/icons/Auto.png delete mode 100644 PPOCRLabel/resources/icons/app.icns delete mode 100644 PPOCRLabel/resources/icons/app.png delete mode 100644 PPOCRLabel/resources/icons/app.svg delete mode 100644 PPOCRLabel/resources/icons/cancel.png delete mode 100644 PPOCRLabel/resources/icons/close.png delete mode 100644 PPOCRLabel/resources/icons/color.png delete mode 100644 PPOCRLabel/resources/icons/color_line.png delete mode 100644 PPOCRLabel/resources/icons/copy.png delete mode 100644 PPOCRLabel/resources/icons/delete.png delete mode 100644 PPOCRLabel/resources/icons/done.png delete mode 100644 PPOCRLabel/resources/icons/done.svg delete mode 100644 PPOCRLabel/resources/icons/edit.png delete mode 100644 PPOCRLabel/resources/icons/expert1.png delete mode 100644 PPOCRLabel/resources/icons/expert2.png delete mode 100644 PPOCRLabel/resources/icons/eye.png delete mode 100644 PPOCRLabel/resources/icons/feBlend-icon.png delete mode 100644 PPOCRLabel/resources/icons/file.png delete mode 100644 PPOCRLabel/resources/icons/fit-width.png delete mode 100644 PPOCRLabel/resources/icons/fit-window.png delete mode 100644 PPOCRLabel/resources/icons/fit.png delete mode 100644 PPOCRLabel/resources/icons/format_createml.png delete mode 100644 PPOCRLabel/resources/icons/format_voc.png delete mode 100644 PPOCRLabel/resources/icons/format_yolo.png delete mode 100644 PPOCRLabel/resources/icons/help.png delete mode 100644 PPOCRLabel/resources/icons/labels.png delete mode 100644 PPOCRLabel/resources/icons/labels.svg delete mode 100644 PPOCRLabel/resources/icons/lock.png delete mode 100644 PPOCRLabel/resources/icons/new.png delete mode 100644 PPOCRLabel/resources/icons/next.png delete mode 100644 PPOCRLabel/resources/icons/objects.png delete mode 100644 PPOCRLabel/resources/icons/open.png delete mode 100644 PPOCRLabel/resources/icons/open.svg delete mode 100644 PPOCRLabel/resources/icons/prev.png delete mode 100644 PPOCRLabel/resources/icons/quit.png delete mode 100644 PPOCRLabel/resources/icons/reRec.png delete mode 100644 PPOCRLabel/resources/icons/resetall.png delete mode 100644 PPOCRLabel/resources/icons/rotateLeft.png delete mode 100644 PPOCRLabel/resources/icons/rotateRight.png delete mode 100644 PPOCRLabel/resources/icons/save-as.png delete mode 100644 PPOCRLabel/resources/icons/save-as.svg delete mode 100644 PPOCRLabel/resources/icons/save.png delete mode 100644 PPOCRLabel/resources/icons/save.svg delete mode 100644 PPOCRLabel/resources/icons/undo-cross.png delete mode 100644 PPOCRLabel/resources/icons/undo.png delete mode 100644 PPOCRLabel/resources/icons/verify.png delete mode 100644 PPOCRLabel/resources/icons/zoom-in.png delete mode 100644 PPOCRLabel/resources/icons/zoom-out.png delete mode 100644 PPOCRLabel/resources/icons/zoom.png delete mode 100644 PPOCRLabel/resources/strings/strings-en.properties delete mode 100644 PPOCRLabel/resources/strings/strings-zh-CN.properties delete mode 100644 PPOCRLabel/setup.cfg delete mode 100644 PPOCRLabel/setup.py diff --git a/PPOCRLabel/Makefile b/PPOCRLabel/Makefile deleted file mode 100644 index 7d72a890cb..0000000000 --- a/PPOCRLabel/Makefile +++ /dev/null @@ -1,35 +0,0 @@ -# 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 diff --git a/PPOCRLabel/PPOCRLabel.py b/PPOCRLabel/PPOCRLabel.py deleted file mode 100644 index 62991a68ff..0000000000 --- a/PPOCRLabel/PPOCRLabel.py +++ /dev/null @@ -1,3461 +0,0 @@ -# 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 traceback - -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", - "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( - "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, - ) - expand = action( - getStr("expandBox"), - self.expandSelectedShape, - "Ctrl+K", - "expand", - getStr("expandBoxDetail"), - 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, - expand=expand, - 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, - expand, - None, - change_cls, - ), - beginnerContext=( - create, - createpoly, - edit, - copy, - delete, - singleRere, - cellreRec, - rotateLeft, - rotateRight, - lock, - expand, - 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 = "Name:{0} \nApp Version:{1} \n{2} ".format( - __appname__, __version__, sys.version_info - ) - QMessageBox.information(self, "Information", msg) - - def showStepsDialog(self): - msg = stepsInfo(self.lang) - QMessageBox.information(self, "Information", msg) - - def showKeysDialog(self): - msg = keysInfo(self.lang) - QMessageBox.information(self, "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) - self.actions.expand.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("Error saving label data", "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(int(value)) - self.indexListBar.setValue(int(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, 32) - shape.select_line_color = QColor(255, 255, 255) - shape.select_fill_color = QColor(r, g, b, 32) - - 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(int(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(int(value)) - - def addZoom(self, increment=10): - self.setZoom(int(self.zoomWidget.value() + increment)) - self.imageSlider.setValue( - int(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(int(new_h_bar_value)) - v_bar.setValue(int(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( - "Error opening file", - "

Make sure %s 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 import shell, shellcon - # shell.SHFileOperation((0, shellcon.FO_DELETE, deletePath, None, - # shellcon.FOF_SILENT | shellcon.FOF_ALLOWUNDO | shellcon.FOF_NOCONFIRMATION, - # None, None)) - os.remove(deletePath) - # 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 = "The image will be deleted to the recycle bin" - return QMessageBox.warning(self, "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 = '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 = 'You have unsaved changes, would you like to save them and proceed?\nClick "No" to undo all changes.' - return QMessageBox.warning(self, "Attention", msg, yes | no | cancel) - - def errorMessage(self, title, message): - return QMessageBox.critical( - self, title, "

%s

%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, "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, "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, "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 = 0.0 # 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.imdecode(np.fromfile(key, dtype=np.uint8), -1) - 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.imencode(".jpg", img_crop)[1].tofile( - crop_img_dir + img_name - ) - f.write("crop_img/" + img_name + "\t") - f.write(label["transcription"] + "\n") - except KeyError as e: - pass - except Exception as e: - ques_img.append(key) - traceback.print_exc() - 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 expandSelectedShape(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 - box = boxPad(box, img.shape, 3) - shape.points = [ - QPointF(box[0][0], box[0][1]), - QPointF(box[1][0], box[1][1]), - QPointF(box[2][0], box[2][1]), - QPointF(box[3][0], box[3][1]), - ] - print(shape.points) - self.updateBoxlist() - self.setDirty() - - -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()) diff --git a/PPOCRLabel/README.md b/PPOCRLabel/README.md deleted file mode 100644 index 456d313e2e..0000000000 --- a/PPOCRLabel/README.md +++ /dev/null @@ -1,281 +0,0 @@ -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 | -| :-------------------------------------------------: | :--------------------------------------------: | -| | | -| **irregular text annotation** | **key information annotation** | -| | | - -### 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.[1] - -3. Click 'Auto recognition', use PP-OCR model to automatically annotate images which marked with 'X' [2]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[3]. - -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*[4]. - -### 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/release/2.6/doc/doc_en/models_list_en.md) - -- **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/2.6/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/release/2.6/PPOCRLabel/PPOCRLabel.py#L97) : - - 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) diff --git a/PPOCRLabel/README_ch.md b/PPOCRLabel/README_ch.md deleted file mode 100644 index ef3e18a444..0000000000 --- a/PPOCRLabel/README_ch.md +++ /dev/null @@ -1,264 +0,0 @@ -[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 | -| :-------------------------------------------------: | :--------------------------------------------: | -| | | -| **不规则文本标注** | **关键信息标注** | -| | | - -#### 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[1]. -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[2]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[3]。 -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[4]。 - -### 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/release/2.6/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/release/2.6/doc/doc_ch/whl.md#3-%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/2.6/PPOCRLabel/PPOCRLabel.py#L97) 或者[PPStructure](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/PPOCRLabel/PPOCRLabel.py#L104)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. 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