Merge pull request #1656 from Evezerest/develop
Keep the develop branch of PPOCRLabel in sync with the dygraph branch
This commit is contained in:
Daniel Yang
GitHub
commit
0275354c93
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@ -106,7 +106,7 @@ class MainWindow(QMainWindow, WindowMixin):
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getStr = lambda strId: self.stringBundle.getString(strId)
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self.defaultSaveDir = defaultSaveDir
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self.ocr = PaddleOCR(use_pdserving=False, use_angle_cls=True, det=True, cls=True, use_gpu=True, lang=lang)
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self.ocr = PaddleOCR(use_pdserving=False, use_angle_cls=True, det=True, cls=True, use_gpu=False, lang=lang)
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if os.path.exists('./data/paddle.png'):
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result = self.ocr.ocr('./data/paddle.png', cls=True, det=True)
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@ -257,9 +257,6 @@ class MainWindow(QMainWindow, WindowMixin):
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self.imgsliderDock.setObjectName(getStr('IR'))
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self.imgsliderDock.setWidget(self.imgsplider)
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self.imgsliderDock.setFeatures(QDockWidget.DockWidgetFloatable)
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# op = QGraphicsOpacityEffect()
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# op.setOpacity(0.2)
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# self.imgsliderDock.setGraphicsEffect(op)
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self.imgsliderDock.setAttribute(Qt.WA_TranslucentBackground)
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self.addDockWidget(Qt.RightDockWidgetArea, self.imgsliderDock)
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@ -277,6 +274,7 @@ class MainWindow(QMainWindow, WindowMixin):
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self.preButton.setIconSize(QSize(40, 100))
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self.preButton.clicked.connect(self.openPrevImg)
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self.preButton.setStyleSheet('border: none;')
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self.preButton.setShortcut('a')
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self.iconlist = QListWidget()
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self.iconlist.setViewMode(QListView.IconMode)
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self.iconlist.setFlow(QListView.TopToBottom)
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@ -292,20 +290,16 @@ class MainWindow(QMainWindow, WindowMixin):
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self.nextButton.setIconSize(QSize(40, 100))
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self.nextButton.setStyleSheet('border: none;')
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self.nextButton.clicked.connect(self.openNextImg)
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self.nextButton.setShortcut('d')
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hlayout.addWidget(self.preButton)
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hlayout.addWidget(self.iconlist)
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hlayout.addWidget(self.nextButton)
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# self.setLayout(hlayout)
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iconListContainer = QWidget()
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iconListContainer.setLayout(hlayout)
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iconListContainer.setFixedHeight(100)
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# iconListContainer.setFixedWidth(530)
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# op = QGraphicsOpacityEffect()
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# op.setOpacity(0.5)
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# iconListContainer.setGraphicsEffect(op)
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########### Canvas ###########
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self.canvas = Canvas(parent=self)
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@ -366,14 +360,6 @@ class MainWindow(QMainWindow, WindowMixin):
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opendir = action(getStr('openDir'), self.openDirDialog,
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'Ctrl+u', 'open', getStr('openDir'))
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openNextImg = action(getStr('nextImg'), self.openNextImg,
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'd', 'next', getStr('nextImgDetail'))
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openPrevImg = action(getStr('prevImg'), self.openPrevImg,
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'a', 'prev', getStr('prevImgDetail'))
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# verify = action(getStr('verifyImg'), self.verifyImg,
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# 'space', 'verify', getStr('verifyImgDetail'))
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save = action(getStr('save'), self.saveFile,
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'Ctrl+V', 'verify', getStr('saveDetail'), enabled=False)
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@ -381,7 +367,7 @@ class MainWindow(QMainWindow, WindowMixin):
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alcm = action(getStr('choosemodel'), self.autolcm,
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'Ctrl+M', 'next', getStr('tipchoosemodel'))
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deleteImg = action(getStr('deleteImg'), self.deleteImg, 'Ctrl+D', 'close', getStr('deleteImgDetail'),
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deleteImg = action(getStr('deleteImg'), self.deleteImg, 'Ctrl+Shift+D', 'close', getStr('deleteImgDetail'),
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enabled=True)
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resetAll = action(getStr('resetAll'), self.resetAll, None, 'resetall', getStr('resetAllDetail'))
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@ -398,7 +384,7 @@ class MainWindow(QMainWindow, WindowMixin):
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'w', 'new', getStr('crtBoxDetail'), enabled=False)
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delete = action(getStr('delBox'), self.deleteSelectedShape,
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'Delete', 'delete', getStr('delBoxDetail'), enabled=False)
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'backspace', 'delete', getStr('delBoxDetail'), enabled=False)
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copy = action(getStr('dupBox'), self.copySelectedShape,
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'Ctrl+C', 'copy', getStr('dupBoxDetail'),
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enabled=False)
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@ -456,8 +442,11 @@ class MainWindow(QMainWindow, WindowMixin):
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reRec = action(getStr('reRecognition'), self.reRecognition,
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'Ctrl+Shift+R', 'reRec', getStr('reRecognition'), enabled=False)
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singleRere = action(getStr('singleRe'), self.singleRerecognition,
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'Ctrl+R', 'reRec', getStr('singleRe'), enabled=False)
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createpoly = action(getStr('creatPolygon'), self.createPolygon,
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'p', 'new', 'Creat Polygon', enabled=True)
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'q', 'new', 'Creat Polygon', enabled=True)
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saveRec = action(getStr('saveRec'), self.saveRecResult,
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'', 'save', getStr('saveRec'), enabled=False)
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@ -501,9 +490,6 @@ class MainWindow(QMainWindow, WindowMixin):
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icon='color', tip=getStr('shapeFillColorDetail'),
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enabled=False)
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# labels = self.dock.toggleViewAction()
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# labels.setText(getStr('showHide'))
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# labels.setShortcut('Ctrl+Shift+L')
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# Label list context menu.
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labelMenu = QMenu()
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@ -515,7 +501,6 @@ class MainWindow(QMainWindow, WindowMixin):
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# Draw squares/rectangles
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self.drawSquaresOption = QAction(getStr('drawSquares'), self)
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self.drawSquaresOption.setShortcut('Ctrl+Shift+R')
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self.drawSquaresOption.setCheckable(True)
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self.drawSquaresOption.setChecked(settings.get(SETTING_DRAW_SQUARE, False))
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self.drawSquaresOption.triggered.connect(self.toogleDrawSquare)
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@ -523,7 +508,7 @@ class MainWindow(QMainWindow, WindowMixin):
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# Store actions for further handling.
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self.actions = struct(save=save, open=open, resetAll=resetAll, deleteImg=deleteImg,
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lineColor=color1, create=create, delete=delete, edit=edit, copy=copy,
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saveRec=saveRec,
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saveRec=saveRec, singleRere=singleRere,AutoRec=AutoRec,reRec=reRec,
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createMode=createMode, editMode=editMode,
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shapeLineColor=shapeLineColor, shapeFillColor=shapeFillColor,
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zoom=zoom, zoomIn=zoomIn, zoomOut=zoomOut, zoomOrg=zoomOrg,
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@ -532,9 +517,9 @@ class MainWindow(QMainWindow, WindowMixin):
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fileMenuActions=(
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open, opendir, saveLabel, resetAll, quit),
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beginner=(), advanced=(),
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editMenu=(createpoly, edit, copy, delete,
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editMenu=(createpoly, edit, copy, delete,singleRere,
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None, color1, self.drawSquaresOption),
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beginnerContext=(create, edit, copy, delete),
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beginnerContext=(create, edit, copy, delete, singleRere),
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advancedContext=(createMode, editMode, edit, copy,
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delete, shapeLineColor, shapeFillColor),
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onLoadActive=(
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@ -576,7 +561,7 @@ class MainWindow(QMainWindow, WindowMixin):
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zoomIn, zoomOut, zoomOrg, None,
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fitWindow, fitWidth))
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addActions(self.menus.autolabel, (alcm, None, help)) #
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addActions(self.menus.autolabel, (AutoRec, reRec, alcm, None, help)) #
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self.menus.file.aboutToShow.connect(self.updateFileMenu)
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@ -586,16 +571,6 @@ class MainWindow(QMainWindow, WindowMixin):
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action('&Copy here', self.copyShape),
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action('&Move here', self.moveShape)))
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# self.tools = self.toolbar('Tools')
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# self.actions.beginner = (
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# open, opendir, openNextImg, openPrevImg, verify, save, None, create, copy, delete, None,
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# zoomIn, zoom, zoomOut, fitWindow, fitWidth)
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#
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# self.actions.advanced = (
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# open, opendir, openNextImg, openPrevImg, save, None,
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# createMode, editMode, None,
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# hideAll, showAll)
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self.statusBar().showMessage('%s started.' % __appname__)
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self.statusBar().show()
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@ -944,6 +919,7 @@ class MainWindow(QMainWindow, WindowMixin):
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self.actions.edit.setEnabled(selected)
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self.actions.shapeLineColor.setEnabled(selected)
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self.actions.shapeFillColor.setEnabled(selected)
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self.actions.singleRere.setEnabled(selected)
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def addLabel(self, shape):
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shape.paintLabel = self.displayLabelOption.isChecked()
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@ -1013,6 +989,19 @@ class MainWindow(QMainWindow, WindowMixin):
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self.updateComboBox()
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self.canvas.loadShapes(s)
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def singleLabel(self, shape):
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if shape is None:
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# print('rm empty label')
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return
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item = self.shapesToItems[shape]
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item.setText(shape.label)
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self.updateComboBox()
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# ADD:
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item = self.shapesToItemsbox[shape]
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item.setText(str([(int(p.x()), int(p.y())) for p in shape.points]))
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self.updateComboBox()
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def updateComboBox(self):
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# Get the unique labels and add them to the Combobox.
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itemsTextList = [str(self.labelList.item(i).text()) for i in range(self.labelList.count())]
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@ -1466,6 +1455,8 @@ class MainWindow(QMainWindow, WindowMixin):
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self.haveAutoReced = False
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self.AutoRecognition.setEnabled(True)
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self.reRecogButton.setEnabled(True)
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self.actions.AutoRec.setEnabled(True)
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self.actions.reRec.setEnabled(True)
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self.actions.saveLabel.setEnabled(True)
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@ -1780,6 +1771,7 @@ class MainWindow(QMainWindow, WindowMixin):
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self.loadFile(self.filePath) # ADD
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self.haveAutoReced = True
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self.AutoRecognition.setEnabled(False)
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self.actions.AutoRec.setEnabled(False)
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self.setDirty()
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self.saveCacheLabel()
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@ -1819,6 +1811,27 @@ class MainWindow(QMainWindow, WindowMixin):
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else:
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QMessageBox.information(self, "Information", "Draw a box!")
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def singleRerecognition(self):
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img = cv2.imread(self.filePath)
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shape = self.canvas.selectedShape
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box = [[int(p.x()), int(p.y())] for p in shape.points]
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assert len(box) == 4
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img_crop = get_rotate_crop_image(img, np.array(box, np.float32))
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if img_crop is None:
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msg = 'Can not recognise the detection box in ' + self.filePath + '. Please change manually'
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QMessageBox.information(self, "Information", msg)
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return
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result = self.ocr.ocr(img_crop, cls=True, det=False)
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if result[0][0] is not '':
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result.insert(0, box)
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print('result in reRec is ', result)
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if result[1][0] == shape.label:
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print('label no change')
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else:
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shape.label = result[1][0]
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self.singleLabel(shape)
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self.setDirty()
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print(box)
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def autolcm(self):
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vbox = QVBoxLayout()
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@ -1850,6 +1863,7 @@ class MainWindow(QMainWindow, WindowMixin):
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self.dialog.exec_()
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if self.filePath:
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self.AutoRecognition.setEnabled(True)
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self.actions.AutoRec.setEnabled(True)
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def modelChoose(self):
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@ -1,9 +1,15 @@
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[English](README.md) | 简体中文
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# PPOCRLabel
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PPOCRLabel是一款适用于OCR领域的半自动化图形标注工具，使用python3和pyqt5编写，支持矩形框标注和四点标注模式，导出格式可直接用于PPOCR检测和识别模型的训练。
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<img src="./data/gif/steps.gif" width="100%"/>
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#### 近期更新
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- 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。
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## 安装
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### 1. 安装PaddleOCR
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@ -43,7 +49,7 @@ python3 PPOCRLabel.py --lang ch
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1. 安装与运行：使用上述命令安装与运行程序。
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2. 打开文件夹：在菜单栏点击 “文件” - "打开目录" 选择待标记图片的文件夹<sup>[1]</sup>.
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3. 自动标注：点击 ”自动标注“，使用PPOCR超轻量模型对图片文件名前图片状态<sup>[2]</sup>为 “X” 的图片进行自动标注。
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4. 手动标注：点击 “矩形标注”（推荐直接在英文模式下点击键盘中的 “W”)，用户可对当前图片中模型未检出的部分进行手动绘制标记框。点击键盘P，则使用四点标注模式（或点击“编辑” - “四点标注”），用户依次点击4个点后，双击左键表示标注完成。
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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。
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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。
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6. 重新识别：将图片中的所有检测画绘制/调整完成后，点击 “重新识别”，PPOCR模型会对当前图片中的**所有检测框**重新识别<sup>[3]</sup>。
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7. 内容更改：双击识别结果，对不准确的识别结果进行手动更改。
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@ -70,6 +76,26 @@ python3 PPOCRLabel.py --lang ch
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| 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。 |
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## 说明
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### 快捷键
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| 快捷键 | 说明 |
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| ---------------- | ---------------------------- |
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| Ctrl + shift + A | 自动标注所有未确认过的图片 |
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| Ctrl + shift + R | 对当前图片的所有标记重新识别 |
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| W | 新建矩形框 |
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| Q | 新建四点框 |
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| Ctrl + E | 编辑所选框标签 |
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| Ctrl + R | 重新识别所选标记 |
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| Backspace | 删除所选框 |
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| Ctrl + V | 确认本张图片标记 |
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| Ctrl + Shift + d | 删除本张图片 |
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| D | 下一张图片 |
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| A | 上一张图片 |
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| Ctrl++ | 缩小 |
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| Ctrl-- | 放大 |
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| ↑→↓← | 移动标记框 |
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### 内置模型
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- 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。
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@ -86,15 +112,23 @@ python3 PPOCRLabel.py --lang ch
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### 错误提示
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- 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。
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- PPOCRLabel**不支持对中文文件名**的图片进行自动标注。
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- 对于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：
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```
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pip install opencv-python==4.2.0.32
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```
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- 如果出现''Missing string id '开头的错误，需要重新编译资源：
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```
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||||
pyrcc5 -o libs/resources.py resources.qrc
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```
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- 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
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||||
```
|
||||
|
||||
- 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
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```
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||||
- 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headless版本的opencv
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```
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pip install opencv-contrib-python-headless
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```
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### 参考资料
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1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg)
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|
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@ -1,9 +1,15 @@
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English | [简体中文](README_ch.md)
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# PPOCRLabel
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PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models.
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<img src="./data/gif/steps_en.gif" width="100%"/>
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### Recent Update
|
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- 2020.12.18: Support re-recognition of a single label box (by [ninetailskim](https://github.com/ninetailskim) ), perfect shortcut keys.
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## Installation
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||||
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### 1. Install PaddleOCR
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@ -54,7 +60,7 @@ python3 PPOCRLabel.py
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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.
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||||
4.2 Press 'P' to enter four-point labeling mode which enables you to create any four-point shape by clicking four points with the left mouse button in succession and DOUBLE CLICK the left mouse as the signal of labeling completion.
|
||||
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.
|
||||
|
||||
|
|
@ -90,6 +96,25 @@ Therefore, if the recognition result has been manually changed before, it may ch
|
|||
|
||||
## Explanation
|
||||
|
||||
### Shortcut keys
|
||||
|
||||
| Shortcut keys | Description |
|
||||
| ---------------- | ------------------------------------------------ |
|
||||
| Ctrl + shift + A | Automatically label all unchecked images |
|
||||
| Ctrl + shift + R | Re-recognize all the labels of the current image |
|
||||
| W | Create a rect box |
|
||||
| Q | Create a four-points box |
|
||||
| Ctrl + E | Edit label of the selected box |
|
||||
| Ctrl + R | Re-recognize the selected 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 |
|
||||
|
||||
### 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.
|
||||
|
|
@ -111,13 +136,18 @@ For some data that are difficult to recognize, the recognition results will not
|
|||
|
||||
- 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
|
||||
```
|
||||
```
|
||||
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
|
||||
```
|
||||
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 headless version of opencv
|
||||
```
|
||||
pip install opencv-contrib-python-headless
|
||||
```
|
||||
|
||||
### Related
|
||||
|
||||
1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg)
|
||||
|
|
|
|||
Binary file not shown.
|
Before Width: | Height: | Size: 3.9 MiB After Width: | Height: | Size: 4.8 MiB |
|
|
@ -46,9 +46,10 @@ class Worker(QThread):
|
|||
chars = res[1][0]
|
||||
cond = res[1][1]
|
||||
posi = res[0]
|
||||
strs += "Transcription: " + chars + " Probability: " + str(cond) + " Location: " + json.dumps(posi)
|
||||
strs += "Transcription: " + chars + " Probability: " + str(cond) + \
|
||||
" Location: " + json.dumps(posi) +'\n'
|
||||
# Sending large amounts of data repeatedly through pyqtSignal may affect the program efficiency
|
||||
# self.listValue.emit(strs) # It is better to remove this line
|
||||
self.listValue.emit(strs)
|
||||
self.mainThread.result_dic = self.result_dic
|
||||
self.mainThread.filePath = Imgpath
|
||||
# 保存
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load Diff
|
|
@ -94,4 +94,5 @@ ok=确认
|
|||
autolabeling=自动标注中
|
||||
hideBox=隐藏所有标注
|
||||
showBox=显示所有标注
|
||||
saveLabel=保存标记结果
|
||||
saveLabel=保存标记结果
|
||||
singleRe=重识别此区块
|
||||
|
|
@ -94,4 +94,5 @@ ok=OK
|
|||
autolabeling=Automatic Labeling
|
||||
hideBox=Hide All Box
|
||||
showBox=Show All Box
|
||||
saveLabel=Save Label
|
||||
saveLabel=Save Label
|
||||
singleRe=Re-recognition RectBox
|
||||
Loading…
Reference in New Issue