Merge pull request #1514 from Evezerest/dy3

Add single box re-recognition function and perfect shortcut keys
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dyning 2020-12-19 11:33:28 +08:00 committed by GitHub
commit 011104e09f
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9 changed files with 4941 additions and 4916 deletions

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@ -274,6 +274,7 @@ class MainWindow(QMainWindow, WindowMixin):
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)
@ -289,12 +290,12 @@ class MainWindow(QMainWindow, WindowMixin):
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)
# self.setLayout(hlayout)
iconListContainer = QWidget()
iconListContainer.setLayout(hlayout)
@ -359,11 +360,6 @@ class MainWindow(QMainWindow, WindowMixin):
opendir = action(getStr('openDir'), self.openDirDialog,
'Ctrl+u', 'open', getStr('openDir'))
openNextImg = action(getStr('nextImg'), self.openNextImg,
'd', 'next', getStr('nextImgDetail'))
openPrevImg = action(getStr('prevImg'), self.openPrevImg,
'a', 'prev', getStr('prevImgDetail'))
save = action(getStr('save'), self.saveFile,
'Ctrl+V', 'verify', getStr('saveDetail'), enabled=False)
@ -371,7 +367,7 @@ class MainWindow(QMainWindow, WindowMixin):
alcm = action(getStr('choosemodel'), self.autolcm,
'Ctrl+M', 'next', getStr('tipchoosemodel'))
deleteImg = action(getStr('deleteImg'), self.deleteImg, 'Ctrl+D', 'close', getStr('deleteImgDetail'),
deleteImg = action(getStr('deleteImg'), self.deleteImg, 'Ctrl+Shift+D', 'close', getStr('deleteImgDetail'),
enabled=True)
resetAll = action(getStr('resetAll'), self.resetAll, None, 'resetall', getStr('resetAllDetail'))
@ -388,7 +384,7 @@ class MainWindow(QMainWindow, WindowMixin):
'w', 'new', getStr('crtBoxDetail'), enabled=False)
delete = action(getStr('delBox'), self.deleteSelectedShape,
'Delete', 'delete', getStr('delBoxDetail'), enabled=False)
'backspace', 'delete', getStr('delBoxDetail'), enabled=False)
copy = action(getStr('dupBox'), self.copySelectedShape,
'Ctrl+C', 'copy', getStr('dupBoxDetail'),
enabled=False)
@ -446,8 +442,11 @@ class MainWindow(QMainWindow, WindowMixin):
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,
'p', 'new', 'Creat Polygon', enabled=True)
'q', 'new', 'Creat Polygon', enabled=True)
saveRec = action(getStr('saveRec'), self.saveRecResult,
'', 'save', getStr('saveRec'), enabled=False)
@ -491,6 +490,7 @@ class MainWindow(QMainWindow, WindowMixin):
icon='color', tip=getStr('shapeFillColorDetail'),
enabled=False)
# Label list context menu.
labelMenu = QMenu()
addActions(labelMenu, (edit, delete))
@ -501,7 +501,6 @@ class MainWindow(QMainWindow, WindowMixin):
# Draw squares/rectangles
self.drawSquaresOption = QAction(getStr('drawSquares'), self)
self.drawSquaresOption.setShortcut('Ctrl+Shift+R')
self.drawSquaresOption.setCheckable(True)
self.drawSquaresOption.setChecked(settings.get(SETTING_DRAW_SQUARE, False))
self.drawSquaresOption.triggered.connect(self.toogleDrawSquare)
@ -509,7 +508,7 @@ class MainWindow(QMainWindow, WindowMixin):
# Store actions for further handling.
self.actions = struct(save=save, open=open, resetAll=resetAll, deleteImg=deleteImg,
lineColor=color1, create=create, delete=delete, edit=edit, copy=copy,
saveRec=saveRec,
saveRec=saveRec, singleRere=singleRere,AutoRec=AutoRec,reRec=reRec,
createMode=createMode, editMode=editMode,
shapeLineColor=shapeLineColor, shapeFillColor=shapeFillColor,
zoom=zoom, zoomIn=zoomIn, zoomOut=zoomOut, zoomOrg=zoomOrg,
@ -518,9 +517,9 @@ class MainWindow(QMainWindow, WindowMixin):
fileMenuActions=(
open, opendir, saveLabel, resetAll, quit),
beginner=(), advanced=(),
editMenu=(createpoly, edit, copy, delete,
editMenu=(createpoly, edit, copy, delete,singleRere,
None, color1, self.drawSquaresOption),
beginnerContext=(create, edit, copy, delete),
beginnerContext=(create, edit, copy, delete, singleRere),
advancedContext=(createMode, editMode, edit, copy,
delete, shapeLineColor, shapeFillColor),
onLoadActive=(
@ -562,7 +561,7 @@ class MainWindow(QMainWindow, WindowMixin):
zoomIn, zoomOut, zoomOrg, None,
fitWindow, fitWidth))
addActions(self.menus.autolabel, (alcm, None, help)) #
addActions(self.menus.autolabel, (AutoRec, reRec, alcm, None, help)) #
self.menus.file.aboutToShow.connect(self.updateFileMenu)
@ -572,6 +571,7 @@ class MainWindow(QMainWindow, WindowMixin):
action('&Copy here', self.copyShape),
action('&Move here', self.moveShape)))
self.statusBar().showMessage('%s started.' % __appname__)
self.statusBar().show()
@ -919,6 +919,7 @@ class MainWindow(QMainWindow, WindowMixin):
self.actions.edit.setEnabled(selected)
self.actions.shapeLineColor.setEnabled(selected)
self.actions.shapeFillColor.setEnabled(selected)
self.actions.singleRere.setEnabled(selected)
def addLabel(self, shape):
shape.paintLabel = self.displayLabelOption.isChecked()
@ -988,6 +989,19 @@ class MainWindow(QMainWindow, WindowMixin):
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())]
@ -1441,6 +1455,8 @@ class MainWindow(QMainWindow, WindowMixin):
self.haveAutoReced = False
self.AutoRecognition.setEnabled(True)
self.reRecogButton.setEnabled(True)
self.actions.AutoRec.setEnabled(True)
self.actions.reRec.setEnabled(True)
self.actions.saveLabel.setEnabled(True)
@ -1755,6 +1771,7 @@ class MainWindow(QMainWindow, WindowMixin):
self.loadFile(self.filePath) # ADD
self.haveAutoReced = True
self.AutoRecognition.setEnabled(False)
self.actions.AutoRec.setEnabled(False)
self.setDirty()
self.saveCacheLabel()
@ -1794,6 +1811,27 @@ class MainWindow(QMainWindow, WindowMixin):
else:
QMessageBox.information(self, "Information", "Draw a box!")
def singleRerecognition(self):
img = cv2.imread(self.filePath)
shape = self.canvas.selectedShape
box = [[int(p.x()), int(p.y())] for p in shape.points]
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)
if result[0][0] is not '':
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]
self.singleLabel(shape)
self.setDirty()
print(box)
def autolcm(self):
vbox = QVBoxLayout()
@ -1825,6 +1863,7 @@ class MainWindow(QMainWindow, WindowMixin):
self.dialog.exec_()
if self.filePath:
self.AutoRecognition.setEnabled(True)
self.actions.AutoRec.setEnabled(True)
def modelChoose(self):

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@ -6,6 +6,10 @@ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field. I
<img src="./data/gif/steps_en.gif" width="100%"/>
### Recent Update
- 2020.12.18: Support re-recognition of a single label box (by [ninetailskim](https://github.com/ninetailskim) ), perfect shortcut keys.
## Installation
### 1. Install PaddleOCR
@ -92,11 +96,30 @@ 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.
- Model language switching: Changing the built-in model language is supportable by clicking "PaddleOCR"-"Choose OCR Model" in the menu bar. Currently supported languagesinclude French, German, Korean, and Japanese.
- Model language switching: Changing the built-in model language is supportable by clicking "PaddleOCR"-"Choose OCR Model" in the menu bar. Currently supported languagesinclude French, German, Korean, and Japanese.
For specific model download links, please refer to [PaddleOCR Model List](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md#multilingual-recognition-modelupdating)
- Custom model: The model trained by users can be replaced by modifying PPOCRLabel.py in [PaddleOCR class instantiation](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/PPOCRLabel/PPOCRLabel.py#L110) referring [Custom Model Code](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/whl_en.md#use-custom-model)

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@ -6,6 +6,10 @@ PPOCRLabel是一款适用于OCR领域的半自动化图形标注工具使用p
<img src="./data/gif/steps.gif" width="100%"/>
#### 近期更新
- 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。
## 安装
### 1. 安装PaddleOCR
@ -72,6 +76,26 @@ python3 PPOCRLabel.py --lang ch
| 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。 |
## 说明
### 快捷键
| 快捷键 | 说明 |
| ---------------- | ---------------------------- |
| Ctrl + shift + A | 自动标注所有未确认过的图片 |
| Ctrl + shift + R | 对当前图片的所有标记重新识别 |
| W | 新建矩形框 |
| Q | 新建四点框 |
| Ctrl + E | 编辑所选框标签 |
| Ctrl + R | 重新识别所选标记 |
| 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 |
### 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。

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@ -46,8 +46,9 @@ class Worker(QThread):
chars = res[1][0]
cond = res[1][1]
posi = res[0]
strs += "Transcription: " + chars + " Probability: " + str(
cond) + " Location: " + json.dumps(posi) + '\n'
strs += "Transcription: " + chars + " Probability: " + str(cond) + \
" Location: " + json.dumps(posi) +'\n'
# Sending large amounts of data repeatedly through pyqtSignal may affect the program efficiency
self.listValue.emit(strs)
self.mainThread.result_dic = self.result_dic
self.mainThread.filePath = Imgpath

File diff suppressed because it is too large Load Diff

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@ -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

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@ -1,70 +0,0 @@
saveAsDetail=將標籤保存到其他文件
changeSaveDir=改變存放目錄
openFile=開啟檔案
shapeLineColorDetail=更改線條顏色
resetAll=重置
crtBox=創建區塊
crtBoxDetail=畫一個區塊
dupBoxDetail=複製區塊
verifyImg=驗證圖像
zoominDetail=放大
verifyImgDetail=驗證圖像
saveDetail=將標籤存到
openFileDetail=打開圖像
fitWidthDetail=調整到窗口寬度
tutorial=YouTube教學
editLabel=編輯標籤
openAnnotationDetail=打開標籤文件
quit=結束
shapeFillColorDetail=更改填充顏色
closeCurDetail=關閉目前檔案
closeCur=關閉
deleteImg=刪除圖像
deleteImgDetail=刪除目前圖像
fitWin=調整到跟窗口一樣大小
delBox=刪除選取區塊
boxLineColorDetail=選擇框線顏色
originalsize=原始大小
resetAllDetail=重設所有設定
zoomoutDetail=畫面放大
save=儲存
saveAs=另存為
fitWinDetail=縮放到窗口一樣
openDir=開啟目錄
copyPrevBounding=複製當前圖像中的上一個邊界框
showHide=顯示/隱藏標籤
changeSaveFormat=更改儲存格式
shapeFillColor=填充顏色
quitApp=離開本程式
dupBox=複製區塊
delBoxDetail=刪除區塊
zoomin=放大畫面
info=資訊
openAnnotation=開啟標籤
prevImgDetail=上一個圖像
fitWidth=縮放到跟畫面一樣寬
zoomout=縮小畫面
changeSavedAnnotationDir=更改預設標籤存的目錄
nextImgDetail=下一個圖像
originalsizeDetail=放大到原始大小
prevImg=上一個圖像
tutorialDetail=顯示示範內容
shapeLineColor=形狀線條顏色
boxLineColor=日期分隔線顏色
editLabelDetail=修改所選區塊的標籤
nextImg=下一張圖片
useDefaultLabel=使用預設標籤
useDifficult=有難度的
boxLabelText=區塊的標籤
labels=標籤
autoSaveMode=自動儲存模式
singleClsMode=單一類別模式
displayLabel=顯示類別
fileList=檔案清單
files=檔案
iconList=XX
icon=XX
advancedMode=進階模式
advancedModeDetail=切到進階模式
showAllBoxDetail=顯示所有區塊
hideAllBoxDetail=隱藏所有區塊

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@ -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

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@ -78,6 +78,7 @@ python3 tools/synth_image.py -c configs/config.yml --style_image examples/style_
* Note 3: You can modify `use_gpu` in `configs/config.yml` to determine whether to use GPU for prediction.
For example, enter the following image and corpus `PaddleOCR`.
<div align="center">
@ -123,7 +124,7 @@ In actual application scenarios, it is often necessary to synthesize pictures in
* `corpus_file`: Filepath of the corpus. Corpus file should be a text file which will be split by line-endings'\n'. Corpus generator samples one line each time.
Example of corpus file:
Example of corpus file:
```
PaddleOCR
飞桨文字识别
@ -142,6 +143,7 @@ We provide a general dataset containing Chinese, English and Korean (50,000 imag
``` bash
python3 tools/synth_dataset.py -c configs/dataset_config.yml
```
We also provide example corpus and images in `examples` folder.
<div align="center">
<img src="examples/style_images/1.jpg" width="300">