Delete redundancy codes and add save label in menu

PPOCRLabel/PPOCRLabel.py

@@ -61,7 +61,6 @@ from libs.zoomWidget import ZoomWidget
 from libs.autoDialog import AutoDialog
 from libs.labelDialog import LabelDialog
 from libs.colorDialog import ColorDialog
-from libs.labelFile import LabelFile, LabelFileError
 from libs.toolBar import ToolBar
 from libs.ustr import ustr
 from libs.hashableQListWidgetItem import HashableQListWidgetItem
@@ -373,9 +372,6 @@ class MainWindow(QMainWindow, WindowMixin):
         openPrevImg = action(getStr('prevImg'), self.openPrevImg,
                              'a', 'prev', getStr('prevImgDetail'))
 
-        # verify = action(getStr('verifyImg'), self.verifyImg,
-        #                 'space', 'verify', getStr('verifyImgDetail'))
-
         save = action(getStr('save'), self.saveFile,
                       'Ctrl+S', 'verify', getStr('saveDetail'), enabled=False)
 
@@ -461,10 +457,10 @@ class MainWindow(QMainWindow, WindowMixin):
                             'p', 'new', 'Creat Polygon', enabled=True)
 
         saveRec = action(getStr('saveRec'), self.saveRecResult,
-                            '', 'saveRec', getStr('saveRec'), enabled=False)
+                            '', 'save', getStr('saveRec'), enabled=False)
 
         saveLabel = action(getStr('saveLabel'), self.saveLabelFile, #
-                            '', 'save', getStr('saveLabel'), enabled=False)
+                            'Ctrl+S', 'save', getStr('saveLabel'), enabled=False)
 
         self.editButton.setDefaultAction(edit)
         self.newButton.setDefaultAction(create)
@@ -1028,9 +1024,6 @@ class MainWindow(QMainWindow, WindowMixin):
     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)
-        if self.labelFile is None:
-            self.labelFile = LabelFile()
-            self.labelFile.verified = self.canvas.verified
 
         def format_shape(s):
             # print('s in saveLabels is ',s)
@@ -1065,8 +1058,8 @@ class MainWindow(QMainWindow, WindowMixin):
             #                         self.lineColor.getRgb(), self.fillColor.getRgb())
             # print('Image:{0} -> Annotation:{1}'.format(self.filePath, annotationFilePath))
             return True
-        except LabelFileError as e:
-            self.errorMessage(u'Error saving label data', u'<b>%s</b>' % e)
+        except:
+            self.errorMessage(u'Error saving label data')
             return False
 
     def copySelectedShape(self):
@@ -1258,26 +1251,8 @@ class MainWindow(QMainWindow, WindowMixin):
         #     if unicodeFilePath in self.mImgList:
                 
         if unicodeFilePath and os.path.exists(unicodeFilePath):
-            if LabelFile.isLabelFile(unicodeFilePath):
-                try:
-                    self.labelFile = LabelFile(unicodeFilePath)
-                except LabelFileError as e:
-                    self.errorMessage(u'Error opening file',
-                                      (u"<p><b>%s</b></p>"
-                                       u"<p>Make sure <i>%s</i> is a valid label file.")
-                                      % (e, unicodeFilePath))
-                    self.status("Error reading %s" % unicodeFilePath)
-                    return False
-                self.imageData = self.labelFile.imageData
-                self.lineColor = QColor(*self.labelFile.lineColor)
-                self.fillColor = QColor(*self.labelFile.fillColor)
-                self.canvas.verified = self.labelFile.verified
-            else:
-                # Load image:
-                # read data first and store for saving into label file.
-                self.imageData = read(unicodeFilePath, None)
-                self.labelFile = None
-                self.canvas.verified = False
+            self.imageData = read(unicodeFilePath, None)
+            self.canvas.verified = False
 
             image = QImage.fromData(self.imageData)
             if image.isNull():
@@ -1289,8 +1264,7 @@ class MainWindow(QMainWindow, WindowMixin):
             self.image = image
             self.filePath = unicodeFilePath
             self.canvas.loadPixmap(QPixmap.fromImage(image))
-            if self.labelFile:
-                self.loadLabels(self.labelFile.shapes)
+
             if self.validFilestate(filePath) is True:
                 self.setClean()
             else:
@@ -1491,23 +1465,6 @@ class MainWindow(QMainWindow, WindowMixin):
         self.reRecogButton.setEnabled(True)
         self.actions.saveLabel.setEnabled(True)
 
-    def verifyImg(self, _value=False):
-        # Proceding next image without dialog if having any label
-        if self.filePath is not None:
-            try:
-                self.labelFile.toggleVerify()
-            except AttributeError:
-                # If the labelling file does not exist yet, create if and
-                # re-save it with the verified attribute.
-                self.saveFile()
-                if self.labelFile != None:
-                    self.labelFile.toggleVerify()
-                else:
-                    return
-
-            self.canvas.verified = self.labelFile.verified
-            self.paintCanvas()
-            self.saveFile()
 
     def openPrevImg(self, _value=False):
         if len(self.mImgList) <= 0:
@@ -1580,18 +1537,10 @@ class MainWindow(QMainWindow, WindowMixin):
 
     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.defaultSaveDir is not None and len(ustr(self.defaultSaveDir)):
-            if self.filePath:
-                imgidx = self.getImglabelidx(self.filePath)
-                self._saveFile(imgidx, mode=mode)
+        if self.filePath:
+            imgidx = self.getImglabelidx(self.filePath)
+            self._saveFile(imgidx, mode=mode)
 
-        else:
-            imgFileDir = os.path.dirname(self.filePath)
-            imgFileName = os.path.basename(self.filePath)
-            savedFileName = os.path.splitext(imgFileName)[0]
-            savedPath = os.path.join(imgFileDir, savedFileName)
-            self._saveFile(savedPath if self.labelFile
-                           else self.saveFileDialog(removeExt=False), mode=mode)
 
     def saveFileAs(self, _value=False):
         assert not self.image.isNull(), "cannot save empty image"

PPOCRLabel/README.md

@@ -87,7 +87,7 @@ python3 PPOCRLabel.py --lang ch
 ### 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。
-- 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：
+- 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
 	```

PPOCRLabel/README_en.md

@@ -109,7 +109,7 @@ For some data that are difficult to recognize, the recognition results will not
 
 - 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.
 
-- 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:
+- 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

PPOCRLabel/libs/labelFile.py

-# Copyright (c) 2016 Tzutalin
-# Create by TzuTaLin <tzu.ta.lin@gmail.com>
-
-try:
-    from PyQt5.QtGui import QImage
-except ImportError:
-    from PyQt4.QtGui import QImage
-
-from base64 import b64encode, b64decode
-from libs.pascal_voc_io import PascalVocWriter
-from libs.yolo_io import YOLOWriter
-from libs.pascal_voc_io import XML_EXT
-from enum import Enum
-import os.path
-import sys
-
-
-class LabelFileFormat(Enum):
-    PASCAL_VOC= 1
-    YOLO = 2
-
-
-class LabelFileError(Exception):
-    pass
-
-
-class LabelFile(object):
-    # It might be changed as window creates. By default, using XML ext
-    # suffix = '.lif'
-    suffix = XML_EXT
-
-    def __init__(self, filename=None):
-        self.shapes = ()
-        self.imagePath = None
-        self.imageData = None
-        self.verified = False
-
-    def savePascalVocFormat(self, filename, shapes, imagePath, imageData,
-                            lineColor=None, fillColor=None, databaseSrc=None):
-        imgFolderPath = os.path.dirname(imagePath)
-        imgFolderName = os.path.split(imgFolderPath)[-1]
-        imgFileName = os.path.basename(imagePath)
-        #imgFileNameWithoutExt = os.path.splitext(imgFileName)[0]
-        # Read from file path because self.imageData might be empty if saving to
-        # Pascal format
-        image = QImage()
-        image.load(imagePath)
-        imageShape = [image.height(), image.width(),
-                      1 if image.isGrayscale() else 3]
-        writer = PascalVocWriter(imgFolderName, imgFileName,
-                                 imageShape, localImgPath=imagePath)
-        writer.verified = self.verified
-
-        for shape in shapes:
-            points = shape['points']
-            label = shape['label']
-            # Add Chris
-            difficult = int(shape['difficult'])
-            bndbox = LabelFile.convertPoints2BndBox(points)
-            writer.addBndBox(bndbox[0], bndbox[1], bndbox[2], bndbox[3], label, difficult)
-
-        writer.save(targetFile=filename)
-        return
-
-    def saveYoloFormat(self, filename, shapes, imagePath, imageData, classList,
-                            lineColor=None, fillColor=None, databaseSrc=None):
-        imgFolderPath = os.path.dirname(imagePath)
-        imgFolderName = os.path.split(imgFolderPath)[-1]
-        imgFileName = os.path.basename(imagePath)
-        #imgFileNameWithoutExt = os.path.splitext(imgFileName)[0]
-        # Read from file path because self.imageData might be empty if saving to
-        # Pascal format
-        image = QImage()
-        image.load(imagePath)
-        imageShape = [image.height(), image.width(),
-                      1 if image.isGrayscale() else 3]
-        writer = YOLOWriter(imgFolderName, imgFileName,
-                                 imageShape, localImgPath=imagePath)
-        writer.verified = self.verified
-
-        for shape in shapes:
-            points = shape['points']
-            label = shape['label']
-            # Add Chris
-            difficult = int(shape['difficult'])
-            bndbox = LabelFile.convertPoints2BndBox(points)
-            writer.addBndBox(bndbox[0], bndbox[1], bndbox[2], bndbox[3], label, difficult)
-
-        writer.save(targetFile=filename, classList=classList)
-        return
-
-    def toggleVerify(self):
-        self.verified = not self.verified
-
-    ''' ttf is disable
-    def load(self, filename):
-        import json
-        with open(filename, 'rb') as f:
-                data = json.load(f)
-                imagePath = data['imagePath']
-                imageData = b64decode(data['imageData'])
-                lineColor = data['lineColor']
-                fillColor = data['fillColor']
-                shapes = ((s['label'], s['points'], s['line_color'], s['fill_color'])\
-                        for s in data['shapes'])
-                # Only replace data after everything is loaded.
-                self.shapes = shapes
-                self.imagePath = imagePath
-                self.imageData = imageData
-                self.lineColor = lineColor
-                self.fillColor = fillColor
-
-    def save(self, filename, shapes, imagePath, imageData, lineColor=None, fillColor=None):
-        import json
-        with open(filename, 'wb') as f:
-                json.dump(dict(
-                    shapes=shapes,
-                    lineColor=lineColor, fillColor=fillColor,
-                    imagePath=imagePath,
-                    imageData=b64encode(imageData)),
-                    f, ensure_ascii=True, indent=2)
-    '''
-
-    @staticmethod
-    def isLabelFile(filename):
-        fileSuffix = os.path.splitext(filename)[1].lower()
-        return fileSuffix == LabelFile.suffix
-
-    @staticmethod
-    def convertPoints2BndBox(points):
-        xmin = float('inf')
-        ymin = float('inf')
-        xmax = float('-inf')
-        ymax = float('-inf')
-        for p in points:
-            x = p[0]
-            y = p[1]
-            xmin = min(x, xmin)
-            ymin = min(y, ymin)
-            xmax = max(x, xmax)
-            ymax = max(y, ymax)
-
-        # Martin Kersner, 2015/11/12
-        # 0-valued coordinates of BB caused an error while
-        # training faster-rcnn object detector.
-        if xmin < 1:
-            xmin = 1
-
-        if ymin < 1:
-            ymin = 1
-
-        return (int(xmin), int(ymin), int(xmax), int(ymax))

PPOCRLabel/libs/pascal_voc_io.py

-# Copyright (c) <2015-Present> Tzutalin
-# Copyright (C) 2013  MIT, Computer Science and Artificial Intelligence Laboratory. Bryan Russell, Antonio Torralba,
-# William T. Freeman. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
-# associated documentation files (the "Software"), to deal in the Software without restriction, including without
-# limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
-# Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-# The above copyright notice and this permission notice shall be included in all copies or substantial portions of
-# the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
-# NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
-# SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
-# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-# THE SOFTWARE.
-#!/usr/bin/env python
-# -*- coding: utf8 -*-
-import sys
-from xml.etree import ElementTree
-from xml.etree.ElementTree import Element, SubElement
-from lxml import etree
-import codecs
-from libs.constants import DEFAULT_ENCODING
-from libs.ustr import ustr
-
-
-XML_EXT = '.xml'
-ENCODE_METHOD = DEFAULT_ENCODING
-
-class PascalVocWriter:
-
-    def __init__(self, foldername, filename, imgSize,databaseSrc='Unknown', localImgPath=None):
-        self.foldername = foldername
-        self.filename = filename
-        self.databaseSrc = databaseSrc
-        self.imgSize = imgSize
-        self.boxlist = []
-        self.localImgPath = localImgPath
-        self.verified = False
-
-    def prettify(self, elem):
-        """
-            Return a pretty-printed XML string for the Element.
-        """
-        rough_string = ElementTree.tostring(elem, 'utf8')
-        root = etree.fromstring(rough_string)
-        return etree.tostring(root, pretty_print=True, encoding=ENCODE_METHOD).replace("  ".encode(), "\t".encode())
-        # minidom does not support UTF-8
-        '''reparsed = minidom.parseString(rough_string)
-        return reparsed.toprettyxml(indent="\t", encoding=ENCODE_METHOD)'''
-
-    def genXML(self):
-        """
-            Return XML root
-        """
-        # Check conditions
-        if self.filename is None or \
-                self.foldername is None or \
-                self.imgSize is None:
-            return None
-
-        top = Element('annotation')
-        if self.verified:
-            top.set('verified', 'yes')
-
-        folder = SubElement(top, 'folder')
-        folder.text = self.foldername
-
-        filename = SubElement(top, 'filename')
-        filename.text = self.filename
-
-        if self.localImgPath is not None:
-            localImgPath = SubElement(top, 'path')
-            localImgPath.text = self.localImgPath
-
-        source = SubElement(top, 'source')
-        database = SubElement(source, 'database')
-        database.text = self.databaseSrc
-
-        size_part = SubElement(top, 'size')
-        width = SubElement(size_part, 'width')
-        height = SubElement(size_part, 'height')
-        depth = SubElement(size_part, 'depth')
-        width.text = str(self.imgSize[1])
-        height.text = str(self.imgSize[0])
-        if len(self.imgSize) == 3:
-            depth.text = str(self.imgSize[2])
-        else:
-            depth.text = '1'
-
-        segmented = SubElement(top, 'segmented')
-        segmented.text = '0'
-        return top
-
-    def addBndBox(self, xmin, ymin, xmax, ymax, name, difficult):
-        bndbox = {'xmin': xmin, 'ymin': ymin, 'xmax': xmax, 'ymax': ymax}
-        bndbox['name'] = name
-        bndbox['difficult'] = difficult
-        self.boxlist.append(bndbox)
-
-    def appendObjects(self, top):
-        for each_object in self.boxlist:
-            object_item = SubElement(top, 'object')
-            name = SubElement(object_item, 'name')
-            name.text = ustr(each_object['name'])
-            pose = SubElement(object_item, 'pose')
-            pose.text = "Unspecified"
-            truncated = SubElement(object_item, 'truncated')
-            if int(float(each_object['ymax'])) == int(float(self.imgSize[0])) or (int(float(each_object['ymin']))== 1):
-                truncated.text = "1" # max == height or min
-            elif (int(float(each_object['xmax']))==int(float(self.imgSize[1]))) or (int(float(each_object['xmin']))== 1):
-                truncated.text = "1" # max == width or min
-            else:
-                truncated.text = "0"
-            difficult = SubElement(object_item, 'difficult')
-            difficult.text = str( bool(each_object['difficult']) & 1 )
-            bndbox = SubElement(object_item, 'bndbox')
-            xmin = SubElement(bndbox, 'xmin')
-            xmin.text = str(each_object['xmin'])
-            ymin = SubElement(bndbox, 'ymin')
-            ymin.text = str(each_object['ymin'])
-            xmax = SubElement(bndbox, 'xmax')
-            xmax.text = str(each_object['xmax'])
-            ymax = SubElement(bndbox, 'ymax')
-            ymax.text = str(each_object['ymax'])
-
-    def save(self, targetFile=None):
-        root = self.genXML()
-        self.appendObjects(root)
-        out_file = None
-        if targetFile is None:
-            out_file = codecs.open(
-                self.filename + XML_EXT, 'w', encoding=ENCODE_METHOD)
-        else:
-            out_file = codecs.open(targetFile, 'w', encoding=ENCODE_METHOD)
-
-        prettifyResult = self.prettify(root)
-        out_file.write(prettifyResult.decode('utf8'))
-        out_file.close()
-
-
-class PascalVocReader:
-
-    def __init__(self, filepath):
-        # shapes type:
-        # [labbel, [(x1,y1), (x2,y2), (x3,y3), (x4,y4)], color, color, difficult]
-        self.shapes = []
-        self.filepath = filepath
-        self.verified = False
-        try:
-            self.parseXML()
-        except:
-            pass
-
-    def getShapes(self):
-        return self.shapes
-
-    def addShape(self, label, bndbox, difficult):
-        xmin = int(float(bndbox.find('xmin').text))
-        ymin = int(float(bndbox.find('ymin').text))
-        xmax = int(float(bndbox.find('xmax').text))
-        ymax = int(float(bndbox.find('ymax').text))
-        points = [(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax)]
-        self.shapes.append((label, points, None, None, difficult))
-
-    def parseXML(self):
-        assert self.filepath.endswith(XML_EXT), "Unsupport file format"
-        parser = etree.XMLParser(encoding=ENCODE_METHOD)
-        xmltree = ElementTree.parse(self.filepath, parser=parser).getroot()
-        filename = xmltree.find('filename').text
-        try:
-            verified = xmltree.attrib['verified']
-            if verified == 'yes':
-                self.verified = True
-        except KeyError:
-            self.verified = False
-
-        for object_iter in xmltree.findall('object'):
-            bndbox = object_iter.find("bndbox")
-            label = object_iter.find('name').text
-            # Add chris
-            difficult = False
-            if object_iter.find('difficult') is not None:
-                difficult = bool(int(object_iter.find('difficult').text))
-            self.addShape(label, bndbox, difficult)
-        return True

PPOCRLabel/libs/yolo_io.py

-#!/usr/bin/env python
-# -*- coding: utf8 -*-
-import sys
-import os
-from xml.etree import ElementTree
-from xml.etree.ElementTree import Element, SubElement
-from lxml import etree
-import codecs
-from libs.constants import DEFAULT_ENCODING
-
-TXT_EXT = '.txt'
-ENCODE_METHOD = DEFAULT_ENCODING
-
-class YOLOWriter:
-
-    def __init__(self, foldername, filename, imgSize, databaseSrc='Unknown', localImgPath=None):
-        self.foldername = foldername
-        self.filename = filename
-        self.databaseSrc = databaseSrc
-        self.imgSize = imgSize
-        self.boxlist = []
-        self.localImgPath = localImgPath
-        self.verified = False
-
-    def addBndBox(self, xmin, ymin, xmax, ymax, name, difficult):
-        bndbox = {'xmin': xmin, 'ymin': ymin, 'xmax': xmax, 'ymax': ymax}
-        bndbox['name'] = name
-        bndbox['difficult'] = difficult
-        self.boxlist.append(bndbox)
-
-    def BndBox2YoloLine(self, box, classList=[]):
-        xmin = box['xmin']
-        xmax = box['xmax']
-        ymin = box['ymin']
-        ymax = box['ymax']
-
-        xcen = float((xmin + xmax)) / 2 / self.imgSize[1]
-        ycen = float((ymin + ymax)) / 2 / self.imgSize[0]
-
-        w = float((xmax - xmin)) / self.imgSize[1]
-        h = float((ymax - ymin)) / self.imgSize[0]
-
-        # PR387
-        boxName = box['name']
-        if boxName not in classList:
-            classList.append(boxName)
-
-        classIndex = classList.index(boxName)
-
-        return classIndex, xcen, ycen, w, h
-
-    def save(self, classList=[], targetFile=None):
-
-        out_file = None #Update yolo .txt
-        out_class_file = None   #Update class list .txt
-
-        if targetFile is None:
-            out_file = open(
-            self.filename + TXT_EXT, 'w', encoding=ENCODE_METHOD)
-            classesFile = os.path.join(os.path.dirname(os.path.abspath(self.filename)), "classes.txt")
-            out_class_file = open(classesFile, 'w')
-
-        else:
-            out_file = codecs.open(targetFile, 'w', encoding=ENCODE_METHOD)
-            classesFile = os.path.join(os.path.dirname(os.path.abspath(targetFile)), "classes.txt")
-            out_class_file = open(classesFile, 'w')
-
-
-        for box in self.boxlist:
-            classIndex, xcen, ycen, w, h = self.BndBox2YoloLine(box, classList)
-            # print (classIndex, xcen, ycen, w, h)
-            out_file.write("%d %.6f %.6f %.6f %.6f\n" % (classIndex, xcen, ycen, w, h))
-
-        # print (classList)
-        # print (out_class_file)
-        for c in classList:
-            out_class_file.write(c+'\n')
-
-        out_class_file.close()
-        out_file.close()
-
-
-
-class YoloReader:
-
-    def __init__(self, filepath, image, classListPath=None):
-        # shapes type:
-        # [labbel, [(x1,y1), (x2,y2), (x3,y3), (x4,y4)], color, color, difficult]
-        self.shapes = []
-        self.filepath = filepath
-
-        if classListPath is None:
-            dir_path = os.path.dirname(os.path.realpath(self.filepath))
-            self.classListPath = os.path.join(dir_path, "classes.txt")
-        else:
-            self.classListPath = classListPath
-
-        # print (filepath, self.classListPath)
-
-        classesFile = open(self.classListPath, 'r')
-        self.classes = classesFile.read().strip('\n').split('\n')
-
-        # print (self.classes)
-
-        imgSize = [image.height(), image.width(),
-                      1 if image.isGrayscale() else 3]
-
-        self.imgSize = imgSize
-
-        self.verified = False
-        # try:
-        self.parseYoloFormat()
-        # except:
-            # pass
-
-    def getShapes(self):
-        return self.shapes
-
-    def addShape(self, label, xmin, ymin, xmax, ymax, difficult):
-
-        points = [(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax)]
-        self.shapes.append((label, points, None, None, difficult))
-
-    def yoloLine2Shape(self, classIndex, xcen, ycen, w, h):
-        label = self.classes[int(classIndex)]
-
-        xmin = max(float(xcen) - float(w) / 2, 0)
-        xmax = min(float(xcen) + float(w) / 2, 1)
-        ymin = max(float(ycen) - float(h) / 2, 0)
-        ymax = min(float(ycen) + float(h) / 2, 1)
-
-        xmin = int(self.imgSize[1] * xmin)
-        xmax = int(self.imgSize[1] * xmax)
-        ymin = int(self.imgSize[0] * ymin)
-        ymax = int(self.imgSize[0] * ymax)
-
-        return label, xmin, ymin, xmax, ymax
-
-    def parseYoloFormat(self):
-        bndBoxFile = open(self.filepath, 'r')
-        for bndBox in bndBoxFile:
-            classIndex, xcen, ycen, w, h = bndBox.strip().split(' ')
-            label, xmin, ymin, xmax, ymax = self.yoloLine2Shape(classIndex, xcen, ycen, w, h)
-
-            # Caveat: difficult flag is discarded when saved as yolo format.
-            self.addShape(label, xmin, ymin, xmax, ymax, False)