Fix PPOCRLabel bugs, release PPOCRLabel 2.1.3 
diff --git a/PPOCRLabel/PPOCRLabel.py b/PPOCRLabel/PPOCRLabel.py
index 0a3ae1cb3b..6c8154d1c9 100644
--- a/PPOCRLabel/PPOCRLabel.py
+++ b/PPOCRLabel/PPOCRLabel.py
@@ -1617,8 +1617,9 @@ def showBoundingBoxFromPPlabel(self, filePath):
                 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)))
 
-        self.loadLabels(shapes)
-        self.canvas.verified = False
+        if shapes != []:
+            self.loadLabels(shapes)
+            self.canvas.verified = False
 
     def validFilestate(self, filePath):
         if filePath not in self.fileStatedict.keys():
@@ -2203,7 +2204,7 @@ def reRecognition(self):
                     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)
+                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]
@@ -2264,7 +2265,7 @@ def singleRerecognition(self):
                 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)
+            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)
@@ -2415,12 +2416,12 @@ def cellreRecognition(self):
             # merge the text result in the cell
             texts = ''
             probs = 0. # the probability of the cell is avgerage prob of every text box in the cell
-            bboxes = self.ocr.ocr(img_crop, det=True, rec=False, cls=False)
+            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)
+                    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
diff --git a/PPOCRLabel/README.md b/PPOCRLabel/README.md
index 9c483e1fef..ec933a8397 100644
--- a/PPOCRLabel/README.md
+++ b/PPOCRLabel/README.md
@@ -103,11 +103,11 @@ python PPOCRLabel.py --kie True # [KIE mode] for [detection + recognition + keyw
 ```
 
 #### 1.2.3 Build and Install the Whl Package Locally
-Compile and install a new whl package, where 1.0.2 is the version number, you can specify the new version in 'setup.py'.
+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-2.1.2-py2.py3-none-any.whl
+pip3 install dist/PPOCRLabel-0.0.0-py2.py3-none-any.whl
 ```
 
 
diff --git a/PPOCRLabel/README_ch.md b/PPOCRLabel/README_ch.md
index afe1a08ff9..5359afc4f1 100644
--- a/PPOCRLabel/README_ch.md
+++ b/PPOCRLabel/README_ch.md
@@ -101,12 +101,12 @@ 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1.0.2为版本号，可在 `setup.py` 中指定新版本。
+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-2.1.2-py2.py3-none-any.whl -i https://mirror.baidu.com/pypi/simple
+pip3 install dist/PPOCRLabel-0.0.0-py2.py3-none-any.whl -i https://mirror.baidu.com/pypi/simple
 ```
 
 
diff --git a/PPOCRLabel/libs/autoDialog.py b/PPOCRLabel/libs/autoDialog.py
index 189a590de8..55636eec0f 100644
--- a/PPOCRLabel/libs/autoDialog.py
+++ b/PPOCRLabel/libs/autoDialog.py
@@ -40,7 +40,7 @@ def run(self):
                     if self.model == 'paddle':
                         h, w, _ = cv2.imdecode(np.fromfile(Imgpath, dtype=np.uint8), 1).shape
                         if h > 32 and w > 32:
-                            self.result_dic = self.ocr.ocr(Imgpath, cls=True, det=True)
+                            self.result_dic = self.ocr.ocr(Imgpath, cls=True, det=True)[0]
                         else:
                             print('The size of', Imgpath, 'is too small to be recognised')
                             self.result_dic = None
diff --git a/PPOCRLabel/requirements.txt b/PPOCRLabel/requirements.txt
index fd42a2de25..a10b3453a9 100644
--- a/PPOCRLabel/requirements.txt
+++ b/PPOCRLabel/requirements.txt
@@ -1,3 +1,3 @@
 pyqt5
-paddleocr==2.6.0.0
+paddleocr
 xlrd==1.2.0
diff --git a/PPOCRLabel/setup.py b/PPOCRLabel/setup.py
index a112df544e..9770b632bd 100644
--- a/PPOCRLabel/setup.py
+++ b/PPOCRLabel/setup.py
@@ -33,10 +33,10 @@ def readme():
     package_dir={'PPOCRLabel': ''},
     include_package_data=True,
     entry_points={"console_scripts": ["PPOCRLabel= PPOCRLabel.PPOCRLabel:main"]},
-    version='2.1.2',
+    version='2.1.3',
     install_requires=requirements,
     license='Apache License 2.0',
-    description='PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. 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',
+    description='PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.',
     long_description=readme(),
     long_description_content_type='text/markdown',
     url='https://github.com/PaddlePaddle/PaddleOCR',

[Fix PPOCRLabel bugs, release PPOCRLabel 2.1.3](https://github.com/PaddlePaddle/PaddleOCR/commit/088e62e6c9983e59ff5976fec613c36ab1f4413e)