new

PPOCRLabel/libs/dataPartitionDialog.py

+try:
+    from PyQt5.QtGui import *
+    from PyQt5.QtCore import *
+    from PyQt5.QtWidgets import *
+except ImportError:
+    from PyQt4.QtGui import *
+    from PyQt4.QtCore import *
+
+from libs.utils import newIcon
+
+import time
+import datetime
+import json
+import cv2
+import numpy as np
+
+
+BB = QDialogButtonBox
+
+class DataPartitionDialog(QDialog):
+    def __init__(self, parent=None):
+        super().__init__()
+        self.parnet = parent
+        self.title = 'DATA PARTITION'
+
+        self.train_ratio = 70
+        self.val_ratio = 15
+        self.test_ratio = 15
+        
+        self.initUI()
+
+    def initUI(self):
+        self.setWindowTitle(self.title)
+        self.setWindowModality(Qt.ApplicationModal)
+
+        self.flag_accept = True
+
+        if self.parnet.lang == 'ch':
+            msg = "导出JSON前请保存所有图像的标注且关闭EXCEL!"
+        else:
+            msg = "Please save all the annotations and close the EXCEL before exporting JSON!"
+
+        info_msg = QLabel(msg, self)
+        info_msg.setWordWrap(True)
+        info_msg.setStyleSheet("color: red")
+        info_msg.setFont(QFont('Arial', 12))
+
+        train_lbl = QLabel('Train split: ', self)
+        train_lbl.setFont(QFont('Arial', 15))
+        val_lbl = QLabel('Valid split: ', self)
+        val_lbl.setFont(QFont('Arial', 15))
+        test_lbl = QLabel('Test split: ', self)
+        test_lbl.setFont(QFont('Arial', 15))
+
+        self.train_input = QLineEdit(self)
+        self.train_input.setFont(QFont('Arial', 15))
+        self.val_input = QLineEdit(self)
+        self.val_input.setFont(QFont('Arial', 15))
+        self.test_input = QLineEdit(self)
+        self.test_input.setFont(QFont('Arial', 15))
+
+        self.train_input.setText(str(self.train_ratio))
+        self.val_input.setText(str(self.val_ratio))
+        self.test_input.setText(str(self.test_ratio))
+
+        validator = QIntValidator(0, 100)
+        self.train_input.setValidator(validator)
+        self.val_input.setValidator(validator)
+        self.test_input.setValidator(validator)
+
+        gridlayout = QGridLayout()
+        gridlayout.addWidget(info_msg, 0, 0, 1, 2)
+        gridlayout.addWidget(train_lbl, 1, 0)
+        gridlayout.addWidget(val_lbl, 2, 0)
+        gridlayout.addWidget(test_lbl, 3, 0)
+        gridlayout.addWidget(self.train_input, 1, 1)
+        gridlayout.addWidget(self.val_input, 2, 1)
+        gridlayout.addWidget(self.test_input, 3, 1)
+
+        bb = BB(BB.Ok | BB.Cancel, Qt.Horizontal, self)
+        bb.button(BB.Ok).setIcon(newIcon('done'))
+        bb.button(BB.Cancel).setIcon(newIcon('undo'))
+        bb.accepted.connect(self.validate)
+        bb.rejected.connect(self.cancel)
+        gridlayout.addWidget(bb, 4, 0, 1, 2)
+
+        self.setLayout(gridlayout)
+        
+        self.show()
+
+    def validate(self):
+        self.flag_accept = True
+        self.accept()
+
+    def cancel(self):
+        self.flag_accept = False
+        self.reject()
+    
+    def getStatus(self):
+        return self.flag_accept
+
+    def getDataPartition(self):
+        self.train_ratio = int(self.train_input.text())
+        self.val_ratio = int(self.val_input.text())
+        self.test_ratio = int(self.test_input.text())
+
+        return self.train_ratio, self.val_ratio, self.test_ratio
+
+    def closeEvent(self, event):
+        self.flag_accept = False
+        self.reject()
+
+

PPOCRLabel/libs/utils.py

@@ -161,6 +161,33 @@ def get_rotate_crop_image(img, points):
         print(e)
 
 
+def boxPad(box, imgShape, pad : int) -> np.array:
+    """
+    Pad a box with [pad] pixels on each side.
+    """
+    box = np.array(box, dtype=np.int32)
+    box[0][0], box[0][1] = box[0][0] - pad, box[0][1] - pad
+    box[1][0], box[1][1] = box[1][0] + pad, box[1][1] - pad
+    box[2][0], box[2][1] = box[2][0] + pad, box[2][1] + pad
+    box[3][0], box[3][1] = box[3][0] - pad, box[3][1] + pad
+    h, w, _ = imgShape
+    box[:,0] = np.clip(box[:,0], 0, w)
+    box[:,1] = np.clip(box[:,1], 0, h)
+    return box
+
+
+def OBB2HBB(obb) -> np.array:
+    """
+    Convert Oriented Bounding Box to Horizontal Bounding Box.
+    """
+    hbb = np.zeros(4, dtype=np.int32)
+    hbb[0] = min(obb[:, 0])
+    hbb[1] = min(obb[:, 1])
+    hbb[2] = max(obb[:, 0])
+    hbb[3] = max(obb[:, 1])
+    return hbb
+
+
 def stepsInfo(lang='en'):
     if lang == 'ch':
         msg = "1. 安装与运行：使用上述命令安装与运行程序。\n" \

PPOCRLabel/resources/strings/strings-en.properties

@@ -84,7 +84,7 @@ mhelp=Help
 iconList=Icon List
 detectionBoxposition=Detection box position
 recognitionResult=Recognition result
-creatPolygon=Create Quadrilateral
+creatPolygon=Create PolygonBox
 rotateLeft=Left turn 90 degrees
 rotateRight=Right turn 90 degrees
 drawSquares=Draw Squares
@@ -110,3 +110,6 @@ lockBoxDetail=Lock selected box/Unlock all box
 keyListTitle=Key List
 keyDialogTip=Enter object label
 keyChange=Change Box Key
+TableRecognition=Table Recognition
+cellreRecognition=Cell Re-Recognition
+exportJSON=export JSON(PubTabNet)

PPOCRLabel/resources/strings/strings-zh-CN.properties

@@ -84,7 +84,7 @@ mhelp=帮助
 iconList=缩略图
 detectionBoxposition=检测框位置
 recognitionResult=识别结果
-creatPolygon=四点标注
+creatPolygon=多边形标注
 drawSquares=正方形标注
 rotateLeft=图片左旋转90度
 rotateRight=图片右旋转90度
@@ -109,4 +109,7 @@ lockBox=锁定框/解除锁定框
 lockBoxDetail=若当前没有框处于锁定状态则锁定选中的框，若存在锁定框则解除所有锁定框的锁定状态
 keyListTitle=关键词列表
 keyDialogTip=请输入类型名称
-keyChange=更改Box关键字类别
\ No newline at end of file
+keyChange=更改Box关键字类别
+TableRecognition=表格识别
+cellreRecognition=单元格重识别
+exportJSON=导出表格JSON标注
\ No newline at end of file