Fix bugs during save recognition results
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parent
6b27cdc105
commit
647db30f6f
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@ -1450,7 +1450,7 @@ class MainWindow(QMainWindow, WindowMixin):
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item = QListWidgetItem(closeicon, filename)
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item = QListWidgetItem(closeicon, filename)
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self.fileListWidget.addItem(item)
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self.fileListWidget.addItem(item)
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print('dirPath in importDirImages is', dirpath)
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print('DirPath in importDirImages is', dirpath)
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self.iconlist.clear()
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self.iconlist.clear()
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self.additems5(dirpath)
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self.additems5(dirpath)
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self.changeFileFolder = True
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self.changeFileFolder = True
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@ -1459,7 +1459,6 @@ class MainWindow(QMainWindow, WindowMixin):
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self.reRecogButton.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.AutoRec.setEnabled(True)
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self.actions.reRec.setEnabled(True)
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self.actions.reRec.setEnabled(True)
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self.actions.saveLabel.setEnabled(True)
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def openPrevImg(self, _value=False):
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def openPrevImg(self, _value=False):
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@ -1862,6 +1861,8 @@ class MainWindow(QMainWindow, WindowMixin):
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for each in states:
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for each in states:
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file, state = each.split('\t')
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file, state = each.split('\t')
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self.fileStatedict[file] = 1
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self.fileStatedict[file] = 1
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self.actions.saveLabel.setEnabled(True)
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self.actions.saveRec.setEnabled(True)
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def saveFilestate(self):
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def saveFilestate(self):
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@ -1919,22 +1920,29 @@ class MainWindow(QMainWindow, WindowMixin):
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rec_gt_dir = os.path.dirname(self.PPlabelpath) + '/rec_gt.txt'
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rec_gt_dir = os.path.dirname(self.PPlabelpath) + '/rec_gt.txt'
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crop_img_dir = os.path.dirname(self.PPlabelpath) + '/crop_img/'
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crop_img_dir = os.path.dirname(self.PPlabelpath) + '/crop_img/'
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ques_img = []
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if not os.path.exists(crop_img_dir):
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if not os.path.exists(crop_img_dir):
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os.mkdir(crop_img_dir)
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os.mkdir(crop_img_dir)
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with open(rec_gt_dir, 'w', encoding='utf-8') as f:
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with open(rec_gt_dir, 'w', encoding='utf-8') as f:
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for key in self.fileStatedict:
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for key in self.fileStatedict:
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idx = self.getImglabelidx(key)
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idx = self.getImglabelidx(key)
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for i, label in enumerate(self.PPlabel[idx]):
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try:
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if label['difficult']: continue
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img = cv2.imread(key)
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img = cv2.imread(key)
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img_crop = get_rotate_crop_image(img, np.array(label['points'], np.float32))
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for i, label in enumerate(self.PPlabel[idx]):
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img_name = os.path.splitext(os.path.basename(idx))[0] + '_crop_'+str(i)+'.jpg'
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if label['difficult']: continue
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cv2.imwrite(crop_img_dir+img_name, img_crop)
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img_crop = get_rotate_crop_image(img, np.array(label['points'], np.float32))
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f.write('crop_img/'+ img_name + '\t')
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img_name = os.path.splitext(os.path.basename(idx))[0] + '_crop_'+str(i)+'.jpg'
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f.write(label['transcription'] + '\n')
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cv2.imwrite(crop_img_dir+img_name, img_crop)
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f.write('crop_img/'+ img_name + '\t')
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QMessageBox.information(self, "Information", "Cropped images has been saved in "+str(crop_img_dir))
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f.write(label['transcription'] + '\n')
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except Exception as e:
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ques_img.append(key)
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print("Can not read image ",e)
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if ques_img:
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QMessageBox.information(self, "Information", "The following images can not be saved, "
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"please check the image path and labels.\n" + "".join(str(i)+'\n' for i in ques_img))
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QMessageBox.information(self, "Information", "Cropped images have been saved in "+str(crop_img_dir))
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def speedChoose(self):
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def speedChoose(self):
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if self.labelDialogOption.isChecked():
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if self.labelDialogOption.isChecked():
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