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PaddleOCR
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Merge pull request #1872 from Evezerest/dy1 

Fix bugs during save recognition results and a spelling mistake
This commit is contained in:
MissPenguin 2021-01-29 15:25:48 +08:00 committed by GitHub
parent 570009c217 b3a451da26
commit e40100c5b7
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2 changed files with 21 additions and 13 deletions
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30
PPOCRLabel/PPOCRLabel.py
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@ -1450,7 +1450,7 @@ class MainWindow(QMainWindow, WindowMixin):
item = QListWidgetItem(closeicon, filename)
self.fileListWidget.addItem(item)
print('dirPath in importDirImages is', dirpath)
print('DirPath in importDirImages is', dirpath)
self.iconlist.clear()
self.additems5(dirpath)
self.changeFileFolder = True
@ -1459,7 +1459,6 @@ class MainWindow(QMainWindow, WindowMixin):
self.reRecogButton.setEnabled(True)
self.actions.AutoRec.setEnabled(True)
self.actions.reRec.setEnabled(True)
self.actions.saveLabel.setEnabled(True)
def openPrevImg(self, _value=False):
@ -1862,6 +1861,8 @@ class MainWindow(QMainWindow, WindowMixin):
for each in states:
file, state = each.split('\t')
self.fileStatedict[file] = 1
self.actions.saveLabel.setEnabled(True)
self.actions.saveRec.setEnabled(True)
def saveFilestate(self):
@ -1919,22 +1920,29 @@ class MainWindow(QMainWindow, WindowMixin):
rec_gt_dir = os.path.dirname(self.PPlabelpath) + '/rec_gt.txt'
crop_img_dir = os.path.dirname(self.PPlabelpath) + '/crop_img/'
ques_img = []
if not os.path.exists(crop_img_dir):
os.mkdir(crop_img_dir)
with open(rec_gt_dir, 'w', encoding='utf-8') as f:
for key in self.fileStatedict:
idx = self.getImglabelidx(key)
for i, label in enumerate(self.PPlabel[idx]):
if label['difficult']: continue
try:
img = cv2.imread(key)
img_crop = get_rotate_crop_image(img, np.array(label['points'], np.float32))
img_name = os.path.splitext(os.path.basename(idx))[0] + '_crop_'+str(i)+'.jpg'
cv2.imwrite(crop_img_dir+img_name, img_crop)
f.write('crop_img/'+ img_name + '\t')
f.write(label['transcription'] + '\n')
QMessageBox.information(self, "Information", "Cropped images has been saved in "+str(crop_img_dir))
for i, label in enumerate(self.PPlabel[idx]):
if label['difficult']: continue
img_crop = get_rotate_crop_image(img, np.array(label['points'], np.float32))
img_name = os.path.splitext(os.path.basename(idx))[0] + '_crop_'+str(i)+'.jpg'
cv2.imwrite(crop_img_dir+img_name, img_crop)
f.write('crop_img/'+ img_name + '\t')
f.write(label['transcription'] + '\n')
except Exception as e:
ques_img.append(key)
print("Can not read image ",e)
if ques_img:
QMessageBox.information(self, "Information", "The following images can not be saved, "
"please check the image path and labels.\n" + "".join(str(i)+'\n' for i in ques_img))
QMessageBox.information(self, "Information", "Cropped images have been saved in "+str(crop_img_dir))
def speedChoose(self):
if self.labelDialogOption.isChecked():

4
ppocr/data/lmdb_dataset.py
View File

@ -20,9 +20,9 @@ import cv2
from .imaug import transform, create_operators
class LMDBDateSet(Dataset):
class LMDBDataSet(Dataset):
def __init__(self, config, mode, logger, seed=None):
super(LMDBDateSet, self).__init__()
super(LMDBDataSet, self).__init__()
global_config = config['Global']
dataset_config = config[mode]['dataset']