def process(self):
try:
from optical_character_recognition import main
res, precision = main.predict(self.file_name)
self.res_label.setText(res)
except:
QMessageBox.information(self, '错误！找不到模型', "找不到训练好的模型！请先训练模型！",
QMessageBox.Yes)
def process(self):
try:
from car_platte_recognition import main
res, precision = main.predict(self.file_name)
self.res_label.setText('%s\n准确度%f%%' % (res, precision))
except:
QMessageBox.information(self, '错误！找不到模型', "找不到训练好的模型！请先训练模型！",
QMessageBox.Yes)
def process(self):
try:
from face_recognition import main
list_, disp_image = main.predict(self.file_name)
str_ = '一共找到%d张脸\n' % len(list_)
for i, l in enumerate(list_):
str_ += '%d:%s 准确度7%f%%\n' % (i, l[0], l[1])
self.respic_label.setPixmap(
QPixmap(disp_image).scaled(400, 300,
Qt.KeepAspectRatioByExpanding))
self.res_label.setText(str_)
except:
QMessageBox.information(self, '错误！找不到模型', "找不到训练好的模型！请先训练模型！",
QMessageBox.Yes)