from textbbx import net,imgproc,test_net,args,refine_net,getResult
import os,cv2

from DeepModel import DeePredict

def text_model(image_path):
    image = imgproc.loadImage(image_path)

    bboxes, polys, score_text = test_net(net, image, args.text_threshold, args.link_threshold, args.low_text,
                                         args.cuda, args.poly, refine_net)


    return getResult(polys)


# print(text_model(r"D:\试卷切割\img\5.png"))