1# -*- coding: utf-8 -*-
2#!/usr/bin/python
3import sys
4import os
5import cv2 as cv
6import numpy as np
7
8def main():
9    print('\nDeeptextdetection.py')
10    print('       A demo script of text box alogorithm of the paper:')
11    print('       * Minghui Liao et al.: TextBoxes: A Fast Text Detector with a Single Deep Neural Network https://arxiv.org/abs/1611.06779\n')
12
13    if (len(sys.argv) < 2):
14        print(' (ERROR) You must call this script with an argument (path_to_image_to_be_processed)\n')
15        quit()
16
17    if not os.path.isfile('TextBoxes_icdar13.caffemodel') or not os.path.isfile('textbox.prototxt'):
18        print " Model files not found in current directory. Aborting"
19        print " See the documentation of text::TextDetectorCNN class to get download links."
20        quit()
21
22    img = cv.imread(str(sys.argv[1]))
23    textSpotter = cv.text.TextDetectorCNN_create("textbox.prototxt", "TextBoxes_icdar13.caffemodel")
24    rects, outProbs = textSpotter.detect(img);
25    vis = img.copy()
26    thres = 0.6
27
28    for r in range(np.shape(rects)[0]):
29        if outProbs[r] > thres:
30            rect = rects[r]
31            cv.rectangle(vis, (rect[0],rect[1]), (rect[0] + rect[2], rect[1] + rect[3]), (255, 0, 0), 2)
32
33    cv.imshow("Text detection result", vis)
34    cv.waitKey()
35
36if __name__ == "__main__":
37    main()
38