38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
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# -*- coding: utf-8 -*-
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#!/usr/bin/python
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import sys
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import os
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import cv2 as cv
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import numpy as np
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def main():
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print('\nDeeptextdetection.py')
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print(' A demo script of text box alogorithm of the paper:')
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print(' * Minghui Liao et al.: TextBoxes: A Fast Text Detector with a Single Deep Neural Network https://arxiv.org/abs/1611.06779\n')
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if (len(sys.argv) < 2):
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print(' (ERROR) You must call this script with an argument (path_to_image_to_be_processed)\n')
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quit()
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if not os.path.isfile('TextBoxes_icdar13.caffemodel') or not os.path.isfile('textbox.prototxt'):
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print " Model files not found in current directory. Aborting"
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print " See the documentation of text::TextDetectorCNN class to get download links."
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quit()
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img = cv.imread(str(sys.argv[1]))
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textSpotter = cv.text.TextDetectorCNN_create("textbox.prototxt", "TextBoxes_icdar13.caffemodel")
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rects, outProbs = textSpotter.detect(img);
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vis = img.copy()
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thres = 0.6
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for r in range(np.shape(rects)[0]):
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if outProbs[r] > thres:
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rect = rects[r]
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cv.rectangle(vis, (rect[0],rect[1]), (rect[0] + rect[2], rect[1] + rect[3]), (255, 0, 0), 2)
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cv.imshow("Text detection result", vis)
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cv.waitKey()
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if __name__ == "__main__":
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main()
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