Added python sample script

modules/text/samples/deeptextdetection.py

+# -*- coding: utf-8 -*-
+"""
+Created on Wed Jul 19 17:54:00 2017
+
+@author: sgnosh
+"""
+
+#!/usr/bin/python
+
+import sys
+import os
+
+import cv2
+import numpy as np
+
+print('\nDeeptextdetection.py')
+print('       A demo script of text box alogorithm of the paper:')
+print('       * Minghui Liao et al.: TextBoxes: A Fast Text Detector with a Single Deep Neural Network https://arxiv.org/abs/1611.06779\n')
+
+
+if (len(sys.argv) < 2):
+  print(' (ERROR) You must call this script with an argument (path_to_image_to_be_processed)\n')
+  quit()
+#if not cv2.text.cnn_config.caffe_backend.getCaffeAvailable():
+#        print"The text module was compiled without Caffe which is the only available DeepCNN backend.\nAborting!\n"
+#
+#        quit()
+# check model and architecture file existance        
+if not os.path.isfile('textbox.caffemodel') or not os.path.isfile('textbox_deploy.prototxt'):
+    print " Model files not found in current directory. Aborting"
+    print " Model files should be downloaded from https://github.com/sghoshcvc/TextBox-Models"
+    
+    quit()
+       
+cv2.text.cnn_config.caffe_backend.setCaffeGpuMode(True);
+pathname = os.path.dirname(sys.argv[0])
+
+
+img      = cv2.imread(str(sys.argv[1]))
+textSpotter=cv2.text.textDetector_create(
+                "textbox_deploy.prototxt","textbox.caffemodel")
+rects,outProbs = textSpotter.textDetectInImage(img);
+# for visualization
+vis      = img.copy()
+# Threshold to select rectangles : All rectangles for which outProbs is more than this threshold will be shown
+thres = 0.6
+
+
+  #Visualization
+for r in range(0,np.shape(rects)[0]):
+    if outProbs[r] >thres:
+        rect = rects[r]
+        cv2.rectangle(vis, (rect[0],rect[1]), (rect[0]+rect[2],rect[1]+rect[3]), (255, 0, 0), 2)
+       # cv2.rectangle(vis, (rect[0],rect[1]), (rect[0]+rect[2],rect[1]+rect[3]), (255, 255, 255), 1)
+
+
+#Visualization
+cv2.imshow("Text detection result", vis)
+cv2.waitKey(0)
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