vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/text/samples/detect_er_chars.py

@@ -0,0 +1,38 @@
+#!/usr/bin/python
+
+import sys
+import os
+
+import cv2 as cv
+import numpy as np
+
+print('\ndetect_er_chars.py')
+print('       A simple demo script using the Extremal Region Filter algorithm described in:')
+print('       Neumann L., Matas J.: Real-Time Scene Text Localization and Recognition, CVPR 2012\n')
+
+
+if (len(sys.argv) < 2):
+  print(' (ERROR) You must call this script with an argument (path_to_image_to_be_processed)\n')
+  quit()
+
+pathname = os.path.dirname(sys.argv[0])
+
+img  = cv.imread(str(sys.argv[1]))
+gray = cv.imread(str(sys.argv[1]),0)
+
+erc1 = cv.text.loadClassifierNM1(pathname+'/trained_classifierNM1.xml')
+er1 = cv.text.createERFilterNM1(erc1)
+
+erc2 = cv.text.loadClassifierNM2(pathname+'/trained_classifierNM2.xml')
+er2 = cv.text.createERFilterNM2(erc2)
+
+regions = cv.text.detectRegions(gray,er1,er2)
+
+#Visualization
+rects = [cv.boundingRect(p.reshape(-1, 1, 2)) for p in regions]
+for rect in rects:
+  cv.rectangle(img, rect[0:2], (rect[0]+rect[2],rect[1]+rect[3]), (0, 0, 0), 2)
+for rect in rects:
+  cv.rectangle(img, rect[0:2], (rect[0]+rect[2],rect[1]+rect[3]), (255, 255, 255), 1)
+cv.imshow("Text detection result", img)
+cv.waitKey(0)