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fixed /modules/text/textdetection.py sample #3092

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Oct 31, 2021
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22 changes: 10 additions & 12 deletions modules/text/samples/textdetection.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,42 +17,40 @@

pathname = os.path.dirname(sys.argv[0])


img = cv.imread(str(sys.argv[1]))
# for visualization
vis = img.copy()


# Extract channels to be processed individually
channels = cv.text.computeNMChannels(img)
channels = list(cv.text.computeNMChannels(img))
# Append negative channels to detect ER- (bright regions over dark background)
cn = len(channels)-1
for c in range(0,cn):
channels.append((255-channels[c]))
channels.append(255-channels[c])

# Apply the default cascade classifier to each independent channel (could be done in parallel)

erc1 = cv.text.loadClassifierNM1('trained_classifierNM1.xml')
er1 = cv.text.createERFilterNM1(erc1,16,0.00015,0.13,0.2,True,0.1)

erc2 = cv.text.loadClassifierNM2('trained_classifierNM2.xml')
er2 = cv.text.createERFilterNM2(erc2,0.5)

print("Extracting Class Specific Extremal Regions from "+str(len(channels))+" channels ...")
print(" (...) this may take a while (...)")
for channel in channels:

erc1 = cv.text.loadClassifierNM1(pathname+'/trained_classifierNM1.xml')
er1 = cv.text.createERFilterNM1(erc1,16,0.00015,0.13,0.2,True,0.1)

erc2 = cv.text.loadClassifierNM2(pathname+'/trained_classifierNM2.xml')
er2 = cv.text.createERFilterNM2(erc2,0.5)

regions = cv.text.detectRegions(channel,er1,er2)

rects = cv.text.erGrouping(img,channel,[r.tolist() for r in regions])
#rects = cv.text.erGrouping(img,channel,[x.tolist() for x in regions], cv.text.ERGROUPING_ORIENTATION_ANY,'../../GSoC2014/opencv_contrib/modules/text/samples/trained_classifier_erGrouping.xml',0.5)

#Visualization
for r in range(0,np.shape(rects)[0]):
rect = rects[r]
for rect in rects:
cv.rectangle(vis, (rect[0],rect[1]), (rect[0]+rect[2],rect[1]+rect[3]), (0, 0, 0), 2)
cv.rectangle(vis, (rect[0],rect[1]), (rect[0]+rect[2],rect[1]+rect[3]), (255, 255, 255), 1)


#Visualization
cv.imshow("Text detection result", vis)
cv.waitKey(0)