def test_chars_identify():
print "test_chars_identify"
img_plate = cv2.imread("resources/image/chars_identify.jpg",cv2.IMREAD_COLOR)
# 车牌分割
segmented = CharsSegmenter.charsSegment(img_plate)
licence = ''
CharsIndentifier.initModel()
for index, char in enumerate(segmented):
print 'char:'
print char
# licence += CharsIndentifier.identify(char)
char_feature = CharsIndentifier.features(char,kPredictSize)
if index == 0:
char_text = CharsIndentifier.identifyChinese(char_feature)
else:
char_text = CharsIndentifier.identifyDigitLetter(char_feature)
licence += char_text
print "识别结果:"
print licence
def test_chars_identify():
print "test_chars_identify"
img_plate = cv2.imread("resources/image/chars_identify.jpg",
cv2.IMREAD_COLOR)
# 车牌分割
segmented = CharsSegmenter.charsSegment(img_plate)
licence = ''
CharsIndentifier.initModel()
for index, char in enumerate(segmented):
print 'char:'
print char
# licence += CharsIndentifier.identify(char)
char_feature = CharsIndentifier.features(char, kPredictSize)
if index == 0:
char_text = CharsIndentifier.identifyChinese(char_feature)
else:
char_text = CharsIndentifier.identifyDigitLetter(char_feature)
licence += char_text
print "识别结果:"
print licence
