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Add: [TW] cnocr model for tw
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bin/cnocr_models/tw/cnocr-v1.2.0-densenet-lite-gru-0063.params
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bin/cnocr_models/tw/cnocr-v1.2.0-densenet-lite-gru-0063.params
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bin/cnocr_models/tw/cnocr-v1.2.0-densenet-lite-gru-symbol.json
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bin/cnocr_models/tw/cnocr-v1.2.0-densenet-lite-gru-symbol.json
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bin/cnocr_models/tw/label_cn.txt
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bin/cnocr_models/tw/label_cn.txt
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@ -30,6 +30,16 @@ OCR_MODEL = {
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'cnocr': AlOcr(model_name='densenet-lite-gru', model_epoch=39, root='./bin/cnocr_models/cnocr', name='cnocr'),
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'jp': AlOcr(model_name='densenet-lite-gru', model_epoch=125, root='./bin/cnocr_models/jp', name='jp'),
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# Folder: ./bin/cnocr_models/tw
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# Size: 8.43MB
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# Model: densenet-lite-gru
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# Epoch: 63
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# Validation accuracy: 99.24%
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# Font: Various, 6 kinds
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# Charset: Numbers, Upper english characters, Chinese traditional characters
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# _num_classes: 5322
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'tw': AlOcr(model_name='densenet-lite-gru', model_epoch=63, root='./bin/cnocr_models/tw', name='tw'),
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}
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@ -50,6 +60,7 @@ class Ocr:
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self.letter = letter
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self.threshold = threshold
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self.alphabet = alphabet
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self.lang = lang
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self.cnocr = OCR_MODEL[lang]
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def pre_process(self, image):
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@ -74,6 +85,10 @@ class Ocr:
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"""
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result = ''.join(result)
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if self.lang == 'tw':
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# There no letter `艦` in training dataset
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result = result.replace('鑑', '艦')
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return result
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def ocr(self, image, direct_ocr=False):
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@ -104,6 +119,7 @@ class Digit(Ocr):
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Do OCR on a digit, such as `45`.
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Method ocr() returns int, or a list of int.
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"""
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def __init__(self, buttons, lang='azur_lane', letter=(255, 255, 255), threshold=128, alphabet='0123456789',
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name=None):
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super().__init__(buttons, lang=lang, letter=letter, threshold=threshold, alphabet=alphabet, name=name)
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