49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
from paddleocr import PaddleOCR
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"""
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项目配置
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"""
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# 每次从数据库获取的案子数量
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PHHD_BATCH_SIZE = 20
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# 没有查询到案子的等待时间(分钟)
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SLEEP_MINUTES = 5
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# 是否发送异常提醒邮件
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SEND_ERROR_EMAIL = True
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"""
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关键词配置
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"""
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# 使用正则匹配
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# key: 正则表达式
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# length: 涂抹的长度
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# offset: 涂抹的偏移量，基于正则匹配的开头偏移。如果不写，默认偏移量为匹配到的字符串长度，即从匹配到的字符串结尾开始涂抹
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NAME_KEYS = [
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{"key": "^名[:|：]$", "length": 3},
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{"key": "[姓|娃|生|性]名", "length": 4},
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{"key": "[款|献]人", "length": 4},
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{"key": "[交|文][^病]?人", "length": 4},
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{"key": "购买方名称", "length": 4},
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{"key": "[（|(]个人[）|)]", "length": 3, "offset": -3},
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{"key": "客户", "length": 4},
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{"key": "病人[姓]?名", "length": 4},
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]
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ID_CARD_NUM_KEYS = [
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{"key": "[身]?份证号", "length": 19},
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{"key": "身份号码", "length": 19},
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]
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# 形近字，只对姓名涂抹生效
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SIMILAR_CHAR = {
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"凤": ["风"]
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}
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# 如果不希望识别出空格，可以设置use_space_char=False。做此项设置一定要测试，2.7.3版本此项设置有bug，会导致识别失败
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OCR = PaddleOCR(
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gpu_id=1,
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show_log=False,
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det_db_thresh=0.1,
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det_db_box_thresh=0.3,
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det_limit_side_len=1248,
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drop_score=0.3
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)
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