jarryxy / idcard-orc

证件识别

使用方法

一、安装依赖

pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple paddleocr
pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple paddlepaddle

二、运行

python App.py

conda activate paddle_env
sh startup.sh

停止

sh shutdown.sh

三、接口

1、识别身份证

**描述：**自动识别身份证正反面文本并返回识别结果

**请求类型：**POST

请求路径：/api/ocr/idcard

请求参数：

名称	类型	是否必选	描述
image_file	file	否	图片文件
image_url	字符串	否	图片网络路径

image_file与image_url两者必须填写一个。

示例：

POST http://localhost:9000/api/ocr/idcard

Body:

Body 类型 : application/json

{
  "image_url":"http://qiniu.yuencode.cn/idCard2/2022/10/11/07d636f14fd4437ab5418183369519bb.jpg"
}

Response：

{
    "code": 200,
    "data": {
        "addr": "北京紫禁城想住哪就住哪",
        "birth": "1611年2月6日",
        "gender": "男",
        "idcard": "110101161102060468",
        "name": "朱由检",
        "nation": "汉"
    },
    "message": "success"
}

POST http://localhost:9000/api/ocr/idcard

Body:

Body 类型 : multipart/form-data

NAME	VALUE
image_file	二进制

Response：

{
    "code": 200,
    "data": {
        "expTime": "2035-11-03",
        "regTime": "2015-11-03"
    },
    "message": "success"
}

四、注册nacos

配置字段：

# 是否注册Nacso
nacosOpne = True
# Nacos服务器地址
serviceAddress = "172.16.16.200:8849"
# Nacos注册服务名
serviceName = 'idcardOcrService'
# Nacos注册服务ip
serviceIp = '127.0.0.1'
# Nacos注册服务端口
servicePort = 9000

参考：https://www.pudn.com/news/6306ec3cf8728f1f6c82d5b4.html

五、其它

身份证图片识别结果存放在./result目录中，注意定期删除

报错处理

module 'numpy' has no attribute 'int'.\nnp.int was a deprecated alias for the builtin int. To avoid this error in existing code, use int by itself. Doing this will not modify any behavior and is safe. When replacing np.int, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.\nThe aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:\n https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations"

pip uninstall numpy
pip install numpy==1.23.5 -i https://mirror.baidu.com/pypi/simple