新增功能，获取案子全部原始图片

This reverts commit a740f16e6b.

.dockerignore

@@ -238,11 +238,8 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
 
-# 通过卷绑定挂载到容器中
+# 模型通过卷绑定挂载到容器中
-/log
+/model
-/services/paddle_services/log
-/services/paddle_services/model
-/tmp_img
 # docker
 Dockerfile
 docker-compose*.yml

.gitignore

@@ -142,11 +142,7 @@ cython_debug/
 .idea
 
 ### Model
-services/paddle_services/model
+model
 
 ### Log Backups
 *.log.*-*-*
-
-### Tmp Files
-/tmp_img
-/test_img

Dockerfile

@@ -1,5 +1,5 @@
-# 使用官方的python镜像作为基础
+# 使用官方的paddle镜像作为基础
-FROM python:3.10.15-bookworm
+FROM registry.baidubce.com/paddlepaddle/paddle:2.6.1-gpu-cuda12.0-cudnn8.9-trt8.6
 
 # 设置工作目录
 WORKDIR /app
@@ -13,10 +13,12 @@ ENV PYTHONUNBUFFERED=1 \
 
 # 安装依赖
 COPY requirements.txt /app/requirements.txt
+COPY packages /app/packages
 RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo '$TZ' > /etc/timezone \
-    && sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources \
+    && python3 -m pip install --upgrade pip \
-    && apt-get update && apt-get install libgl1 -y \
+    && pip install --no-cache-dir -r requirements.txt \
-    && pip install --no-cache-dir -r requirements.txt
+    && pip uninstall -y onnxruntime onnxruntime-gpu \
+    && pip install onnxruntime-gpu==1.18.0 --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
 
 # 将当前目录内容复制到容器的/app内
 COPY . /app

Dockerfile.dev

@@ -0,0 +1,33 @@
+# 使用官方的paddle镜像作为基础
+FROM ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.1.2-paddlepaddle3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5
+
+# 设置工作目录
+WORKDIR /app
+
+# 设置环境变量
+ENV PYTHONUNBUFFERED=1 \
+    # 设置时区
+    TZ=Asia/Shanghai \
+    # 设置pip镜像地址，加快安装速度
+    PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
+
+# 安装language-pack-en和openssh-server
+RUN apt update && \
+    apt install -y language-pack-en && \
+    apt install -y openssh-server
+
+# 配置SSH服务
+RUN mkdir /var/run/sshd && \
+    # 设置root密码，可根据需要修改
+    echo 'root:fcb0102' | chpasswd && \
+    # 允许root登录SSH
+    sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
+
+# 将当前目录内容复制到容器的/app内
+COPY . /app
+
+# 暴露22端口
+EXPOSE 22
+
+# 启动SSH服务
+CMD ["/usr/sbin/sshd", "-D"]

README.md

@@ -6,7 +6,7 @@
 
 1. 从Git远程仓库克隆项目到本地。
 
-2. 将深度学习模型复制到./services/paddle_services/model目录下，具体请看[模型更新](#模型更新)部分。
+2. 将深度学习模型复制到./model目录下，具体请看[模型更新](#模型更新)部分。
 
 3. 安装docker和docker-compose。
 
@@ -126,5 +126,7 @@ bash update.sh
     2. 新增扭曲矫正功能
 21. 版本号：1.14.0
     1. 新增二维码识别替换高清图片功能
-22. 版本号：2.0.0
+22. 版本号：1.15.0
-    1. 项目架构调整，模型全部采用接口调用
+    1. 新增图片清晰度测试
+23. 版本号：1.16.0
+    1. 更新paddle框架至3.0

api_test.py

@@ -1,4 +0,0 @@
-import time
-
-if __name__ == '__main__':
-    time.sleep(3600)

auto_email/__init__.py

@@ -8,13 +8,15 @@ MAX_WAIT_TIME = 3
 # 程序异常短信配置
 ERROR_EMAIL_CONFIG = {
     # SMTP服务器地址
-    'smtp_server': 'smtp.163.com',
+    "smtp_server": "smtp.163.com",
     # 连接SMTP的端口
-    'port': 994,
+    "port": 994,
     # 发件人邮箱地址，请确保开启了SMTP邮件服务！
-    'sender': 'EchoLiu618@163.com',
+    "sender": "EchoLiu618@163.com",
     # 授权码--用于登录第三方邮件客户端的专用密码，不是邮箱密码
-    'authorization_code': 'OKPQLIIVLVGRZYVH',
+    "authorization_code": "OKPQLIIVLVGRZYVH",
     # 收件人邮箱地址
-    'receivers': ['1515783401@qq.com'],
+    "receivers": ["1515783401@qq.com"],
+    # 尝试次数
+    "retry_times": 3,
 }

auto_email/error_email.py

@@ -5,18 +5,18 @@ from email.mime.text import MIMEText
 
 from tenacity import retry, stop_after_attempt, wait_random
 
+from auto_email import ERROR_EMAIL_CONFIG, TRY_TIMES, MIN_WAIT_TIME, MAX_WAIT_TIME
 from log import HOSTNAME
-from my_email import ERROR_EMAIL_CONFIG, TRY_TIMES, MIN_WAIT_TIME, MAX_WAIT_TIME
 
 
 @retry(stop=stop_after_attempt(TRY_TIMES), wait=wait_random(MIN_WAIT_TIME, MAX_WAIT_TIME), reraise=True,
-       after=lambda x: logging.warning('发送邮件失败！'))
+       after=lambda x: logging.warning("发送邮件失败！"))
 def send_email(email_config, massage):
-    smtp_server = email_config['smtp_server']
+    smtp_server = email_config["smtp_server"]
-    port = email_config['port']
+    port = email_config["port"]
-    sender = email_config['sender']
+    sender = email_config["sender"]
-    authorization_code = email_config['authorization_code']
+    authorization_code = email_config["authorization_code"]
-    receivers = email_config['receivers']
+    receivers = email_config["receivers"]
     mail = smtplib.SMTP_SSL(smtp_server, port)  # 连接SMTP服务
     mail.login(sender, authorization_code)  # 登录到SMTP服务
     mail.sendmail(sender, receivers, massage.as_string())  # 发送邮件
@@ -34,13 +34,13 @@ def send_error_email(program_name, error_name, error_detail):
     """
 
     # SMTP 服务器配置
-    sender = ERROR_EMAIL_CONFIG['sender']
+    sender = ERROR_EMAIL_CONFIG["sender"]
-    receivers = ERROR_EMAIL_CONFIG['receivers']
+    receivers = ERROR_EMAIL_CONFIG["receivers"]
 
     # 获取程序出错的时间
-    error_time = datetime.datetime.strftime(datetime.datetime.today(), '%Y-%m-%d %H:%M:%S:%f')
+    error_time = datetime.datetime.strftime(datetime.datetime.today(), "%Y-%m-%d %H:%M:%S:%f")
     # 邮件内容
-    subject = f'【程序异常提醒】{program_name}({HOSTNAME}) {error_time}'  # 邮件的标题
+    subject = f"【程序异常提醒】{program_name}({HOSTNAME}) {error_time}"  # 邮件的标题
     content = f'''<div class="emailcontent" style="width:100%;max-width:720px;text-align:left;margin:0 auto;padding-top:80px;padding-bottom:20px">
         <div class="emailtitle">
             <h1 style="color:#fff;background:#51a0e3;line-height:70px;font-size:24px;font-weight:400;padding-left:40px;margin:0">程序运行异常通知</h1>

auto_generator.py

@@ -0,0 +1,15 @@
+# 自动生成数据库表和sqlalchemy对应的Model
+import subprocess
+
+from db import DB_URL
+
+if __name__ == '__main__':
+    table = input("请输入表名：")
+    out_file = f"db/{table}.py"
+    command = f"sqlacodegen {DB_URL} --outfile={out_file} --tables={table}"
+
+    try:
+        subprocess.run(command, shell=True, check=True)
+        print(f"{table}.py文件生成成功！请检查并复制到合适的文件中！")
+    except Exception as e:
+        print(f"生成{table}.py文件时发生错误: {e}")

check_ie_result/__init__.py

@@ -0,0 +1 @@
+

check_ie_result/check_ie_result.py

@@ -0,0 +1,108 @@
+import datetime
+import json
+import os
+from decimal import Decimal
+from io import BytesIO
+from itertools import groupby
+
+import requests
+from PIL import ImageDraw, Image, ImageFont
+
+from db import MysqlSession
+from db.mysql import ZxIeCost, ZxIeDischarge, ZxIeSettlement, ZxPhhd, ZxIeResult, ZxPhrec
+from ucloud import ufile
+from util import image_util
+
+
+def check_ie_result(pk_phhd, need_to_annotation=True):
+    os.makedirs(f"./check_result/{pk_phhd}", exist_ok=True)
+    json_result = {"pk_phhd": pk_phhd}
+    session = MysqlSession()
+    phhd = session.query(ZxPhhd.cXm).filter(ZxPhhd.pk_phhd == pk_phhd).one()
+    json_result["cXm"] = phhd.cXm
+    settlement = (session.query(ZxIeSettlement.pk_ie_settlement, ZxIeSettlement.name, ZxIeSettlement.admission_date,
+                                ZxIeSettlement.discharge_date, ZxIeSettlement.medical_expenses,
+                                ZxIeSettlement.personal_cash_payment, ZxIeSettlement.personal_account_payment,
+                                ZxIeSettlement.personal_funded_amount, ZxIeSettlement.medical_insurance_type,
+                                ZxIeSettlement.admission_id, ZxIeSettlement.settlement_id)
+                  .filter(ZxIeSettlement.pk_phhd == pk_phhd).one())
+    settlement_result = settlement._asdict()
+    json_result["settlement"] = settlement_result
+
+    discharge = (session.query(ZxIeDischarge.pk_ie_discharge, ZxIeDischarge.hospital, ZxIeDischarge.pk_yljg,
+                               ZxIeDischarge.department, ZxIeDischarge.pk_ylks, ZxIeDischarge.name, ZxIeDischarge.age,
+                               ZxIeDischarge.admission_date, ZxIeDischarge.discharge_date, ZxIeDischarge.doctor,
+                               ZxIeDischarge.admission_id)
+                 .filter(ZxIeDischarge.pk_phhd == pk_phhd).one())
+    discharge_result = discharge._asdict()
+    json_result["discharge"] = discharge_result
+
+    cost = session.query(ZxIeCost.pk_ie_cost, ZxIeCost.name, ZxIeCost.admission_date, ZxIeCost.discharge_date,
+                         ZxIeCost.medical_expenses).filter(ZxIeCost.pk_phhd == pk_phhd).one()
+    cost_result = cost._asdict()
+    json_result["cost"] = cost_result
+
+    phrecs = session.query(ZxPhrec.pk_phrec, ZxPhrec.pk_phhd, ZxPhrec.cRectype, ZxPhrec.cfjaddress).filter(
+        ZxPhrec.pk_phhd == pk_phhd).all()
+    for phrec in phrecs:
+        img_name = phrec.cfjaddress
+        img_path = ufile.get_private_url(img_name, "drg2015")
+        if not img_path:
+            img_path = ufile.get_private_url(img_name)
+
+        response = requests.get(img_path)
+        image = Image.open(BytesIO(response.content)).convert("RGB")
+        if need_to_annotation:
+            font_size = image.width * image.height / 200000
+            font = ImageFont.truetype("./font/simfang.ttf", size=font_size)
+
+            ocr = session.query(ZxIeResult.id, ZxIeResult.content, ZxIeResult.rotation_angle, ZxIeResult.x_offset,
+                                ZxIeResult.y_offset).filter(ZxIeResult.pk_phrec == phrec.pk_phrec).all()
+            if not ocr:
+                os.makedirs(f"./check_result/{pk_phhd}/0", exist_ok=True)
+                image.save(f"./check_result/{pk_phhd}/0/{img_name}")
+
+            for _, group_results in groupby(ocr, key=lambda x: x.id):
+                draw = ImageDraw.Draw(image)
+                for ocr_item in group_results:
+                    result = json.loads(ocr_item.content)
+                    rotation_angle = ocr_item.rotation_angle
+                    x_offset = ocr_item.x_offset
+                    y_offset = ocr_item.y_offset
+                    for key in result:
+                        for value in result[key]:
+                            box = value["bbox"][0]
+
+                            if rotation_angle:
+                                box = image_util.invert_rotate_rectangle(box, (image.width / 2, image.height / 2),
+                                                                         rotation_angle)
+                            if x_offset:
+                                box[0] += x_offset
+                                box[2] += x_offset
+                            if y_offset:
+                                box[1] += y_offset
+                                box[3] += y_offset
+
+                            draw.rectangle(box, outline="red", width=2)  # 绘制矩形
+                            draw.text((box[0], box[1] - font_size), key, fill="blue", font=font)  # 在矩形上方绘制文本
+                            draw.text((box[0], box[3]), value["text"], fill="blue", font=font)  # 在矩形下方绘制文本
+                    os.makedirs(f"./check_result/{pk_phhd}/{ocr_item.id}", exist_ok=True)
+                    image.save(f"./check_result/{pk_phhd}/{ocr_item.id}/{img_name}")
+        else:
+            os.makedirs(f"./check_result/{pk_phhd}/0", exist_ok=True)
+            image.save(f"./check_result/{pk_phhd}/0/{img_name}")
+    session.close()
+
+    # 自定义JSON处理器
+    def default(obj):
+        if isinstance(obj, Decimal):
+            return float(obj)
+        if isinstance(obj, datetime.date):
+            return obj.strftime("%Y-%m-%d")
+
+    with open(f"./check_result/{pk_phhd}/result.json", "w", encoding="utf-8") as json_file:
+        json.dump(json_result, json_file, indent=4, ensure_ascii=False, default=default)
+
+
+if __name__ == '__main__':
+    check_ie_result(5640504)

db/__init__.py

@@ -19,5 +19,5 @@ DB_URL = f'mysql+pymysql://{USERNAME}:{PASSWORD}@{HOSTNAME}:{PORT}/{DATABASE}'
 SHOW_SQL = False
 
 Engine = create_engine(DB_URL, echo=SHOW_SQL)
-Base = declarative_base(Engine)
+Base = declarative_base()
 MysqlSession = sessionmaker(bind=Engine)

db/mysql.py

@@ -1,5 +1,5 @@
 # coding: utf-8
-from sqlalchemy import Column, DECIMAL, Date, DateTime, Index, String, text, LargeBinary
+from sqlalchemy import Column, DECIMAL, Date, DateTime, Index, String, text, LargeBinary, Text
 from sqlalchemy.dialects.mysql import BIT, CHAR, INTEGER, TINYINT, VARCHAR
 
 from db import Base
@@ -56,7 +56,8 @@ class ZxIeCost(Base):
 
     pk_ie_cost = Column(INTEGER(11), primary_key=True, comment='费用明细信息抽取主键')
     pk_phhd = Column(INTEGER(11), nullable=False, unique=True, comment='报销案子主键')
-    name = Column(String(30), comment='患者姓名')
+    content = Column(Text, comment='详细内容')
+    name = Column(String(20), comment='患者姓名')
     admission_date_str = Column(String(255), comment='入院日期字符串')
     admission_date = Column(Date, comment='入院日期')
     discharge_date_str = Column(String(255), comment='出院日期字符串')
@@ -96,19 +97,19 @@ class ZxIeDischarge(Base):
 
     pk_ie_discharge = Column(INTEGER(11), primary_key=True, comment='出院记录信息抽取主键')
     pk_phhd = Column(INTEGER(11), nullable=False, unique=True, comment='报销案子主键')
-    content = Column(String(5000), comment='详细内容')
+    content = Column(Text, comment='详细内容')
-    hospital = Column(String(255), comment='医院')
+    hospital = Column(String(200), comment='医院')
     pk_yljg = Column(INTEGER(11), comment='医院主键')
-    department = Column(String(255), comment='科室')
+    department = Column(String(200), comment='科室')
     pk_ylks = Column(INTEGER(11), comment='科室主键')
-    name = Column(String(30), comment='患者姓名')
+    name = Column(String(20), comment='患者姓名')
     age = Column(INTEGER(3), comment='年龄')
     admission_date_str = Column(String(255), comment='入院日期字符串')
     admission_date = Column(Date, comment='入院日期')
     discharge_date_str = Column(String(255), comment='出院日期字符串')
     discharge_date = Column(Date, comment='出院日期')
-    doctor = Column(String(30), comment='主治医生')
+    doctor = Column(String(20), comment='主治医生')
-    admission_id = Column(String(50), comment='住院号')
+    admission_id = Column(String(20), comment='住院号')
     create_time = Column(DateTime, server_default=text("CURRENT_TIMESTAMP"), comment='创建时间')
     creator = Column(String(255), comment='创建人')
     update_time = Column(DateTime, server_default=text("CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP"),
@@ -122,7 +123,7 @@ class ZxIeResult(Base):
     pk_ocr = Column(INTEGER(11), primary_key=True, comment='图片OCR识别主键')
     pk_phhd = Column(INTEGER(11), nullable=False, comment='报销单主键')
     pk_phrec = Column(INTEGER(11), nullable=False, comment='图片主键')
-    id = Column(CHAR(32), nullable=False, comment='识别批次')
+    id = Column(INTEGER(11), nullable=False, comment='识别批次')
     cfjaddress = Column(String(200), nullable=False, comment='云存储文件名')
     content = Column(String(5000), comment='OCR识别内容')
     rotation_angle = Column(INTEGER(11), comment='旋转角度')
@@ -140,7 +141,7 @@ class ZxIeSettlement(Base):
 
     pk_ie_settlement = Column(INTEGER(11), primary_key=True, comment='结算清单信息抽取主键')
     pk_phhd = Column(INTEGER(11), nullable=False, unique=True, comment='报销案子主键')
-    name = Column(String(30), comment='患者姓名')
+    name = Column(String(20), comment='患者姓名')
     admission_date_str = Column(String(255), comment='入院日期字符串')
     admission_date = Column(Date, comment='入院日期')
     discharge_date_str = Column(String(255), comment='出院日期字符串')
@@ -154,9 +155,9 @@ class ZxIeSettlement(Base):
     personal_funded_amount_str = Column(String(255), comment='自费金额字符串')
     personal_funded_amount = Column(DECIMAL(18, 2), comment='自费金额')
     medical_insurance_type_str = Column(String(255), comment='医保类型字符串')
-    medical_insurance_type = Column(String(40), comment='医保类型')
+    medical_insurance_type = Column(String(10), comment='医保类型')
-    admission_id = Column(String(50), comment='住院号')
+    admission_id = Column(String(20), comment='住院号')
-    settlement_id = Column(String(50), comment='医保结算单号码')
+    settlement_id = Column(String(30), comment='医保结算单号码')
     create_time = Column(DateTime, server_default=text("CURRENT_TIMESTAMP"), comment='创建时间')
     creator = Column(String(255), comment='创建人')
     update_time = Column(DateTime, server_default=text("CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP"),
@@ -414,19 +415,17 @@ class ZxIeReview(Base):
     pk_ie_review = Column(INTEGER(11), primary_key=True, comment='自动审核主键')
     pk_phhd = Column(INTEGER(11), nullable=False, comment='报销案子主键')
     success = Column(BIT(1))
-    integrity = Column(BIT(1))
     has_settlement = Column(BIT(1))
     has_discharge = Column(BIT(1))
     has_cost = Column(BIT(1))
     full_page = Column(BIT(1))
     page_description = Column(String(255), comment='具体缺页描述')
-    consistency = Column(BIT(1), comment='三项资料一致性。0：不一致；1：一致')
     name_match = Column(CHAR(1), server_default=text("'0'"),
-                        comment='三项资料姓名是否一致。0：都不一致；1：一致；2：结算单不一致；3：出院记录不一致；4：费用清单不一致；5：与报销申请对象不一致')
+                        comment='三项资料姓名是否一致。0：不一致；1：一致；2：结算单不一致；3：出院记录不一致；4：费用清单不一致；5：与报销申请对象不一致')
     admission_date_match = Column(CHAR(1), server_default=text("'0'"),
-                                  comment='三项资料入院日期是否一致。0：都不一致；1：一致；2：结算单不一致；3：出院记录不一致；4：费用清单不一致')
+                                  comment='三项资料入院日期是否一致。0：不一致；1：一致；2：结算单不一致；3：出院记录不一致；4：费用清单不一致')
     discharge_date_match = Column(CHAR(1), server_default=text("'0'"),
-                                  comment='三项资料出院日期是否一致。0：都不一致；1：一致；2：结算单不一致；3：出院记录不一致；4：费用清单不一致')
+                                  comment='三项资料出院日期是否一致。0：不一致；1：一致；2：结算单不一致；3：出院记录不一致；4：费用清单不一致')
     create_time = Column(DateTime, server_default=text("CURRENT_TIMESTAMP"), comment='创建时间')
     creator = Column(String(255), comment='创建人')
     update_time = Column(DateTime, server_default=text("CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP"),

delete_deprecated_data.py

@@ -0,0 +1,74 @@
+# 删除本地数据库中的过期数据
+import logging.config
+from datetime import datetime, timedelta
+
+from db import MysqlSession
+from db.mysql import ZxPhhd, ZxIeCost, ZxIeDischarge, ZxIeResult, ZxIeSettlement, ZxPhrec
+from log import LOGGING_CONFIG
+
+# 过期时间(不建议小于1个月)
+EXPIRATION_DAYS = 183
+# 批量删除数量(最好在1000~10000之间)
+BATCH_SIZE = 5000
+# 数据库会话对象
+session = None
+
+
+def batch_delete_by_pk_phhd(model, pk_phhds):
+    """
+    批量删除指定模型中主键在指定列表中的数据
+
+    参数：
+        model：SQLAlchemy模型类（对应数据库表）
+        pk_phhds：待删除的主键值列表
+
+    返回：
+        删除的记录数量
+    """
+    delete_count = (
+        session.query(model)
+        .filter(model.pk_phhd.in_(pk_phhds))
+        .delete(synchronize_session=False)
+    )
+    session.commit()
+    logging.getLogger("sql").info(f"{model.__tablename__}成功删除{delete_count}条数据")
+    return delete_count
+
+
+if __name__ == '__main__':
+    logging.config.dictConfig(LOGGING_CONFIG)
+    deadline = datetime.now() - timedelta(days=EXPIRATION_DAYS)
+    double_deadline = deadline - timedelta(days=EXPIRATION_DAYS)
+    session = MysqlSession()
+    try:
+        while 1:
+            # 已经走完所有流程的案子，超过过期时间后删除
+            phhds = (session.query(ZxPhhd.pk_phhd)
+                     .filter(ZxPhhd.paint_flag == "9")
+                     .filter(ZxPhhd.billdate < deadline)
+                     .limit(BATCH_SIZE)
+                     .all())
+            if not phhds or len(phhds) <= 0:
+                # 没有通过审核，可能会重拍补拍上传的案子，超过两倍过期时间后删除
+                phhds = (session.query(ZxPhhd.pk_phhd)
+                         .filter(ZxPhhd.exsuccess_flag == "9")
+                         .filter(ZxPhhd.paint_flag == "0")
+                         .filter(ZxPhhd.billdate < double_deadline)
+                         .limit(BATCH_SIZE)
+                         .all())
+                if not phhds or len(phhds) <= 0:
+                    # 没有符合条件的数据，退出循环
+                    break
+            pk_phhd_values = [phhd.pk_phhd for phhd in phhds]
+            logging.getLogger("sql").info(f"过期的pk_phhd有{','.join(map(str, pk_phhd_values))}")
+            batch_delete_by_pk_phhd(ZxPhrec, pk_phhd_values)
+            batch_delete_by_pk_phhd(ZxIeResult, pk_phhd_values)
+            batch_delete_by_pk_phhd(ZxIeSettlement, pk_phhd_values)
+            batch_delete_by_pk_phhd(ZxIeDischarge, pk_phhd_values)
+            batch_delete_by_pk_phhd(ZxIeCost, pk_phhd_values)
+            batch_delete_by_pk_phhd(ZxPhhd, pk_phhd_values)
+    except Exception as e:
+        session.rollback()
+        logging.getLogger('error').error('过期数据删除失败！', exc_info=e)
+    finally:
+        session.close()

det_api.py

@@ -0,0 +1,32 @@
+import base64
+
+import cv2
+import numpy as np
+from flask import Flask, request, jsonify
+
+from paddle_detection import detector
+
+app = Flask(__name__)
+
+
+@app.route("/det/detect_books", methods=['POST'])
+def detect_books():
+    try:
+        file = request.files['image']
+        image_data = file.read()
+        nparr = np.frombuffer(image_data, np.uint8)
+        image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+        result = detector.get_book_areas(image)
+        encoded_images = []
+        for i in result:
+            _, encoded_image = cv2.imencode('.jpg', i)
+            byte_stream = encoded_image.tobytes()
+            img_str = base64.b64encode(byte_stream).decode('utf-8')
+            encoded_images.append(img_str)
+        return jsonify(encoded_images), 200
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500
+
+
+if __name__ == '__main__':
+    app.run("0.0.0.0")

docker-compose.dev.yml

@@ -0,0 +1,26 @@
+services:
+  fcb_ai_dev:
+    image: fcb_ai_dev:0.0.10
+    build:
+      context: .
+      dockerfile: Dockerfile.dev
+    # 容器名称，可自定义
+    container_name: fcb_ai_dev
+    hostname: fcb_ai_dev
+    # 始终重启容器
+    restart: always
+    # 端口映射，根据需要修改主机端口
+    ports:
+      - "8022:22"
+    # 数据卷映射，根据实际路径修改
+    volumes:
+      - ./log:/app/log
+      - ./model:/app/model
+    # 启用GPU支持
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - device_ids: [ '0', '1' ]
+              capabilities: [ 'gpu' ]
+              driver: 'nvidia'

docker-compose.yml

@@ -1,150 +1,46 @@
-x-base:
+x-env:
-  &base_template
+  &template
+  image: fcb_photo_review:1.15.7
   restart: always
 
-x-project:
+x-review:
-  &project_template
+  &review_template
-  <<: *base_template
+  <<: *template
-  image: fcb_photo_review:2.0.0
   volumes:
     - ./log:/app/log
-    - ./tmp_img:/app/tmp_img
+    - ./model:/app/model
+  deploy:
+    resources:
+      reservations:
+        devices:
+          - device_ids: [ '0', '1' ]
+            capabilities: [ 'gpu' ]
+            driver: 'nvidia'
 
-x-paddle:
+x-mask:
-  &paddle_template
+  &mask_template
-  <<: *base_template
+  <<: *template
-  image: fcb_paddle:0.0.1
   volumes:
-    - ./services/paddle_services/log:/app/log
+    - ./log:/app/log
-    - ./services/paddle_services/model:/app/model
+  deploy:
-    - ./tmp_img:/app/tmp_img
+    resources:
+      reservations:
+        devices:
+          - device_ids: [ '1' ]
+            capabilities: [ 'gpu' ]
+            driver: 'nvidia'
 
 services:
-  ocr:
-    <<: *paddle_template
-    build:
-      context: ./services/paddle_services
-    container_name: ocr
-    hostname: ocr
-    command: [ '-w', '4', 'ocr:app', '--bind', '0.0.0.0:5001' ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ '0' ]
-              capabilities: [ 'gpu' ]
-              driver: 'nvidia'
-
-  ie_settlement:
-    <<: *paddle_template
-    container_name: ie_settlement
-    hostname: ie_settlement
-    command: [ '-w', '5', 'ie_settlement:app', '--bind', '0.0.0.0:5002' ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ '0' ]
-              capabilities: [ 'gpu' ]
-              driver: 'nvidia'
-
-  ie_discharge:
-    <<: *paddle_template
-    container_name: ie_discharge
-    hostname: ie_discharge
-    command: [ '-w', '5', 'ie_discharge:app', '--bind', '0.0.0.0:5003' ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ '1' ]
-              capabilities: [ 'gpu' ]
-              driver: 'nvidia'
-
-  ie_cost:
-    <<: *paddle_template
-    container_name: ie_cost
-    hostname: ie_cost
-    command: [ '-w', '5', 'ie_cost:app', '--bind', '0.0.0.0:5004' ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ '1' ]
-              capabilities: [ 'gpu' ]
-              driver: 'nvidia'
-
-  clas_orientation:
-    <<: *paddle_template
-    container_name: clas_orientation
-    hostname: clas_orientation
-    command: [ '-w', '3', 'clas_orientation:app', '--bind', '0.0.0.0:5005' ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ '0' ]
-              capabilities: [ 'gpu' ]
-              driver: 'nvidia'
-
-  det_book:
-    <<: *paddle_template
-    container_name: det_book
-    hostname: det_book
-    command: [ '-w', '4', 'det_book:app', '--bind', '0.0.0.0:5006' ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ '1' ]
-              capabilities: [ 'gpu' ]
-              driver: 'nvidia'
-
-  dewarp:
-    <<: *paddle_template
-    container_name: dewarp
-    hostname: dewarp
-    command: [ '-w', '4', 'dewarp:app', '--bind', '0.0.0.0:5007' ]
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - device_ids: [ '0' ]
-              capabilities: [ 'gpu' ]
-              driver: 'nvidia'
-
-  #  clas_text:
-  #    <<: *paddle_template
-  #    container_name: clas_text
-  #    hostname: clas_text
-  #    command: [ '-w', '3', 'clas_text:app', '--bind', '0.0.0.0:5008' ]
-  #    deploy:
-  #      resources:
-  #        reservations:
-  #          devices:
-  #            - device_ids: [ '1' ]
-  #              capabilities: [ 'gpu' ]
-  #              driver: 'nvidia'
-
   photo_review_1:
-    <<: *project_template
+    <<: *review_template
     build:
       context: .
     container_name: photo_review_1
     hostname: photo_review_1
-    depends_on:
-      - ocr
-      - ie_settlement
-      - ie_discharge
-      - ie_cost
-      - clas_orientation
-      - det_book
-      - dewarp
-    #      - clas_text
     command: [ 'photo_review.py', '--clean', 'True' ]
 
   photo_review_2:
-    <<: *project_template
+    <<: *review_template
     container_name: photo_review_2
     hostname: photo_review_2
     depends_on:
@@ -152,41 +48,57 @@ services:
     command: [ 'photo_review.py' ]
 
   photo_review_3:
-    <<: *project_template
+    <<: *review_template
     container_name: photo_review_3
     hostname: photo_review_3
     depends_on:
-      - photo_review_1
+      - photo_review_2
     command: [ 'photo_review.py' ]
 
   photo_review_4:
-    <<: *project_template
+    <<: *review_template
     container_name: photo_review_4
     hostname: photo_review_4
     depends_on:
-      - photo_review_1
+      - photo_review_3
     command: [ 'photo_review.py' ]
 
   photo_review_5:
-    <<: *project_template
+    <<: *review_template
     container_name: photo_review_5
     hostname: photo_review_5
     depends_on:
-      - photo_review_1
+      - photo_review_4
     command: [ 'photo_review.py' ]
 
   photo_mask_1:
-    <<: *project_template
+    <<: *mask_template
     container_name: photo_mask_1
     hostname: photo_mask_1
     depends_on:
-      - photo_review_1
+      - photo_review_5
     command: [ 'photo_mask.py', '--clean', 'True' ]
 
   photo_mask_2:
-    <<: *project_template
+    <<: *mask_template
     container_name: photo_mask_2
     hostname: photo_mask_2
     depends_on:
       - photo_mask_1
     command: [ 'photo_mask.py' ]
+#
+#  photo_review_6:
+#    <<: *review_template
+#    container_name: photo_review_6
+#    hostname: photo_review_6
+#    depends_on:
+#      - photo_mask_2
+#    command: [ 'photo_review.py' ]
+#
+#  photo_review_7:
+#    <<: *review_template
+#    container_name: photo_review_7
+#    hostname: photo_review_7
+#    depends_on:
+#      - photo_review_6
+#    command: [ 'photo_review.py' ]

document/PaddleOCR命令.md

@@ -0,0 +1,153 @@
+# PaddleOCR
+
+------
+
+## 数据集
+
+该部分内容均在PPOCRLabel目录下进行
+
+```bash
+# 进入PPOCRLabel目录
+cd .\PPOCRLabel\
+```
+
+### 打标
+
+可以对PPOCRLabel.py直接使用PyCharm中的Run，但是默认是英文的
+
+```bash
+# 以中文运行打标应用
+python PPOCRLabel.py --lang ch
+# 含有关键词提取的打标
+python PPOCRLabel.py --lang ch --kie True
+```
+
+### 划分数据集
+
+```bash
+python gen_ocr_train_val_test.py --trainValTestRatio 6:2:2 --datasetRootPath ../train_data/drivingData
+```
+
+------
+
+## 检测模型
+
+先回到项目根目录
+
+### 训练
+
+```bash
+python tools/train.py -c configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_student.yml
+```
+
+### 测试
+
+```bash
+python tools/infer_det.py -c configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_student.yml -o Global.pretrained_model=output/det_v4_bankcard/best_accuracy.pdparams Global.infer_img=train_data/drivingData/1.jpg
+```
+
+### 恢复训练
+
+```bash
+python tools/train.py -c configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_student.yml -o Global.checkpoints=./output/det_v4_bankcard/latest
+```
+
+------
+
+## 识别模型
+
+### 训练
+
+```bash
+python tools/train.py -c configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_ampO2_ultra.yml
+```
+
+### 测试
+
+```bash
+python tools/infer_rec.py -c configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_ampO2_ultra.yml -o Global.pretrained_model=output/rec_v4_bankcard/best_accuracy.pdparams Global.infer_img=train_data/drivingData/crop_img/1_crop_0.jpg
+```
+
+------
+
+## 推理模型
+
+### 检测模型转换
+
+```bash
+python tools/export_model.py -c configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_student.yml -o Global.pretrained_model=output/det_v4_bankcard/best_accuracy.pdparams
+```
+
+### 识别模型转换
+
+```bash
+python tools/export_model.py -c configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_ampO2_ultra.yml -o Global.pretrained_model=output/rec_v4_bankcard/best_accuracy.pdparams
+```
+
+### 检测识别测试
+
+```bash
+python tools/infer/predict_system.py --det_model_dir=inference_model/det_v4_bankcard --rec_model_dir=inference_model/rec_v4_bankcard --rec_char_dict_path=ppocr/utils/num_dict.txt --image_dir=train_data/drivingData/1.jpg
+```
+
+------
+
+## 移动端模型
+
+### 检测模型转换
+
+```bash
+paddle_lite_opt --model_file=inference_model/det_v4_bankcard/inference.pdmodel  --param_file=inference_model/det_v4_bankcard/inference.pdiparams  --optimize_out=inference_model/det_v4_nb_bankcard --valid_targets=arm  --optimize_out_type=naive_buffer
+```
+
+### 识别模型转换
+
+```bash
+paddle_lite_opt --model_file=inference_model/rec_v4_bankcard/inference.pdmodel  --param_file=inference_model/rec_v4_bankcard/inference.pdiparams  --optimize_out=inference_model/rec_v4_nb_bankcard --valid_targets=arm  --optimize_out_type=naive_buffer
+```
+
+------
+
+------
+
+# PaddleNLP
+
+## 数据集
+
+使用Label Studio进行数据标注，安装过程省略
+
+```bash
+# 打开Anaconda Prompt
+# 激活安装Label Studio的环境
+conda activate label-studio
+# 启动Label Studio
+label-studio start
+```
+
+[打标流程](https://github.com/PaddlePaddle/PaddleNLP/blob/develop/applications/information_extraction/label_studio_doc.md)
+
+### 数据转换
+
+```bash
+# 进入PaddleNLP\applications\information_extraction后执行
+python label_studio.py --label_studio_file ./document/data/label_studio.json --save_dir ./document/data --splits 0.8 0.1 0.1 --task_type ext
+```
+
+
+
+------
+
+## 训练模型
+
+```bash
+# 进入PaddleNLP\applications\information_extraction\document后执行(双卡训练)
+python -u -m paddle.distributed.launch --gpus "0,1" finetune.py --device gpu --logging_steps 5 --save_steps 25 --eval_steps 25 --seed 42 --model_name_or_path uie-x-base --output_dir ./checkpoint/model_best --train_path data/train.txt --dev_path data/dev.txt --max_seq_len 512 --per_device_train_batch_size 8 --per_device_eval_batch_size 8 --num_train_epochs 10 --learning_rate 1e-5 --do_train --do_eval --do_export --export_model_dir ./checkpoint/model_best --overwrite_output_dir --disable_tqdm False --metric_for_best_model eval_f1 --load_best_model_at_end True --save_total_limit 1
+```
+
+------
+
+参考：
+
+[PaddleOCR训练属于自己的模型详细教程](https://blog.csdn.net/qq_52852432/article/details/131817619?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_baidulandingword~default-0-131817619-blog-124628731.235^v40^pc_relevant_3m_sort_dl_base1&spm=1001.2101.3001.4242.1&utm_relevant_index=3)
+[端侧部署](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.7/deploy/lite/readme_ch.md)
+[PaddleNLP关键信息抽取](https://blog.csdn.net/z5z5z5z56/article/details/130346646)

document/paddle镜像自带依赖.md

@@ -0,0 +1,329 @@
+anyio               4.0.0
+astor               0.8.1
+certifi             2019.11.28
+chardet             3.0.4
+dbus-python         1.2.16
+decorator           5.1.1
+distro-info         0.23+ubuntu1.1
+exceptiongroup      1.1.3
+h11                 0.14.0
+httpcore            1.0.2
+httpx               0.25.1
+idna                2.8
+numpy               1.26.2
+opt-einsum          3.3.0
+paddlepaddle-gpu    2.6.1.post120
+Pillow              10.1.0
+pip                 24.0
+protobuf            4.25.0
+PyGObject           3.36.0
+python-apt          2.0.1+ubuntu0.20.4.1
+requests            2.22.0
+requests-unixsocket 0.2.0
+setuptools          68.2.2
+six                 1.14.0
+sniffio             1.3.0
+unattended-upgrades 0.1
+urllib3             1.25.8
+
+
+
+
+
+
+
+ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.1.0-gpu-cuda12.9-cudnn9.9:
+
+python:3.10.12
+
+Package                  Version
+------------------------ ----------
+anyio                    4.9.0
+certifi                  2025.6.15
+decorator                5.2.1
+exceptiongroup           1.3.0
+h11                      0.16.0
+httpcore                 1.0.9
+httpx                    0.28.1
+idna                     3.10
+networkx                 3.4.2
+numpy                    2.2.6
+nvidia-cublas-cu12       12.9.0.13
+nvidia-cuda-cccl-cu12    12.9.27
+nvidia-cuda-cupti-cu12   12.9.19
+nvidia-cuda-nvrtc-cu12   12.9.41
+nvidia-cuda-runtime-cu12 12.9.37
+nvidia-cudnn-cu12        9.9.0.52
+nvidia-cufft-cu12        11.4.0.6
+nvidia-cufile-cu12       1.14.0.30
+nvidia-curand-cu12       10.3.10.19
+nvidia-cusolver-cu12     11.7.4.40
+nvidia-cusparse-cu12     12.5.9.5
+nvidia-cusparselt-cu12   0.7.1
+nvidia-nccl-cu12         2.26.5
+nvidia-nvjitlink-cu12    12.9.41
+nvidia-nvtx-cu12         12.9.19
+opt-einsum               3.3.0
+paddlepaddle-gpu         3.1.0
+pillow                   11.2.1
+pip                      25.1.1
+protobuf                 6.31.1
+setuptools               59.6.0
+sniffio                  1.3.1
+typing_extensions        4.14.0
+wheel                    0.37.1
+
+
+
+
+
+ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.1.2-paddlepaddle3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5
+
+python:3.10.18
+
+Package                   Version              Editable project location
+------------------------- -------------------- -------------------------
+aiohappyeyeballs          2.6.1
+aiohttp                   3.12.13
+aiosignal                 1.4.0
+aistudio_sdk              0.3.5
+albucore                  0.0.13+pdx
+albumentations            1.4.10+pdx
+alembic                   1.16.2
+annotated-types           0.7.0
+anyio                     4.9.0
+astor                     0.8.1
+asttokens                 3.0.0
+async-timeout             4.0.3
+attrdict3                 2.0.2
+attrs                     25.3.0
+babel                     2.17.0
+bce-python-sdk            0.9.35
+beautifulsoup4            4.13.4
+blinker                   1.9.0
+cachetools                6.1.0
+certifi                   2019.11.28
+cffi                      1.17.1
+chardet                   3.0.4
+charset-normalizer        3.4.2
+chinese-calendar          1.8.0
+click                     8.2.1
+cloudpickle               3.1.1
+colorama                  0.4.6
+colorlog                  6.9.0
+ConfigSpace               1.2.1
+contourpy                 1.3.2
+cssselect                 1.3.0
+cssutils                  2.11.1
+cycler                    0.12.1
+Cython                    3.1.2
+dataclasses-json          0.6.7
+datasets                  3.6.0
+dbus-python               1.2.16
+decorator                 5.2.1
+decord                    0.6.0
+descartes                 1.1.0
+dill                      0.3.4
+distro                    1.9.0
+distro-info               0.23+ubuntu1.1
+easydict                  1.13
+einops                    0.8.1
+et_xmlfile                2.0.0
+exceptiongroup            1.2.2
+executing                 2.2.0
+faiss-cpu                 1.8.0.post1
+fastapi                   0.116.0
+filelock                  3.18.0
+fire                      0.7.0
+FLAML                     2.3.5
+Flask                     3.1.1
+flask-babel               4.0.0
+fonttools                 4.58.5
+frozenlist                1.7.0
+fsspec                    2025.3.0
+ftfy                      6.3.1
+future                    1.0.0
+gast                      0.3.3
+GPUtil                    1.4.0
+greenlet                  3.2.3
+h11                       0.14.0
+h5py                      3.14.0
+hf-xet                    1.1.5
+hpbandster                0.7.4
+httpcore                  1.0.7
+httpx                     0.28.1
+httpx-sse                 0.4.1
+huggingface-hub           0.33.2
+idna                      2.8
+imageio                   2.37.0
+imagesize                 1.4.1
+imgaug                    0.4.0+pdx
+ipython                   8.37.0
+itsdangerous              2.2.0
+jedi                      0.19.2
+jieba                     0.42.1
+Jinja2                    3.1.6
+jiter                     0.10.0
+joblib                    1.5.1
+jsonpatch                 1.33
+jsonpointer               3.0.0
+jsonschema                4.24.0
+jsonschema-specifications 2025.4.1
+kiwisolver                1.4.8
+langchain                 0.3.26
+langchain-community       0.3.27
+langchain-core            0.3.68
+langchain-openai          0.3.27
+langchain-text-splitters  0.3.8
+langsmith                 0.4.4
+lapx                      0.5.11.post1
+lazy_loader               0.4
+llvmlite                  0.44.0
+lmdb                      1.6.2
+lxml                      6.0.0
+Mako                      1.3.10
+markdown-it-py            3.0.0
+MarkupSafe                3.0.2
+marshmallow               3.26.1
+matplotlib                3.5.3
+matplotlib-inline         0.1.7
+mdurl                     0.1.2
+more-itertools            10.7.0
+motmetrics                1.4.0
+msgpack                   1.1.1
+multidict                 6.6.3
+multiprocess              0.70.12.2
+mypy_extensions           1.1.0
+netifaces                 0.11.0
+networkx                  3.4.2
+numba                     0.61.2
+numpy                     1.24.4
+nuscenes-devkit           1.1.11+pdx
+onnx                      1.17.0
+onnxoptimizer             0.3.13
+openai                    1.93.1
+opencv-contrib-python     4.10.0.84
+openpyxl                  3.1.5
+opt-einsum                3.3.0
+optuna                    4.4.0
+orjson                    3.10.18
+packaging                 24.2
+paddle2onnx               2.0.2rc3
+paddle3d                  0.0.0
+paddleclas                2.6.0
+paddledet                 0.0.0
+paddlefsl                 1.1.0
+paddlenlp                 2.8.0.post0
+paddlepaddle-gpu          3.0.0
+paddleseg                 0.0.0.dev0
+paddlets                  1.1.0
+paddlex                   3.1.2                /root/PaddleX
+pandas                    1.3.5
+parso                     0.8.4
+patsy                     1.0.1
+pexpect                   4.9.0
+pillow                    11.1.0
+pip                       25.1.1
+polygraphy                0.49.24
+ppvideo                   2.3.0
+premailer                 3.10.0
+prettytable               3.16.0
+prompt_toolkit            3.0.51
+propcache                 0.3.2
+protobuf                  6.30.1
+psutil                    7.0.0
+ptyprocess                0.7.0
+pure_eval                 0.2.3
+py-cpuinfo                9.0.0
+pyarrow                   20.0.0
+pybind11                  2.13.6
+pybind11-stubgen          2.5.1
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+PyGObject                 3.36.0
+PyMatting                 1.1.14
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+python-apt                2.0.1+ubuntu0.20.4.1
+python-dateutil           2.9.0.post0
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+scikit-image              0.25.2
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+Wand                      0.6.13
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+xxhash                    3.5.0
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log/__init__.py

@@ -1,15 +1,14 @@
 import os
 import socket
 
-# 项目根目录
-PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 # 获取主机名，方便区分容器
 HOSTNAME = socket.gethostname()
 # 检测日志文件的路径是否存在，不存在则创建
 LOG_PATHS = [
-    os.path.join(PROJECT_ROOT, 'log', HOSTNAME, 'ucloud'),
+    f"log/{HOSTNAME}/ucloud",
-    os.path.join(PROJECT_ROOT, 'log', HOSTNAME, 'error'),
+    f"log/{HOSTNAME}/error",
-    os.path.join(PROJECT_ROOT, 'log', HOSTNAME, 'qr'),
+    f"log/{HOSTNAME}/qr",
+    f"log/{HOSTNAME}/sql",
 ]
 for path in LOG_PATHS:
     if not os.path.exists(path):
@@ -76,6 +75,16 @@ LOGGING_CONFIG = {
             'backupCount': 14,
             'encoding': 'utf-8',
         },
+        'sql': {
+            'class': 'logging.handlers.TimedRotatingFileHandler',
+            'level': 'INFO',
+            'formatter': 'standard',
+            'filename': f'log/{HOSTNAME}/sql/fcb_photo_review_sql.log',
+            'when': 'midnight',
+            'interval': 1,
+            'backupCount': 14,
+            'encoding': 'utf-8',
+        },
     },
 
     # loggers定义了日志记录器
@@ -100,5 +109,10 @@ LOGGING_CONFIG = {
             'level': 'DEBUG',
             'propagate': False,
         },
+        'sql': {
+            'handlers': ['console', 'sql'],
+            'level': 'DEBUG',
+            'propagate': False,
+        },
     },
 }

paddle_detection/README.md

@@ -0,0 +1 @@
+README_cn.md

paddle_detection/__init__.py

@@ -0,0 +1,4 @@
+from onnxruntime import InferenceSession
+
+PADDLE_DET = InferenceSession("model/object_det_model/ppyoloe_plus_crn_l_80e_coco_w_nms.onnx",
+                              providers=["CPUExecutionProvider"], provider_options=[{"device_id": 0}])