# PCB缺陷检测

**Repository Path**: MMDCCJ/PCB_Detection_System

## Basic Information

- **Project Name**: PCB缺陷检测
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2025-03-15
- **Last Updated**: 2025-03-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PCB缺陷检测系统
基于YOLOv7优化的YOLOv7_PCB模型
## 设置与初始化
修改`Server_code/Config.py`文件，初始化`SQL`请运行`Server_code/sql/start.sql`
### 参数详情
```python

    Mysql_host = "localhost" # 数据库Host
    Mysql_username = "PCB" # 用户名
    Mysql_password = "020522" # 密码
    Mysql_db = "PCB_Detection_DB" # 所选数据库名
    project_path = "E:\code\Graduation_project\module\yolov7_PCB_Server\server_code" # 项目下server_code位置
    Image_path = f"{project_path}\dataset\images" # 图片存储位置
    Image_detect_path = f"{Image_path}\detected" # 预测图片存储位置
    temp_Image_path = f"{Image_path}\\temp" # 临时图片存储位置
    origin_Image_path = f"{Image_path}\origins" # 预测后原始图片存储位置
    Text_path = f"{project_path}\dataset\labels" # 标签位置
    model_path = "runs/train/yolo-tiny-pcb-500/weights/best.pt" # 所选择模型
```
## 运行
### Step 0 配置相关环境
请先下载或自行训练服务运行所需的权重，这是一个简单的模型权重示例 `https://pan.baidu.com/s/10jxO3mjFEfo5xHNd3IvPAw?pwd=veme`，请将权重放在项目下`weights`并修改`Server_code/Config.py`文件下的`model_path`参数，`model_path`参数为服务器调用模型的相对位置。
### Step 1 启动Redis服务

### step 2 启动Python服务器
```python
uvicorn server:app --reload"
```
### step 3 启动Vue服务(开发模式)
```shell
npm run dev
```