# SmartCarriageScan

**Repository Path**: taj5/SmartCarriageScan

## Basic Information

- **Project Name**: SmartCarriageScan
- **Description**: 车厢列检
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-02-19
- **Last Updated**: 2025-04-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


# 元宝山装车火车视觉检测项目

## 项目结构
```bash
.
├── scs/ # 车厢列检
│   ├── __init__.py
│   ├── main.py          # 主应用入口
│   ├── config.py        # 配置管理
│   ├── dependencies.py  # 依赖注入
│   ├── processing.py    # 核心处理逻辑
│   ├── schemas.py       # 数据模型定义
│   └── utils/
│       ├── __init__.py
│       ├── cache.py     # 缓存管理
│       └── helpers.py   # 工具函数
├── test/ # 测试用例
|   ├── 00001.jpg # 车厢列检测试用例
|   ├── 1431652.jpg # 车号识别测试用例
|   └──...
├── images/ # 结果图片保存目录
├── logs/ # 日志目录
├── models/ # 模型目录
│   ├── region_detection.pt # 车厢列检定位模型
│   ├── bolt_cls.pt # 门闩分类模型
│   ├── ocr_model # 车号识别模型
│   └── ...
├── start.sh # 服务启动脚本
├── stop.sh # 服务停止脚本
├── README.md
└── requirements.txt
```

## 启动服务
```bash
cd SmartCarriageScan
./start.sh
```

## 接口说明
### 车厢列检
```bash
# 上传文件
curl -X POST "http://localhost:9527/analyze" \
  -H "Content-Type: multipart/form-data" \
  -F "file=@test/00001.jpg" \
  -F "threshold=0.9" # 可选参数，默认0.9, 0-1之间，值越大，异常检出率越高

# 传递路径
curl -X POST "http://localhost:9527/analyze" \
  -H "Content-Type: multipart/form-data" \
  -F "local_file=/home/mt/wuhao-dev/SmartCarriageScan/test/00001.jpg" \
  -F "threshold=0.9"

{
    "image_name": "00187.jpg",
    "image_md5": "462c811c4b0fc190a498634c7abaac78",
    "receiving_time": "2025-02-21 09:37:51",
    "processing_time": 1.3444762229919434,
    "image_saved_path": "images/2025-02-21/00187.jpg_result.jpg",
    "detection_results": [
        {
            "label": "bolt",
            "bbox": [
                1338.16650390625,
                729.670166015625,
                1410.9595947265625,
                827.3561401367188
            ],
            "det_score": 0.6140782833099365,
            "cls_score": 0.9998453855514526
        }
    ]
}
```

### 车号识别
```bash
# 上传文件
curl -X POST "http://localhost:9527/box_ocr" \
  -H "Content-Type: multipart/form-data" \
  -F "file=@test/1431652.jpg"

# 传递服务器文件路径
curl -X POST "http://localhost:9527/carriage_ocr" \
  -H "Content-Type: multipart/form-data" \
  -F "local_file=/home/mt/wuhao-dev/SmartCarriageScan/test/ocr_1431652.jpg" 

# 传递服务器文件路径
curl -X POST "http://localhost:9527/box_ocr" \
  -H "Content-Type: multipart/form-data" \
  -F "local_file=/home/mt/wuhao-dev/SmartCarriageScan/test/10.jpg" 

# 车型车号识别返回结构
{
    "image_name":"1431652.jpg",
    "image_md5":"",
    "receiving_time":"2025-02-21 23:53:12",
    "processing_time":4.541287899017334,
    "image_saved_path":"",
    "answer":"C62BK@1431652",
    "carriage_type":"C62BK",
    "carriage_id":"1431652"
}

# 集装箱箱号识别返回结构
{
  "image_name":"10.jpg",
  "image_md5":"967a43f56eeffbd76c5a60acfe2e7d8b",
  "receiving_time":"2025-04-07 14:48:10",
  "processing_time":3.232102632522583,
  "image_saved_path":"ocr_results/2025-04-07/967a43f56eeffbd76c5a60acfe2e7d8b.jpg",
  "answer":"CP0C174365|CICU318777",
  "carriage_type":"NA",
  "carriage_id":"NA"
}
```