# forecastEval

**Repository Path**: bjspd/forecastEval

## Basic Information

- **Project Name**: forecastEval
- **Description**: 降雨预报评估
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2020-05-06
- **Last Updated**: 2024-05-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# forecastEval

降水预报评价系统
--北京思湃德信息技术有限公司



#### 使用说明

## 服务启动
- 进入conda虚拟环境
    + conda activate forecast
- 启动服务脚本
    + python forecastEvalApi.py
- 实例  
```console
(base) ➜  ~ conda activate forecast
(forecast) E:\projects\forecastEval>python forecastEvalApi.py
 * Serving Flask app "forecastEvalApi" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://0.0.0.0:5331/ (Press CTRL+C to quit)


```

## iou接口

- 接口调用说明
    + 接口：
      url = `http://127.0.0.1:5331/forecastEval/iou`
    + 输入参数：
      param = `{"predict_image_path": "prediction/d1.tif", "real_image_path": "real/d1.tif"}`
    + 请求方式：
      get
- 实例
(forecast) E:\projects\forecastEval>python -c "import apiTest; apiTest.TestIouEval()"
{'predict_image_path': 'prediction/d1.tif', 'real_image_path': 'real/d1.tif'}
[0.7402589723881038,0.0,-1,-1,-1,-1,0.7411458641281854,0.0,-1,-1,-1,-1]

```
## Wavelet接口

- 接口调用说明
    + 接口：
      url = `http://127.0.0.1:5331/forecastEval/wavelet`
    + 输入参数：
      param = `{"prediction_dir": "prediction", "real_dir": "real"}`
    + 请求方式：
      get
- 实例
(forecast) E:\projects\forecastEval>python -c "import apiTest; apiTest.TestWaveletEval()"
{'prediction_dir': 'prediction', 'real_dir': 'real'}
[[0.48,0.27,0.15,0.0,0.0,0.0],[0.44,0.28,0.15,0.0,0.0,0.0],[0.45,0.28,0.16,0.0,0.0,0.0],[0.44,0.29,0.15,0.0,0.0,0.0],[0.42,0.29,0.19,0.03,0.0,0.0],[0.35,0.27,0.2,0.0
9,0.0,0.0],[0.13,0.29,0.28,0.1,0.0,0.0]]