forked from PulseFocusPlatform/PulseFocusPlatform
29 lines
1.3 KiB
Markdown
29 lines
1.3 KiB
Markdown
|
# PaddleDetection 预测部署
|
|||
|
|
|
|||
|
|
`PaddleDetection`目前支持：
|
|||
|
|
- 使用`Python`和`C++`部署在`Windows` 和`Linux` 上运行
|
|||
|
|
- [在线服务化部署](./serving/README.md)
|
|||
|
|
- [移动端部署](https://github.com/PaddlePaddle/Paddle-Lite-Demo)
|
|||
|
|
|
|||
|
|
## 模型导出
|
|||
|
|
训练得到一个满足要求的模型后，如果想要将该模型接入到C++服务器端预测库或移动端预测库，需要通过`tools/export_model.py`导出该模型。
|
|||
|
|
|
|||
|
|
- [导出教程](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.1/static/docs/advanced_tutorials/deploy/EXPORT_MODEL.md)
|
|||
|
|
|
|||
|
|
模型导出后, 目录结构如下(以`yolov3_darknet`为例):
|
|||
|
|
```
|
|||
|
|
yolov3_darknet # 模型目录
|
|||
|
|
├── infer_cfg.yml # 模型配置信息
|
|||
|
|
├── __model__ # 模型文件
|
|||
|
|
└── __params__ # 参数文件
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
预测时，该目录所在的路径会作为程序的输入参数。
|
|||
|
|
|
|||
|
|
## 预测部署
|
|||
|
|
- [1. Python预测(支持 Linux 和 Windows)](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.1/static/deploy/python)
|
|||
|
|
- [2. C++预测(支持 Linux 和 Windows)](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.1/static/deploy/cpp)
|
|||
|
|
- [3. 在线服务化部署](./serving/README.md)
|
|||
|
|
- [4. 移动端部署](https://github.com/PaddlePaddle/Paddle-Lite-Demo)
|
|||
|
|
- [5. Jetson设备部署](./cpp/docs/Jetson_build.md)
|