mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-23 00:17:25 +08:00
[Doc] Add doc for vdl serving (#1110)
* add doc for vdl serving * add doc for vdl serving * add doc for vdl serving * fix link * fix link * fix gif size * fix gif size * add english version * fix links * fix links * update format * update docs * update docs * update docs * update docs * update docs * update docs --------- Co-authored-by: heliqi <1101791222@qq.com>
This commit is contained in:
@@ -77,3 +77,17 @@ output_name: CLAS_RESULT
|
||||
## 配置修改
|
||||
|
||||
当前默认配置在GPU上运行TensorRT引擎, 如果要在CPU或其他推理引擎上运行。 需要修改`models/runtime/config.pbtxt`中配置,详情请参考[配置文档](../../../../../serving/docs/zh_CN/model_configuration.md)
|
||||
|
||||
## 使用VisualDL进行可视化部署
|
||||
|
||||
可以使用VisualDL进行[Serving可视化部署](../../../../../serving/docs/zh_CN/vdl_management.md),上述启动服务、配置修改以及客户端请求的操作都可以基于VisualDL进行。
|
||||
|
||||
通过VisualDL的可视化界面对PaddleClas进行服务化部署只需要如下三步:
|
||||
```text
|
||||
1. 载入模型库:./vision/classification/paddleclas/serving/models
|
||||
2. 下载模型资源文件:点击runtime模型,点击版本号1添加预训练模型,选择图像分类模型ResNet50_vd进行下载。
|
||||
3. 启动服务:点击启动服务按钮,输入启动参数。
|
||||
```
|
||||
<p align="center">
|
||||
<img src="https://user-images.githubusercontent.com/22424850/211708702-828d8ad8-4e85-457f-9c62-12f53fc81853.gif" width="100%"/>
|
||||
</p>
|
||||
|
||||
Reference in New Issue
Block a user