Files
FastDeploy/examples/vision/headpose/fsanet/README.md
WJJ1995 7150e6405c [Model] Add FSANet model (#448)
* add yolov5cls

* fixed bugs

* fixed bugs

* fixed preprocess bug

* add yolov5cls readme

* deal with comments

* Add YOLOv5Cls Note

* add yolov5cls test

* add rvm support

* support rvm model

* add rvm demo

* fixed bugs

* add rvm readme

* add TRT support

* add trt support

* add rvm test

* add EXPORT.md

* rename export.md

* rm poros doxyen

* deal with comments

* deal with comments

* add rvm video_mode note

* add fsanet

* fixed bug

* update readme

* fixed for ci

* deal with comments

* deal with comments

* deal with comments

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2022-11-04 11:00:35 +08:00

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# FSANet 模型部署
## 模型版本说明
- [FSANet](https://github.com/omasaht/headpose-fsanet-pytorch/commit/002549c)
## 支持模型列表
目前FastDeploy支持如下模型的部署
- [FSANet 模型](https://github.com/omasaht/headpose-fsanet-pytorch)
## 下载预训练模型
为了方便开发者的测试下面提供了PFLD导出的各系列模型开发者可直接下载使用。
| 模型 | 参数大小 | 精度 | 备注 |
|:---------------------------------------------------------------- |:----- |:----- | :------ |
| [fsanet-1x1.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/fsanet-1x1.onnx) | 1.2M | - |
| [fsanet-var.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/fsanet-var.onnx) | 1.2MB | - |
## 详细部署文档
- [Python部署](python)
- [C++部署](cpp)