mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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WJJ1995
7150e6405c
* 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>
26 lines
866 B
Markdown
26 lines
866 B
Markdown
# FSANet 模型部署
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## 模型版本说明
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- [FSANet](https://github.com/omasaht/headpose-fsanet-pytorch/commit/002549c)
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## 支持模型列表
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目前FastDeploy支持如下模型的部署
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- [FSANet 模型](https://github.com/omasaht/headpose-fsanet-pytorch)
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## 下载预训练模型
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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。
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| 模型 | 参数大小 | 精度 | 备注 |
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|:---------------------------------------------------------------- |:----- |:----- | :------ |
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| [fsanet-1x1.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/fsanet-1x1.onnx) | 1.2M | - |
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| [fsanet-var.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/fsanet-var.onnx) | 1.2MB | - |
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## 详细部署文档
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- [Python部署](python)
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- [C++部署](cpp)
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