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718698a32a
* 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 Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
31 lines
1.2 KiB
Markdown
Executable File
31 lines
1.2 KiB
Markdown
Executable File
# RobustVideoMatting 模型部署
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## 模型版本说明
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- [RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093)
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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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- [RobustVideoMatting 模型](https://github.com/PeterL1n/RobustVideoMatting)
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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RobustVideoMatting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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| [rvm_mobilenetv3_fp32.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_mobilenetv3_fp32.onnx) | 15MB | - |
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| [rvm_resnet50_fp32.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_resnet50_fp32.onnx) | 103MB | - |
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| [rvm_mobilenetv3_trt.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_mobilenetv3_trt.onnx) | 15MB | - |
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| [rvm_resnet50_trt.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_resnet50_trt.onnx) | 103MB | - |
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**Note**：
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- 如果要使用 TensorRT 进行推理，需要下载后缀为 trt 的 onnx 模型文件
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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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