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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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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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| [rvm_mobilenetv3_fp32.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_mobilenetv3_fp32.onnx) | 15MB ||此模型文件来源于[RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093),GPL-3.0 License |
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|:---------------------------------------------------------------- |:----- |:----- | :------ |
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| [rvm_resnet50_fp32.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_resnet50_fp32.onnx) | 103MB | |此模型文件来源于[RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093),GPL-3.0 License |
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| [rvm_mobilenetv3_fp32.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_mobilenetv3_fp32.onnx) | 15MB | - |
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| [rvm_mobilenetv3_trt.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_mobilenetv3_trt.onnx) | 15MB | |此模型文件来源于[RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093),GPL-3.0 License |
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| [rvm_resnet50_fp32.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_resnet50_fp32.onnx) | 103MB | - |
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| [rvm_resnet50_trt.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_resnet50_trt.onnx) | 103MB | | 此模型文件来源于[RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093),GPL-3.0 License |
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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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**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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- 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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