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* Refactor PaddleSeg with preprocessor && postprocessor * Fix bugs * Delete redundancy code * Modify by comments * Refactor according to comments * Add batch evaluation * Add single test script * Add ppliteseg single test script && fix eval(raise) error * fix bug * Fix evaluation segmentation.py batch predict * Fix segmentation evaluation bug * Fix evaluation segmentation bugs * Update segmentation result docs * Update old predict api and DisableNormalizeAndPermute * Update resize segmentation label map with cv::INTER_NEAREST * Add Model Clone function for PaddleClas && PaddleDet && PaddleSeg * Add multi thread demo * Add python model clone function * Add multi thread python && C++ example * Fix bug * Update python && cpp multi_thread examples * Add cpp && python directory * Add README.md for examples * Delete redundant code * Create README_CN.md * Rename README_CN.md to README.md * Update README.md * Update README.md * Update VERSION_NUMBER * Update requirements.txt * Update README.md * update version in doc: * [Serving]Update Dockerfile (#1037) Update Dockerfile * Add license notice for RVM onnx model file (#1060) * [Model] Add GPL-3.0 license (#1065) Add GPL-3.0 license * PPOCR model support model clone * Update README.md * Update PPOCRv2 && PPOCRv3 clone code * Update PPOCR python __init__ * Add multi thread ocr example code * Update README.md * Update README.md * Update ResNet50_vd_infer multi process code * Add PPOCR multi process && thread example * Update README.md * Update README.md * Update multi-thread docs Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: leiqing <54695910+leiqing1@users.noreply.github.com> Co-authored-by: heliqi <1101791222@qq.com> Co-authored-by: WJJ1995 <wjjisloser@163.com>
32 lines
1.8 KiB
Markdown
32 lines
1.8 KiB
Markdown
English | [简体中文](README_CN.md)
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# RobustVideoMatting Model Deployment
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## Model Description
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- [RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093)
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## List of Supported Models
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Now FastDeploy supports the deployment of the following models
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- [RobustVideoMatting model](https://github.com/PeterL1n/RobustVideoMatting)
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## Download Pre-trained Models
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For developers' testing, models exported by RobustVideoMatting are provided below. Developers can download and use them directly.
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| Model | Parameter Size | Accuracy | Note |
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|:---------------------------------------------------------------- |:----- |:----- | :------ |
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| [rvm_mobilenetv3_fp32.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_mobilenetv3_fp32.onnx) | 15MB ||exported from [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 | |exported from [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 | |exported from [RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093)，GPL-3.0 License |
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| [rvm_resnet50_trt.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/rvm_resnet50_trt.onnx) | 103MB | |exported from [RobustVideoMatting](https://github.com/PeterL1n/RobustVideoMatting/commit/81a1093)，GPL-3.0 License |
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**Note**：
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- If you want to use TensorRT for inference, download onnx model file with the trt suffix is necessary.
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## Detailed Deployment Tutorials
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- [Python Deployment](python)
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- [C++ Deployment](cpp)
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