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FastDeploy/examples/vision/matting/rvm/README.md
huangjianhui 6c4a08e416 [Other] PPOCR models support model clone function (#1072) 
* 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>
2023-01-17 15:16:41 +08:00

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RobustVideoMatting Model Deployment

Model Description

List of Supported Models

Now FastDeploy supports the deployment of the following models

Download Pre-trained Models

For developers' testing, models exported by RobustVideoMatting are provided below. Developers can download and use them directly.

Model Parameter Size Accuracy Note
rvm_mobilenetv3_fp32.onnx 15MB exported from RobustVideoMatting，GPL-3.0 License
rvm_resnet50_fp32.onnx 103MB exported from RobustVideoMatting，GPL-3.0 License
rvm_mobilenetv3_trt.onnx 15MB exported from RobustVideoMatting，GPL-3.0 License
rvm_resnet50_trt.onnx 103MB exported from RobustVideoMatting，GPL-3.0 License

Note：

  • If you want to use TensorRT for inference, download onnx model file with the trt suffix is necessary.

Detailed Deployment Tutorials