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* [Model] add vsr serials models Signed-off-by: ChaoII <849453582@qq.com> * [Model] add vsr serials models Signed-off-by: ChaoII <849453582@qq.com> * fix build problem Signed-off-by: ChaoII <849453582@qq.com> * fix code style Signed-off-by: ChaoII <849453582@qq.com> * modify according to review suggestions Signed-off-by: ChaoII <849453582@qq.com> * modify vsr trt example Signed-off-by: ChaoII <849453582@qq.com> * update sr directory * fix BindPPSR * add doxygen comment * add sr unit test * update model file url Signed-off-by: ChaoII <849453582@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
75 lines
2.8 KiB
Markdown
75 lines
2.8 KiB
Markdown
# BasicVSR C++部署示例
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本目录下提供`infer.cc`快速完成BasicVSR在CPU/GPU,以及GPU上通过TensorRT加速部署的示例。
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在部署前,需确认以下两个步骤
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- 1. 软硬件环境满足要求,参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
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- 2. 根据开发环境,下载预编译部署库和samples代码,参考[FastDeploy预编译库](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
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以Linux上BasicVSR推理为例,在本目录执行如下命令即可完成编译测试(如若只需在CPU上部署,可在[Fastdeploy C++预编译库](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md/CPP_prebuilt_libraries.md)下载CPU推理库)
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```bash
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#下载SDK,编译模型examples代码(SDK中包含了examples代码)
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# fastdeploy版本 >= 0.7.0
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wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.7.0.tgz
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tar xvf fastdeploy-linux-x64-gpu-0.7.0.tgz
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cd fastdeploy-linux-x64-gpu-0.7.0/examples/vision/sr/basicvsr/cpp/
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mkdir build && cd build
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.7.0
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make -j
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# 下载BasicVSR模型文件和测试视频
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wget https://bj.bcebos.com/paddlehub/fastdeploy/BasicVSR_reds_x4.tar
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tar -xvf BasicVSR_reds_x4.tar
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wget https://bj.bcebos.com/paddlehub/fastdeploy/vsr_src.mp4
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# CPU推理
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./infer_demo BasicVSR_reds_x4 vsr_src.mp4 0 2
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# GPU推理
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./infer_demo BasicVSR_reds_x4 vsr_src.mp4 1 2
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# GPU上TensorRT推理
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./infer_demo BasicVSR_reds_x4 vsr_src.mp4 2 2
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```
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以上命令只适用于Linux或MacOS, Windows下SDK的使用方式请参考:
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- [如何在Windows中使用FastDeploy C++ SDK](../../../../../docs/cn/faq/use_sdk_on_windows.md)
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## BasicVSR C++接口
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### BasicVSR类
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```c++
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fastdeploy::vision::sr::BasicVSR(
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const string& model_file,
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const string& params_file = "",
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const RuntimeOption& runtime_option = RuntimeOption(),
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const ModelFormat& model_format = ModelFormat::PADDLE)
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```
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BasicVSR模型加载和初始化,其中model_file为导出的Paddle模型格式。
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**参数**
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> * **model_file**(str): 模型文件路径
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> * **params_file**(str): 参数文件路径
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> * **runtime_option**(RuntimeOption): 后端推理配置,默认为None,即采用默认配置
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> * **model_format**(ModelFormat): 模型格式,默认为Paddle格式
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#### Predict函数
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> ```c++
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> BasicVSR::Predict(std::vector<cv::Mat>& imgs, std::vector<cv::Mat>& results)
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> ```
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>
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> 模型预测接口,输入图像直接输出检测结果。
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>
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> **参数**
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>
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> > * **imgs**: 输入视频帧序列,注意需为HWC,BGR格式
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> > * **results**: 视频超分结果,超分后的视频帧序列
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- [模型介绍](../../)
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- [Python部署](../python)
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- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)
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