mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
c7ec14de95
* [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
|
||
|
||
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。
|
||
|
||
在部署前，需确认以下两个步骤
|
||
|
||
- 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)
|
||
- 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)
|
||
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）
|
||
|
||
```bash
|
||
#下载SDK，编译模型examples代码（SDK中包含了examples代码）
|
||
# fastdeploy版本 >= 0.7.0
|
||
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.7.0.tgz
|
||
tar xvf fastdeploy-linux-x64-gpu-0.7.0.tgz
|
||
cd fastdeploy-linux-x64-gpu-0.7.0/examples/vision/sr/basicvsr/cpp/
|
||
mkdir build && cd build
|
||
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.7.0
|
||
make -j
|
||
|
||
# 下载BasicVSR模型文件和测试视频
|
||
wget https://bj.bcebos.com/paddlehub/fastdeploy/BasicVSR_reds_x4.tar
|
||
tar -xvf BasicVSR_reds_x4.tar
|
||
wget https://bj.bcebos.com/paddlehub/fastdeploy/vsr_src.mp4
|
||
|
||
|
||
# CPU推理
|
||
./infer_demo BasicVSR_reds_x4 vsr_src.mp4 0 2
|
||
# GPU推理
|
||
./infer_demo BasicVSR_reds_x4 vsr_src.mp4 1 2
|
||
# GPU上TensorRT推理
|
||
./infer_demo BasicVSR_reds_x4 vsr_src.mp4 2 2
|
||
```
|
||
|
||
以上命令只适用于Linux或MacOS, Windows下SDK的使用方式请参考:
|
||
- [如何在Windows中使用FastDeploy C++ SDK](../../../../../docs/cn/faq/use_sdk_on_windows.md)
|
||
|
||
## BasicVSR C++接口
|
||
|
||
### BasicVSR类
|
||
|
||
```c++
|
||
fastdeploy::vision::sr::BasicVSR(
|
||
const string& model_file,
|
||
const string& params_file = "",
|
||
const RuntimeOption& runtime_option = RuntimeOption(),
|
||
const ModelFormat& model_format = ModelFormat::PADDLE)
|
||
```
|
||
|
||
BasicVSR模型加载和初始化，其中model_file为导出的Paddle模型格式。
|
||
|
||
**参数**
|
||
|
||
> * **model_file**(str): 模型文件路径
|
||
> * **params_file**(str): 参数文件路径
|
||
> * **runtime_option**(RuntimeOption): 后端推理配置，默认为None，即采用默认配置
|
||
> * **model_format**(ModelFormat): 模型格式，默认为Paddle格式
|
||
|
||
#### Predict函数
|
||
|
||
> ```c++
|
||
> BasicVSR::Predict(std::vector<cv::Mat>& imgs, std::vector<cv::Mat>& results)
|
||
> ```
|
||
>
|
||
> 模型预测接口，输入图像直接输出检测结果。
|
||
>
|
||
> **参数**
|
||
>
|
||
> > * **imgs**: 输入视频帧序列，注意需为HWC，BGR格式
|
||
> > * **results**: 视频超分结果，超分后的视频帧序列
|
||
|
||
- [模型介绍](../../)
|
||
- [Python部署](../python)
|
||
- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)
|