[Model] add vsr serials models (#518)

* [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>
This commit is contained in:
ChaoII
2022-11-21 10:58:28 +08:00
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# BasicVSR Python部署示例
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. FastDeploy Python whl包安装参考[FastDeploy Python安装](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
本目录下提供`infer.py`快速完成BasicVSR在CPU/GPU以及GPU上通过TensorRT加速部署的示例。执行如下脚本即可完成
```bash
#下载部署示例代码
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/sr/basicvsr/python
# 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
python infer.py --model BasicVSR_reds_x4 --video person.mp4 --frame_num 2 --device cpu
# GPU推理
python infer.py --model BasicVSR_reds_x4 --video person.mp4 --frame_num 2 --device gpu
# GPU上使用TensorRT推理 注意TensorRT推理第一次运行有序列化模型的操作有一定耗时需要耐心等待
python infer.py --model BasicVSR_reds_x4 --video person.mp4 --frame_num 2 --device gpu --use_trt True
```
## BasicVSR Python接口
```python
fd.vision.sr.BasicVSR(model_file, params_file, runtime_option=None, model_format=ModelFormat.PADDLE)
```
BasicVSR模型加载和初始化其中model_file和params_file为训练模型导出的Paddle inference文件具体请参考其文档说明[模型导出](https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/zh_CN/tutorials/video_super_resolution.md)
**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
> ```python
> BasicVSR.predict(frames)
> ```
>
> 模型预测结口,输入图像直接输出检测结果。
>
> **参数**
>
> > * **frames**(list[np.ndarray]): 输入数据注意需为HWCBGR格式, frames为视频帧序列
> **返回** list[np.ndarray] 为超分后的视频帧序列
## 其它文档
- [BasicVSR 模型介绍](..)
- [BasicVSR C++部署](../cpp)
- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)