mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-07 17:41:52 +08:00
[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:
61
examples/vision/sr/basicvsr/python/README.md
Normal file
61
examples/vision/sr/basicvsr/python/README.md
Normal file
@@ -0,0 +1,61 @@
|
||||
# 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HWC,BGR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)
|
Reference in New Issue
Block a user