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	[Doc]Add English version of documents in examples (#1070)
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							| @@ -0,0 +1,62 @@ | ||||
| [English](README.md) | 简体中文 | ||||
| # PP-MSVSR 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PP-MSVSR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/ppmsvsr/python | ||||
|  | ||||
| # 下载VSR模型文件和测试视频 | ||||
| wget https://bj.bcebos.com/paddlehub/fastdeploy/PP-MSVSR_reds_x4.tar | ||||
| tar -xvf PP-MSVSR_reds_x4.tar | ||||
| wget https://bj.bcebos.com/paddlehub/fastdeploy/vsr_src.mp4 | ||||
| # CPU推理 | ||||
| python infer.py --model PP-MSVSR_reds_x4 --video vsr_src.mp4 --frame_num 2 --device cpu | ||||
| # GPU推理 | ||||
| python infer.py --model PP-MSVSR_reds_x4 --video vsr_src.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 PP-MSVSR_reds_x4 --video vsr_src.mp4 --frame_num 2 --device gpu --use_trt True | ||||
| ``` | ||||
|  | ||||
| ## VSR Python接口 | ||||
|  | ||||
| ```python | ||||
| fd.vision.sr.PPMSVSR(model_file, params_file, runtime_option=None, model_format=ModelFormat.PADDLE) | ||||
| ``` | ||||
|  | ||||
| PP-MSVSR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 | ||||
| > PPMSVSR.predict(frames) | ||||
| > ``` | ||||
| > | ||||
| > 模型预测接口,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 | ||||
|  | ||||
| - [PP-MSVSR 模型介绍](..) | ||||
| - [PP-MSVSR C++部署](../cpp) | ||||
| - [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md) | ||||
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