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Hu Chuqi
2023-01-06 09:34:28 +08:00
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examples/vision/generation/anemigan/cpp/README.md
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@@ -1,40 +1,41 @@
# AnimeGAN C++部署示例
English | [简体中文](README_CN.md)
# AnimeGAN C++ Deployment Example
本目录下提供`infer.cc`快速完成AnimeGAN在CPU/GPU部署的示例。
This directory provides examples that `infer.cc` fast finishes the deployment of AnimeGAN on CPU/GPU.
在部署前，需确认以下两个步骤
Two steps before deployment
- 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)
- 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. Download the precompiled deployment library and samples code according to your development environment. Refer to [FastDeploy Precompiled Library](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
以Linux上AnimeGAN推理为例，在本目录执行如下命令即可完成编译测试，支持此模型需保证FastDeploy版本1.0.2以上(x.x.x>=1.0.2)
Taking the AnimeGAN inference on Linux as an example, the compilation test can be completed by executing the following command in this directory. FastDeploy version 1.0.2 or above (x.x.x>=1.0.2) is required to support this model.
```bash
mkdir build
cd build
# 下载FastDeploy预编译库，用户可在上文提到的`FastDeploy预编译库`中自行选择合适的版本使用
# Download the FastDeploy precompiled library. Users can choose your appropriate version in the `FastDeploy Precompiled Library` mentioned above
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
tar xvf fastdeploy-linux-x64-x.x.x.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
make -j
# 下载准备好的模型文件和测试图片
# Download the prepared model files and test images
wget https://bj.bcebos.com/paddlehub/fastdeploy/style_transfer_testimg.jpg
wget https://bj.bcebos.com/paddlehub/fastdeploy/animegan_v1_hayao_60_v1.0.0.tgz
tar xvfz animegan_v1_hayao_60_v1.0.0.tgz
# CPU推理
# CPU inference
./infer_demo --model animegan_v1_hayao_60 --image style_transfer_testimg.jpg --device cpu
# GPU推理
# GPU inference
./infer_demo --model animegan_v1_hayao_60 --image style_transfer_testimg.jpg --device gpu
```
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)
The above command works for Linux or MacOS. For SDK in Windows, refer to
- [How to use FastDeploy C++ SDK in Windows](../../../../../docs/cn/faq/use_sdk_on_windows.md)
## AnimeGAN C++接口
## AnimeGAN C++ Interface
### AnimeGAN类
### AnimeGAN Class
```c++
fastdeploy::vision::generation::AnimeGAN(
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const ModelFormat& model_format = ModelFormat::PADDLE)
```
AnimeGAN模型加载和初始化，其中model_file为导出的Paddle模型结构文件，params_file为模型参数文件。
AnimeGAN model loading and initialization, among which model_file is the exported Paddle model file and params_file is the parameter file.
**参数**
**Parameter**
> * **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
> * **model_file**(str): Model file path
> * **params_file**(str): Parameter file path
> * **runtime_option**(RuntimeOption): Backend Inference configuration. None by default. (use the default configuration)
> * **model_format**(ModelFormat): Model format. Paddle format by default
#### Predict函数
#### Predict Function
> ```c++
> bool AnimeGAN::Predict(cv::Mat& image, cv::Mat* result)
> ```
>
> 模型预测入口，输入图像输出风格迁移后的结果。
> Model prediction interface. Input an image and output the style transfer result
>
> **参数**
> **Parameter**
>
> > * **image**: 输入数据，注意需为HWC，BGR格式
> > * **result**: 风格转换后的图像，BGR格式
> > * **image**: Input data in HWC or BGR format
> > * **result**: Image after style style transfer in BGR format
#### BatchPredict函数
#### BatchPredict Function
> ```c++
> bool AnimeGAN::BatchPredict(const std::vector<cv::Mat>& images, std::vector<cv::Mat>* results);
> ```
>
> 模型预测入口，输入一组图像并输出风格迁移后的结果。
> Model prediction interface. Input a set of images and output style transfer results.
>
> **参数**
> **Parameter**
>
> > * **images**: 输入数据，一组图像数据，注意需为HWC，BGR格式
> > * **results**: 风格转换后的一组图像，BGR格式
> > * **images**: Input data in HWC or BGR format
> > * **results**: A set of images after style transfer in BGR format.
- [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)
- [Model Description](../../)
- [Python Deployment](../python)
- [How to switch the model inference backend engine](../../../../../docs/cn/faq/how_to_change_backend.md)