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Hu Chuqi
2023-01-06 09:34:28 +08:00
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# AnimeGAN Python部署示例
English | [简体中文](README_CN.md)
# AnimeGAN Python Deployment Example
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. FastDeploy Python whl包安装，参考[FastDeploy Python安装](../../../../../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. Install FastDeploy Python whl package. Refer to [FastDeploy Python Installation](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
本目录下提供`infer.py`快速完成AnimeGAN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
This directory provides examples that `infer.py` fast finishes the deployment of AnimeGAN on CPU/GPU and GPU accelerated by TensorRT. The script is as follows
```bash
# 下载部署示例代码
# Download the example code for deployment
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/generation/anemigan/python
# 下载准备好的测试图片
# Download prepared test images
wget https://bj.bcebos.com/paddlehub/fastdeploy/style_transfer_testimg.jpg
# CPU推理
# CPU inference
python infer.py --model animegan_v1_hayao_60 --image style_transfer_testimg.jpg --device cpu
# GPU推理
# GPU inference
python infer.py --model animegan_v1_hayao_60 --image style_transfer_testimg.jpg --device gpu
```
## AnimeGAN Python接口
## AnimeGAN Python Interface
```python
fd.vision.generation.AnimeGAN(model_file, params_file, runtime_option=None, model_format=ModelFormat.PADDLE)
```
AnimeGAN模型加载和初始化，其中model_file和params_file为用于Paddle inference的模型结构文件和参数文件。
AnimeGAN model loading and initialization, among which model_file and params_file are the model file and parameter file for Paddle inference.
**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, which is the default configuration
> * **model_format**(ModelFormat): Model format. PADDLE format by default
### predict函数
### predict function
> ```python
> AnimeGAN.predict(input_image)
> ```
>
> 模型预测入口，输入图像输出风格迁移后的结果。
> Model prediction interface. Input images and output style transfer results.
>
> **参数**
> **Parameter**
>
> > * **input_image**(np.ndarray): 输入数据，注意需为HWC，BGR格式
> > * **input_image**(np.ndarray): Input data in HWC or BGR format
> **返回** np.ndarray, 风格转换后的图像，BGR格式
> **Return** np.ndarray, the image after style transfer in BGR format
### batch_predict函数
### batch_predict function
> ```python
> AnimeGAN.batch_predict函数(input_images)
> AnimeGAN.batch_predict function (input_images)
> ```
>
> 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**
>
> > * **input_images**(list(np.ndarray)): 输入数据，一组图像数据，注意需为HWC，BGR格式
> > * **input_images**(list(np.ndarray)): Input data in HWC or BGR format
> **返回** list(np.ndarray), 风格转换后的一组图像，BGR格式
> **Return** list(np.ndarray), a set of images after style transfer in BGR format
## 其它文档
## Other Documents
- [风格迁移 模型介绍](..)
- [C++部署](../cpp)
- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)
- [Style Transfer Model Description](..)
- [C++ Deployment](../cpp)
- [How to switch the model inference backend engine](../../../../../docs/cn/faq/how_to_change_backend.md)