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86 lines
3.4 KiB
Markdown
Executable File
86 lines
3.4 KiB
Markdown
Executable File
English | [简体中文](README_CN.md)
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# AnimeGAN C++ Deployment Example
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This directory provides examples that `infer.cc` fast finishes the deployment of AnimeGAN on CPU/GPU.
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Two steps before deployment
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- 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../docs/en/build_and_install/download_prebuilt_libraries.md)
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- 2. Download the precompiled deployment library and samples code according to your development environment. Refer to [FastDeploy Precompiled Library](../../../../../docs/en/build_and_install/download_prebuilt_libraries.md)
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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.
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```bash
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mkdir build
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cd build
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# Download the FastDeploy precompiled library. Users can choose your appropriate version in the `FastDeploy Precompiled Library` mentioned above
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wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
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tar xvf fastdeploy-linux-x64-x.x.x.tgz
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
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make -j
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# Download the prepared model files and test images
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wget https://bj.bcebos.com/paddlehub/fastdeploy/style_transfer_testimg.jpg
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wget https://bj.bcebos.com/paddlehub/fastdeploy/animegan_v1_hayao_60_v1.0.0.tgz
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tar xvfz animegan_v1_hayao_60_v1.0.0.tgz
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# CPU inference
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./infer_demo --model animegan_v1_hayao_60 --image style_transfer_testimg.jpg --device cpu
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# GPU inference
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./infer_demo --model animegan_v1_hayao_60 --image style_transfer_testimg.jpg --device gpu
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```
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The above command works for Linux or MacOS. For SDK in Windows, refer to
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- [How to use FastDeploy C++ SDK in Windows](../../../../../docs/en/faq/use_sdk_on_windows.md)
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## AnimeGAN C++ Interface
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### AnimeGAN Class
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```c++
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fastdeploy::vision::generation::AnimeGAN(
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const string& model_file,
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const string& params_file = "",
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const RuntimeOption& runtime_option = RuntimeOption(),
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const ModelFormat& model_format = ModelFormat::PADDLE)
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```
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AnimeGAN model loading and initialization, among which model_file is the exported Paddle model file and params_file is the parameter file.
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**Parameter**
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> * **model_file**(str): Model file path
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> * **params_file**(str): Parameter file path
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> * **runtime_option**(RuntimeOption): Backend Inference configuration. None by default. (use the default configuration)
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> * **model_format**(ModelFormat): Model format. Paddle format by default
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#### Predict Function
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> ```c++
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> bool AnimeGAN::Predict(cv::Mat& image, cv::Mat* result)
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> ```
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> Model prediction interface. Input an image and output the style transfer result
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>
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> **Parameter**
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> > * **image**: Input data in HWC or BGR format
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> > * **result**: Image after style style transfer in BGR format
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#### BatchPredict Function
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> ```c++
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> bool AnimeGAN::BatchPredict(const std::vector<cv::Mat>& images, std::vector<cv::Mat>* results);
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> ```
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>
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> Model prediction interface. Input a set of images and output style transfer results.
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>
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> **Parameter**
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>
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> > * **images**: Input data in HWC or BGR format
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> > * **results**: A set of images after style transfer in BGR format.
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- [Model Description](../../)
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- [Python Deployment](../python)
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- [How to switch the model inference backend engine](../../../../../docs/en/faq/how_to_change_backend.md)
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