Preprocessor object for PaddleClas serials model. More...

#include <preprocessor.h>

Inheritance diagram for fastdeploy::vision::classification::PaddleClasPreprocessor:

Collaboration diagram for fastdeploy::vision::classification::PaddleClasPreprocessor:

Public Member Functions
	PaddleClasPreprocessor (const std::string &config_file)
	Create a preprocessor instance for PaddleClas serials model. More...

virtual bool	Apply (FDMatBatch image_batch, std::vector< FDTensor > outputs)
	Implement the virtual function of ProcessorManager, Apply() is the body of Run(). Apply() contains the main logic of preprocessing, Run() is called by users to execute preprocessing. More...

void	DisableNormalize ()
	This function will disable normalize in preprocessing step.

void	DisablePermute ()
	This function will disable hwc2chw in preprocessing step.

void	InitialResizeOnCpu (bool v)
	When the initial operator is Resize, and input image size is large, maybe it's better to run resize on CPU, because the HostToDevice memcpy is time consuming. Set this true to run the initial resize on CPU. More...

Public Member Functions inherited from fastdeploy::vision::ProcessorManager
void	UseCuda (bool enable_cv_cuda=false, int gpu_id=-1)
	Use CUDA to boost the performance of processors. More...

bool	Run (std::vector< FDMat > images, std::vector< FDTensor > outputs)
	Process the input images and prepare input tensors for runtime. More...

Detailed Description

Preprocessor object for PaddleClas serials model.

Constructor & Destructor Documentation

◆ PaddleClasPreprocessor()

fastdeploy::vision::classification::PaddleClasPreprocessor::PaddleClasPreprocessor ( const std::string & config_file )

explicit

Create a preprocessor instance for PaddleClas serials model.

Parameters

[in] config_file Path of configuration file for deployment, e.g resnet/infer_cfg.yml

Member Function Documentation

◆ Apply()

bool fastdeploy::vision::classification::PaddleClasPreprocessor::Apply	(	FDMatBatch *	image_batch,
		std::vector< FDTensor > *	outputs
	)

virtual

Implement the virtual function of ProcessorManager, Apply() is the body of Run(). Apply() contains the main logic of preprocessing, Run() is called by users to execute preprocessing.

Parameters

[in]	image_batch	The input image batch
[in]	outputs	The output tensors which will feed in runtime

Returns: true if the preprocess successed, otherwise false

Implements fastdeploy::vision::ProcessorManager.

◆ InitialResizeOnCpu()

void fastdeploy::vision::classification::PaddleClasPreprocessor::InitialResizeOnCpu ( bool v )

inline

When the initial operator is Resize, and input image size is large, maybe it's better to run resize on CPU, because the HostToDevice memcpy is time consuming. Set this true to run the initial resize on CPU.

Parameters

[in] v ture or false

The documentation for this class was generated from the following files:

/fastdeploy/my_work/FastDeploy/fastdeploy/vision/classification/ppcls/preprocessor.h
/fastdeploy/my_work/FastDeploy/fastdeploy/vision/classification/ppcls/preprocessor.cc

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ PaddleClasPreprocessor()

Member Function Documentation

◆ Apply()

◆ InitialResizeOnCpu()