fastdeploy::vision::ocr::ClassifierPreprocessor Class Reference

Preprocessor object for Classifier serials model. More...

#include <cls_preprocessor.h>

Inheritance diagram for fastdeploy::vision::ocr::ClassifierPreprocessor:

Collaboration diagram for fastdeploy::vision::ocr::ClassifierPreprocessor:

Public Member Functions
bool	Run (std::vector< FDMat > *images, std::vector< FDTensor > *outputs, size_t start_index, size_t end_index)
	Process the input image and prepare input tensors for runtime. 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	SetNormalize (const std::vector< float > &mean, const std::vector< float > &std, bool is_scale)
void	SetClsImageShape (const std::vector< int > &cls_image_shape)
	Set cls_image_shape for the classification preprocess.
std::vector< int >	GetClsImageShape () const
	Get cls_image_shape for the classification preprocess.
void	DisableNormalize ()
	This function will disable normalize in preprocessing step.
void	DisablePermute ()
	This function will disable hwc2chw in preprocessing step.
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 Classifier serials model.

Member Function Documentation

Apply()

bool fastdeploy::vision::ocr::ClassifierPreprocessor::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.

Run()

bool fastdeploy::vision::ocr::ClassifierPreprocessor::Run	(	std::vector< FDMat > *	images,
		std::vector< FDTensor > *	outputs,
		size_t	start_index,
		size_t	end_index
	)

Process the input image and prepare input tensors for runtime.

Parameters

[in]	images	The input data list, all the elements are FDMat
[in]	outputs	The output tensors which will be fed into runtime

Returns

true if the preprocess successed, otherwise false

SetNormalize()

void fastdeploy::vision::ocr::ClassifierPreprocessor::SetNormalize ( const std::vector< float > &  mean, const std::vector< float > &  std, bool  is_scale  )

inline

Set preprocess normalize parameters, please call this API to customize the normalize parameters, otherwise it will use the default normalize parameters.

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

• /fastdeploy/my_work/FastDeploy/fastdeploy/vision/ocr/ppocr/cls_preprocessor.h
• /fastdeploy/my_work/FastDeploy/fastdeploy/vision/ocr/ppocr/cls_preprocessor.cc