#include <manager.h>

Inheritance diagram for fastdeploy::vision::ProcessorManager:

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Public Member Functions
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...

virtual bool	Apply (FDMatBatch image_batch, std::vector< FDTensor > outputs)=0
	Apply() is the body of Run() function, it needs to be implemented by a derived class. More...

Detailed Description

Member Function Documentation

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

pure virtual

Apply() is the body of Run() function, it needs to be implemented by a derived class.

Parameters

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

bool fastdeploy::vision::ProcessorManager::Run	(	std::vector< FDMat > *	images,
		std::vector< FDTensor > *	outputs
	)

Process the input images and prepare input tensors for runtime.

Parameters

[in]	images	The input image data list, all the elements are returned by cv::imread()
[in]	outputs	The output tensors which will feed in runtime

void fastdeploy::vision::ProcessorManager::UseCuda	(	bool	enable_cv_cuda = `false`,
		int	gpu_id = `-1`
	)

Use CUDA to boost the performance of processors.

Parameters

[in]	enable_cv_cuda	ture: use CV-CUDA, false: use CUDA only
[in]	gpu_id	GPU device id

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