Processor for resize images by short edge. More...

Inheritance diagram for fastdeploy::vision::ResizeByShort:

Collaboration diagram for fastdeploy::vision::ResizeByShort:

Static Public Member Functions
static bool	Run (FDMat *mat, int target_size, int interp=1, bool use_scale=true, const std::vector< int > &max_hw=std::vector< int >(), ProcLib lib=ProcLib::DEFAULT)
	Process the input images. More...

Additional Inherited Members
Public Member Functions inherited from fastdeploy::vision::Processor
virtual bool	operator() (FDMat *mat)
	operator `()` for calling processor in this way: `processor(mat)` More...

virtual bool	operator() (FDMat *mat, ProcLib lib)
	operator `()` for calling processor in this way: `processor(mat, lib)` This function is for backward compatibility, will be removed in the near future, please use operator()(FDMat* mat) instead and set proc_lib in mat. More...

virtual bool	operator() (FDMatBatch *mat_batch)
	operator `()` for calling processor in this way: `processor(mat_batch)` More...

Detailed Description

Processor for resize images by short edge.

Member Function Documentation

bool fastdeploy::vision::ResizeByShort::Run	(	FDMat *	mat,
		int	target_size,
		int	interp = `1`,
		bool	use_scale = `true`,
		const std::vector< int > &	max_hw = `std::vector<int>()`,
		ProcLib	lib = `ProcLib::DEFAULT`
	)

static

Process the input images.

Parameters

[in]	mat	The input image data, `result = mat * alpha + beta`
[in]	target_size	target size of the output image.
[in]	interp	interpolation method, deafult is 1.
[in]	use_scale	to define wheather to scale the image, deafult is true.
[in]	max_hw	max HW fo output image.
[in]	lib	to define OpenCV or FlyCV or CVCUDA will be used.

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

/fastdeploy/my_work/FastDeploy/fastdeploy/vision/common/processors/resize_by_short.h
/fastdeploy/my_work/FastDeploy/fastdeploy/vision/common/processors/resize_by_short.cc