fastdeploy::vision::classification::YOLOv5ClsPreprocessor Class Reference

Preprocessor object for YOLOv5Cls serials model. More...

#include <preprocessor.h>

Public Member Functions
	YOLOv5ClsPreprocessor ()
	Create a preprocessor instance for YOLOv5Cls serials model.
bool	Run (std::vector< FDMat > *images, std::vector< FDTensor > *outputs, std::vector< std::map< std::string, std::array< float, 2 >>> *ims_info)
	Process the input image and prepare input tensors for runtime. More...
void	SetSize (const std::vector< int > &size)
	Set target size, tuple of (width, height), default size = {224, 224}.
std::vector< int >	GetSize () const
	Get target size, tuple of (width, height), default size = {224, 224}.

Detailed Description

Preprocessor object for YOLOv5Cls serials model.

Member Function Documentation

Run()

bool fastdeploy::vision::classification::YOLOv5ClsPreprocessor::Run	(	std::vector< FDMat > *	images,
		std::vector< FDTensor > *	outputs,
		std::vector< std::map< std::string, std::array< float, 2 >>> *	ims_info
	)

Process the input image 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
[in]	ims_info	The shape info list, record input_shape and output_shape

Returns

true if the preprocess successed, otherwise false

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

• /fastdeploy/my_work/FastDeploy/fastdeploy/vision/classification/contrib/yolov5cls/preprocessor.h
• /fastdeploy/my_work/FastDeploy/fastdeploy/vision/classification/contrib/yolov5cls/preprocessor.cc