cv::dnn::ClassificationModel クラス

This class represents high-level API for classification models. [詳解]

#include <dnn.hpp>

cv::dnn::Modelを継承しています。

公開メンバ関数
CV_WRAP	ClassificationModel (const String &model, const String &config="")
	Create classification model from network represented in one of the supported formats. An order of model and config arguments does not matter. [詳解]
CV_WRAP	ClassificationModel (const Net &network)
	Create model from deep learning network. [詳解]
std::pair< int, float >	classify (InputArray frame)
	Given the input frame, create input blob, run net and return top-1 prediction. [詳解]
CV_WRAP void	classify (InputArray frame, CV_OUT int &classId, CV_OUT float &conf)
基底クラス cv::dnn::Model に属する継承公開メンバ関数
	Model (const Model &)=default
	Model (Model &&)=default
Model &	operator= (const Model &)=default
Model &	operator= (Model &&)=default
CV_WRAP	Model (const String &model, const String &config="")
	Create model from deep learning network represented in one of the supported formats. An order of model and config arguments does not matter. [詳解]
CV_WRAP	Model (const Net &network)
	Create model from deep learning network. [詳解]
CV_WRAP Model &	setInputSize (const Size &size)
	Set input size for frame. [詳解]
CV_WRAP Model &	setInputSize (int width, int height)
CV_WRAP Model &	setInputMean (const Scalar &mean)
	Set mean value for frame. [詳解]
CV_WRAP Model &	setInputScale (double scale)
	Set scalefactor value for frame. [詳解]
CV_WRAP Model &	setInputCrop (bool crop)
	Set flag crop for frame. [詳解]
CV_WRAP Model &	setInputSwapRB (bool swapRB)
	Set flag swapRB for frame. [詳解]
CV_WRAP void	setInputParams (double scale=1.0, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=false, bool crop=false)
	Set preprocessing parameters for frame. [詳解]
CV_WRAP void	predict (InputArray frame, OutputArrayOfArrays outs) const
	Given the input frame, create input blob, run net and return the output blobs. [詳解]
CV_WRAP Model &	setPreferableBackend (dnn::Backend backendId)
CV_WRAP Model &	setPreferableTarget (dnn::Target targetId)
CV_DEPRECATED_EXTERNAL	operator Net & () const
Net &	getNetwork_ () const
Net &	getNetwork_ ()
Impl *	getImpl () const
Impl &	getImplRef () const

その他の継承メンバ
基底クラス cv::dnn::Model に属する継承限定公開変数類
Ptr< Impl >	impl

詳解

This class represents high-level API for classification models.

ClassificationModel allows to set params for preprocessing input image. ClassificationModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and return top-1 prediction.

構築子と解体子

ClassificationModel() [1/2]

CV_WRAP cv::dnn::ClassificationModel::ClassificationModel	(	const String &	model,
		const String &	config = ""
	)

Create classification model from network represented in one of the supported formats. An order of model and config arguments does not matter.

引数

[in]	model	Binary file contains trained weights.
[in]	config	Text file contains network configuration.

ClassificationModel() [2/2]

CV_WRAP cv::dnn::ClassificationModel::ClassificationModel

(

const Net &

network

)

Create model from deep learning network.

引数

[in]

network

Net object.

関数詳解

classify() [1/2]

std::pair< int, float > cv::dnn::ClassificationModel::classify

(

InputArray

frame

)

Given the input frame, create input blob, run net and return top-1 prediction.

引数

[in]

frame

The input image.

classify() [2/2]

CV_WRAP void cv::dnn::ClassificationModel::classify	(	InputArray	frame,
		CV_OUT int &	classId,
		CV_OUT float &	conf
	)

これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

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このクラス詳解は次のファイルから抽出されました:

• dnn/dnn.hpp