cv::dnn::KeypointsModel クラス

This class represents high-level API for keypoints 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	KeypointsModel (const String &model, const String &config="")
	Create keypoints model from network represented in one of the supported formats. An order of model and config arguments does not matter. [詳解]
CV_WRAP	KeypointsModel (const Net &network)
	Create model from deep learning network. [詳解]
CV_WRAP std::vector< Point2f >	estimate (InputArray frame, float thresh=0.5)
	Given the input frame, create input blob, run net [詳解]
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 keypoints models

KeypointsModel allows to set params for preprocessing input image. KeypointsModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and returns the x and y coordinates of each detected keypoint

構築子と解体子

KeypointsModel() [1/2]

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

Create keypoints 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.

KeypointsModel() [2/2]

CV_WRAP cv::dnn::KeypointsModel::KeypointsModel

(

const Net &

network

)

Create model from deep learning network.

引数

[in]

network

Net object.

関数詳解

estimate()

CV_WRAP std::vector< Point2f > cv::dnn::KeypointsModel::estimate	(	InputArray	frame,
		float	thresh = 0.5
	)

Given the input frame, create input blob, run net

引数

[in]	frame	The input image.
	thresh	minimum confidence threshold to select a keypoint

戻り値

a vector holding the x and y coordinates of each detected keypoint

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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