Detect and recognize multiple objects in scenes using OpenCV Deep Neural Nets (DNN) More...

Inheritance diagram for DetectionDNN:

[legend]

Collaboration diagram for DetectionDNN:

[legend]

Public Member Functions
	DetectionDNN (std::string const &instance)
	Constructor. More...

virtual	~DetectionDNN ()
	Virtual destructor for safe inheritance. More...

void	onParamChange (model const &, Model const &val) override
	Parameter callback: set the selected model. More...

void	load ()
	Load and initialize a model. More...

void	postprocess (cv::Mat const &frame, std::vector< cv::Mat > const &outs, jevois::RawImage *outframe=nullptr)
	Post-processing to extract boxes from network outputs. More...

virtual void	process (jevois::InputFrame &&inframe) override
	Processing function, no video output. More...

virtual void	process (jevois::InputFrame &&inframe, jevois::OutputFrame &&outframe) override
	Processing function with video output to USB. More...

Public Member Functions inherited from jevois::StdModule
	StdModule (std::string const &instance)

virtual	~StdModule ()

void	sendSerialImg1Dx (unsigned int camw, float x, float size=0.0F, std::string const &id="", std::string const &extra="")

void	sendSerialStd1Dx (float x, float size=0.0F, std::string const &id="", std::string const &extra="")

void	sendSerialImg1Dy (unsigned int camh, float y, float size=0.0F, std::string const &id="", std::string const &extra="")

void	sendSerialStd1Dy (float y, float size=0.0F, std::string const &id="", std::string const &extra="")

void	sendSerialImg2D (unsigned int camw, unsigned int camh, float x, float y, float w=0.0F, float h=0.0F, std::string const &id="", std::string const &extra="")

void	sendSerialStd2D (float x, float y, float w=0.0F, float h=0.0F, std::string const &id="", std::string const &extra="")

void	sendSerialContour2D (unsigned int camw, unsigned int camh, std::vector< cv::Point_< T > > points, std::string const &id="", std::string const &extra="")

void	sendSerialStd3D (float x, float y, float z, float w=0.0F, float h=0.0F, float d=0.0F, float q1=0.0F, float q2=0.0F, float q3=0.0f, float q4=0.0F, std::string const &id="", std::string const &extra="")

void	sendSerialStd3D (std::vector< cv::Point3f > points, std::string const &id="", std::string const &extra="")

void	sendSerialObjReco (std::vector< ObjReco > const &res)

void	sendSerialObjDetImg2D (unsigned int camw, unsigned int camh, float x, float y, float w, float h, std::vector< ObjReco > const &res)

void	sendSerialObjDetImg2D (unsigned int camw, unsigned int camh, ObjDetect const &det)

	JEVOIS_DEFINE_ENUM_CLASS (SerStyle,(Terse)(Normal)(Detail)(Fine)) JEVOIS_DECLARE_PARAMETER(serstyle

	JEVOIS_DECLARE_PARAMETER (serprec, unsigned int, "Number of decimal points in standardized serial messages as " "defined in http://jevois.org/doc/UserSerialStyle.html", 0U, jevois::Range< unsigned int >(0U, 10U), ParamCateg)

	JEVOIS_DEFINE_ENUM_CLASS (SerStamp,(None)(Frame)(Time)(FrameTime)(FrameDateTime)) JEVOIS_DECLARE_PARAMETER(serstamp

	JEVOIS_DEFINE_ENUM_CLASS (SerMark,(None)(Start)(Stop)(Both)) JEVOIS_DECLARE_PARAMETER(sermark

Public Member Functions inherited from jevois::Module
	Module (std::string const &instance)

virtual	~Module ()

virtual void	process (InputFrame &&inframe, GUIhelper &helper)

virtual void	sendSerial (std::string const &str)

virtual void	parseSerial (std::string const &str, std::shared_ptr< UserInterface > s)

virtual void	supportedCommands (std::ostream &os)

Public Member Functions inherited from jevois::Component
	Component (std::string const &instance)

virtual	~Component ()

std::shared_ptr< Comp >	addSubComponent (std::string const &instance, Args &&...args)

void	removeSubComponent (std::shared_ptr< Comp > &component)

void	removeSubComponent (std::string const &instance, bool warnIfNotFound=true)

std::shared_ptr< Comp >	getSubComponent (std::string const &instance) const

bool	isTopLevel () const

Engine *	engine () const

bool	initialized () const

const std::string &	className () const

const std::string &	instanceName () const

std::vector< std::string >	setParamVal (std::string const &paramdescriptor, T const &val)

void	setParamValUnique (std::string const &paramdescriptor, T const &val)

std::vector< std::pair< std::string, T > >	getParamVal (std::string const &paramdescriptor) const

T	getParamValUnique (std::string const &paramdescriptor) const

std::vector< std::string >	setParamString (std::string const &paramdescriptor, std::string const &val)

void	setParamStringUnique (std::string const &paramdescriptor, std::string const &val)

std::vector< std::pair< std::string, std::string > >	getParamString (std::string const &paramdescriptor) const

std::string	getParamStringUnique (std::string const &paramdescriptor) const

void	freezeParam (std::string const &paramdescriptor)

void	unFreezeParam (std::string const &paramdescriptor)

void	freezeAllParams ()

void	unFreezeAllParams ()

std::string	descriptor () const

void	setParamsFromFile (std::string const &filename)

std::istream &	setParamsFromStream (std::istream &is, std::string const &absfile)

virtual void	paramInfo (std::shared_ptr< UserInterface > s, std::map< std::string, std::string > &categs, bool skipFrozen, std::string const &cname="", std::string const &pfx="")

void	foreachParam (std::function< void(std::string const &compname, ParameterBase *p)> func, std::string const &cname="")

std::shared_ptr< DynamicParameter< T > >	addDynamicParameter (std::string const &name, std::string const &description, T const &defaultValue, ParameterCategory const &category)

std::shared_ptr< DynamicParameter< T > >	addDynamicParameter (std::string const &name, std::string const &description, T const &defaultValue, ValidValuesSpec< T > const &validValuesSpec, ParameterCategory const &category)

void	setDynamicParameterCallback (std::string const &name, std::function< void(T const &)> cb, bool callnow=true)

void	removeDynamicParameter (std::string const &name)

void	setPath (std::string const &path)

std::filesystem::path	absolutePath (std::filesystem::path const &path="")

std::shared_ptr< Comp >	addSubComponent (std::string const &instance, Args &&...args)

void	removeSubComponent (std::shared_ptr< Comp > &component)

void	removeSubComponent (std::string const &instance, bool warnIfNotFound=true)

std::shared_ptr< Comp >	getSubComponent (std::string const &instance) const

bool	isTopLevel () const

Engine *	engine () const

bool	initialized () const

const std::string &	className () const

const std::string &	instanceName () const

std::vector< std::string >	setParamVal (std::string const &paramdescriptor, T const &val)

void	setParamValUnique (std::string const &paramdescriptor, T const &val)

std::vector< std::pair< std::string, T > >	getParamVal (std::string const &paramdescriptor) const

T	getParamValUnique (std::string const &paramdescriptor) const

std::vector< std::string >	setParamString (std::string const &paramdescriptor, std::string const &val)

void	setParamStringUnique (std::string const &paramdescriptor, std::string const &val)

std::vector< std::pair< std::string, std::string > >	getParamString (std::string const &paramdescriptor) const

std::string	getParamStringUnique (std::string const &paramdescriptor) const

void	freezeParam (std::string const &paramdescriptor)

void	unFreezeParam (std::string const &paramdescriptor)

void	freezeAllParams ()

void	unFreezeAllParams ()

std::string	descriptor () const

void	setParamsFromFile (std::string const &filename)

std::istream &	setParamsFromStream (std::istream &is, std::string const &absfile)

virtual void	paramInfo (std::shared_ptr< UserInterface > s, std::map< std::string, std::string > &categs, bool skipFrozen, std::string const &cname="", std::string const &pfx="")

void	foreachParam (std::function< void(std::string const &compname, ParameterBase *p)> func, std::string const &cname="")

std::shared_ptr< DynamicParameter< T > >	addDynamicParameter (std::string const &name, std::string const &description, T const &defaultValue, ParameterCategory const &category)

std::shared_ptr< DynamicParameter< T > >	addDynamicParameter (std::string const &name, std::string const &description, T const &defaultValue, ValidValuesSpec< T > const &validValuesSpec, ParameterCategory const &category)

void	setDynamicParameterCallback (std::string const &name, std::function< void(T const &)> cb, bool callnow=true)

void	removeDynamicParameter (std::string const &name)

void	setPath (std::string const &path)

std::filesystem::path	absolutePath (std::filesystem::path const &path="")

Public Member Functions inherited from jevois::ParameterRegistry
virtual	~ParameterRegistry ()

Protected Attributes
std::vector< std::string >	itsClasses

cv::dnn::Net	itsNet

std::vector< cv::String >	itsOutNames

std::vector< int >	itsOutLayers

std::string	itsOutLayerType

Related Functions
(Note that these are not member functions.)
	JEVOIS_DEFINE_ENUM_CLASS (Model,(Custom)(Face)(MobileNetSSDvoc)(MobileNetSSDcoco)(MobileNet2SSDcoco)(TinyYOLOv3)(TinyYOLOv2))
	Enum. More...

	JEVOIS_DECLARE_PARAMETER_WITH_CALLBACK (model, Model, "Shortcut parameter to load a model. This sets parameters " "classnames, configname, modelname, etc for the selected network. When " "the selected model is Custom, those other parameters will be set instead " "from the module's params.cfg config file.", Model::Custom, Model_Values, ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (classnames, std::string, "Path to a text file with names of classes to label detected objects", JEVOIS_SHARE_PATH "/opencv-dnn/detection/opencv_face_detector.classes", ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (configname, std::string, "Path to a text file that contains network configuration. " "Can have extension .prototxt (Caffe), .pbtxt (TensorFlow), or .cfg (Darknet).", JEVOIS_SHARE_PATH "/opencv-dnn/detection/opencv_face_detector.prototxt", ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (modelname, std::string, "Path to a binary file of model contains trained weights. " "Can have extension .caffemodel (Caffe), .pb (TensorFlow), .t7 or .net (Torch), " "or .weights (Darknet).", JEVOIS_SHARE_PATH "/opencv-dnn/detection/opencv_face_detector.caffemodel", ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (netin, cv::Size, "Width and height (in pixels) of the neural network input layer, or [0 0] " "to make it match camera frame size. NOTE: for YOLO v3 sizes must be multiples of 32.", cv::Size(160, 120), ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (thresh, float, "Detection threshold in percent confidence", 50.0F, jevois::Range< float >(0.0F, 100.0F), ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (nms, float, "Non-maximum suppression intersection-over-union threshold in percent", 45.0F, jevois::Range< float >(0.0F, 100.0F), ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (rgb, bool, "When true, model works with RGB input images instead BGR ones", true, ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (scale, float, "Value scaling factor applied to input pixels", 2.0F/255.0F, ParamCateg)
	Parameter. More...

	JEVOIS_DECLARE_PARAMETER (mean, cv::Scalar, "Mean BGR value subtracted from input image", cv::Scalar(127.5F, 127.5F, 127.5F), ParamCateg)
	Parameter. More...

Additional Inherited Members
Protected Member Functions inherited from jevois::StdModule
void	sendSerialMarkStart ()

void	sendSerialMarkStop ()

std::string	getStamp () const

Protected Member Functions inherited from jevois::Component
virtual void	preInit ()

virtual void	postInit ()

virtual void	preUninit ()

virtual void	postUninit ()

virtual void	preInit ()

virtual void	postInit ()

virtual void	preUninit ()

virtual void	postUninit ()

Protected Member Functions inherited from jevois::ParameterRegistry
void	addParameter (ParameterBase *const param)

void	removeParameter (ParameterBase *const param)

void	callbackInitCall ()

Detailed Description

Detect and recognize multiple objects in scenes using OpenCV Deep Neural Nets (DNN)

This module runs an object detection deep neural network using the OpenCV DNN library. Detection networks analyze a whole scene and produce a number of bounding boxes around detected objects, together with identity labels and confidence scores for each detected box.

This module runs the selected deep neural network and shows all detections obtained.

Note that by default this module runs the OpenCV Face Detector DNN which can detect human faces.

Included with the standard JeVois distribution are the following networks:

OpenCV Face Detector, Caffe model
MobileNet + SSD trained on Pascal VOC (20 object classes), Caffe model
MobileNet + SSD trained on Coco (80 object classes), TensorFlow model
MobileNet v2 + SSD trained on Coco (80 object classes), TensorFlow model
Darknet Tiny YOLO v3 trained on Coco (80 object classes), Darknet model
Darknet Tiny YOLO v2 trained on Pascal VOC (20 object classes), Darknet model

See the module's params.cfg file to switch network. Object categories are as follows:

The 80 COCO object categories are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic, fire, stop, parking, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports, kite, baseball, baseball, skateboard, surfboard, tennis, bottle, wine, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot, pizza, donut, cake, chair, sofa, pottedplant, bed, diningtable, toilet, tvmonitor, laptop, mouse, remote, keyboard, cell, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy, hair, toothbrush.
The 20 Pascal-VOC object categories are: aeroplane, bicycle, bird, boat, bottle, bus, car, cat, chair, cow, diningtable, dog, horse, motorbike, person, pottedplant, sheep, sofa, train, tvmonitor.

Sometimes it will make mistakes! The performance of yolov3-tiny is about 33.1% correct (mean average precision) on the COCO test set. The OpenCV Face Detector is quite fast and robust!

Speed and network size

The parameter netin allows you to rescale the neural network to the specified size. Beware that this will only work if the network used is fully convolutional (as is the case with the default networks listed above). This not only allows you to adjust processing speed (and, conversely, accuracy), but also to better match the network to the input images (e.g., the default size for tiny-yolo is 416x416, and, thus, passing it a input image of size 640x480 will result in first scaling that input to 416x312, then letterboxing it by adding gray borders on top and bottom so that the final input to the network is 416x416). This letterboxing can be completely avoided by just resizing the network to 320x240.

Here are expected processing speeds for the OpenCV Face Detector:

when netin = [320 240], processes 320x240 inputs, about 650ms/image (1.5 frames/s)
when netin = [160 120], processes 160x120 inputs, about 190ms/image (5.0 frames/s)

Serial messages

When detections are found which are above threshold, one message will be sent for each detected object (i.e., for each box that gets drawn when USB outputs are used), using a standardized 2D message:

Serial message type: 2D
id: the category of the recognized object, followed by ':' and the confidence score in percent
x, y, or vertices: standardized 2D coordinates of object center or corners
w, h: standardized object size
extra: any number of additional category:score pairs which had an above-threshold score for that box

See Standardized serial messages formatting for more on standardized serial messages, and Helper functions to convert coordinates from camera resolution to standardized for more info on standardized coordinates.

This code is heavily inspired from: https://github.com/opencv/opencv/blob/master/samples/dnn/object_detection.cpp

Author: Laurent Itti

Display Name:: Detection DNN

Videomapping:: NONE 0 0 0.0 YUYV 640 480 15.0 JeVois DetectionDNN

Videomapping:: YUYV 640 498 15.0 YUYV 640 480 15.0 JeVois DetectionDNN

Email:: itti@usc.edu

Address:: University of Southern California, HNB-07A, 3641 Watt Way, Los Angeles, CA 90089-2520, USA

Copyright: Copyright (C) 2018 by Laurent Itti, iLab and the University of Southern California

Main URL:: http://jevois.org

Support URL:: http://jevois.org/doc

Other URL:: http://iLab.usc.edu

License:: GPL v3

Distribution:: Unrestricted

Restrictions:: None

Definition at line 171 of file DetectionDNN.C.

Constructor & Destructor Documentation

◆ DetectionDNN()

DetectionDNN::DetectionDNN ( std::string const & instance )

inline

Constructor.

Definition at line 183 of file DetectionDNN.C.

◆ ~DetectionDNN()

virtual DetectionDNN::~DetectionDNN ( )

inlinevirtual

Virtual destructor for safe inheritance.

Definition at line 189 of file DetectionDNN.C.

Member Function Documentation

◆ load()

void DetectionDNN::load ( )

inline

Load and initialize a model.

Definition at line 272 of file DetectionDNN.C.

References itsClasses, itsNet, itsOutLayers, itsOutLayerType, itsOutNames, LFATAL, and dknet::Net.

Referenced by onParamChange().

◆ onParamChange()

void DetectionDNN::onParamChange	(	model const &	,
		Model const &	val
	)

inlineoverride

Parameter callback: set the selected model.

Definition at line 195 of file DetectionDNN.C.

References freeze(), load(), reset(), and unFreeze().

◆ postprocess()

void DetectionDNN::postprocess	(	cv::Mat const &	frame,
		std::vector< cv::Mat > const &	outs,
		jevois::RawImage *	outframe = `nullptr`
	)

inline

Post-processing to extract boxes from network outputs.

Definition at line 308 of file DetectionDNN.C.

References test-model::conf, jevois::rawimage::drawRect(), jevois::rawimage::Font10x20, demo::frame, demo::int, itsClasses, itsNet, itsOutLayerType, LFATAL, name, jevois::StdModule::sendSerialObjDetImg2D(), jevois::sformat(), and jevois::rawimage::writeText().

Referenced by PyDetectionDNN.PyDetectionDNN::process(), and process().

◆ process() [1/2]

virtual void DetectionDNN::process ( jevois::InputFrame && inframe )

inlineoverridevirtual

Processing function, no video output.

Reimplemented from jevois::Module.

Definition at line 424 of file DetectionDNN.C.

References test-model::blob, jevois::rawimage::convertToCvBGR(), itsNet, itsOutNames, and postprocess().

◆ process() [2/2]

virtual void DetectionDNN::process	(	jevois::InputFrame &&	inframe,
		jevois::OutputFrame &&	outframe
	)

inlineoverridevirtual

Processing function with video output to USB.

Reimplemented from jevois::Module.

Definition at line 450 of file DetectionDNN.C.

References jevois::async(), test-model::blob, jevois::rawimage::convertToCvBGR(), jevois::rawimage::drawFilledRect(), jevois::RawImage::fmt, h, jevois::RawImage::height, itsNet, itsOutNames, jevois::rawimage::paste(), postprocess(), jevois::RawImage::require(), jevois::sformat(), jevois::Timer::start(), jevois::Timer::stop(), strget(), demo::w, jevois::RawImage::width, and jevois::rawimage::writeText().

Friends And Related Function Documentation

◆ JEVOIS_DECLARE_PARAMETER() [1/9]

JEVOIS_DECLARE_PARAMETER	(	classnames	,
		std::string	,
		"Path to a text file with names of classes to label detected objects"	,
		JEVOIS_SHARE_PATH "/opencv-dnn/detection/opencv_face_detector.classes"	,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [2/9]

JEVOIS_DECLARE_PARAMETER	(	configname	,
		std::string	,
		"Path to a text file that contains network configuration. " "Can have extension .prototxt	Caffe,
		.	pbtxtTensorFlow,
		or .cfg(Darknet)."	,
		JEVOIS_SHARE_PATH "/opencv-dnn/detection/opencv_face_detector.prototxt"	,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [3/9]

JEVOIS_DECLARE_PARAMETER	(	mean	,
		cv::Scalar	,
		"Mean BGR value subtracted from input image"	,
		cv::Scalar(127.5F, 127.5F, 127.5F)	,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [4/9]

JEVOIS_DECLARE_PARAMETER	(	modelname	,
		std::string	,
		"Path to a binary file of model contains trained weights. " "Can have extension .caffemodel	Caffe,
		.	pbTensorFlow,
		.t7 or .	netTorch,
		" "or .weights(Darknet)."	,
		JEVOIS_SHARE_PATH "/opencv-dnn/detection/opencv_face_detector.caffemodel"	,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [5/9]

JEVOIS_DECLARE_PARAMETER	(	netin	,
		cv::Size	,
		"Width and height (in pixels) of the neural network input	layer,
		or " "to make it match camera frame size. NOTE:for YOLO v3 sizes must be multiples of 32."	[0 0],
		cv::Size(160, 120)	,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [6/9]

JEVOIS_DECLARE_PARAMETER	(	nms	,
		float	,
		"Non-maximum suppression intersection-over-union threshold in percent"	,
		45.	0F,
		jevois::Range< float >	0.0F, 100.0F,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [7/9]

JEVOIS_DECLARE_PARAMETER	(	rgb	,
		bool	,
		"When	true,
		model works with RGB input images instead BGR ones"	,
		true	,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [8/9]

JEVOIS_DECLARE_PARAMETER	(	scale	,
		float	,
		"Value scaling factor applied to input pixels"	,
		2.0F/255.	0F,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER() [9/9]

JEVOIS_DECLARE_PARAMETER	(	thresh	,
		float	,
		"Detection threshold in percent confidence"	,
		50.	0F,
		jevois::Range< float >	0.0F, 100.0F,
		ParamCateg
	)

◆ JEVOIS_DECLARE_PARAMETER_WITH_CALLBACK()

JEVOIS_DECLARE_PARAMETER_WITH_CALLBACK	(	model	,
		Model	,
		"Shortcut parameter to load a model. This sets parameters " "	classnames,
		configname	,
		modelname	,
		etc for the selected network. When " "the selected model is	Custom,
		those other parameters will be set instead " "from the module 's params.cfg config file."	,
		Model::Custom	,
		Model_Values	,
		ParamCateg
	)

◆ JEVOIS_DEFINE_ENUM_CLASS()

JEVOIS_DEFINE_ENUM_CLASS	(	Model	,
		(Custom)(Face)(MobileNetSSDvoc)(MobileNetSSDcoco)(MobileNet2SSDcoco)(TinyYOLOv3)(TinyYOLOv2)
	)

Member Data Documentation

◆ itsClasses

std::vector<std::string> DetectionDNN::itsClasses

protected

Definition at line 512 of file DetectionDNN.C.

Referenced by load(), and postprocess().

◆ itsNet

cv::dnn::Net DetectionDNN::itsNet

protected

Definition at line 513 of file DetectionDNN.C.

Referenced by load(), postprocess(), and process().

◆ itsOutLayers

std::vector<int> DetectionDNN::itsOutLayers

protected

Definition at line 515 of file DetectionDNN.C.

Referenced by load().

◆ itsOutLayerType

std::string DetectionDNN::itsOutLayerType

protected

Definition at line 516 of file DetectionDNN.C.

Referenced by load(), and postprocess().

◆ itsOutNames

std::vector<cv::String> DetectionDNN::itsOutNames

protected

Definition at line 514 of file DetectionDNN.C.

Referenced by load(), and process().

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

src/Modules/DetectionDNN/DetectionDNN.C

Public Member Functions

Protected Attributes

Related Functions

Additional Inherited Members

Detailed Description

Speed and network size

Serial messages

Constructor & Destructor Documentation

◆ DetectionDNN()

◆ ~DetectionDNN()

Member Function Documentation

◆ load()

◆ onParamChange()

◆ postprocess()

◆ process() [1/2]

◆ process() [2/2]

Friends And Related Function Documentation

◆ JEVOIS_DECLARE_PARAMETER() [1/9]

◆ JEVOIS_DECLARE_PARAMETER() [2/9]

◆ JEVOIS_DECLARE_PARAMETER() [3/9]

◆ JEVOIS_DECLARE_PARAMETER() [4/9]

◆ JEVOIS_DECLARE_PARAMETER() [5/9]

◆ JEVOIS_DECLARE_PARAMETER() [6/9]

◆ JEVOIS_DECLARE_PARAMETER() [7/9]

◆ JEVOIS_DECLARE_PARAMETER() [8/9]

◆ JEVOIS_DECLARE_PARAMETER() [9/9]

◆ JEVOIS_DECLARE_PARAMETER_WITH_CALLBACK()

◆ JEVOIS_DEFINE_ENUM_CLASS()

Member Data Documentation

◆ itsClasses

◆ itsNet

◆ itsOutLayers

◆ itsOutLayerType

◆ itsOutNames