Inference.cpp File Reference

Enumerations
enum	InferenceNetworkType { DETECTION , CLASSIFICATION }
enum	FileUploadPersistence { FLASH , DDR }

Functions
const std::vector< std::string >	labelClassification (arrayLabelClassification, end(arrayLabelClassification))
const std::vector< std::string >	labelDetection (arrayLabelDetection, end(arrayLabelDetection))
int	PrintDeviceInfo (INodeMap &nodeMap)
bool	CameraDeleteFile (INodeMap &nodeMap)
bool	CameraOpenFile (INodeMap &nodeMap)
bool	CameraWriteToFile (INodeMap &nodeMap)
bool	CameraCloseFile (INodeMap &nodeMap)
std::vector< char >	LoadFileIntoMemory (const string &filename)
int	UploadFileToCamera (INodeMap &nodeMap, const std::string &fileSelectorEntryName, const std::string &filePath)
int	DeleteFileOnCamera (INodeMap &nodeMap, const std::string &fileSelectorEntryName)
int	SetChunkEnable (INodeMap &nodeMap, const gcstring &entryName, const bool enable)
int	ConfigureChunkData (INodeMap &nodeMap)
int	DisableChunkData (INodeMap &nodeMap)
int	DisplayChunkData (const ImagePtr pImage)
int	DisableTrigger (INodeMap &nodeMap)
int	ConfigureTrigger (INodeMap &nodeMap)
int	ConfigureInference (INodeMap &nodeMap, bool isEnabled)
int	ConfigureTestPattern (INodeMap &nodeMap, bool isEnabled)
int	AcquireImages (const CameraPtr &pCam, INodeMap &nodeMap, INodeMap &nodeMapTLDevice)
int	RunSingleCamera (const CameraPtr &pCam)
int	main (int, char **)

Variables
const InferenceNetworkType	chosenInferenceNetworkType = CLASSIFICATION
const FileUploadPersistence	chosenFileUploadPersistence = DDR
const std::string	networkFilePath
const std::string	injectedImageFilePath
const unsigned int	injectedImageWidth = (chosenInferenceNetworkType == CLASSIFICATION ? 640 : 720)
const unsigned int	injectedImageHeight = (chosenInferenceNetworkType == CLASSIFICATION ? 400 : 540)
const char *	arrayLabelClassification [] = {"daisy", "dandelion", "roses", "sunflowers", "tulips"}
const char *	arrayLabelDetection []

Enumeration Type Documentation

FileUploadPersistence

enum FileUploadPersistence

Enumerator
FLASH
DDR

InferenceNetworkType

enum InferenceNetworkType

Enumerator
DETECTION	This network determines the most likely class given a set of predetermined, trained options. Object detection can also provide a location within the image (in the form of a "bounding box" surrounding the class), and can detect multiple objects.
CLASSIFICATION	This network determines the best option from a list of predetermined options; the camera gives a percentage that determines the likelihood of the currently perceived image being one of the classes it has been trained to recognize.

Function Documentation

AcquireImages()

int AcquireImages	(	const CameraPtr &	pCam,
		INodeMap &	nodeMap,
		INodeMap &	nodeMapTLDevice
	)

CameraCloseFile()

bool CameraCloseFile

(

INodeMap &

nodeMap

)

Examples

Inference.cpp.

CameraDeleteFile()

bool CameraDeleteFile

(

INodeMap &

nodeMap

)

Examples

Inference.cpp.

CameraOpenFile()

bool CameraOpenFile

(

INodeMap &

nodeMap

)

Examples

Inference.cpp.

CameraWriteToFile()

bool CameraWriteToFile

(

INodeMap &

nodeMap

)

Examples

Inference.cpp.

ConfigureChunkData()

int ConfigureChunkData

(

INodeMap &

nodeMap

)

ConfigureInference()

int ConfigureInference	(	INodeMap &	nodeMap,
		bool	isEnabled
	)

Examples

Inference.cpp.

ConfigureTestPattern()

int ConfigureTestPattern	(	INodeMap &	nodeMap,
		bool	isEnabled
	)

Examples

Inference.cpp.

ConfigureTrigger()

int ConfigureTrigger

(

INodeMap &

nodeMap

)

DeleteFileOnCamera()

int DeleteFileOnCamera	(	INodeMap &	nodeMap,
		const std::string &	fileSelectorEntryName
	)

Examples

Inference.cpp.

DisableChunkData()

int DisableChunkData

(

INodeMap &

nodeMap

)

DisableTrigger()

int DisableTrigger

(

INodeMap &

nodeMap

)

Examples

Inference.cpp.

DisplayChunkData()

int DisplayChunkData

(

const ImagePtr

pImage

)

labelClassification()

const std::vector< std::string > labelClassification	(	arrayLabelClassification	,
		end(arrayLabelClassification)
	)

Examples

Inference.cpp.

labelDetection()

const std::vector< std::string > labelDetection	(	arrayLabelDetection	,
		end(arrayLabelDetection)
	)

Examples

Inference.cpp.

LoadFileIntoMemory()

std::vector< char > LoadFileIntoMemory

(

const string &

filename

)

Examples

Inference.cpp.

main()

int main	(	int	,
		char **
	)

PrintDeviceInfo()

int PrintDeviceInfo

(

INodeMap &

nodeMap

)

RunSingleCamera()

int RunSingleCamera

(

const CameraPtr &

pCam

)

SetChunkEnable()

int SetChunkEnable	(	INodeMap &	nodeMap,
		const gcstring &	entryName,
		const bool	enable
	)

Examples

Inference.cpp.

UploadFileToCamera()

int UploadFileToCamera	(	INodeMap &	nodeMap,
		const std::string &	fileSelectorEntryName,
		const std::string &	filePath
	)

Examples

Inference.cpp.

Variable Documentation

arrayLabelClassification

const char* arrayLabelClassification[] = {"daisy", "dandelion", "roses", "sunflowers", "tulips"}

Examples

Inference.cpp.

arrayLabelDetection

const char* arrayLabelDetection[]

Initial value:

= {"background", "aeroplane", "bicycle",   "bird",   "boat",        "bottle",
                                     "bus",        "car",       "cat",       "chair",  "cow",         "diningtable",
                                     "dog",        "horse",     "motorbike", "person", "pottedplant", "sheep",
                                     "sofa",       "train",     "monitor"}

Examples

Inference.cpp.

chosenFileUploadPersistence

const FileUploadPersistence chosenFileUploadPersistence = DDR

Examples

Inference.cpp.

chosenInferenceNetworkType

const InferenceNetworkType chosenInferenceNetworkType = CLASSIFICATION

Examples

Inference.cpp.

injectedImageFilePath

const std::string injectedImageFilePath

Initial value:

=
    (chosenInferenceNetworkType == CLASSIFICATION ? "Injected_Image_Classification.raw"
                                                  : "Injected_Image_Detection.raw")

Examples

Inference.cpp.

injectedImageHeight

const unsigned int injectedImageHeight = (chosenInferenceNetworkType == CLASSIFICATION ? 400 : 540)

Examples

Inference.cpp.

injectedImageWidth

const unsigned int injectedImageWidth = (chosenInferenceNetworkType == CLASSIFICATION ? 640 : 720)

Examples

Inference.cpp.

networkFilePath

const std::string networkFilePath

Initial value:

=
    (chosenInferenceNetworkType == CLASSIFICATION ? "Network_Classification" : "Network_Detection")

Examples

Inference.cpp.