MMind.DL Namespace Reference

Classes
struct	Bbox
	This struct defines the information on the bounding box. More...
struct	CClassificationResult
	This struct defines the classification result.
struct	CContour
	This struct defines the information of the mask contour.
struct	CDefectAndEdgeResult
	This struct defines the defect segmentation and edge detection result.
struct	CFastPositioningResult
	This struct defines the fast positioning result.
class	ClassificationResult
	This class defines the classification result. More...
struct	CMMindImage
	This struct defines Image.
struct	CObjectAndInsResult
	This struct defines the object detection and instance segmentation result.
class	Common
struct	CPoint
	This struct defines the information on point. More...
struct	CTextDetectionResult
	This struct defines the text detection result.
struct	CTextRecognitionResult
	This struct defines the text recognition result.
struct	CUnsupSegResult
	This struct defines the unsupervised segmentation result.
class	DefectAndEdgeResult
	This class defines the defect segmentation and edge detection result. More...
struct	Engine
	This struct defines Engine.
class	FastPositioningResult
	This class defines the fast positioning result. More...
class	InferEngine
	This class defines the inference engine. More...
class	MMindImage
	This class defines Image. More...
class	NativeMethods
	Nativate C methods.
class	ObjectAndInsResult
	This class defines the object detection and instance segmentation result. More...
struct	Position
	This struct defines that the position of the result is relative to the upper-left corner of the original image. More...
class	Result
	This class defines the storage of inference results. More...
struct	ResultRestoreInfo
	This struct defines the information required to recover the result to the original image. More...
class	TextDetectionResult
	This class defines the text detection result. More...
class	TextRecognitionResult
	This class defines the text recognition result. More...
class	UnsupSegResult
	This class defines the unsupervised segmentation result. More...

Enumerations
enum	StatusCode {   SUCCESS = 0 , E_UNKNOWN , E_INIT_FAILED , E_INVALID_MODEL_PATH ,   E_INVALID_MODEL_PACK , E_INVALID_MODEL_VERSION , I_CONVERTING , E_CONVERT_FAILED ,   E_CONVERT_WITHOUT_INIT , E_UNSUPPORTED_BACKEND , I_LOADING , E_LOAD_FAILED ,   E_LOAD_WITHOUT_CONVERT , E_LOAD_WITHOUT_INIT , E_INFER_WITHOUT_LOAD , E_OUT_OF_HOST_MEMORY ,   E_OUT_OF_DEVICE_MEMORY , E_INFER_FAILED , E_INVALID_IMAGE_PATH , E_UNZIP_ERROR ,   E_INVALID_IMAGE_NULLPTR , E_MODEL_REGISTEXCEEDLIMIT , E_MODULE_INDEX_ERROR , E_MODULE_TYPE_ERROR ,   E_SET_GPUID_ERROR , E_INVALID_ENGINE , E_INVALID_BACKEND_TYPE , E_INVALID_ALGO_TYPE ,   E_PARAM_ERROR , E_AUTHOR_TYPE_ERROR }
	This enumeration defines the codes of status. More...
enum	UnsupSegLabel { OK = 0 , NG , Unknown }
	This enumeration defines the label of unsupervised segmentation. More...
enum	BackendType { GpuDefault = 0 , GpuOptimization , CPU }
	This enumeration defines the backend types. More...
enum	DLAlgoType {   Unknown = 0 , Classification , ObjectDetection , InstanceSegmentation ,   DefectSegmentation , FastLocating , EdgeDetection , TextRecognition ,   TextDetection , UnsupSegmentation }
	This enumeration defines the deep learning algorithm types. More...
enum	FloatPrecisionType { FP16 , FP32 }
	This enumeration defines the floating-point formats. More...

Enumeration Type Documentation

BackendType

enum MMind.DL.BackendType

This enumeration defines the backend types.

Enumerator
GpuDefault	GPU Default mode.
GpuOptimization	GPU optimization mode. This mode takes 2 to 10 minutes to optimize the model.
CPU	CPU mode. This mode can be used without a GPU.

DLAlgoType

enum MMind.DL.DLAlgoType

This enumeration defines the deep learning algorithm types.

Enumerator
Unknown	Unknown.
Classification	Classification.
ObjectDetection	ObjectDetection.
InstanceSegmentation	InstanceSegmentation.
DefectSegmentation	DefectSegmentation.
FastLocating	FastLocating.
EdgeDetection	EdgeDetection.
TextRecognition	TextRecognition.
TextDetection	TextDetection.
UnsupSegmentation	UnsupSegmentation.

FloatPrecisionType

enum MMind.DL.FloatPrecisionType

This enumeration defines the floating-point formats.

Enumerator
FP16	Half-precision floating-point format.
FP32	Single-precision floating-point format.

StatusCode

enum MMind.DL.StatusCode

This enumeration defines the codes of status.

Enumerator
SUCCESS	Success status.
E_UNKNOWN	Unknown status.
E_INIT_FAILED	Error: engine initialization failed.
E_INVALID_MODEL_PATH	Error: invalid model package path.
E_INVALID_MODEL_PACK	Error: invalid model package.
E_INVALID_MODEL_VERSION	Error: invalid model package version.
I_CONVERTING	Status: model is being converted.
E_CONVERT_FAILED	Error: model conversion failed.
E_CONVERT_WITHOUT_INIT	Error: model uninitialized before conversion.
E_UNSUPPORTED_BACKEND	Error: unsupported inference backend.
I_LOADING	Status: model is being loaded.
E_LOAD_FAILED	Error: model loading failed.
E_LOAD_WITHOUT_CONVERT	Error: model unconverted before loading.
E_LOAD_WITHOUT_INIT	Error: uninitialized before loading.
E_INFER_WITHOUT_LOAD	Error: model unloaded before inference.
E_OUT_OF_HOST_MEMORY	Error: out of memory.
E_OUT_OF_DEVICE_MEMORY	Error: out of video memory.
E_INFER_FAILED	Error: inference failed.
E_INVALID_IMAGE_PATH	Error: invalid image path.
E_UNZIP_ERROR	Error: unable to unzip the model package.
E_INVALID_IMAGE_NULLPTR	Error: invalid image pointer.
E_MODEL_REGISTEXCEEDLIMIT	Error: model loading failed as the number of models loaded has reached the upper limit.
E_MODULE_INDEX_ERROR	Error: module index out of range.
E_MODULE_TYPE_ERROR	Error: the function of an incorrect model type was called.
E_SET_GPUID_ERROR	Error: incorrect GPU ID settings.
E_INVALID_ENGINE	Error: engine creation failed.
E_INVALID_BACKEND_TYPE	Error: invalid backend type.
E_INVALID_ALGO_TYPE	Error: invalid deep learning algorithm type.
E_PARAM_ERROR	Error: incorrect parameter settings.
E_AUTHOR_TYPE_ERROR	Error: authorization type error.

UnsupSegLabel

enum MMind.DL.UnsupSegLabel

This enumeration defines the label of unsupervised segmentation.

Enumerator
OK	There are no defects in the current image.
NG	There are some defects in the current image.
Unknown	Not sure if there is a defect in the image.