mmind::dl Namespace Reference

Classes
struct	MBbox
struct	MBlobValue
struct	MContour
	Represents a contour with hierarchical structure and associated blob features. More...
struct	MMindImage
	Represents an image structure for inference and visualization. More...
class	MMindInferEngine
	Defines the inference engine for Mech-DLK model packages. More...
struct	MMindResult
	Represents the generic result data structure for algorithm modules. More...
struct	ModelEfficiencyParam
struct	MPoint
struct	MPointF
struct	MRotatedBbox
	Rotated bounding box for object detection. More...

Enumerations
enum class	BackendType : int32_t {   Unknown = 0 , OnnxRT , TensorRT , OpenVINO ,   OnnxRTC }
enum class	DLAlgoType : int32_t {   Unknown = 0 , Classification , ObjectDetection , InstanceSegmentation ,   InstanceSegmentationV2 , DefectSegmentation , FastLocating , TextRecognition ,   TextDetection , UnsupSegmentation , LargeSegModel , FGBGSegmentation ,   PickAnything , RegisterClassification , SingleCharacterDetection , RegisterUnsupSeg ,   RegisterCharacterDetection }
enum class	QuickAIMode : int32_t { Registration = 0 , Inference }
enum class	PrecisionType : int32_t { FP16 , FP32 }
enum class	InferDeviceType { Unknown = 0 , CPU = 1 , GPUDefault = 1 << 1 , GPUOptimization = 1 << 2 }
enum class	ModelStatus : unsigned {   Idle , Converting , ConvertFailed , Converted ,   Loading , LoadFailed , Loaded }
enum class	InferImageType { Depth = 0x0 , Intensity = 0x1 }

Functions
constexpr MPointF	operator+ (const MPointF &p1, const MPointF &p2)
MPoint	operator+ (const MPoint &p1, const MPoint &p2)
MBlobValue	blobValueFromContour (const MContour &contour)
	Computes region feature values (area, width, height, aspect ratio, etc.) for a contour.

Enumeration Type Documentation

BackendType

enum class mmind::dl::BackendType : int32_t

strong

Enumerator
Unknown
OnnxRT
TensorRT
OpenVINO
OnnxRTC

Definition at line 23 of file type.h.

                       : int32_t {
    Unknown = 0,
    OnnxRT,
    TensorRT,
    OpenVINO,
    OnnxRTC,
};

DLAlgoType

enum class mmind::dl::DLAlgoType : int32_t

strong

Enumerator
Unknown
Classification
ObjectDetection
InstanceSegmentation
InstanceSegmentationV2
DefectSegmentation
FastLocating
TextRecognition
TextDetection
UnsupSegmentation
LargeSegModel
FGBGSegmentation
PickAnything
RegisterClassification
SingleCharacterDetection
RegisterUnsupSeg
RegisterCharacterDetection

Definition at line 31 of file type.h.

                      : int32_t {
    Unknown = 0,
    Classification,
    ObjectDetection,
    InstanceSegmentation,
    InstanceSegmentationV2,
    DefectSegmentation,
    FastLocating,
    TextRecognition,
    TextDetection,
    UnsupSegmentation,
    LargeSegModel,
    FGBGSegmentation,
    PickAnything,
    RegisterClassification,
    SingleCharacterDetection,
    RegisterUnsupSeg,
    RegisterCharacterDetection
};

InferDeviceType

enum class mmind::dl::InferDeviceType

strong

Enumerator
Unknown
CPU	CPU mode. It is used when a GPU is not available.
GPUDefault	GPU default mode.
GPUOptimization	GPU optimization mode. In this mode, it takes 1-5 minutes to optimize the model.

Definition at line 55 of file type.h.

                           {
    Unknown = 0,
    CPU = 1,                  
    GPUDefault = 1 << 1,      
    GPUOptimization = 1 << 2, 
};

InferImageType

enum class mmind::dl::InferImageType

strong

Enumerator
Depth
Intensity

Definition at line 73 of file type.h.

                          {
    Depth = 0x0,
    Intensity = 0x1,
};

ModelStatus

enum class mmind::dl::ModelStatus : unsigned

strong

Enumerator
Idle
Converting
ConvertFailed
Converted
Loading
LoadFailed
Loaded

Definition at line 63 of file type.h.

                       : unsigned {
    Idle,
    Converting,
    ConvertFailed,
    Converted,
    Loading,
    LoadFailed,
    Loaded,
};

PrecisionType

enum class mmind::dl::PrecisionType : int32_t

strong

Enumerator
FP16
FP32

Definition at line 53 of file type.h.

: int32_t { FP16, FP32 };

QuickAIMode

enum class mmind::dl::QuickAIMode : int32_t

strong

Enumerator
Registration
Inference

Definition at line 51 of file type.h.

: int32_t { Registration = 0, Inference };

Function Documentation

blobValueFromContour()

MBlobValue mmind::dl::blobValueFromContour

(

const MContour &

contour

)

Computes region feature values (area, width, height, aspect ratio, etc.) for a contour.

The returned MBlobValue can be used for subsequent filtering or other processing.

Parameters

[in]

contour

The contour to analyze.

Returns

MBlobValue containing the computed region features. Returns a default-constructed MBlobValue if analysis yields no result.

operator+() [1/2]

MPoint mmind::dl::operator+ ( const MPoint & p1, const MPoint & p2 )

inline

Definition at line 27 of file MContour.h.

{ return {p1.x + p2.x, p1.y + p2.y}; }

operator+() [2/2]

MPointF mmind::dl::operator+ ( const MPointF & p1, const MPointF & p2 )

constexpr

Definition at line 27 of file MBbox.h.

{
    return {p1.x + p2.x, p1.y + p2.y};
}