Data Structures

Here are the data structures with brief descriptions:

[detail level 123]

▼NSimd
▼NMotion	Contains Framework for motion detection
CDetector	Class Detector
CEvent	Event structure
CMetadata	Metadata structure
CModel	Model structure
CObject	Object structure
COptions	Options structure
CPosition	Position structure
▼NNeural	Contains Framework for learning of Convolutional Neural Network
CAveragePoolingLayer	AveragePoolingLayer class
CConvolutionalLayer	ConvolutionalLayer class
CDropoutLayer	DropoutLayer class
CFullyConnectedLayer	FullyConnectedLayer class
CFunction	Activation Function structure
CIndex	Index structure
CInputLayer	InputLayer class
CLayer	Layer class
CMaxPoolingLayer	MaxPoolingLayer class
CNetwork	Network class
CPoolingLayer	PoolingLayer class
CTrainOptions	Contains a set of training options
▼NPixel	Contains various pixel structures
CBgr24	24-bit BGR pixel
CBgra32	32-bit BGRA pixel
CHsl24	24-bit HSL pixel
CHsv24	24-bit HSV pixel
CRgb24	24-bit RGB pixel
CRgba32	32-bit RGBA pixel
CAllocator	Aligned memory allocator for Simd C++ types and STL containers
CContourDetector	ContourDetector structure extracts polyline contours from 8-bit gray images
CCpuDesc	Describes type of description which can return function Simd.Lib.CpuDesc
CCpuInfo	Describes type of information which can return function Simd.Lib.CpuInfo
▼CDetection	The Detection structure is a high-level C++ wrapper for object detection with HAAR and LBP cascade classifiers
CObject	The Object structure describes one grouped detection result
CFont	Text drawing
CFrame	The Frame structure provides storage and manipulation of frames (multiplanar images)
CFrameFormat	Describes frame format type
CImage	Storage and manipulation of images
CImageFile	Describes formats of image file
CImageFrame	Storage and manipulation of frames (multiplanar images)
▼CImageMatcher	The ImageMatcher structure provides fast algorithm of searching of similar images
CHash	The Hash structure is used for fast image matching
CResult	The Result structure is a result of matching current image and images added before to ImageMatcher
CLib	A wrapper around Simd Library API
CPixelFormat	Describes pixel format type
CPoint	The Point structure defines the x- and y-coordinates of a point
CPosition	Describes the position of the child sub image relative to the parent image
CPyramid	The Pyramid structure provides storage and manipulation of pyramid images
CRectangle	The Rectangle structure defines the positions of left, top, right and bottom sides of a rectangle
CResizeChannel	Describes resized image channel types
CResizeMethod	Describes methods used in order to resize image
CShiftDetector	ShiftDetector structure provides shift detection of given region at the image
CShiftDetectorDifference	Describes types of function which used to find correlation between background and current image in function Simd.Lib.ShiftDetectorInitBuffers and in class Simd.ShiftingDetector
CShiftDetectorTexture	Describes types of texture which used to find correlation between background and current image in function Simd.Lib.ShiftDetectorInitBuffers and in class Simd.ShiftingDetector
CShiftingDetector	Estimates shift between current and background images
CSynetAdd16b	C++ wrapper of 16-bit (BF16/FP32) element-wise addition
CSynetConvolution16b	C++ wrapper of BF16/FP32 convolution
CSynetConvolution32f	C++ wrapper of FP32 convolution
CSynetConvolution8i	C++ wrapper of INT8 convolution
CSynetDeconvolution16b	C++ wrapper of BF16/FP32 deconvolution (transposed convolution)
CSynetDeconvolution32f	C++ wrapper of FP32 deconvolution (transposed convolution)
CSynetGatherElements	C++ wrapper of ONNX-style GatherElements
CSynetInnerProduct16b	C++ wrapper of BF16/FP32 inner product (matrix multiplication)
CSynetInnerProduct32f	C++ wrapper of FP32 inner product (matrix multiplication)
CSynetMergedConvolution16b	C++ wrapper of BF16/FP32 merged convolution
CSynetMergedConvolution32f	C++ wrapper of FP32 merged convolution
CSynetMergedConvolution8i	C++ wrapper of INT8 merged convolution
CSynetPermute	C++ wrapper of tensor dimension permutation
CSynetQuantizedAdd	C++ wrapper of quantized (UINT8/FP32) element-wise addition
CSynetQuantizedConvolution	C++ wrapper of UINT8 quantized convolution
CSynetQuantizedInnerProduct	C++ wrapper of quantized UINT8/INT8 inner product (matrix multiplication)
CSynetQuantizedMergedConvolution	C++ wrapper of UINT8 quantized merged convolution
CSynetQuantizedMul	C++ wrapper of quantized (UINT8/FP32) element-wise multiplication
CTensorData	Describes tensor data type
CTensorFormat	4D-tensor format type
CTextFont	Text drawing
CView	The View structure provides storage and manipulation of images
CWarpAffineFlags	Describes Warp Affine flags
CYuvType	Describes YUV format type
CSimdConvolutionParameters