Modules

Here is a list of all modules:

[detail level 1234]

C Types	Types of Simd Library C API
▼C++ Types	C++ API Types of Simd Library
Allocator	Simd::Allocator structure
►Point	Simd::Point structure and related functions
Related Functions	Related functions for Simd::Point structure
►Rectangle	Simd::Rectangle structure and related functions
Related Functions	Related functions for Simd::Rectangle structure
Pixels	BGR, BGRA, HSL, HSV pixel structures
►View	Simd::View structure and related functions
Related Functions	Related functions for Simd::View structure
►Frame	Simd::Frame structure and related functions
Related Functions	Related functions for Simd::Frame structure
►Pyramid	Simd::Pyramid structure and related functions
Related Functions	Related functions for Simd::Pyramid structure
Detection	Simd::Detection structure (C++ Object Detection Wrapper)
Neural	Simd::Neural is C++ framework for running and learning of Convolutional Neural Network
Motion	Simd::Motion is C++ framework for motion detection
Contour Detector	Simd::ContourDetector structure and related functions
Shift Detector	Simd::ShiftDetector structure and related functions
Image Matcher	Simd::ImageMatcher structure and related functions
Drawing Functions	Drawing functions to annotate debug information
▼Functions	Functions of Simd Library API
Info	Functions with information about library
Memory Utilities	Functions for memory management
Thread Utilities	Functions for thread management
CPU Flags	Functions for CPU flags management
Hash Functions	Functions for hash estimation
Byte Reordering	Functions for bytes reordering
►Conversion	Functions for image format conversions
Universal	Universal functions for image format conversions
Bayer	Functions for Bayer image conversions
BGR-24	Functions for BGR-24 image conversions
BGRA-32	Functions for BGRA-32 image conversions
Gray-8	Functions for Gray-8 image conversions
RGB-24	Functions for RGB-24 image conversions
RGBA-32	Functions for RGBA-32 image conversions
YUV	Functions for YUV image conversions
Interleave	Functions to intereleave planar images
Deinterleave	Functions to deinterleave images
UYVY	Functions for UYVY image conversions
Other	Functions for other image format conversions
Drawing	Functions for image drawing
Correlation	Functions for estimation of correlation
Histogram	Functions for estimation of image histogram
Integral	Functions for estimation of integral image
Operations	Various mathematical operations with images
►Filters	Various image filters
Gaussian Blur Filters	Gaussian blur image filters
Laplace Filters	Laplace image filters
Median Filters	Median image filters
Recursive Bilateral Filters	Recursive bilateral image filters
Sobel Filters	Sobel image filters
Other Filters	Other image filters
Resizing	Functions for image resizing
Shifting	Functions for image shifting
Copying	Functions for image copying
Filling	Functions for image filling
Binarization	Functions for image binarization
►Statistic	Functions for image statistic estimation
Conditional	Functions for conditional estimation of image statistic
Columns Statistic	Estimation of image statistic for separate columns
Rows Statistic	Estimation of image statistic for separate rows
Sobel Statistic	Getting of statistic related with Sobel filters
Other Statistic	Estimation of various image statistic
Image Transformation	Functions for image transformation (transposition, rotation)
►Motion Detection	Functions for motion detection
Texture Estimation	Functions for estimation of background texture
Difference Estimation	Functions for estimation of difference between current frame and background
Segmentation	Functions for image segmentation
Background Updating	Functions for background updating
HOG (Histogram of Oriented Gradients)	Functions for extraction and processing of HOG features
Neural Network	Artificial Neural Network's functions for accelerating of Simd::Neural
Object Detection	Object Detection's low-level API for Simd::Detection
Contour Extraction	Contour extraction functions for accelerating of Simd::ContourDetector
Brain Floating Point (16-bit) Numbers	Functions for conversion between BFloat16 (16-bit Brain Floating Point) and 32-bit Floating Point numbers and other
Half-Precision (16-bit) Float Point Numbers	Functions for conversion between 16-bit and 32-bit float numbers and other
►Synet Framework	Functions for accelerating of inference of neural network in Synet Framework
Types	Types used in Synet Framework
Activation functions	Functions to acceleratе activation functions in Synet Framework
Conversion functions	Functions to acceleratе conversion in Synet Framework
FP32 convolution framework	A framework to accelerate FP32 convolution in Synet Framework
BF16 convolution framework	A framework to accelerate BF16 convolution in Synet Framework
INT8 convolution framework	A framework to accelerate INT8 convolution in Synet Framework
FP32 deconvolution framework	A framework to accelerate FP32 deconvolution in Synet Framework
BF16 deconvolution framework	A framework to accelerate BF16 deconvolution in Synet Framework
GridSampleLayer functions	Functions to acceleratе GridSampleLayer in Synet Framework
InnerProductLayer functions	Functions to acceleratе InnerProductLayer in Synet Framework
InnerProduct16bLayer functions	Functions to acceleratе InnerProduct16bLayer in Synet Framework
BF16 merged convolution framework	A framework to accelerate BF16 merged convolution in Synet Framework
FP32 merged convolution framework	A framework to accelerate FP32 merged convolution in Synet Framework
INT8 merged convolution framework	A framework to accelerate INT8 merged convolution in Synet Framework
NormalizeLayer functions	Functions to acceleratе NormalizeLayer in Synet Framework
PermuteLayer functions	Functions to acceleratе PermuteLayer in Synet Framework
PoolingLayer functions	Functions to acceleratе PoolingLayer in Synet Framework
ScaleLayer functions	Functions to acceleratе layer scale in Synet Framework
Winograd functions	Functions to acceleratе Winograd convolution algorithm in Synet Framework
Add functions	Add accelerated functions used in Synet Framework
Other functions	Other accelerated functions used in Synet Framework
►Quantized functions	Quantized accelerated functions used in Synet Framework
Quantized addition framework	A framework to accelerate Quantized addition in Synet Framework
Quantized convolution framework	A framework to accelerate Quantized convolution in Synet Framework
Quantized merged convolution framework	A framework to accelerate Quantized merged convolution in Synet Framework
QuantizedInnerProductLayer functions	A framework to accelerate QuantizedInnerProductLayer in Synet Framework
Activation functions need to quantization	These function are used to accelerate quantization algorithms in Synet Framework
Other functions need to quantization	These function are used to accelerate quantization algorithms in Synet Framework
Matrix Operations	Matrix operations
Image IO	Image IO (Save/Load) operations
Base64 Conversion	Functions for encoding/decoding of strings in Base64 format
Affine Warp	Functions for Affine Warp of images
Integer Descriptor	Functions for conversion and comparison of Integer Descriptor
Python Wrapper	Python Wrapper of Simd Library