Simd Library Documentation.
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Main Page
Modules
Data Structures
Data Structures
Class Hierarchy
Data Fields
Data Structures
Here are the data structures with brief descriptions:
[detail level
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N
Simd
▼
N
Neural
Contains Framework for learning of Convolutional
Neural
Network
C
ConvolutionalLayer
ConfolutionLayer class
C
DropoutLayer
DroputLayer class
C
FullyConnectedLayer
FullyConnectedLayer
class
C
Function
Activation
Function
structure
C
Index
Index
structure
C
InputLayer
InputLayer
class
C
Layer
Layer
class
C
MaxPoolingLayer
MaxPoolingLayer
class
C
Network
Network
class
C
TrainOptions
Contains a set of training options
▼
N
Pixel
Contains various pixel structures
C
Bgr24
24-bit BGR pixel
C
Bgra32
32-bit BGRA pixel
C
Hsl24
24-bit HSL pixel
C
Hsv24
24-bit HSV pixel
C
Allocator
Aligned memory allocator
C
ContourDetector
ContourDetector
structure provides detection of contours at the image
▼
C
Detection
The
Detection
structure provides object detection with using of HAAR and LBP cascade classifiers
C
Object
The
Object
structure describes detected object
C
Frame
The
Frame
structure provides storage and manipulation of frames (multiplanar images)
▼
C
ImageMatcher
The
ImageMatcher
structure provides fast algorithm of searching of similar images
C
Hash
The
Hash
structure is used for fast image matching
C
Result
The
Result
structure is a result of matching current image and images added before to
ImageMatcher
C
Point
The
Point
structure defines the x- and y-coordinates of a point
C
Pyramid
The
Pyramid
structure provides storage and manipulation of pyramid images
C
Rectangle
The
Rectangle
structure defines the positions of left, top, right and bottom sides of a rectangle
C
ShiftDetector
ShiftDetector
structure provides shift detection of given region at the image
C
View
The
View
structure provides storage and manipulation of images