README
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Gosl. ml/imgd. Machine Learning: Functions to Handle Images
More information is available in the documentation of this package.
This package contains some functions and structures to assists on Machine Learning works involving images.
- Sample holds image data (e.g. pixel intensities)
- Board holds a collection of Samples for displaying purposes
TODO
- Implement color versions of Sample and Board
- Add more tests
- Add benchmarks
Documentation
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Overview ¶
Package imgd (image-data) adds functionality to process image-data, e.g. for pattern recognition using images.
Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func GetGrayImage ¶
GetGrayImage returns a gray image object
Types ¶
type GrayBoard ¶
type GrayBoard struct {
// contains filtered or unexported fields
}
GrayBoard holds grayscale figure data
func NewGrayBoard ¶
NewGrayBoard returns a new board to display samples
func (*GrayBoard) NumBins ¶
NumBins returns the computed total number of bins/spots/places in board; i.e. nrow * ncol
type GraySample ¶
type GraySample struct {
// contains filtered or unexported fields
}
GraySample holds sample data corresponding go grayscale images
func NewGraySample ¶
func NewGraySample(idx, size int, X *la.Matrix, rowMaj bool) (o *GraySample)
NewGraySample returns a new sample data
idx -- position in X matrix size -- total number of pixels = width*height X -- matrix with all pixel data (intensity of gray) rowMaj -- data is stored as a row-major matrix instead of col-major
type GraySamples ¶
type GraySamples []*GraySample
GraySamples holds a set of gray sample data
func NewGraySamples ¶
func NewGraySamples(X *la.Matrix, nSelected int, rowMaj, random bool) (selected GraySamples)
NewGraySamples returns a set of randomly selected samples
func (*GraySamples) Stat ¶
func (o *GraySamples) Stat() (smin, smax float64, maxWidth, maxHeight int)
Stat returns some statistics about all samples smin and smax are the min and max intensities
Source Files