image.c File Reference

Image handling functions. More...

#include "image.h"

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Functions
static void	col2im_add_pixel (double *im, const int height, const int width, int row, int col, const int channel, const int pad, const double val)
static double	im2col_get_pixel (const double *im, const int height, const int width, int row, int col, const int channel, const int pad)
void	col2im (const double *data_col, const int channels, const int height, const int width, const int ksize, const int stride, const int pad, double *data_im)
	Transforms a column vector to an image vector. More...
void	im2col (const double *data_im, const int channels, const int height, const int width, const int ksize, const int stride, const int pad, double *data_col)
	Transforms an image vector to a column vector. More...

Detailed Description

Image handling functions.

Author

Richard Preen rpree.nosp@m.n@gm.nosp@m.ail.c.nosp@m.om

Copyright

The Authors.

Date

2020–2023.

Definition in file image.c.

Function Documentation

col2im()

void col2im	(	const double *	data_col,
		const int	channels,
		const int	height,
		const int	width,
		const int	ksize,
		const int	stride,
		const int	pad,
		double *	data_im
	)

Transforms a column vector to an image vector.

Used for GEMM convolutional backward propagation.

Parameters

[in]	data_col	Input column vector.
[in]	channels	Number of image channels.
[in]	height	Image height.
[in]	width	Image width.
[in]	ksize	Kernel size.
[in]	stride	Kernel stride.
[in]	pad	Kernel padding.
[out]	data_im	The resulting image vector.

Definition at line 63 of file image.c.

References col2im_add_pixel().

Referenced by neural_layer_convolutional_backward().

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col2im_add_pixel()

static void col2im_add_pixel ( double *  im, const int  height, const int  width, int  row, int  col, const int  channel, const int  pad, const double  val  )

static

Definition at line 27 of file image.c.

Referenced by col2im().

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im2col()

void im2col	(	const double *	data_im,
		const int	channels,
		const int	height,
		const int	width,
		const int	ksize,
		const int	stride,
		const int	pad,
		double *	data_col
	)

Transforms an image vector to a column vector.

Used for GEMM convolutional forward propagation.

Parameters

[in]	data_im	Image vector of dimension: height × width × channels.
[in]	channels	Number of image channels.
[in]	height	Image height.
[in]	width	Image width.
[in]	ksize	Kernel size.
[in]	stride	Kernel stride.
[in]	pad	Kernel padding.
[out]	data_col	The resulting column vector.

Definition at line 100 of file image.c.

References im2col_get_pixel().

Referenced by neural_layer_convolutional_backward(), and neural_layer_convolutional_forward().

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im2col_get_pixel()

static double im2col_get_pixel ( const double *  im, const int  height, const int  width, int  row, int  col, const int  channel, const int  pad  )

static

Definition at line 39 of file image.c.

Referenced by im2col().

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