Compare commits
15 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
3a9d8275a8 | ||
|
|
bbb0ea1cf5 | ||
|
|
12825cc1d3 | ||
|
|
633ee723f4 | ||
|
|
7ea80137b0 | ||
| 6ba9ba3195 | |||
|
|
9c3d9f0a40 | ||
| f4427d2892 | |||
| 84b65525a6 | |||
|
|
92ad1e1c31 | ||
|
|
6137e45bdb | ||
|
|
0d7f380d87 | ||
|
|
645d471860 | ||
| 721f5cc2d1 | |||
|
|
79ad1285b5 |
3
.gitignore
vendored
3
.gitignore
vendored
@ -1,4 +1,5 @@
|
|||||||
mnist
|
mnist
|
||||||
runTests
|
runTests
|
||||||
*.o
|
*.o
|
||||||
*.exe
|
*.exe
|
||||||
|
runMatrixTests
|
||||||
98
imageInput.c
98
imageInput.c
@ -6,17 +6,107 @@
|
|||||||
#define BUFFER_SIZE 100
|
#define BUFFER_SIZE 100
|
||||||
#define FILE_HEADER_STRING "__info2_image_file_format__"
|
#define FILE_HEADER_STRING "__info2_image_file_format__"
|
||||||
|
|
||||||
// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
|
//Datei öffnen, Header, Anzahl, Höhe und Breite lesen, geöffnete Datei zurückgeben
|
||||||
|
static FILE* openAndReadShort (const char *path, unsigned short *count, unsigned short *width, unsigned short *height) {
|
||||||
|
FILE *file = fopen(path, "rb");
|
||||||
|
if (!file) {
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
size_t headerLength = strlen(FILE_HEADER_STRING);
|
||||||
|
char *header = malloc (headerLength + 1);
|
||||||
|
if(!header) {
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
|
||||||
// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
|
if (fread(header, sizeof(char), headerLength, file) != headerLength) {
|
||||||
|
free (header);
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
|
||||||
|
header[headerLength] = '\0';
|
||||||
|
|
||||||
|
if (strcmp (header, FILE_HEADER_STRING) != 0) {
|
||||||
|
free(header);
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
|
||||||
|
free (header);
|
||||||
|
|
||||||
|
fread(count, sizeof(unsigned short), 1, file);
|
||||||
|
fread(width, sizeof(unsigned short), 1, file);
|
||||||
|
fread(height, sizeof(unsigned short), 1, file);
|
||||||
|
|
||||||
|
return file;
|
||||||
|
}
|
||||||
|
|
||||||
|
//Speicher anlegen und Pixel eines Bildes einlesen
|
||||||
|
static GrayScaleImage* readPixles (FILE *file, unsigned short *width, unsigned short *height) {
|
||||||
|
GrayScaleImage *image = malloc (sizeof(GrayScaleImage));
|
||||||
|
image->width = *width;
|
||||||
|
image->height = *height;
|
||||||
|
image->buffer = malloc ((*width) * (*height) * sizeof(GrayScalePixelType));
|
||||||
|
if (!image->buffer) {
|
||||||
|
free(image);
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
|
||||||
|
for (unsigned int i = 0; i < (*width) * (*height); i++) {
|
||||||
|
unsigned char pixel;
|
||||||
|
if (fread(&pixel, sizeof(unsigned char), 1, file) != 1) {
|
||||||
|
free(image->buffer);
|
||||||
|
free(image);
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
image->buffer[i] = pixel;
|
||||||
|
}
|
||||||
|
|
||||||
|
return image;
|
||||||
|
}
|
||||||
|
|
||||||
|
//Ausführen von openAndReadShort, Anlegen des Speichers für Bilderserie, readPixles wird für jedes Bild ausgeführt
|
||||||
|
//Nach jedem Bild wird das zugehörige Label gelesen, bei sämtlichen Fehlern wird NULL zurückgegeben und Speicher durch clearSeries bereinigt
|
||||||
GrayScaleImageSeries *readImages(const char *path)
|
GrayScaleImageSeries *readImages(const char *path)
|
||||||
{
|
{
|
||||||
GrayScaleImageSeries *series = NULL;
|
unsigned short count = 0, width = 0, height = 0;
|
||||||
|
|
||||||
|
FILE *file = openAndReadShort(path, &count, &width, &height);
|
||||||
|
if (file == 0) {
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
GrayScaleImageSeries *series = malloc(sizeof(GrayScaleImageSeries));
|
||||||
|
if (!series) {
|
||||||
|
fclose(file);
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
series->count = count;
|
||||||
|
|
||||||
|
series->images = malloc(count * sizeof(GrayScaleImage));
|
||||||
|
series->labels = malloc(count* sizeof(unsigned char));
|
||||||
|
|
||||||
|
for (unsigned int i = 0; i < series->count; i++) {
|
||||||
|
GrayScaleImage *image = readPixles(file, &width, &height);
|
||||||
|
series->images[i] = *image;
|
||||||
|
free(image);
|
||||||
|
|
||||||
|
if (fread(&series->labels[i], sizeof(unsigned char), 1, file) != 1) {
|
||||||
|
clearSeries(series);
|
||||||
|
fclose(file);
|
||||||
|
return NULL;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
fclose(file);
|
||||||
|
|
||||||
return series;
|
return series;
|
||||||
}
|
}
|
||||||
|
|
||||||
// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
|
//Bereinigt den Speicher
|
||||||
void clearSeries(GrayScaleImageSeries *series)
|
void clearSeries(GrayScaleImageSeries *series)
|
||||||
{
|
{
|
||||||
|
for (unsigned int i = 0; i < series->count; i++) {
|
||||||
|
free(series->images[i].buffer);
|
||||||
|
}
|
||||||
|
|
||||||
|
free(series->images);
|
||||||
|
free(series->labels);
|
||||||
|
free(series);
|
||||||
}
|
}
|
||||||
137
matrix.c
137
matrix.c
@ -1,35 +1,154 @@
|
|||||||
#include <stdlib.h>
|
#include <stdlib.h>
|
||||||
#include <string.h>
|
#include <string.h>
|
||||||
#include "matrix.h"
|
#include "matrix.h"
|
||||||
|
#include <stdio.h>
|
||||||
// TODO Matrix-Funktionen implementieren
|
|
||||||
|
|
||||||
Matrix createMatrix(unsigned int rows, unsigned int cols)
|
Matrix createMatrix(unsigned int rows, unsigned int cols)
|
||||||
{
|
{
|
||||||
|
Matrix mat = {.rows = rows, .cols = cols};
|
||||||
|
// If one dimension is 0, return both dimensions as 0 and don't init the array/buffer.
|
||||||
|
if (rows == 0 || cols == 0)
|
||||||
|
{
|
||||||
|
mat.rows = 0;
|
||||||
|
mat.cols = 0;
|
||||||
|
return mat;
|
||||||
|
}
|
||||||
|
|
||||||
|
// allocate contiguous and 0 initialized memory
|
||||||
|
mat.buffer = calloc(rows * cols, sizeof(MatrixType));
|
||||||
|
|
||||||
|
// check if calloc failed
|
||||||
|
if (mat.buffer == NULL)
|
||||||
|
{
|
||||||
|
clearMatrix(&mat);
|
||||||
|
perror("could not allocate memory");
|
||||||
|
}
|
||||||
|
|
||||||
|
return mat;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// reduce the dimensions to (0, 0) and free the memory
|
||||||
void clearMatrix(Matrix *matrix)
|
void clearMatrix(Matrix *matrix)
|
||||||
{
|
{
|
||||||
|
free(matrix->buffer);
|
||||||
|
matrix->buffer = NULL;
|
||||||
|
matrix->cols = 0;
|
||||||
|
matrix->rows = 0;
|
||||||
}
|
}
|
||||||
|
|
||||||
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
||||||
{
|
{
|
||||||
|
// do nothing if idx is not in array or matrix buffer is NULL
|
||||||
|
if (!(rowIdx < matrix.rows) || !(colIdx < matrix.cols) || matrix.buffer == NULL)
|
||||||
|
{
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
matrix.buffer[rowIdx * matrix.cols + colIdx] = value;
|
||||||
}
|
}
|
||||||
|
|
||||||
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
||||||
{
|
{
|
||||||
|
// return UNDEFINED_MATRIX_VALUE if idx is not in array or matrix buffer is NULL
|
||||||
}
|
if (!(rowIdx < matrix.rows) || !(colIdx < matrix.cols) || matrix.buffer == NULL)
|
||||||
|
{
|
||||||
|
return UNDEFINED_MATRIX_VALUE;
|
||||||
|
}
|
||||||
|
|
||||||
|
return matrix.buffer[rowIdx * matrix.cols + colIdx];
|
||||||
|
};
|
||||||
|
|
||||||
Matrix add(const Matrix matrix1, const Matrix matrix2)
|
Matrix add(const Matrix matrix1, const Matrix matrix2)
|
||||||
{
|
{
|
||||||
|
Matrix resMat = (matrix1.cols > matrix2.cols) ? createMatrix(matrix1.rows, matrix1.cols) : createMatrix(matrix2.rows, matrix2.cols);
|
||||||
|
|
||||||
|
if (resMat.buffer == NULL)
|
||||||
|
{
|
||||||
|
return createMatrix(0, 0);
|
||||||
|
}
|
||||||
|
|
||||||
|
// matrices not compatible
|
||||||
|
if (matrix1.rows != matrix2.rows)
|
||||||
|
{
|
||||||
|
clearMatrix(&resMat);
|
||||||
|
return resMat;
|
||||||
|
}
|
||||||
|
|
||||||
|
// check if broadcasting is possible
|
||||||
|
if (matrix1.cols != matrix2.cols)
|
||||||
|
{
|
||||||
|
// matrix1 is a vector
|
||||||
|
if (matrix1.cols == 1)
|
||||||
|
{
|
||||||
|
// broadcast vector
|
||||||
|
for (size_t m = 0; m < matrix2.rows; m++)
|
||||||
|
{
|
||||||
|
for (size_t n = 0; n < matrix2.cols; n++)
|
||||||
|
{
|
||||||
|
setMatrixAt(getMatrixAt(matrix2, m, n) + getMatrixAt(matrix1, m, 0), resMat, m, n);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return resMat;
|
||||||
|
}
|
||||||
|
// matrix2 is a vector
|
||||||
|
else if (matrix2.cols == 1)
|
||||||
|
{
|
||||||
|
// broadcast vector
|
||||||
|
for (size_t m = 0; m < matrix1.rows; m++)
|
||||||
|
{
|
||||||
|
for (size_t n = 0; n < matrix1.cols; n++)
|
||||||
|
{
|
||||||
|
setMatrixAt(getMatrixAt(matrix1, m, n) + getMatrixAt(matrix2, m, 0), resMat, m, n);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return resMat;
|
||||||
|
}
|
||||||
|
// addition not possible
|
||||||
|
else
|
||||||
|
{
|
||||||
|
clearMatrix(&resMat);
|
||||||
|
return resMat;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
for (size_t m = 0; m < matrix1.rows; m++)
|
||||||
|
{
|
||||||
|
for (size_t n = 0; n < matrix1.cols; n++)
|
||||||
|
{
|
||||||
|
// this is unnecessarily complicated because at this point we already know that the matrices are compatible
|
||||||
|
setMatrixAt(getMatrixAt(matrix1, m, n) + getMatrixAt(matrix2, m, n), resMat, m, n);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return resMat;
|
||||||
}
|
}
|
||||||
|
|
||||||
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
|
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
|
||||||
{
|
{
|
||||||
|
if (matrix1.cols != matrix2.rows || matrix1.buffer == NULL || matrix2.buffer == NULL)
|
||||||
|
{
|
||||||
|
return createMatrix(0, 0);
|
||||||
|
}
|
||||||
|
|
||||||
|
int rows = matrix1.rows, cols = matrix2.cols;
|
||||||
|
Matrix resMat = createMatrix(rows, cols);
|
||||||
|
|
||||||
|
if (resMat.buffer == NULL)
|
||||||
|
{
|
||||||
|
return createMatrix(0, 0);
|
||||||
|
}
|
||||||
|
|
||||||
|
for (size_t rowIdx = 0; rowIdx < rows; rowIdx++)
|
||||||
|
{
|
||||||
|
for (size_t colIdx = 0; colIdx < cols; colIdx++)
|
||||||
|
{
|
||||||
|
int curCellVal = 0;
|
||||||
|
for (size_t k = 0; k < matrix1.cols; k++)
|
||||||
|
{
|
||||||
|
curCellVal += getMatrixAt(matrix1, rowIdx, k) * getMatrixAt(matrix2, k, colIdx);
|
||||||
|
}
|
||||||
|
setMatrixAt(curCellVal, resMat, rowIdx, colIdx);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return resMat;
|
||||||
}
|
}
|
||||||
10
matrix.h
10
matrix.h
@ -5,8 +5,13 @@
|
|||||||
|
|
||||||
typedef float MatrixType;
|
typedef float MatrixType;
|
||||||
|
|
||||||
// TODO Matrixtyp definieren
|
// Matrixtyp
|
||||||
|
typedef struct Matrix
|
||||||
|
{
|
||||||
|
MatrixType *buffer;
|
||||||
|
size_t rows;
|
||||||
|
size_t cols;
|
||||||
|
} Matrix;
|
||||||
|
|
||||||
Matrix createMatrix(unsigned int rows, unsigned int cols);
|
Matrix createMatrix(unsigned int rows, unsigned int cols);
|
||||||
void clearMatrix(Matrix *matrix);
|
void clearMatrix(Matrix *matrix);
|
||||||
@ -15,5 +20,4 @@ MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int co
|
|||||||
Matrix add(const Matrix matrix1, const Matrix matrix2);
|
Matrix add(const Matrix matrix1, const Matrix matrix2);
|
||||||
Matrix multiply(const Matrix matrix1, const Matrix matrix2);
|
Matrix multiply(const Matrix matrix1, const Matrix matrix2);
|
||||||
|
|
||||||
|
|
||||||
#endif
|
#endif
|
||||||
|
|||||||
@ -5,10 +5,46 @@
|
|||||||
#include "unity.h"
|
#include "unity.h"
|
||||||
#include "neuralNetwork.h"
|
#include "neuralNetwork.h"
|
||||||
|
|
||||||
|
static void writeLayer(FILE *file, const Matrix weights, const Matrix biases, unsigned int inputDim)
|
||||||
|
{
|
||||||
|
unsigned int outputDim = (unsigned int)weights.rows;
|
||||||
|
fwrite(&outputDim, sizeof(unsigned int), 1, file);
|
||||||
|
if (weights.buffer != NULL)
|
||||||
|
fwrite(weights.buffer, sizeof(MatrixType), outputDim * inputDim, file);
|
||||||
|
|
||||||
|
if (biases.buffer != NULL)
|
||||||
|
fwrite(biases.buffer, sizeof(MatrixType), outputDim, file);
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
|
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
|
||||||
{
|
{
|
||||||
// TODO
|
FILE *file = fopen(path, "wb");
|
||||||
|
if (!file) return;
|
||||||
|
|
||||||
|
const char tag[] = "__info2_neural_network_file_format__";
|
||||||
|
fwrite(tag, sizeof(char), strlen(tag), file);
|
||||||
|
|
||||||
|
if (nn.numberOfLayers == 0)
|
||||||
|
{
|
||||||
|
unsigned int zero = 0;
|
||||||
|
fwrite(&zero, sizeof(unsigned int), 1, file);
|
||||||
|
fclose(file);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
unsigned int inputDim = (unsigned int)nn.layers[0].weights.cols;
|
||||||
|
fwrite(&inputDim, sizeof(unsigned int), 1, file);
|
||||||
|
|
||||||
|
for (int i = 0; i < nn.numberOfLayers; i++)
|
||||||
|
{
|
||||||
|
writeLayer(file, nn.layers[i].weights, nn.layers[i].biases, inputDim);
|
||||||
|
inputDim = (unsigned int)nn.layers[i].weights.rows;
|
||||||
|
}
|
||||||
|
unsigned int zero = 0;
|
||||||
|
fwrite(&zero, sizeof(unsigned int), 1, file);
|
||||||
|
|
||||||
|
fclose(file);
|
||||||
}
|
}
|
||||||
|
|
||||||
void test_loadModelReturnsCorrectNumberOfLayers(void)
|
void test_loadModelReturnsCorrectNumberOfLayers(void)
|
||||||
|
|||||||
1
testFile.info2
Normal file
1
testFile.info2
Normal file
@ -0,0 +1 @@
|
|||||||
|
some_tag
|
||||||
Loading…
x
Reference in New Issue
Block a user