11 Commits
5 changed files with 157 additions and 14 deletions
+94 -4
View File
@@ -6,17 +6,107 @@
#define BUFFER_SIZE 100
#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 *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;
}
// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
//Bereinigt den Speicher
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);
}
+24 -7
View File
@@ -1,6 +1,7 @@
#include <stdlib.h>
#include <string.h>
#include "matrix.h"
#include <stdio.h>
Matrix createMatrix(unsigned int rows, unsigned int cols)
{
@@ -20,6 +21,7 @@ Matrix createMatrix(unsigned int rows, unsigned int cols)
if (mat.buffer == NULL)
{
clearMatrix(&mat);
perror("could not allocate memory");
}
return mat;
@@ -60,14 +62,23 @@ 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)
{
if (matrix1.rows != matrix2.rows)
{
clearMatrix(&resMat);
return resMat;
}
else if (matrix1.cols == 1)
// matrix1 is a vector
if (matrix1.cols == 1)
{
// broadcast vector
for (size_t m = 0; m < matrix2.rows; m++)
@@ -79,6 +90,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
}
return resMat;
}
// matrix2 is a vector
else if (matrix2.cols == 1)
{
// broadcast vector
@@ -91,6 +103,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
}
return resMat;
}
// addition not possible
else
{
clearMatrix(&resMat);
@@ -110,7 +123,6 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
return resMat;
}
// TODO implement
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
{
if (matrix1.cols != matrix2.rows || matrix1.buffer == NULL || matrix2.buffer == NULL)
@@ -121,6 +133,11 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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++)
+1 -2
View File
@@ -8,10 +8,9 @@ typedef float MatrixType;
// Matrixtyp
typedef struct Matrix
{
MatrixType *buffer;
size_t rows;
size_t cols;
MatrixType *buffer;
} Matrix;
Matrix createMatrix(unsigned int rows, unsigned int cols);
+37 -1
View File
@@ -5,10 +5,46 @@
#include "unity.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)
{
// 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)
+1
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@@ -0,0 +1 @@
some_tag