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main
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check-Funk
200
imageInput.c
200
imageInput.c
@ -5,52 +5,14 @@
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#define BUFFER_SIZE 100
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#define BUFFER_SIZE 100
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#define FILE_HEADER_STRING "__info2_image_file_format__"
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#define FILE_HEADER_STRING "__info2_image_file_format__"
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#define HEADER_LEN (sizeof(FILE_HEADER_STRING) - 1) //-1, um \0 Character rauszufiltern
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// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
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// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
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static int checkDimensions(GrayScaleImage imageData){
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static FILE *openImageFile(const char *path)
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{
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return fopen(path, "rb");
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}
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static int ReadCheckHeader(FILE *fp)
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{
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char header[HEADER_LEN + 1]; //Array mit Platz für Header Länge + \0 Character -> String
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if(fread(header, 1, HEADER_LEN, fp) != HEADER_LEN)
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return 0;
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header[HEADER_LEN] = '\0'; // Nullterminator am Ende anhängen
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if(strcmp(header, FILE_HEADER_STRING) != 0) // wenn beide identische sind gibt cmp 0 zurück
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return 0;
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return 1;
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}
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static int readMetaData(FILE *fp, unsigned short *numImages, unsigned short *width, unsigned short *height)
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{
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if(fread(numImages, sizeof(unsigned short), 1, fp) != 1 || fread(width, sizeof(unsigned short), 1, fp) != 1 || fread(height, sizeof(unsigned short), 1, fp)!= 1)
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{
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return 0;
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}
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return 1;
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}
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static int checkDimensions(unsigned int width, unsigned int height)
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{
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int ok = 0;
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int ok = 0;
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if(width > 0 && height > 0)
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if(imageData.width == 10 && imageData.height == 10 && imageData.buffer <= BUFFER_SIZE)
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return ok = 1;
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return ok = 1;
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else
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else
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@ -58,171 +20,15 @@ static int checkDimensions(unsigned int width, unsigned int height)
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}
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}
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static GrayScaleImageSeries *allocateSeriesStruct(unsigned int numImages)
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{
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GrayScaleImageSeries *series = malloc(sizeof(GrayScaleImageSeries));
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if(!series)
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return NULL;
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series->count = numImages;
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//Speicher für die Pointer an sich belegen
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series->images = malloc(numImages * sizeof(GrayScaleImage)); //Speicher für alle Bild-Strukturen, nicht aber für die Pixel selbst (denn image ist nochmal ein Array selbst)
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series->labels = malloc(numImages * sizeof(unsigned char)); //Speicher für alle Labels, diese beiden zeilen in die funktion drüber mit rein
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//Prüfen, ob Speicher für die Arrays reserviert werden konnte, wenn nicht -> Freigabe
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if(series->images == NULL || series->labels == NULL){
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free(series->images); //wenn trotzdem was reingeschrieben wurde, dann freigeben
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free(series->labels);
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free(series);
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return NULL;
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}
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return series;
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}
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static int AllocateCheckPixelData(GrayScaleImageSeries *series, unsigned int numImages, unsigned int width, unsigned int height)
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{
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for(unsigned int i = 0; i < numImages; i++){
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series -> images[i].buffer = malloc(width * height); //Speicher für Pixeldaten selbst
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if(series->images[i].buffer == NULL){
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for(unsigned int j = 0; j < i; j++){
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free(series->images[j].buffer); //wenn Speicher nicht reserviert werden konnte, dann zuerst das Array mit Pixeldaten freigeben
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}
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free(series->images); //anschließend auch die Speicher für Bildstrukturen und Label-Arrays freigeben, weil zuvor für diese schon Speicher reserviert wurde
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free(series->labels);
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free(series);
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return 0;
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}
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}
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return 1;
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}
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static int ReadImagesAndLabels(FILE *fp, GrayScaleImageSeries *series, unsigned int numImages, unsigned int width, unsigned int height)
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{
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for(int i = 0; i < numImages; i++)
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{
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//Breite und Höhe werden gesetzt (GrayScaleImage)
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series -> images[i].width = width;
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series -> images[i].height = height;
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//Pixeldaten einlesen und Prüfen ob alle essentiellen Pixel eingelesen wurden
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if(fread(series -> images[i].buffer, 1, width * height, fp) != (width * height))
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{
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clearSeries(series);
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return 0;
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}
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//Jedes Bild hat ein Label, was direkt danach eingelesen wird und auf Größe geprüft wird
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if(fread(&series -> labels[i], 1, 1, fp) != 1){
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clearSeries(series);
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return 0;
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}
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}
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return 1;
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}
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// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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GrayScaleImageSeries *readImages(const char *path)//funktionsnamen immer klein anfangen
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GrayScaleImageSeries *readImages(const char *path)
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{
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{
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GrayScaleImageSeries *series = NULL;
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GrayScaleImageSeries *series = NULL;
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//Datei im Binärmodus öffnen
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FILE *fp = openImageFile(path); //funktion weglassen weil sie keine zusätzlichen infos bringt
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if(!fp)
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return NULL;
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//Buffer zum Einlesen des Headers
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char header[HEADER_LEN];
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//Prüfen, ob genau die HEADER_LEN Bytes eingelesen werden
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if(!ReadCheckHeader(fp)){
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fclose(fp);
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return NULL;
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}
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//Anzahl der Bilder, Breite und Höhe einlesen
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unsigned short numImages, width, height;
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if(!readMetaData(fp, &numImages, &width, &height)){
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fclose(fp);
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return NULL;
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}
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//Prüfen, ob gültige Länge oder Breite
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if(!checkDimensions(width, height)){
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fclose(fp);
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return NULL;
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}
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//Speicher für die gesamte Bildserie reservieren (aber nur für die Struktur)
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series = allocateSeriesStruct(numImages);
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if(!series) {
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fclose(fp);
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return NULL; //Fehler bei Speicherreservierung
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}
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//Speicher für die Pixeldaten selbst reserviern und prüfen, ob er reserviert werden konnte
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if(!AllocateCheckPixelData(series, numImages, width, height)){
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fclose(fp);
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return NULL;
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}
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//Einlesen der Pixeldaten und des zugehörigen Labels und prüfen auf Fehler
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if(!ReadImagesAndLabels(fp, series, numImages, width, height)){
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fclose(fp);
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return NULL;
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} // funktionen anders aufteilen: erst für alles speicher holen und dann bild und label einlesen aber ist geschmackssache, ziel ist es ohne kommentare auskommen zu können
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fclose(fp);
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return series;
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return series;
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}
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}
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// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
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// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
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void clearSeries(GrayScaleImageSeries *series)
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void clearSeries(GrayScaleImageSeries *series)
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{
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{
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if (series == NULL){
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return;
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}
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}
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for(unsigned int i = 0; i < series->count; i++){
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free(series->images[i].buffer);
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}
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free(series->images);
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free(series->labels);
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free(series);
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}
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8
matrix.c
8
matrix.c
@ -5,7 +5,7 @@
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// TODO Matrix-Funktionen implementieren
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// TODO Matrix-Funktionen implementieren
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enum addModes{SAMEDIMENSIONS, COLVEC, ROWVEC}; // mit typedef arbeiten
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enum addModes{SAMEDIMENSIONS, COLVEC, ROWVEC};
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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@ -84,7 +84,7 @@ MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int co
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}
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}
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static int get_add_mode(Matrix matrix1, Matrix matrix2) //int stimmt zwar, aber man kann auch statt int den enum als typedef und dann als rückgabetyp nehmen
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static int get_add_mode(Matrix matrix1, Matrix matrix2)
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{
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{
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int get_add_mode = -1;
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int get_add_mode = -1;
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@ -114,7 +114,7 @@ static int get_add_mode(Matrix matrix1, Matrix matrix2) //int stimmt zwar, aber
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Matrix addSameDim(Matrix matrix1, Matrix matrix2) //static funktionen!!!
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Matrix addSameDim(Matrix matrix1, Matrix matrix2)
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{
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{
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Matrix matrix_erg = createMatrix(matrix1.rows, matrix1.cols);
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Matrix matrix_erg = createMatrix(matrix1.rows, matrix1.cols);
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@ -197,7 +197,7 @@ Matrix addRowVec(Matrix matrix1, Matrix matrix2)
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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{
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int ok = get_add_mode(matrix1,matrix2); //auch wieder enum als typ statt int (wenn oben typedef dann kann man sich auch das enum sparen)
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int ok = get_add_mode(matrix1,matrix2);
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Matrix matrix_erg = createMatrix(0, 0);
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Matrix matrix_erg = createMatrix(0, 0);
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switch(ok)
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switch(ok)
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@ -170,7 +170,7 @@ NeuralNetwork loadModel(const char *path)
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static Matrix imageBatchToMatrixOfImageVectors(const GrayScaleImage images[], unsigned int count)
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static Matrix imageBatchToMatrixOfImageVectors(const GrayScaleImage images[], unsigned int count)
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{
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{
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Matrix matrix = {0, 0, NULL};
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Matrix matrix = {NULL, 0, 0};
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if(count > 0 && images != NULL)
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if(count > 0 && images != NULL)
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{
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{
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@ -4,61 +4,11 @@
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#include <math.h>
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#include <math.h>
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#include "unity.h"
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#include "unity.h"
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#include "neuralNetwork.h"
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#include "neuralNetwork.h"
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#define IDENT_TAG "__info2_neural_network_file_format__"
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static void writeWeights(Layer layer, FILE *file)
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{
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unsigned int n = (unsigned int)layer.weights.rows * layer.weights.cols; //col und row müssen nicht extra eingelesen werden, da loadModel die Dimensionen selbst aus der Datei liest
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fwrite(layer.weights.buffer, sizeof(MatrixType), n, file);
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}
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static void writeBiases(Layer layer, FILE *file)
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{
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unsigned int n = (unsigned int)layer.biases.rows * layer.biases.cols;
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fwrite(layer.biases.buffer, sizeof(MatrixType), n, file);
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}
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static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
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static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
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{
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{
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//file erstellen und zum Binärschreiben öffnen
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// TODO
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FILE *file = fopen(path, "wb");
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if(file == NULL)
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return;
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//header reinschreiben
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const char *header = IDENT_TAG;
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fwrite(header, sizeof(char), strlen(header), file);
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//Schließen der Datei, falls kein Layer vorhanden
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if (nn.numberOfLayers == 0 || nn.layers == NULL)
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{
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fclose(file);
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return;
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}
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//Erste Eingangsdimension: Spalten der ersten Gewichtsmatrix
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unsigned int inputDim = (unsigned int)nn.layers[0].weights.cols;
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fwrite(&inputDim, sizeof(unsigned int), 1, file);
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//für jede Schicht: Dimension, Gewichte und Biases schreiben
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for (unsigned int i = 0; i < nn.numberOfLayers; i++)
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{
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Layer layer = nn.layers[i];
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unsigned int outputDim = (unsigned int)layer.weights.rows;
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fwrite(&outputDim, sizeof(unsigned int), 1, file);
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//Weight-Matrixwerte schreiben
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writeWeights(layer, file);
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//Bias-Vektorwerte schreiben
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writeBiases(layer, file);
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}
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fclose(file);
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}
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}
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void test_loadModelReturnsCorrectNumberOfLayers(void)
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void test_loadModelReturnsCorrectNumberOfLayers(void)
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Loading…
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Reference in New Issue
Block a user