generated from freudenreichan/info2Praktikum-NeuronalesNetz
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copilot_ru
| Author | SHA1 | Date | |
|---|---|---|---|
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2b388ab748 |
216
imageInput.c
216
imageInput.c
@ -1,5 +1,4 @@
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#include <stdio.h>
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#include <stdio.h>
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#include <stdint.h>
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#include <stdlib.h>
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#include <stdlib.h>
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#include <string.h>
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#include <string.h>
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#include "imageInput.h"
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#include "imageInput.h"
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@ -8,114 +7,147 @@
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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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/// @brief Gets the next char value from specified and opened file in the moment that is only ONE short int.
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/// @brief Reads a value in little-endian format from file
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/// @param openedFile stream FILE, from which to read
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/// @param openedFile stream FILE, from which to read
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static int getCharValueFromFile(FILE* openedFile) {
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/// @param bytes how many bytes to read
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int addToFile = 0;
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static unsigned int readLittleEndian(FILE* openedFile, int bytes) {
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unsigned int value = 0;
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if (openedFile == NULL) return 0;
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if (openedFile == NULL) return 0;
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addToFile = fgetc(openedFile);
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for (int i = 0; i < bytes; i++) {
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addToFile += fgetc(openedFile) * 256;
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int tmp = fgetc(openedFile);
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return addToFile;
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if (tmp == EOF) return 0;
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}
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value |= ((unsigned int)tmp) << (i * 8);
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GrayScaleImageSeries* readImages(const char *path)
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{
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GrayScaleImageSeries *series = NULL;
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// uint16_t
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FILE* openFile;
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openFile = fopen(path, "rb");
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// file Could not be opened/does not exist
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if (openFile != NULL) {
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char* actualFileTag = malloc(strlen(FILE_HEADER_STRING)+1 * sizeof(char));
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int numberOfImages = 0;
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int width = 0;
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int height = 0;
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for (int i = 0; i < strlen(FILE_HEADER_STRING); i++) {
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char tmpFileChar = fgetc(openFile);
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if (tmpFileChar == EOF) {
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fclose(openFile);
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return NULL;
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}
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actualFileTag[i] = tmpFileChar;
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}
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actualFileTag[strlen(FILE_HEADER_STRING)] = '\0';
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// checks if the files are equal
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int fileTagEqual = strcmp(actualFileTag, FILE_HEADER_STRING);
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//we only need the fileTag to verify its an image for our series.
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free(actualFileTag);
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actualFileTag = NULL;
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//only if equal, the method continues
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if (fileTagEqual == 0) {
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numberOfImages = getCharValueFromFile(openFile);
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// no Images in series -> No image-series
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if (numberOfImages == 0) {
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fclose(openFile);
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return NULL;
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}
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width = getCharValueFromFile(openFile);
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height = getCharValueFromFile(openFile);
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// no height/width --> impossible file
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if(height == 0 || width == 0) {
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fclose(openFile);
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return NULL;
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}
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//all the starting parameters are set --> the images can be read and stored
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series = malloc(sizeof(GrayScaleImageSeries));
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series->count = 0;
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series->images = malloc(numberOfImages * sizeof(GrayScaleImage));
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series->labels = malloc(numberOfImages * sizeof(unsigned char));
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for (int i = 0; i < numberOfImages; i++) {
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series->images[i].height = height;
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series->images[i].width = width;
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series->images[i].buffer = malloc(width * height);
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for (int j = 0; j < (width * height); j++) {
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// allocating the actual matrix image for image
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series->images[i].buffer[j] = fgetc(openFile);
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}
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//rest of the values that only affect the image itself
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series->labels[i] = fgetc(openFile);
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series->count++;
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}
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}
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// the fclose happens here, since every other path closes the file beforehand
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fclose (openFile);
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}
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}
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return value;
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}
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// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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GrayScaleImageSeries *readImages(const char *path)
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{
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FILE* openFile = fopen(path, "rb");
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// file Could not be opened/does not exist
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if (openFile == NULL) {
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return NULL;
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}
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char actualFileTag[strlen(FILE_HEADER_STRING) + 1];
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size_t tagLength = strlen(FILE_HEADER_STRING);
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if (fread(actualFileTag, 1, tagLength, openFile) != tagLength) {
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fclose(openFile);
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return NULL;
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}
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actualFileTag[tagLength] = '\0';
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// checks if the files are equal
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if (strcmp(actualFileTag, FILE_HEADER_STRING) != 0) {
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fclose(openFile);
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return NULL;
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}
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unsigned int numberOfImages = readLittleEndian(openFile, 2);
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// no Images in series -> No image-series
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if (numberOfImages == 0) {
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fclose(openFile);
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return NULL;
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}
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unsigned int width = readLittleEndian(openFile, 2);
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unsigned int height = readLittleEndian(openFile, 2);
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// no height/width --> impossible file
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if(height == 0 || width == 0) {
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fclose(openFile);
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return NULL;
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}
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//all the starting parameters are set --> the images can be read and stored
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GrayScaleImageSeries* series = malloc(sizeof(GrayScaleImageSeries));
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if (series == NULL) {
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fclose(openFile);
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return NULL;
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}
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GrayScaleImage* images = malloc(numberOfImages * sizeof(GrayScaleImage));
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unsigned char* labels = malloc(numberOfImages * sizeof(unsigned char));
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if (images == NULL || labels == NULL) {
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free(images);
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free(labels);
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free(series);
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fclose(openFile);
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return NULL;
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}
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series->count = 0;
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series->images = images;
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series->labels = labels;
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for (unsigned int i = 0; i < numberOfImages; i++) {
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// allocating the actual matrix image for each image
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images[i].buffer = malloc(width * height);
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if (images[i].buffer == NULL) {
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for (unsigned int k = 0; k < i; k++) {
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free(images[k].buffer);
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}
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free(images);
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free(labels);
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free(series);
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fclose(openFile);
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return NULL;
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}
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images[i].height = height;
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images[i].width = width;
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if (fread(images[i].buffer, 1, width * height, openFile) != width * height) {
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for (unsigned int k = 0; k <= i; k++) {
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free(images[k].buffer);
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}
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free(images);
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free(labels);
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free(series);
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fclose(openFile);
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return NULL;
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}
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//rest of the values that only affect the image itself
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int label = fgetc(openFile);
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if (label == EOF) {
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for (unsigned int k = 0; k <= i; k++) {
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free(images[k].buffer);
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}
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free(images);
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free(labels);
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free(series);
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fclose(openFile);
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return NULL;
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}
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series->labels[i] = (unsigned char)label;
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series->count++;
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}
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fclose(openFile);
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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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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) return;
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if (series == NULL) return;
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for (int i = 0; i < series->count; i++) {
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for (int i = 0; i < series->count; i++) {
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free(series->images[i].buffer);
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free(series->images[i].buffer);
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series->images[i].buffer = NULL;
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}
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}
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free(series->images);
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free(series->images);
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series->images = NULL;
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free(series->labels);
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free(series->labels);
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series->labels = NULL;
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free(series);
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free(series);
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series = NULL;
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}
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}
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115
imageInput_old.c
Normal file
115
imageInput_old.c
Normal file
@ -0,0 +1,115 @@
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include "imageInput.h"
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#define BUFFER_SIZE 100
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#define FILE_HEADER_STRING "__info2_image_file_format__"
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/// @brief Gets the next char value from specified and opened file
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/// @param openedFile stream FILE, from which to read
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/// @param iterations how many chars are being taken from (1 char equals 2 Hexdecimals equals 8bit)
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static int getCharValueFromFile(FILE* openedFile, int iterations) {
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int addToFile = 0;
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if (openedFile == NULL) return 0;
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for (int i = 0; i < iterations; i++) {
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int tmp = fgetc(openedFile);
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//If the File ends, the method returns a '0'
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if (openedFile == EOF) return addToFile;
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addToFile += tmp;
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}
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return addToFile;
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}
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// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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GrayScaleImageSeries *readImages(const char *path)
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{
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GrayScaleImageSeries *series = NULL;
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FILE* openFile;
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openFile = fopen(path, "rb");
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// file Could not be opened/does not exist
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if (openFile != NULL) {
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char* actualFileTag = malloc(strlen(FILE_HEADER_STRING) * sizeof(char));
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int numberOfImages = 0;
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int width = 0;
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int height = 0;
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for (int i = 0; i < strlen(FILE_HEADER_STRING); i++) {
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actualFileTag += fgetc(openFile);
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}
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// checks if the files are equal: strcmp should return '0' --> convert it to '1' for 'true'
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int fileTagEqual = !strcmp(actualFileTag, FILE_HEADER_STRING);
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//we only need the fileTag to verify its an image for our series.
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free(actualFileTag);
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actualFileTag = NULL;
|
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if (fileTagEqual) {
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numberOfImages = getCharValueFromFile(openFile, 2);
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// no Images in series -> No image-series
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if (numberOfImages == 0) {
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fclose(openFile);
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return series;
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}
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width = getCharValueFromFile(openFile, 2);
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height = getCharValueFromFile(openFile, 2);
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// no height/width --> impossible file
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|
if(height == 0 || width == 0) {
|
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fclose(openFile);
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|
return series;
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}
|
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|
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//all the starting parameters are set --> the images can be read and stored
|
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GrayScaleImage* images = malloc(numberOfImages * sizeof(GrayScaleImage));
|
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unsigned char* labels = malloc(numberOfImages * sizeof(unsigned char));
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|
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series->count = 0;
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series->images = images;
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series->labels = labels;
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for (int i = 0; i < numberOfImages; i++) {
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for (int j = 0; j < width * height; j++) {
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// allocating the actual matrix image for image
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images[i].buffer = malloc(width * height);
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images[i].height = height;
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images[i].width = width;
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images[i].buffer[j] = fgetc(openFile);
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}
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//rest of the values that only affect the image itself
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series->labels[i] = fgetc(openFile);
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series->count++;
|
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|
}
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}
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}
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fclose(openFile);
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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
|
||||||
|
void clearSeries(GrayScaleImageSeries *series)
|
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|
{
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|
for (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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|
series->images = NULL;
|
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free(series->labels);
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series->labels = NULL;
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}
|
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17
matrix.c
17
matrix.c
@ -1,6 +1,9 @@
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#include <stdlib.h>
|
#include <stdlib.h>
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#include <string.h>
|
#include <string.h>
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#include "matrix.h"
|
#include "matrix.h"
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#include <stdbool.h>
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|
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// TODO Matrix-Funktionen implementieren
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|
|
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Matrix createMatrix(size_t rows, size_t cols)
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Matrix createMatrix(size_t rows, size_t cols)
|
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{
|
{
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@ -14,7 +17,7 @@ Matrix createMatrix(size_t rows, size_t cols)
|
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return m;
|
return m;
|
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}
|
}
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|
|
||||||
//Allocate Matrix buffer
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// Single allocation for entire matrix
|
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m.buffer = malloc(rows * cols * sizeof(MatrixType));
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m.buffer = malloc(rows * cols * sizeof(MatrixType));
|
||||||
|
|
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if(!m.buffer){
|
if(!m.buffer){
|
||||||
@ -22,7 +25,7 @@ Matrix createMatrix(size_t rows, size_t cols)
|
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return m;
|
return m;
|
||||||
}
|
}
|
||||||
|
|
||||||
//Initialize matrix with default value
|
// Initialize (optional)
|
||||||
for(unsigned int i = 0; i < rows * cols; i++){
|
for(unsigned int i = 0; i < rows * cols; i++){
|
||||||
m.buffer[i] = UNDEFINED_MATRIX_VALUE;
|
m.buffer[i] = UNDEFINED_MATRIX_VALUE;
|
||||||
}
|
}
|
||||||
@ -31,7 +34,7 @@ Matrix createMatrix(size_t rows, size_t cols)
|
|||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
void clearMatrix(Matrix* matrix)
|
void clearMatrix(Matrix *matrix)
|
||||||
{
|
{
|
||||||
for (int i = 0; i < matrix->rows; i++) {
|
for (int i = 0; i < matrix->rows; i++) {
|
||||||
for (int j = 0; j < matrix->cols;j++) {
|
for (int j = 0; j < matrix->cols;j++) {
|
||||||
@ -72,7 +75,7 @@ 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)
|
||||||
{
|
{
|
||||||
|
|
||||||
unsigned int doBroadcast = 0;
|
bool doBroadcast = false;
|
||||||
Matrix larger, smaller;
|
Matrix larger, smaller;
|
||||||
|
|
||||||
if(matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols){
|
if(matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols){
|
||||||
@ -83,13 +86,13 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
|
|||||||
{
|
{
|
||||||
larger = matrix1;
|
larger = matrix1;
|
||||||
smaller = matrix2;
|
smaller = matrix2;
|
||||||
doBroadcast = 1;
|
doBroadcast = true;
|
||||||
}
|
}
|
||||||
else if (matrix1.rows == matrix2.rows && matrix1.cols == 1)
|
else if (matrix1.rows == matrix2.rows && matrix1.cols == 1)
|
||||||
{
|
{
|
||||||
larger = matrix2;
|
larger = matrix2;
|
||||||
smaller = matrix1;
|
smaller = matrix1;
|
||||||
doBroadcast = 1;
|
doBroadcast = true;
|
||||||
}
|
}
|
||||||
else{
|
else{
|
||||||
Matrix m = {NULL, 0, 0};
|
Matrix m = {NULL, 0, 0};
|
||||||
@ -98,7 +101,6 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
|
|||||||
|
|
||||||
Matrix outputMatrix = createMatrix(larger.rows, larger.cols);
|
Matrix outputMatrix = createMatrix(larger.rows, larger.cols);
|
||||||
if(doBroadcast){
|
if(doBroadcast){
|
||||||
//Broadcasting
|
|
||||||
for(int i = 0; i < outputMatrix.rows; i++){
|
for(int i = 0; i < outputMatrix.rows; i++){
|
||||||
MatrixType broadcastValue = smaller.buffer[i];
|
MatrixType broadcastValue = smaller.buffer[i];
|
||||||
for(int j = 0; j < outputMatrix.cols; j++){
|
for(int j = 0; j < outputMatrix.cols; j++){
|
||||||
@ -106,7 +108,6 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
} else{
|
} else{
|
||||||
//Classic execution
|
|
||||||
for (int i = 0; i < matrix1.rows;i++) {
|
for (int i = 0; i < matrix1.rows;i++) {
|
||||||
for (int j = 0; j < matrix1.cols; j++) {
|
for (int j = 0; j < matrix1.cols; j++) {
|
||||||
// how this should work in normal Matrix version:
|
// how this should work in normal Matrix version:
|
||||||
|
|||||||
@ -164,6 +164,7 @@ NeuralNetwork loadModel(const char *path)
|
|||||||
|
|
||||||
assignActivations(model);
|
assignActivations(model);
|
||||||
}
|
}
|
||||||
|
printf("%d\n", model.numberOfLayers);
|
||||||
return model;
|
return model;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|||||||
@ -13,30 +13,30 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
|
|||||||
if(file != NULL){
|
if(file != NULL){
|
||||||
const char *fileTag = "__info2_neural_network_file_format__";
|
const char *fileTag = "__info2_neural_network_file_format__";
|
||||||
|
|
||||||
//Write header
|
// Write file header
|
||||||
fwrite(fileTag, sizeof(char), strlen(fileTag), file);
|
fwrite(fileTag, sizeof(char), strlen(fileTag), file);
|
||||||
|
|
||||||
//Write the input dimension of the first layer
|
// Write the input dimension of the first layer
|
||||||
if(nn.numberOfLayers > 0){
|
if(nn.numberOfLayers > 0){
|
||||||
fwrite(&nn.layers[0].weights.cols, sizeof(int), 1, file);
|
fwrite(&nn.layers[0].weights.cols, sizeof(int), 1, file);
|
||||||
}
|
}
|
||||||
|
|
||||||
//Write each layer into file
|
// Write dimensions and data for each layer
|
||||||
for(int i = 0; i < nn.numberOfLayers; i++){
|
for(int i = 0; i < nn.numberOfLayers; i++){
|
||||||
|
|
||||||
//Write output dimension
|
// Write output dimension (rows of weights)
|
||||||
fwrite(&nn.layers[i].weights.rows, sizeof(int), 1, file);
|
fwrite(&nn.layers[i].weights.rows, sizeof(int), 1, file);
|
||||||
|
|
||||||
//Write weight data
|
// Write weight matrix data
|
||||||
int weightSize = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
|
int weightSize = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
|
||||||
fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightSize, file);
|
fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightSize, file);
|
||||||
|
|
||||||
//Write bias data
|
// Write bias matrix data
|
||||||
int biasSize = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
|
int biasSize = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
|
||||||
fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasSize, file);
|
fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasSize, file);
|
||||||
}
|
}
|
||||||
|
|
||||||
//EOF Terminator
|
// Write terminating 0 to signal end of layers
|
||||||
int zero = 0;
|
int zero = 0;
|
||||||
fwrite(&zero, sizeof(int), 1, file);
|
fwrite(&zero, sizeof(int), 1, file);
|
||||||
|
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user