hilfsfunktionen und matrix fix
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3f539cbe1d
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79
imageInput.c
79
imageInput.c
@ -8,6 +8,48 @@
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// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
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static int read_header(FILE *file, unsigned short *count, unsigned short *width, unsigned short *height)
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{
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size_t headerLEN = strlen(FILE_HEADER_STRING);
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char buffer[BUFFER_SIZE];
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if (headerLEN >= BUFFER_SIZE)
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{
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return 0;
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}
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if (fread(buffer, 1, headerLEN, file) != headerLEN)
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{
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return 0;
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}
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buffer[headerLEN] = '\0';
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if (strcmp(buffer, FILE_HEADER_STRING) != 0)
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{
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return 0;
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}
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if (fread(count, sizeof(unsigned short), 1, file) != 1 || fread(width, sizeof(unsigned short), 1, file) != 1 ||
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fread(height, sizeof(unsigned short), 1, file) != 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 read_single_image(FILE *file, GrayScaleImage *image)
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{
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unsigned int number_of_pixel = image->width * image->height;
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if (fread(image->buffer, sizeof(GrayScalePixelType), number_of_pixel, file) != number_of_pixel) // fehler beim lesen
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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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// 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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@ -17,26 +59,9 @@ GrayScaleImageSeries *readImages(const char *path)
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return 0;
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}
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const size_t headerLEN = strlen(FILE_HEADER_STRING);
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char buffer[BUFFER_SIZE];
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unsigned short count, width, height;
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if (fread(buffer, 1, headerLEN, file) != headerLEN)
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{
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fclose(file);
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return 0;
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}
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buffer[headerLEN] = '\0';
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if (strcmp(buffer, FILE_HEADER_STRING) != 0)
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{
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fclose(file);
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return 0;
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}
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unsigned short count, height, width;
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if (fread(&count, sizeof(unsigned short), 1, file) != 1 || fread(&height, sizeof(unsigned short), 1, file) != 1 ||
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fread(&width, sizeof(unsigned short), 1, file) != 1)
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if (!read_header(file, &count, &width, &height))
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{
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fclose(file);
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return 0;
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@ -65,7 +90,7 @@ GrayScaleImageSeries *readImages(const char *path)
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{
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series->images[i].width = width;
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series->images[i].height = height;
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series->images[i].buffer = malloc(width * height);
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series->images[i].buffer = malloc(width * height * sizeof(GrayScalePixelType));
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if (!series->images[i].buffer)
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{
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@ -73,13 +98,8 @@ GrayScaleImageSeries *readImages(const char *path)
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fclose(file);
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return 0;
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}
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}
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for (int i = 0; i < count; i++)
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{
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size_t pixel_count = width * height;
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if (fread(series->images[i].buffer, 1, pixel_count, file) != pixel_count)
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if (!read_single_image(file, &series->images[i]))
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{
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clearSeries(series);
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fclose(file);
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@ -101,17 +121,14 @@ GrayScaleImageSeries *readImages(const char *path)
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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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{
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if (series == 0)
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return;
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if (series->images)
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if (series)
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{
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for (int i = 0; i < series->count; i++)
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{
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free(series->images[i].buffer);
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}
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free(series->images);
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}
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free(series->labels);
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free(series);
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}
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}
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@ -54,7 +54,7 @@ void test_readImagesReturnsCorrectImageWidth(void)
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GrayScaleImageSeries *series = NULL;
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const unsigned short expectedWidth = 10;
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const char *path = "testFile.info2";
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prepareImageFile(path, 8, expectedWidth, 2, 1);
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prepareImageFile(path, expectedWidth, 8, 2, 1);
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series = readImages(path);
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TEST_ASSERT_NOT_NULL(series);
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TEST_ASSERT_NOT_NULL(series->images);
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@ -70,7 +70,7 @@ void test_readImagesReturnsCorrectImageHeight(void)
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GrayScaleImageSeries *series = NULL;
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const unsigned short expectedHeight = 10;
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const char *path = "testFile.info2";
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prepareImageFile(path, expectedHeight, 8, 2, 1);
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prepareImageFile(path, 8, expectedHeight, 2, 1);
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series = readImages(path);
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TEST_ASSERT_NOT_NULL(series);
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TEST_ASSERT_NOT_NULL(series->images);
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@ -119,6 +119,13 @@ void test_readImagesFailsOnWrongFileTag(void)
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remove(path);
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}
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// Tests der Hilfsfunktionen
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void test_read_header(void)
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{
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}
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void setUp(void) {
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// Falls notwendig, kann hier Vorbereitungsarbeit gemacht werden
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}
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4
matrix.c
4
matrix.c
@ -138,7 +138,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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fprintf(stderr, "Fehler: Matrizen haben unterschiedliche Größen (%u x %u) und (%u x %u)\n",
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matrix1.rows, matrix1.cols, matrix2.rows, matrix2.cols);
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Matrix empty = {0, 0, NULL};
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Matrix empty = {NULL, 0, 0};
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return empty;
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}
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@ -149,7 +149,7 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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fprintf(stderr, "Fehler: Matrizen der Dimension (%u x %u) und (%u x %u) koennen nicht multipliziert werden\n",
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matrix1.rows, matrix1.cols, matrix2.rows, matrix2.cols);
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Matrix empty = {0, 0, NULL};
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Matrix empty = {NULL, 0, 0};
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return empty;
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}
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2
matrix.h
2
matrix.h
@ -8,9 +8,9 @@ typedef float MatrixType;
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// TODO Matrixtyp definieren
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typedef struct Matrix {
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MatrixType *buffer;
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unsigned int rows;
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unsigned int cols;
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MatrixType *buffer;
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} Matrix;
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@ -5,10 +5,9 @@
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#include "unity.h"
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#include "neuralNetwork.h"
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static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
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{
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// TODO
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}
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void test_loadModelReturnsCorrectNumberOfLayers(void)
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@ -205,8 +204,8 @@ void test_predictReturnsCorrectLabels(void)
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Matrix biases1 = {.buffer = biasBuffer1, .rows = 2, .cols = 1};
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Matrix biases2 = {.buffer = biasBuffer2, .rows = 3, .cols = 1};
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Matrix biases3 = {.buffer = biasBuffer3, .rows = 5, .cols = 1};
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Layer layers[] = {{.weights=weights1, .biases=biases1, .activation=someActivation}, \
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{.weights=weights2, .biases=biases2, .activation=someActivation}, \
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Layer layers[] = {{.weights = weights1, .biases = biases1, .activation = someActivation},
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{.weights = weights2, .biases = biases2, .activation = someActivation},
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{.weights = weights3, .biases = biases3, .activation = someActivation}};
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NeuralNetwork netUnderTest = {.layers = layers, .numberOfLayers = 3};
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unsigned char *predictedLabels = predict(netUnderTest, inputImages, 2);
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@ -216,11 +215,13 @@ void test_predictReturnsCorrectLabels(void)
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free(predictedLabels);
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}
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void setUp(void) {
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void setUp(void)
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{
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// Falls notwendig, kann hier Vorbereitungsarbeit gemacht werden
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}
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void tearDown(void) {
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void tearDown(void)
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{
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// Hier kann Bereinigungsarbeit nach jedem Test durchgeführt werden
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}
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