Author SHA1 Message Date
hofmannjo99187 580e8d4296 pseudocode zum imageInput erstellt 2025-11-11 11:13:42 +01:00
6 changed files with 47 additions and 169 deletions
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+37
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@@ -13,6 +13,43 @@ GrayScaleImageSeries *readImages(const char *path)
{ {
GrayScaleImageSeries *series = NULL; GrayScaleImageSeries *series = NULL;
FILE *readSource;
unsigned int sizeOfByteInBytes = 1;
unsigned int numberOfBytesToRead = 1;
readSource = fopen(path, "rb");
if (readSource = NULL)
{
//error datei nicht gefunden
}
// dateiaufbau:
// string __info2_image_file_format__
fread(/*pufferHier*/, /*Stringsize*/, 1, readSource);
// INT - Anzahl der Bilder
fread(/*pufferHier*/, /*sizeOf(int)*/, 1, readSource);
// INT - Breite eines Bildes (Pixel)
fread(/*pufferHier*/, /*sizeOf(int)*/, 1, readSource);
// INT - Höhe eines Bildes (Pixel)
fread(/*pufferHier*/, /*sizeOf(int)*/, 1, readSource);
// Bis hier alles nur einmal durchführen
// AB HIER Schleife implementieren die für
// anzahl der Bytes Byte einließt
// bufferspeicher anlegen der unsigned char pointer
// mit anzahl der pixel als größe ist um dann
// grauwerte in diesen buffer zu schreiben
// (grayscale pixeltype in grayscale image series)
// BYTES - Je mit GraustufenInfo von 0-255
// bytezahl = breite_Pixel * höhe_Pixel
fread(/*pufferHier*/, sizeOfByteInBytes, numberOfBytesToRead, readSource);
// INT - Label welche Zahl dargestellt ist (0-9)
// AB HIER Schleifenende
// folgendes nur einmal ausführen
fread(/*pufferHier*/, /*sizeOf(unsigned char)*/, 1, readSource);
//fclose(readSource);
return series; return series;
} }
+1 -93
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@@ -6,122 +6,30 @@
Matrix createMatrix(unsigned int rows, unsigned int cols) Matrix createMatrix(unsigned int rows, unsigned int cols)
{ {
Matrix matrix;
matrix.rows = rows;
matrix.cols = cols;
matrix.buffer = malloc(rows * cols * sizeof(float));
if(matrix.buffer == NULL)
{
printf("Fehler bei der Speicherreservierung! Keine Matrix erstellt!");
matrix.rows = 0;
matrix.cols = 0;
}
return matrix;
} }
void clearMatrix(Matrix *matrix) void clearMatrix(Matrix *matrix)
{ {
free(matrix.buffer);
matrix->buffer = NULL;
matrix->rows = 0;
matrix->cols = 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)
{ {
if(matrix->buffer == NULL)
{
printf("Fehler beim Setzen! Matrix nicht initialisiert");
return;
}
if(rowIdx >= matrix->rows || colIdx >= matrix->cols)
{
printf("Ungueltige Indizes beim Setzen!\n");
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)
{ {
if(matrix.buffer == NULL)
{
printf("Fehler beim Lesen! Matrix nicht initialisiert");
return 0;
}
if(rowIdx >= matrix.rows || colIdx >= matrix.cols)
{
printf("Ungueltige Indizes beim Lesen!\n");
return 0;
}
return matrix.buffer[rowIdx * matrix.cols + colIdx];
} }
Matrix add(const Matrix matrix1, const Matrix matrix2) Matrix add(const Matrix matrix1, const Matrix matrix2)
{ {
if((matrix1.rows != matrix2.rows) || (matrix1.cols != matrix2.cols))
{
printf("Fehler bei Addition: Matrix Dimensionen passen nicht ueberein!\n");
Matrix empty = {0, 0, NULL};
return empty;
}
float matrix1Wert = 0;
float matrix2Wert = 0;
float summe = 0;
Matrix ergebnisMatrix = createMatrix(matrix1.rows, matrix1.cols);
for(int row = 0; row < ergebnisMatrix.rows; row++)
{
for(int col = 0; col < ergebnisMatrix.cols; col++)
{
matrix1Wert = getMatrixAt(matrix1, row, col);
matrix2Wert = getMatrixAt(matrix2, row, col);
summe = matrix1Wert + matrix2Wert;
setMatrixAt(summe, &ergebnisMatrix, row, col);
}
}
return ergebnisMatrix;
} }
Matrix multiply(const Matrix matrix1, const Matrix matrix2) Matrix multiply(const Matrix matrix1, const Matrix matrix2)
{ {
if(matrix1.cols != matrix2.rows)
{
printf("Fehler bei Multiplikation: Matrix Dimensionen passen nicht ueberein!\n");
Matrix empty = {0, 0, NULL};
return empty;
}
float erg = 0;
Matrix ergebnisMatrix = createMatrix(matrix1.rows, matrix2.cols);
for(int row = 0; row < ergebnisMatrix.rows; row++)
{
for(int col = 0; col < ergebnisMatrix.cols; col++)
{
erg = 0;
for(int k = 0; k < matrix1.cols; k++)
{
erg += getMatrixAt(matrix1, row, k) * getMatrixAt(matrix2, k, col);
}
setMatrixAt(erg, &ergebnisMatrix, row, col);
}
}
return ergebnisMatrix;
} }
+1 -6
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@@ -6,12 +6,7 @@
typedef float MatrixType; typedef float MatrixType;
// TODO Matrixtyp definieren // TODO Matrixtyp definieren
typedef struct
{
int rows;
int cols;
float *buffer;
} 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);
+1 -28
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@@ -71,32 +71,6 @@ void test_addFailsOnDifferentInputDimensions(void)
TEST_ASSERT_EQUAL_UINT32(0, result.cols); TEST_ASSERT_EQUAL_UINT32(0, result.cols);
} }
void test_addSupportsBroadcasting(void)
{
MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
MatrixType buffer2[] = {7, 8};
Matrix matrix1 = {.rows=2, .cols=3, .buffer=buffer1};
Matrix matrix2 = {.rows=2, .cols=1, .buffer=buffer2};
Matrix result1 = add(matrix1, matrix2);
Matrix result2 = add(matrix2, matrix1);
float expectedResults[] = {8, 9, 10, 12, 13, 14};
TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result1.rows);
TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result1.cols);
TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result2.rows);
TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result2.cols);
TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result1.rows * result1.cols);
TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result1.buffer, result1.cols * result1.rows);
TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result2.rows * result2.cols);
TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result2.buffer, result2.cols * result2.rows);
free(result1.buffer);
free(result2.buffer);
}
void test_multiplyReturnsCorrectResults(void) void test_multiplyReturnsCorrectResults(void)
{ {
MatrixType buffer1[] = {1, 2, 3, 4, 5, 6}; MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
@@ -164,7 +138,7 @@ void test_setMatrixAtFailsOnIndicesOutOfRange(void)
Matrix matrixToTest = {.rows=2, .cols=3, .buffer=buffer}; Matrix matrixToTest = {.rows=2, .cols=3, .buffer=buffer};
setMatrixAt(-1, matrixToTest, 2, 3); setMatrixAt(-1, matrixToTest, 2, 3);
TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, sizeof(buffer)/sizeof(MatrixType)); TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, matrixToTest.cols * matrixToTest.rows);
} }
void setUp(void) { void setUp(void) {
@@ -185,7 +159,6 @@ int main()
RUN_TEST(test_clearMatrixSetsMembersToNull); RUN_TEST(test_clearMatrixSetsMembersToNull);
RUN_TEST(test_addReturnsCorrectResult); RUN_TEST(test_addReturnsCorrectResult);
RUN_TEST(test_addFailsOnDifferentInputDimensions); RUN_TEST(test_addFailsOnDifferentInputDimensions);
RUN_TEST(test_addSupportsBroadcasting);
RUN_TEST(test_multiplyReturnsCorrectResults); RUN_TEST(test_multiplyReturnsCorrectResults);
RUN_TEST(test_multiplyFailsOnWrongInputDimensions); RUN_TEST(test_multiplyFailsOnWrongInputDimensions);
RUN_TEST(test_getMatrixAtReturnsCorrectResult); RUN_TEST(test_getMatrixAtReturnsCorrectResult);
-35
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@@ -5,45 +5,10 @@
#include "unity.h" #include "unity.h"
#include "neuralNetwork.h" #include "neuralNetwork.h"
#define FILE_HEADER_STRING "__info2_neural_network_file_format__"
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn) static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
{ {
// TODO // TODO
FILE *f = fopen(path, "wb");
if (!f) return;
fwrite(FILE_HEADER_STRING, sizeof(char), strlen(FILE_HEADER_STRING), f);
int inputDim = nn.layers[0].weights.cols;
int outputDim = nn.layers[0].weights.rows;
fwrite(&inputDim, sizeof(int), 1, f);
fwrite(&outputDim, sizeof(int), 1, f);
for (int i = 0; i < nn.numberOfLayers; i++)
{
Matrix weights = nn.layers[i].weights;
Matrix biases = nn.layers[i].biases;
int numWeightValues = weights.rows * weights.cols;
int numBiasValues = biases.rows * biases.cols;
fwrite(weights.buffer, sizeof(MatrixType), numWeightValues, f);
fwrite(biases.buffer, sizeof(MatrixType), numBiasValues, f);
if (i < nn.numberOfLayers - 1)
{
int nextOutputDim = nn.layers[i + 1].weights.rows;
fwrite(&nextOutputDim, sizeof(int), 1, f);
}
}
int endMarker = 0;
fwrite(&endMarker, sizeof(int), 1, f);
fclose(f);
} }
void test_loadModelReturnsCorrectNumberOfLayers(void) void test_loadModelReturnsCorrectNumberOfLayers(void)