Compare commits
3
Commits
main
..
8c98197327
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
8c98197327 | ||
|
|
8368439db1 | ||
|
|
97bf884e59 |
+2
-59
@@ -1,61 +1,4 @@
|
||||
# ---> C
|
||||
# Prerequisites
|
||||
*.d
|
||||
|
||||
# Object files
|
||||
mnist
|
||||
runTests
|
||||
*.o
|
||||
*.ko
|
||||
*.obj
|
||||
*.elf
|
||||
|
||||
# Linker output
|
||||
*.ilk
|
||||
*.map
|
||||
*.exp
|
||||
|
||||
# Precompiled Headers
|
||||
*.gch
|
||||
*.pch
|
||||
|
||||
# Libraries
|
||||
*.lib
|
||||
*.la
|
||||
*.lo
|
||||
|
||||
# Shared objects (inc. Windows DLLs)
|
||||
*.dll
|
||||
*.so
|
||||
*.so.*
|
||||
*.dylib
|
||||
|
||||
# Executables
|
||||
*.exe
|
||||
*.out
|
||||
*.app
|
||||
*.i*86
|
||||
*.x86_64
|
||||
*.hex
|
||||
Startcode/mnist
|
||||
Startcode/runTests
|
||||
|
||||
# Debug files
|
||||
*.dSYM/
|
||||
*.su
|
||||
*.idb
|
||||
*.pdb
|
||||
|
||||
# Kernel Module Compile Results
|
||||
*.mod*
|
||||
*.cmd
|
||||
.tmp_versions/
|
||||
modules.order
|
||||
Module.symvers
|
||||
Mkfile.old
|
||||
dkms.conf
|
||||
|
||||
# IDE folders
|
||||
.vscode/
|
||||
.idea/
|
||||
|
||||
# macOS
|
||||
.DS_Store
|
||||
|
||||
Binary file not shown.
@@ -1,22 +0,0 @@
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include "imageInput.h"
|
||||
|
||||
#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
|
||||
|
||||
// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
|
||||
GrayScaleImageSeries *readImages(const char *path)
|
||||
{
|
||||
GrayScaleImageSeries *series = NULL;
|
||||
|
||||
return series;
|
||||
}
|
||||
|
||||
// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
|
||||
void clearSeries(GrayScaleImageSeries *series)
|
||||
{
|
||||
}
|
||||
@@ -1,35 +0,0 @@
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include "matrix.h"
|
||||
|
||||
// TODO Matrix-Funktionen implementieren
|
||||
|
||||
Matrix createMatrix(unsigned int rows, unsigned int cols)
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
void clearMatrix(Matrix *matrix)
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
Matrix add(const Matrix matrix1, const Matrix matrix2)
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
|
||||
{
|
||||
|
||||
}
|
||||
@@ -0,0 +1,69 @@
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include "imageInput.h"
|
||||
|
||||
#define BUFFER_SIZE 100
|
||||
#define FILE_HEADER_STRING "__info2_image_file_format__"
|
||||
#define FILE_HEADER_SIZE (sizeof(FILE_HEADER_STRING)-1)
|
||||
|
||||
|
||||
// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
|
||||
FILE *checkFile(const char *path)
|
||||
{
|
||||
FILE *datei = fopen(path,"rb");
|
||||
if (datei == NULL)
|
||||
{
|
||||
perror("Datei konnte nicht geoeffnet werden");
|
||||
return NULL;
|
||||
}
|
||||
char buffer[FILE_HEADER_SIZE+1];
|
||||
if (fread(buffer,1,FILE_HEADER_SIZE,datei)!=FILE_HEADER_SIZE)
|
||||
{
|
||||
perror("Header konnte nicht eingelessen werden");
|
||||
fclose(datei);
|
||||
return NULL;
|
||||
}
|
||||
buffer[FILE_HEADER_SIZE] = '\0';
|
||||
if (strcmp(buffer,FILE_HEADER_STRING)!=0)
|
||||
{
|
||||
printf("Falscher Dateikopf");
|
||||
//printf("\n%s",buffer);
|
||||
//printf("\n%s",FILE_HEADER_STRING);
|
||||
//printf("\n%d",strcmp(buffer,FILE_HEADER_STRING));
|
||||
fclose(datei);
|
||||
return NULL;
|
||||
}
|
||||
return datei;
|
||||
}
|
||||
|
||||
// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
|
||||
GrayScaleImageSeries *readImages(const char *path)
|
||||
{
|
||||
FILE *datei = checkFile(path);
|
||||
if (datei==NULL)
|
||||
{
|
||||
return NULL;
|
||||
}
|
||||
unsigned short image_count, width, height;
|
||||
fread(&image_count,1,sizeof(unsigned short),datei);
|
||||
fread(&width,1,sizeof(unsigned short),datei);
|
||||
fread(&height,1,sizeof(unsigned short),datei);
|
||||
//printf("%u Bilder und %u mal %u",image_count,width,height);
|
||||
|
||||
fclose(datei);
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
GrayScaleImageSeries *series = NULL;
|
||||
|
||||
return series;
|
||||
}
|
||||
|
||||
// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
|
||||
void clearSeries(GrayScaleImageSeries *series)
|
||||
{
|
||||
}
|
||||
@@ -19,5 +19,5 @@ typedef struct
|
||||
|
||||
GrayScaleImageSeries *readImages(const char *path);
|
||||
void clearSeries(GrayScaleImageSeries *series);
|
||||
|
||||
FILE *checkFile(const char *path);
|
||||
#endif
|
||||
@@ -54,7 +54,7 @@ void test_readImagesReturnsCorrectImageWidth(void)
|
||||
GrayScaleImageSeries *series = NULL;
|
||||
const unsigned short expectedWidth = 10;
|
||||
const char *path = "testFile.info2";
|
||||
prepareImageFile(path, expectedWidth, 8, 2, 1);
|
||||
prepareImageFile(path, 8, expectedWidth, 2, 1);
|
||||
series = readImages(path);
|
||||
TEST_ASSERT_NOT_NULL(series);
|
||||
TEST_ASSERT_NOT_NULL(series->images);
|
||||
@@ -70,7 +70,7 @@ void test_readImagesReturnsCorrectImageHeight(void)
|
||||
GrayScaleImageSeries *series = NULL;
|
||||
const unsigned short expectedHeight = 10;
|
||||
const char *path = "testFile.info2";
|
||||
prepareImageFile(path, 8, expectedHeight, 2, 1);
|
||||
prepareImageFile(path, expectedHeight, 8, 2, 1);
|
||||
series = readImages(path);
|
||||
TEST_ASSERT_NOT_NULL(series);
|
||||
TEST_ASSERT_NOT_NULL(series->images);
|
||||
@@ -1,11 +1,13 @@
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include "imageInput.h"
|
||||
#include "mnistVisualization.h"
|
||||
#include "neuralNetwork.h"
|
||||
//#include "mnistVisualization.h"
|
||||
//#include "neuralNetwork.h"
|
||||
|
||||
int main(int argc, char *argv[])
|
||||
{
|
||||
readImages("mnist_test.info2");
|
||||
/*
|
||||
const unsigned int windowWidth = 800;
|
||||
const unsigned int windowHeight = 600;
|
||||
|
||||
@@ -65,4 +67,5 @@ int main(int argc, char *argv[])
|
||||
}
|
||||
|
||||
return exitCode;
|
||||
*/
|
||||
}
|
||||
@@ -0,0 +1,72 @@
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include "matrix.h"
|
||||
|
||||
// TODO Matrix-Funktionen implementieren
|
||||
|
||||
Matrix createMatrix(unsigned int rows, unsigned int cols)
|
||||
{
|
||||
// Allocate memory for the matrix structure
|
||||
Matrix matrix;
|
||||
matrix.rows = rows;
|
||||
matrix.cols = cols;
|
||||
matrix.data = (MatrixType *)malloc(rows * cols * sizeof(MatrixType));
|
||||
if (matrix.data == NULL)
|
||||
{
|
||||
// Handle memory allocation failure
|
||||
matrix.rows = 0;
|
||||
matrix.cols = 0;
|
||||
}
|
||||
}
|
||||
|
||||
void clearMatrix(Matrix *matrix)
|
||||
{
|
||||
// Free the allocated memory for the matrix data
|
||||
if (matrix->data != NULL)
|
||||
{
|
||||
free(matrix->data);
|
||||
matrix->data = NULL;
|
||||
matrix->rows = 0;
|
||||
matrix->cols = 0;
|
||||
}
|
||||
}
|
||||
|
||||
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
||||
{
|
||||
// Set the value at the specified row and column index
|
||||
if (rowIdx < matrix.rows && colIdx < matrix.cols)
|
||||
{
|
||||
matrix.data[rowIdx * matrix.cols + colIdx] = value;
|
||||
}
|
||||
}
|
||||
|
||||
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
||||
{
|
||||
// Get the value at the specified row and column index
|
||||
if (rowIdx < matrix.rows && colIdx < matrix.cols)
|
||||
{
|
||||
return matrix.data[rowIdx * matrix.cols + colIdx];
|
||||
}
|
||||
}
|
||||
|
||||
Matrix add(const Matrix matrix1, const Matrix matrix2)
|
||||
{
|
||||
// Add two matrices and return the result
|
||||
if (matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols)
|
||||
{
|
||||
// Handle dimension mismatch
|
||||
Matrix emptyMatrix = createMatrix(0, 0);
|
||||
return emptyMatrix;
|
||||
}
|
||||
}
|
||||
|
||||
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
|
||||
{
|
||||
// Multiply two matrices and return the result
|
||||
if (matrix1.cols != matrix2.rows)
|
||||
{
|
||||
// Handle dimension mismatch
|
||||
Matrix emptyMatrix = createMatrix(0, 0);
|
||||
return emptyMatrix;
|
||||
}
|
||||
}
|
||||
@@ -6,6 +6,12 @@
|
||||
typedef float MatrixType;
|
||||
|
||||
// TODO Matrixtyp definieren
|
||||
typedef struct
|
||||
{
|
||||
unsigned int rows;
|
||||
unsigned int cols;
|
||||
MatrixType *data;
|
||||
} Matrix;
|
||||
|
||||
|
||||
Matrix createMatrix(unsigned int rows, unsigned int cols);
|
||||
@@ -71,32 +71,6 @@ void test_addFailsOnDifferentInputDimensions(void)
|
||||
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)
|
||||
{
|
||||
MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
|
||||
@@ -164,7 +138,7 @@ void test_setMatrixAtFailsOnIndicesOutOfRange(void)
|
||||
Matrix matrixToTest = {.rows=2, .cols=3, .buffer=buffer};
|
||||
|
||||
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) {
|
||||
@@ -185,7 +159,6 @@ int main()
|
||||
RUN_TEST(test_clearMatrixSetsMembersToNull);
|
||||
RUN_TEST(test_addReturnsCorrectResult);
|
||||
RUN_TEST(test_addFailsOnDifferentInputDimensions);
|
||||
RUN_TEST(test_addSupportsBroadcasting);
|
||||
RUN_TEST(test_multiplyReturnsCorrectResults);
|
||||
RUN_TEST(test_multiplyFailsOnWrongInputDimensions);
|
||||
RUN_TEST(test_getMatrixAtReturnsCorrectResult);
|
||||
Reference in New Issue
Block a user