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Author SHA1 Message Date
Bastian 97bf884e59 Angefangen bildanzahl und groese aus binaerdatei zu lesen 2025-11-12 21:02:20 +01:00
38 changed files with 81 additions and 115 deletions
+2 -59
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@@ -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
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-22
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@@ -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)
{
}
+69
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@@ -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)
{
}
+1 -1
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@@ -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);
+5 -2
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@@ -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;
*/
}
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+1 -28
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@@ -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);