generated from freudenreichan/info2Praktikum-NeuronalesNetz
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6124b38e8d |
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@@ -40,4 +40,11 @@ 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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for(size_t i = GrayScaleImageSeries.count - 1; i >= 0; i--)
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{
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free(GrayScaleImageSeries.images+GrayScaleImageSeries.count*sizeof(GrayScaleImage)*i);
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free(GrayScaleImageSeries.labels+GrayScaleImageSeries.count*sizeof(unsigned char)*i);
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}
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GrayScaleImageSeries.images = NULL;
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GrayScaleImageSeries.labels = NULL;
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}
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@@ -1,5 +1,6 @@
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#include <stdlib.h>
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#include <string.h>
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#include <stdio.h>
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#include "matrix.h"
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// TODO Matrix-Funktionen implementieren
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@@ -16,14 +17,14 @@ Matrix createMatrix(unsigned int rows, unsigned int cols)
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Matrix newMatrix;
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newMatrix.rows = rows;
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newMatrix.cols = cols;
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newMatrix.buffer = calloc(rows*cols, sizeof(MatrixType))
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newMatrix.buffer = calloc(rows*cols, sizeof(MatrixType));
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return newMatrix;
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}
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void clearMatrix(Matrix *matrix)
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{
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free(*matrix.buffer);
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*matrix.buffer = NULL;
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free(matrix->buffer);
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matrix->buffer = NULL;
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}
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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@@ -54,7 +55,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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Matrix MatrixErgebnis = createMatrix(matrix1.rows, matrix1.cols); //Creating Result Matrix
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if(matrix1.cols != matrix2.cols || matrix1.rows != matrix2.rows){
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printf("Matrix dimensions do not match\n"); //Error Message if dimensions of Input Matrixes are not identical
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MatrixErgebnis = clearMatrix(MatrixErgebnis);
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clearMatrix(&MatrixErgebnis);
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return MatrixErgebnis;
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}
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else{
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@@ -73,5 +74,26 @@ return MatrixErgebnis;
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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Matrix result;
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result.rows = matrix1.rows;
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result.cols = matrix2.cols;
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if (matrix1.rows == matrix2.cols) {
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result.buffer = malloc(result.rows * result.cols * sizeof(MatrixType));
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for(int i = 0; i < result.rows; i++) {
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for(int j = 0; j < result.cols; j++) {
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MatrixType value = 0;
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for(int k = 0; k < matrix1.cols; k++) {
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value += matrix1.buffer[i * matrix1.cols + k] * matrix2.buffer[k * matrix2.cols + j];
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}
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result.buffer[i * matrix1.cols + j] = value;
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}
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}
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return result;
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}
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printf("Die angegebenen Matrizen haben keine passenden Dimensionen für die Multiplikation");
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return result;
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}
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