generated from freudenreichan/info2Praktikum-NeuronalesNetz
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3
Commits
| Author | SHA1 | Date | |
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926c5c583d | ||
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1dd5d458e6 | ||
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fb8672e5a1 |
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@@ -8,6 +8,27 @@
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// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
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int checkString (FILE *file){ //Checks if String at the start of File equals expected Format (0 for wrong 1 for right)
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if (file == NULL){ //returns 0 for empty file
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return 0;
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}
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char expectedString[] = FILE_HEADER_STRING;
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char actualString[BUFFER_SIZE];
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rewind(file);
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size_t bytesRead = fread(actualString, 1,27 , file); //Stores Bytes of start of File to actualString
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if (bytesRead != 27){
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return 0;} //Returns 0 if File is to short
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actualString[27] = '\0';
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if (strcmp(actualString, expectedString) != 0){
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return 0;
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}
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else{
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return 1;
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}
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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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@@ -23,8 +23,8 @@ Matrix createMatrix(unsigned int rows, unsigned int cols)
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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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@@ -55,8 +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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clearMatrix(MatrixErgebnis);
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MatrixErgebnis = NULL;
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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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