generated from freudenreichan/info2Praktikum-NeuronalesNetz
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@@ -30,7 +30,7 @@
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#define FILE_HEADER_STRING "__info2_image_file_format__"
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// ---------------------------------------------------------
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// Hilfsfunktionen (static, nur in diesem Modul sichtbar)
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// Hilfsfunktionen
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// ---------------------------------------------------------
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/**
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@@ -47,7 +47,7 @@ static int checkFileHeader(FILE *file) {
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return 0; // Lesefehler oder Datei zu kurz
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}
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// Null-Terminierung sicherstellen für strcmp (obwohl wir auch memcmp nutzen könnten)
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// Null-Terminierung sicherstellen für strcmp
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buffer[headerLen] = '\0';
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if (strcmp(buffer, expectedHeader) != 0) {
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@@ -73,7 +73,7 @@ static GrayScaleImageSeries *allocateSeries(unsigned short count) {
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series->labels = (unsigned char *)calloc(count, sizeof(unsigned char));
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if (series->images == NULL || series->labels == NULL) {
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// Falls eine Allokation fehlschlägt, alles bisherige freigeben
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// Falls eine Allokation fehlschlägt, alles Bisherigen freigeben
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free(series->images);
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free(series->labels);
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free(series);
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@@ -114,6 +114,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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return createMatrix(0, 0);
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}
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for(unsigned int i = 0; i < resRows; ++i)
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{
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for(unsigned int j = 0; j < resCols; ++j)
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@@ -124,6 +125,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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unsigned int i2 = (matrix2.rows == 1) ? 0 : i;
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unsigned int j2 = (matrix2.cols == 1) ? 0 : j;
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MatrixType val = getMatrixAt(matrix1, i1, j1) + getMatrixAt(matrix2, i2, j2);
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setMatrixAt(val, &result, i, j);
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}
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