generated from freudenreichan/info2Praktikum-NeuronalesNetz
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7
Commits
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e544da140e | ||
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0aa42abd43 | ||
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0f28ee3f02 | ||
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bb96c8f78a | ||
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cfb3848fe2 | ||
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0a8349d722 | ||
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3df6e152d7 |
+13
-22
@@ -6,8 +6,6 @@
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#define BUFFER_SIZE 100
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#define FILE_HEADER_STRING "__info2_image_file_format__"
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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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@@ -30,9 +28,8 @@ int checkString (FILE *file){ //Checks if String at the start of File equals exp
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}
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}
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void setParameters(FILE* file, unsigned int* imageCount, unsigned int* width, unsigned int* height);
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int allocateMemory(GrayScaleImageSeries *series, const int imageCount, const int width, const int height);
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// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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static void setParameters(FILE* file, unsigned int* imageCount, unsigned int* width, unsigned int* height);
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static int allocateMemory(GrayScaleImageSeries *series, const int imageCount, const int width, const int height);
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GrayScaleImageSeries *readImages(const char *path)
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@@ -42,7 +39,7 @@ GrayScaleImageSeries *readImages(const char *path)
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fclose(file);
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return NULL;
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}
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// TODO open binary file from file name
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unsigned int width, height; //uninitialised Variables, will be set by setparamters
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@@ -63,12 +60,12 @@ GrayScaleImageSeries *readImages(const char *path)
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for(unsigned int j = 0; j < width * height; j++){ //Iterating for every pixel
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fread(&(series->images[i].buffer[j]), sizeof(GrayScalePixelType), 1, file);
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}
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fread(&(series->labels[i]), sizeof(unsigned char), 1, file); // TODO Added writing in labels array
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}
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fclose(file);
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return series;
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}
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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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if (!series)
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@@ -85,32 +82,26 @@ void clearSeries(GrayScaleImageSeries *series)
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free(series); //Freeing Main Structure
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}
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void setParameters(FILE* file, unsigned int* imageCount, unsigned int* width, unsigned int* height) { // sets the parameters
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static void setParameters(FILE* file, unsigned int* imageCount, unsigned int* width, unsigned int* height) { // sets the parameters
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char buffer[3];
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unsigned short buffer[3];
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fseek(file, 27, SEEK_SET);
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fread(buffer, 1, 3, file);
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if(fread(buffer, 1, 3, file) != 3){
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if(fread(buffer, sizeof(unsigned short), 3, file) != 3){ // TODO changed some stuff here, used UNSIGNED SHORT instead of UNSIGNED CHAR!!
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*imageCount = 0;
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*width = 0;
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*height = 0;
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return;
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} //Stops if file is too short and clean up
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*imageCount = (unsigned int) buffer[0];
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return;} //Stops if file is too short and clean up
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*width = (unsigned int) buffer[1];
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*imageCount = (int) buffer[0];
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*width = (int) buffer[1];
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*height = (int) buffer[2];
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// TODO allocate memory for labels array (in imageInput.h) -> Done in allocate Memory
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// TODO read from file and write in 2d arry, write label in labels array, repeat for imageCount -> done in readImages
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*height = (unsigned int) buffer[2];
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}
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int allocateMemory(GrayScaleImageSeries *series, const int imageCount, const int width, const int height) {
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static int allocateMemory(GrayScaleImageSeries *series, const int imageCount, const int width, const int height) {
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series->count = imageCount; //counts number of images in series
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series->images = malloc (sizeof(GrayScaleImage) * imageCount); //Reserving Memory for Images Array
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@@ -50,9 +50,7 @@ void test_readImagesReturnsCorrectNumberOfImages(void)
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TEST_ASSERT_EQUAL_UINT16(expectedNumberOfImages, series->count);
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clearSeries(series);
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printf("Test 1 BP5\n");
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remove(path);
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printf("Test 1 BP6\n");
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}
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void test_readImagesReturnsCorrectImageWidth(void)
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@@ -139,7 +137,6 @@ int main()
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printf("\n============================\nImage input tests\n============================\n");
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RUN_TEST(test_readImagesReturnsCorrectNumberOfImages);
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printf("BP Check1 complete");
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RUN_TEST(test_readImagesReturnsCorrectImageWidth);
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RUN_TEST(test_readImagesReturnsCorrectImageHeight);
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RUN_TEST(test_readImagesReturnsCorrectLabels);
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+1
-2
@@ -155,7 +155,6 @@ NeuralNetwork loadModel(const char *path)
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model.layers[model.numberOfLayers] = layer;
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model.numberOfLayers++;
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inputDimension = outputDimension;
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outputDimension = readDimension(file);
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}
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@@ -170,7 +169,7 @@ NeuralNetwork loadModel(const char *path)
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static Matrix imageBatchToMatrixOfImageVectors(const GrayScaleImage images[], unsigned int count)
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{
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Matrix matrix = {NULL, 0, 0};
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Matrix matrix = {0, 0, NULL}; // TODO changed this line to fit our functionality
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if(count > 0 && images != NULL)
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{
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@@ -9,6 +9,29 @@
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static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
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{
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// TODO
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FILE* file = fopen(path, "wb");
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if(file == NULL) {
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printf("Failed to open file");
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return;
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}
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printf("\nLayers in pNNF: %d\n", nn.numberOfLayers);
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const char* header = "__info2_neural_network_file_format__";
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fwrite(header, sizeof(const char), strlen(header), file);
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for (int i = 0; i < nn.numberOfLayers; i++) {
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fwrite(&(nn.layers[i].weights.cols), sizeof(unsigned int), 1, file);
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fwrite(&(nn.layers[i].weights.rows), sizeof(unsigned int), 1, file);
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}
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for(int i = 0; i < nn.numberOfLayers; i++) {
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//write everything to do with weights
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fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), nn.layers[i].weights.rows * nn.layers[i].weights.cols, file);
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//write everything to do with biases
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fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), nn.layers[i].biases.rows * nn.layers[i].biases.cols, file);
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}
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fclose(file);
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}
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void test_loadModelReturnsCorrectNumberOfLayers(void)
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@@ -25,6 +48,7 @@ void test_loadModelReturnsCorrectNumberOfLayers(void)
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Layer layers[] = {{.weights=weights1, .biases=biases1}, {.weights=weights2, .biases=biases2}};
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NeuralNetwork expectedNet = {.layers=layers, .numberOfLayers=2};
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printf("\nexpectedNetLayers: %d", expectedNet.numberOfLayers);
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NeuralNetwork netUnderTest;
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prepareNeuralNetworkFile(path, expectedNet);
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