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augustin64 2022-05-20 19:40:12 +02:00
parent 62b14f8b07
commit 45c39d8880
1 changed files with 17 additions and 3 deletions
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20
src/mnist/main.c
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@ -64,6 +64,8 @@ void help(char* call) {
printf("\t\t--labels | -l [FILENAME]\tFichier contenant les labels.\n");
printf("\t\t--out | -o [FILENAME]\tFichier où écrire le réseau de neurones.\n");
printf("\t\t--delta | -d [FILENAME]\tFichier où écrire le réseau différentiel.\n");
printf("\t\t--nb-images | -N [int]\tNombres d'images à traiter.\n");
printf("\t\t--start | -s [int]\tPremière image à traiter.\n");
printf("\trecognize:\n");
printf("\t\t--modele | -m [FILENAME]\tFichier contenant le réseau de neurones.\n");
printf("\t\t--in | -i [FILENAME]\tFichier contenant les images à reconnaître.\n");
@ -120,7 +122,7 @@ void* train_images(void* parameters) {
}
void train(int epochs, int layers, int neurons, char* recovery, char* image_file, char* label_file, char* out, char* delta) {
void train(int epochs, int layers, int neurons, char* recovery, char* image_file, char* label_file, char* out, char* delta, int nb_images_to_process, int start) {
// Entraînement du réseau sur le set de données MNIST
Network* network;
Network* delta_network;
@ -172,6 +174,10 @@ void train(int epochs, int layers, int neurons, char* recovery, char* image_file
int*** images = read_mnist_images(image_file);
unsigned int* labels = read_mnist_labels(label_file);
if (nb_images_to_process != -1) {
nb_images_total = nb_images_to_process;
}
TrainParameters** train_parameters = (TrainParameters**)malloc(sizeof(TrainParameters*)*nb_threads);
for (int i=0; i < epochs; i++) {
accuracy = 0.;
@ -184,7 +190,7 @@ void train(int epochs, int layers, int neurons, char* recovery, char* image_file
train_parameters[j]->images = (int***)images;
train_parameters[j]->labels = (int*)labels;
train_parameters[j]->nb_images = BATCHES / nb_threads;
train_parameters[j]->start = nb_images_total - BATCHES*(nb_images_total / BATCHES - k -1) - nb_remaining_images;
train_parameters[j]->start = nb_images_total - BATCHES*(nb_images_total / BATCHES - k -1) - nb_remaining_images + start;
train_parameters[j]->height = height;
train_parameters[j]->width = width;
@ -327,6 +333,8 @@ int main(int argc, char* argv[]) {
int epochs = EPOCHS;
int layers = 2;
int neurons = 784;
int nb_images = -1;
int start = 0;
char* images = NULL;
char* labels = NULL;
char* recovery = NULL;
@ -360,6 +368,12 @@ int main(int argc, char* argv[]) {
} else if ((! strcmp(argv[i], "--delta"))||(! strcmp(argv[i], "-d"))) {
delta = argv[i+1];
i += 2;
} else if ((! strcmp(argv[i], "--nb-images"))||(! strcmp(argv[i], "-N"))) {
nb_images = strtol(argv[i+1], NULL, 10);
i += 2;
} else if ((! strcmp(argv[i], "--start"))||(! strcmp(argv[i], "-s"))) {
start = strtol(argv[i+1], NULL, 10);
i += 2;
} else {
printf("%s : Argument non reconnu\n", argv[i]);
i++;
@ -378,7 +392,7 @@ int main(int argc, char* argv[]) {
out = "out.bin";
}
// Entraînement en sourçant neural_network.c
train(epochs, layers, neurons, recovery, images, labels, out, delta);
train(epochs, layers, neurons, recovery, images, labels, out, delta, nb_images, start);
exit(0);
}
if (! strcmp(argv[1], "recognize")) {