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Load image from a separate thread

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augustin64 2023-04-02 17:34:31 +02:00
parent 710306a286
commit 3198e6f2d0
2 changed files with 47 additions and 1 deletions
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13
src/cnn/include/train.h
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@ -25,11 +25,24 @@ typedef struct TrainParameters {
float loss; // Loss (à renvoyer)
} TrainParameters;
/*
* Structure donnée en argument à la fonction 'load_image'
*/
typedef struct LoadImageParameters {
jpegDataset* dataset; // Dataset si de type JPEG
int index; // Numéro de l'image à charger
} LoadImageParameters;
/*
* Partie entière supérieure de a/b
*/
int div_up(int a, int b);
/*
* Fonction auxiliaire pour charger (ouvrir et décompresser) les images de manière asynchrone
* économise environ 20ms par image pour des images de taille 256*256*3
*/
void* load_image(void* parameters);
/*
* Fonction auxiliaire d'entraînement destinée à être exécutée sur plusieurs threads à la fois

33
src/cnn/train.c
View File

@ -28,6 +28,19 @@ int div_up(int a, int b) { // Partie entière supérieure de a/b
return ((a % b) != 0) ? (a / b + 1) : (a / b);
}
void* load_image(void* parameters) {
LoadImageParameters* param = (LoadImageParameters*)parameters;
if (!param->dataset->images[param->index]) {
imgRawImage* image = loadJpegImageFile(param->dataset->fileNames[param->index]);
param->dataset->images[param->index] = image->lpData;
free(image);
} else {
printf_warning((char*)"Image déjà chargée\n"); // Pas possible techniquement, donc on met un warning
}
return NULL;
}
void* train_thread(void* parameters) {
TrainParameters* param = (TrainParameters*)parameters;
@ -49,6 +62,16 @@ void* train_thread(void* parameters) {
float accuracy = 0.;
float loss = 0.;
pthread_t tid;
LoadImageParameters* load_image_param;
if (dataset_type != 0) {
load_image_param = (LoadImageParameters*)malloc(sizeof(LoadImageParameters));
load_image_param->dataset = param->dataset;
load_image_param->index = index[start];
pthread_create(&tid, NULL, load_image, (void*) load_image_param);
}
for (int i=start; i < start+nb_images; i++) {
if (dataset_type == 0) {
write_image_in_network_32(images[index[i]], height, width, network->input[0][0], true);
@ -70,11 +93,17 @@ void* train_thread(void* parameters) {
accuracy += 1.;
}
} else {
pthread_join(tid, NULL);
if (!param->dataset->images[index[i]]) {
image = loadJpegImageFile(param->dataset->fileNames[index[i]]);
param->dataset->images[index[i]] = image->lpData;
free(image);
}
if (i != start+nb_images-1) {
load_image_param->index = index[i+1];
pthread_create(&tid, NULL, load_image, (void*) load_image_param);
}
write_image_in_network_260(param->dataset->images[index[i]], height, width, network->input[0]);
forward_propagation(network);
maxi = indice_max(network->input[network->size-1][0][0], param->dataset->numCategories);
@ -89,6 +118,10 @@ void* train_thread(void* parameters) {
}
}
if (dataset_type != 0) {
free(load_image_param);
}
param->accuracy = accuracy;
param->loss = loss;
return NULL;