mirror of
https://github.com/augustin64/projet-tipe
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75 lines
2.1 KiB
C
75 lines
2.1 KiB
C
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#include <stdlib.h>
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#include <stdio.h>
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#include <stdbool.h>
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#include "../mnist/include/mnist.h"
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#include "include/neuron_io.h"
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#include "include/struct.h"
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#include "include/jpeg.h"
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#include "include/free.h"
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#include "include/cnn.h"
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void test_network(int dataset_type, char* modele, char* images_file, char* labels_file, char* data_dir, bool preview_fails) {
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}
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void recognize_mnist(Network* network, char* input_file) {
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int width, height; // Dimensions de l'image
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int nb_elem; // Nombre d'éléments
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int maxi; // Catégorie reconnue
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// Load image
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int* mnist_parameters = read_mnist_images_parameters(input_file);
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int*** images = read_mnist_images(input_file);
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nb_elem = mnist_parameters[0];
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width = mnist_parameters[1];
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height = mnist_parameters[2];
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free(mnist_parameters);
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printf("Image\tCatégorie détectée\n");
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// Load image in the first layer of the Network
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for (int i=0; i < nb_elem; i++) {
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write_image_in_network_32(images[i], height, width, network->input[0][0]);
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forward_propagation(network);
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maxi = indice_max(network->input[network->size-1][0][0], 10);
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printf("%d\t%d\n", i, maxi);
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for (int j=0; j < height; j++) {
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free(images[i][j]);
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}
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free(images[i]);
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}
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free(images);
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}
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void recognize_jpg(Network* network, char* input_file) {
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int width, height; // Dimensions de l'image
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int maxi;
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imgRawImage* image = loadJpegImageFile(input_file);
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width = image->width;
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height = image->height;
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write_image_in_network_260(image->lpData, height, width, network->input[0]);
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forward_propagation(network);
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maxi = indice_max(network->input[network->size-1][0][0], 50);
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printf("Catégorie reconnue: %d\n", maxi);
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free(image->lpData);
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free(image);
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}
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void recognize(int dataset_type, char* modele, char* input_file) {
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Network* network = read_network(modele);
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if (dataset_type == 0) {
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recognize_mnist(network, input_file);
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} else {
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recognize_jpg(network, input_file);
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}
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free_network(network);
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}
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