fix: fixed retrain seg fault

src/network_main.c

@@ -116,19 +116,19 @@ int main(int argc, char *argv[])
 
         network_train(&network, data_dir, network_path, batch_pourcent, iterations, warmup, warmup_iterations, learning_rate, AdaFactor);
     }
-    else if (strcmp(action, "retrain") == 0) // retrain network: ./network <network.csv> <data directory> <batch pourcent> <iterations>
+    else if (strcmp(action, "retrain") == 0) // retrain network: ./network retrain <network.csv> <data directory> <batch pourcent> <iterations>
     {
         if (argc < 4)
-            errx(EXIT_FAILURE, "missing arguments, usage: ./network <network.csv> <data directory> <batch pourcent> <iterations> [learning_rate]");
+            errx(EXIT_FAILURE, "missing arguments, usage: ./network retrain <network.csv> <data directory> <batch pourcent> <iterations> [learning_rate]");
 
-        double batch_pourcent = atof(argv[3]);
-        size_t iterations = (size_t)atoi(argv[4]);
+        double batch_pourcent = atof(argv[4]);
+        size_t iterations = (size_t)atoi(argv[5]);
 
         double learning_rate = 0.1;
-        if (argc > 4)
-            learning_rate = atof(argv[5]);
+        if (argc > 5)
+            learning_rate = atof(argv[6]);
 
-        network_retrain(argv[1], argv[2], batch_pourcent, iterations, learning_rate);
+        network_retrain(combine_path(network_application_directory, argv[2]), combine_path(network_application_directory, argv[3]), batch_pourcent, iterations, learning_rate);
     }
     else if (strcmp(action, "use") == 0) // use network: ./network use <network.csv> <image path>
     {

src/utils/AI/neural_utils.c

@@ -388,6 +388,9 @@ char* read_file(const char* file)
 {
     FILE * stream = fopen( file, "r" );
 
+    if (stream == NULL)
+        errx(EXIT_FAILURE, "read_file cannot open file: %s", file);
+
     size_t str_len = 0;
 
     char* buff = calloc(1, sizeof(char));