Changed network filename to something more descriptive.

examples/dnn_semantic_segmentation_ex.cpp

@@ -16,7 +16,7 @@
        ./dnn_semantic_segmentation_ex /path/to/VOC2012-or-other-images
 
     An alternative to steps 2-4 above is to download a pre-trained network
-    from here: http://dlib.net/files/voc2012net.dnn
+    from here: http://dlib.net/files/semantic_segmentation_voc2012net.dnn
 
     It would be a good idea to become familiar with dlib's DNN tooling before reading this
     example.  So you should read dnn_introduction_ex.cpp and dnn_introduction2_ex.cpp
@@ -111,16 +111,16 @@ int main(int argc, char** argv) try
         cout << "You call this program like this: " << endl;
         cout << "./dnn_semantic_segmentation_train_ex /path/to/images" << endl;
         cout << endl;
-        cout << "You will also need a trained 'voc2012net.dnn' file." << endl;
+        cout << "You will also need a trained 'semantic_segmentation_voc2012net.dnn' file." << endl;
         cout << "You can either train it yourself (see example program" << endl;
         cout << "dnn_semantic_segmentation_train_ex), or download a" << endl;
-        cout << "copy from here: http://dlib.net/files/voc2012net.dnn" << endl;
+        cout << "copy from here: http://dlib.net/files/semantic_segmentation_voc2012net.dnn" << endl;
         return 1;
     }
 
     // Read the file containing the trained network from the working directory.
     anet_type net;
-    deserialize("voc2012net.dnn") >> net;
+    deserialize("semantic_segmentation_voc2012net.dnn") >> net;
 
     // Show inference results in a window.
     image_window win;

examples/dnn_semantic_segmentation_ex.h

@@ -23,7 +23,7 @@
        ./dnn_semantic_segmentation_ex /path/to/VOC2012-or-other-images
 
     An alternative to steps 2-4 above is to download a pre-trained network
-    from here: http://dlib.net/files/voc2012net.dnn
+    from here: http://dlib.net/files/semantic_segmentation_voc2012net.dnn
 
     It would be a good idea to become familiar with dlib's DNN tooling before reading this
     example.  So you should read dnn_introduction_ex.cpp and dnn_introduction2_ex.cpp
@@ -187,4 +187,4 @@ using anet_type = dlib::loss_multiclass_log_per_pixel<
 
 // ----------------------------------------------------------------------------------------
 
-#endif // DLIB_DNn_SEMANTIC_SEGMENTATION_EX_H_
\ No newline at end of file
+#endif // DLIB_DNn_SEMANTIC_SEGMENTATION_EX_H_

examples/dnn_semantic_segmentation_train_ex.cpp

@@ -371,7 +371,7 @@ int main(int argc, char** argv) try
 
     net.clean();
     cout << "saving network" << endl;
-    serialize("voc2012net.dnn") << net;
+    serialize("semantic_segmentation_voc2012net.dnn") << net;
 
 
     // Make a copy of the network to use it for inference.