Improve instructions to train custom models so a new file is output and existing one is not loaded. Use --model parameter!

Author: alexjc

README.rst

@@ -58,16 +58,19 @@ Pre-trained models are provided in the GitHub releases.  Training your own is a
     rm -f ne4x*.pkl.bz2
 
     # Pre-train the model using perceptual loss from paper [1] below.
-    python3.4 enhance.py --train "data/*.jpg" --scales=2 --epochs=50 \
+    python3.4 enhance.py --train "data/*.jpg" --model custom --scales=2 --epochs=50 \
         --perceptual-layer=conv2_2 --smoothness-weight=1e7 --adversary-weight=0.0 \
         --generator-blocks=4 --generator-filters=64
     
     # Train the model using an adversarial setup based on [4] below.
-    python3.4 enhance.py --train "data/*.jpg" --scales=2 --epochs=250 \
+    python3.4 enhance.py --train "data/*.jpg" --model custom --scales=2 --epochs=250 \
              --perceptual-layer=conv5_2 --smoothness-weight=2e4 --adversary-weight=2e5 \
              --generator-start=5 --discriminator-start=0 --adversarial-start=5 \
              --discriminator-size=64
 
+    # The newly trained model is output into this file...
+    ls ne4x-custom-*.pkl.bz2
+
 
 .. image:: docs/BankLobby_example.gif