Update README.md to with fonts/ folder information

README.md

@@ -19,8 +19,9 @@ Usage is as follows:
    This step may take a while as it will extract 108,634 images.
 
 2. `./gen.py 1000`: Generate 1000 test set images in `test/`. (`test/` must not
-    already exist.) This step requires `UKNumberPlate.ttf` to be in the current
-    directory, which can be [downloaded here](http://www.dafont.com/uk-number-plate.font).
+    already exist.) This step requires `UKNumberPlate.ttf` to be in the
+    `fonts/` directory, which can be
+    [downloaded here](http://www.dafont.com/uk-number-plate.font).
 
 3. `./train.py`: Train the model. A GPU is recommended for this step. It will
    take around 100,000 batches to converge. When you're satisfied that the
@@ -35,3 +36,8 @@ The project has the following dependencies:
 * OpenCV
 * NumPy
 
+Different typefaces can be put in `fonts/` in order to match different type
+faces.  With a large enough variety the network will learn to generalize and
+will match as yet unseen typefaces. See
+[#1](https://github.com/matthewearl/deep-anpr/issues/1) for more information.
+