Update.

diff --git a/README.md b/README.md
index c1ff0a2..b58970b 100644 (file)
--- a/README.md
+++ b/README.md
@@ -13,21 +13,22 @@ torch.ByteTensor generate_sequence(bool pulling,
                                    int nb_shapes,
                                    bool random_shape_size, bool random_colors)
 ```
-with
 
- * `pulling` indicating if one of the shape should be pulled upward,
- * `nb_sequences` the number of sequences to generate
- * `nb_images` the number of frames per sequence
- * `image_height` an `image_width` the individual image size
- * `nb_shapes` how many rectangular shapes to put in the simulation
- * `random_shape_size` should they be of different size
- * `random_colors` should they be of different colors
+where
+
+ * `pulling` indicates if one of the shape should be pulled upward,
+ * `nb_sequences` is the number of sequences to generate
+ * `nb_images` is the number of frames per sequence
+ * `image_height` and `image_width` is the individual image size
+ * `nb_shapes` is the number of rectangular shapes in the simulation
+ * `random_shape_size` states if the shapes should be of different sizes
+ * `random_colors` states if they should be of different colors
 
 The returned ByteTensor has five dimensions:
 
  * Sequence index
  * Image index
- * Channel (3, as for RGB)
+ * Channel (3 since it is RGB)
  * Pixel row
  * Pixel col